SOIL MOISTURE AND METEOROLOGICAL OBSERVATIONS FROM THE MURRUMBIDGEE CATCHMENT

Size: px
Start display at page:

Download "SOIL MOISTURE AND METEOROLOGICAL OBSERVATIONS FROM THE MURRUMBIDGEE CATCHMENT"

Transcription

1 SOIL MOISTURE AND METEOROLOGICAL OBSERVATIONS FROM THE MURRUMBIDGEE CATCHMENT Rodger Young, Jeffrey Walker, Nicholas Yeoh, Adam Smith, Kevin Ellett, Olivier Merlin and Andrew Western Department of Civil and Environmental Engineering The University of Melbourne 13 May, 2008 Acknowlegements : Initial site installation and maintenance was funded by the CRC for Hydrology (old sites) and Australian Research Council Discovery Grant DP (new sites). Ongoing site maintenance and sensor calibration (new sites) has been funded by Australian Research Council Discovery Grants DP and DP Support from the Australian Research Council Network for Earth System Science (ARCNESS) to develop a NetCDF version of the data set together with supporting documentation to facilitate its dissemination to the broader scientific community is also acknowledged.

2 0.0 SUMMARY: This report describes the soil moisture and meteorological data set from the 100,000km 2 Murrumbidgee experimental catchment in southern New South Wales, Australia. The data set includes soil moisture from 18 old sites since 2001 and 20 new sites since In addition to the rainfall data measured at the soil moisture sites, meteorological data from neighbouring Bureau of Meteorology automatic weather stations is also provided to facilitate the use of this data in land surface modelling studies. The diverse climatic, topographic and land cover characteristics of the Murrumbidgee, typical of much of Australia, make it an excellent demonstration test-bed for land surface model development. moisture monitoring sites are distributed across the catchment, with a concentration of sites in three regions. This data set and supporting documentation is available on the World Wide Web at The data is available in Excel, ascii and NetCDF formats. 1.0 DATA SET OVERVIEW: The Murrumbidgee Moisture Monitoring Network (MSMMN) consists of thirty eight stations distributed across the Murrumbidgee River Basin, NSW, Australia (see figures 1, 2 & 3). Over time two distinct monitoring stations configurations were established: 18 - old sites (see schematic 1 and table 1) and 20 - new sites (see schematic 2 and table 2). Tables 3 & 4 provide summaries of sensor characteristics for both the old and new sites respectively. Data measured at the old sites includes soil moisture, soil temperature, soil suction and rainfall (see table 5). The new sites replicate the old sites, but do not include soil suction instruments and only measure temperature at two depths (see table 6). At the old sites raingauges are installed at 2.5m and are above the canopy, while at new sites they are installed at 0.5m. All other sensors are in-ground sensors. Moreover, different soil moisture sensors were used in the two installations due to changes in sensor technology from 2001 to Figure 1. Variation in annual rainfall across Australia. The Murrumbidgee catchment is outlined in yellow. Figure 2: The Murrumbidgee Moisture Monitoring Network. The catchment topography is also shown.

3 Figure 3: The Murrumbidgee showing locations of soil moisture monitoring stations; background is a public domain real colur landsat image. The 18 - old sites numbered, M1-M7, A1-A5, K1-K5 and Y3, were established in 2001 under the CRC for Hydrology, while the 20 - new sites numbered, K6- K8, K10-K14, Y1, Y2 and Y4-Y13, were established in 2003 and maintained under a series of ARC grants (see tables 1 & 2 for precise locations). The old site data are available from the Austral spring 2001 to present, and the new site data are available from the Austral spring 2003 to present. The data set will be updated with new measurements periodically. 1.0 CATCHMENT DESCRIPTION: The Murrumbidgee is a 100,000 km 2 catchment located in southeast of Australia with latitude ranging from 33S to 37S and longitude from 143E to 150E. There is significant spatial variability in climate (alpine to semi-arid), soils, vegetation and land use. Figure 2 shows the catchment topography with elevation varying from 50m in the west of the catchment to in excess of 2000m in the east. Climate variations are primarily associated with elevation, varying from semi-arid in the west, where the average annual precipitation is 300mm, to temperate in the east, where average annual precipitation reaches 1900mm in the Snowy Mountains. The evapotranspiration (ET) in the Murrumbidgee is about the same as precipitation in the west but represents only half of the precipitation in the east. s in the Murrumbidgee vary from sandy to clayey, with the western plains being dominated by finer-textured soils and the eastern half of the catchment being dominated by medium-to-coarse textured soils.

4 Landuse in the catchment is predominantly agricultural with the exception of steeper parts of the catchment, which are a mixture of native eucalypt forests and exotic forest plantations. Agricultural landuse varies greatly in intensity and includes pastoral, more intensive grazing, broad-acre cropping, and intensive agriculture in irrigation areas along the mid-lower Murrumbidgee. 2.0 INSTRUMENTATION DESCRIPTION: Each soil moisture site of the Murrumbidgee monitoring network measures the soil moisture at 0-5cm with soil dielectric sensor (Stevens Hydraprobe ) or 0-8cm, 0-30cm, 30-60cm and 60-90cm with water content reflectometers (Campbell Scientific) (see tables 5 & 6). Hydraprobes are soil dielectric sensor operating at 50MHz. At each measurement point, a volumetric soil moisture value is inferred from the real component of the measured relative dielectric constant (DC) and the conductivity (linked to salinity) from the imaginary component. Because the real component of DC(εr) may vary with temperature, a temperature correction is proposed by the manufacturer that uses the measured soil temperature at the sensor mean depth of 2.5cm. The water content was then calculated from the temperature-corrected real DC via a calibration equation that incorporates the effects of soil properties from samples that include a wide range of soil types ranging from sand to clay. Reflectometers consist of a printed circuit board connected to two parallel stainless steel rods that act as wave guides. They measure the travel time of an output pulse to estimate changes in the bulk soil dielectric constant. The period is converted to volumetric water content with a calibration equation parameterised with soil type and soil temperature. Such sensors operate in a lower range of frequencies ( MHz) than Time Domain Reflectometers TDR ( MHz). moisture sites also continuously monitor precipitation (using the tipping bucket raingauge TB4) and soil temperature. Additionally Time Domain Reflectometry (TDR) sensors are installed and are monitored periodically when sites are visited to provide additional calibration information and ongoing checks on the reflectometers. All stations (except for one) in Yanco and (except for five) in Kyeamba were installed throughout late 2003 and early 2004 (new sites) while the eighteen other stations have operated since late 2001 (old sites). Schematics 1 and 2 illustrate the differences between the old and new sites. The old sites use the Water content reflectometer CS615 (Campbell, while the new sites use the updated version CS616 (Campbell, which operates at a somewhat higher measurement frequency (175MHz compared with 44MHz). The old sites monitor soil temperature and soil suction (in the kPa range) at the midpoint of the four layers 0-8cm, 0-30cm, 30-60cm and 60-90cm, whereas the new sites only monitor 15cm soil temperature from T-107 thermistors (Campbell, All new sites have been upgraded since April 2006 to include a 0-5cm soil moisture and 2.5cm soil temperature from a (modified) HydraProbe (Stevens Water; aspx?sku='70030').

5 Schematic 1 : Old site sensor installation. Schematic 2 : New site sensor installation.

6 Site # Table 1 Coordinates for each of the old site stations together with a summary of meteorological, topographical and landscape characteristics. Detailed soil characteristics are not currently available for these sites. The old site # refers to the numbering system used in earlier documentation that describes the old sites. Old Site # Annual Precipitation (mm) Annual areal potential evapotranspiration (mm) Name Latitude (WGS84) Longitude (WGS84) Elevation (m AHD) Land Use Slope (%) Aspect (deg) M1 1 Cooma Airfield Grassland ~ M2 2 Canberra Airport Grassland ~ M3 3 Cootamundra A drome Grassland ~ M4 4 West Wyalong Airfield Grassland ~ M5 5 Balranald-Bolton Park Grazing ~ M6 6 Hay AWS Grazing ~ M7 7 Griffith Aerodrome Grassland ~ A1 16 Keenan Grazing A2 17 Strathvale Grazing A3 15 Weeroona Grazing A4 10 Rochedale Grazing A5 18 Crawford Grazing K1 12 Waitara Grazing K2 14 Kyeamba Downs Grazing K3 13 Kyeamba Station Grazing K4 11 Ginninderra Crop/grazing K5 9 Ginninderra Grazing Y3 8 Yanco Research Station Grassland ~

7 New Site Table 2 Coordinates for each of the new site stations together with a summary of meteorological, topographical and landscape characteristics. Detailed soil characteristics are provided in Appendix 2. Annual Precipitation (mm) Annual areal potential evapotranspiration (mm) # Name Latitude (WGS84) Longitude (WGS84) Elevation (m AHD) Land Use Slope (%) Aspect (deg) K6 Cox Grazing K7 Wollumbi Grazing ~ K8 Benwerrin Grazing K10 Alabama Grazing ~ K11 Silver Springs Grazing K12 Samarra Crop/grazing ~ K13 Evergreen Grazing K14 Kyeamba Mouth Grazing ~ Y1 Uri Park Crop/grazing ~ Y2 Banandra Grazing ~ Y4 Eulo Irrig.crop/grazing ~ Y5 Dry Lake Cropping ~ Y6 S. Coleambally Irrigated crop ~ Y7 Yamma Rd Grazing ~ Y8 Wynella Grazing ~ Y9 Yammacoona Irrigated crop ~ Y10 Cheverelis Grazing ~ Y11 Bundure Grazing ~ Y12 Spring Bank Crop/grazing ~ Y13 Widgiewa Grazing ~

8 Table 3: Old site sensor description and characteristics summary. Sensor Make and Model Accuracy Resolution Measurement range moisture temperature suction Campbell Scientific CS615 Water content reflectometer 0.025m 3 /m 3 rms error 0.001m 3 /m 3 Unidata 6507A Thermistors ±0.2 ºC 0.1ºC to 162ºC Measurement Engineering Australia Gypsum Block Hydrological Services TB4/0.2mm tipping bucket raingauge 1.5-4% of measured value ±5% 0.2mm kPa Table 4: New site sensor description and characteristics summary. Sensor Make and Model Accuracy Resolution Measurement range Surface soil moisture Surface soil temperature moisture temperature Stevens Hydra Probe 0.033m 3 /m 3 rms error 0.001m3/m3 Stevens Hydra Probe ±0.6 ºC 0.1ºC -10 to 65ºC Campbell Scientific CS616 Water content reflectometer Campbell Scientific T107 Temperature Thermistors Hydrological Services TB4/0.2mm tipping bucket raingauge m 3 /m 3 rms error 0.001m 3 /m 3 ±0.1ºC 0.1ºC -35 to 50ºC ±5% 0.2mm

9 Table 5: Old site sensor installation / measurement depths. New Site # M1 M2 M3 M4 M5 M6 M7 Y3 K5 A4 K4 K1 K3 K2 A3 A1 A2 A5 Name Cooma Airfield Canberra Airport Cootamundra Aerodrome West Wyalong Airfield Balranald- Bolton Park Hay AWS (UNSW Field Station) Griffith Aerodrome Yanco Research Station Kyeamba- Ginninderra (Gentle Slope) Adelong- Rochedale Kyeamba- Ginninderra (Flats) Kyeamba-Waitara Kyeamba Kyeamba- Kyeamba Downs Adelong- Weeroona Adelong-Keenan Adelong- Strathvale Adelong- Crawford(Flat) Moisture (cm) 0-8, 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, , 0-30, 30-60, temperature (cm) water suction (cm) 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 59 4, 15, 45, 59 4, 15, 45, , 15, 45, , 15, 45, 70 4, 15, 45, 66 4, 15, 45, 75 4, 15, 45, 75 4, 15, 42 4, 15, 42 4, 15, 45, 66 4, 15, 45, , 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 74 4, 15, 45, 74 4, 15, 45, , 15, 45, , 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75 4, 15, 45, 75

10 Table 6: New site sensor installation / measurement depths. New Site # K6 K7 K8 K10 K11 K12 K13 K14 Y1 Y2 Y4 Y5 Y6 Y7 Y8 Y9 Y10 Y11 Y12 Y13 Name Cox Wollumbi Benwerrin Alambama Silver Springs Samarra Evergreen Kyeamba Mouth Uri Park Banandra Eulo Dry Lake S. Coleambally Yamma Rd. Wynella Yammacoona Cheverelis Bundure Spring Bank Widgiewa Moisture Temperature (cm) (cm) 0-5, 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , , 0-30, 30-60, , 15

11 4.0 SOIL MOISTURE SENSOR CALIBRATION Sensor response to soil moisture varies with salinity, density, soil type and temperature. Consequently soil moisture sensor calibration has being undertaken using both laboratory and field measurements. The in-situ calibration consists of comparing reflectometer measurements with both field gravimetric samples and occasional TDR readings. As the CS615 and CS616 sensors are particularly sensitive to soil temperature fluctuations the temperature sensors were installed to provide a continuous record of soil temperature at the midpoint of reflectometers. At the new sites, deeper temperatures are assumed to have the same characteristics across the Yanco and Kyeamba sites and are therefore estimated from soil temperature profile measurements made at the old soil moisture sites. Calibration of the CS615 sensors located at the old sites is detailed in Western et al. (2005) and Western and Seyfried (2005), while calibration of the CS616 sensors at the new sites is detailed in Yeoh et al. (2008). Calibration of the Stevens Hydra Probe is described in Merlin et al. (2007). The CS615, CS616 and Hydra Probe data have been temperature corrected and calibration relationships applied as per the documents above for each sensor. The calibration results suggested an overall root mean squared error of between 0.021m 3 /m 3 and 0.051m 3 /m 3 depending on the sensor type and sensor location (see tables 3 and 4). The processed soil moisture data shows some diurnal variations (see figures 4 & 5), which is believed to be a result of some residual temperature effects and actual diurnal variations in soil moisture due to ET flux and water potential gradients in the near surface soil.

12 K1 Spring 2006 Daily SM 0-8cm SM 0-30cm SM 30-60cm SM 60-90cm Moisture (%vol) Data Missed Daily (mm) Sep Sep Sep-06 1-Oct Oct Oct Oct Nov Nov Nov-06 / Time 0 Figure 4: Time series of soil moisture and rainfall plotted from one of the old sites at Kyeamba Creek showing diurnal variation in the soil moisture sensor responses. K14 Spring 2006 Daily SM 0-5cm SM 0-30cm SM 30-60cm SM 60-90cm Moisture (%vol) Daily (mm) Sep Sep Sep-06 1-Oct Oct Oct Oct Nov Nov Nov-06 / Time 0 Figure 5: Time series of soil moisture and rainfall plotted from one of the new sites at Kyeamba Creek also showing diurnal variation in the soil moisture sensor responses.

13 5.0 DATA COLLECTION AND PROCESSING: There are two components to this data set. The first component is the field measured rainfall, soil moisture, soil temperature and soil water suction from the Murrumbidgee Monitoring Network described in the earlier sections of this report. The second component is the model forcing data sets developed from observations made by the Australian Bureau of Meteorology. These two components are discussed in turn. At the 18 old sites, soil moisture, soil temperature, soil suction and site measured rainfall data are recorded using Unidata Starloggers. The soil temperature and rainfall accumulation are measured at a six-minute interval, but provided at a 30- minute interval that matches the measurement interval for soil moisture and soil water suction. The soil moisture, soil temperature and soil suction are instantaneous measurements, and the rainfall is reported as 6-minute, 30-minute and daily accumulations. At the 20 new sites, soil moisture, soil temperature and site measured rainfall data are recorded using Campbell Scientific loggers. The soil moisture and soil temperature are measured as an average of 20 one-minute sensor readings, and the rainfall for every 0.2mm of rain collected (at one second resolution). The rainfall is reported here as 6-minute, 20-minute and daily accumulations. Raingauge calibrations have been checked using a raingauge calibrator that releases the equivalent of 20mm of water into the raingauge in a controlled manner over approximately 13 minutes. temperature data are required for temperature correcting the CS615 and CS616 signals, whereas the modified Hydra Probe itself measures soil temperature directly at an appropriate depth to correct the soil moisture component of the signal. Where soil temperature is missing (primarily at old sites) it has been infilled from nearby sites. Thus all soil moisture estimates supplied in the data set have been temperature corrected; however, the infilled temperature has not been included in the data made publicly available and has instead been flagged as missing. Sites were visited every few months so as to undertake various maintenance tasks. Data checking procedures are described in the section below. The model forcing data sets were developed primarily from Australian Bureau of Meteorology observations, with the exception of rainfall. For the old sites, rainfall was observed locally at the site but was supplemented by Bureau observations where there was missing data and for the period from 1 January 2000 to the establishment of each particular site in the observation network. The three intensive soil moisture monitoring areas, Kyeamba Creek, Adelong Creek, and Yanco, each have only one forcing data set. Some estimation and translation of observations was required and the methods used to achieve this are described in Siriwardena et al.

14 (2003). This is particularly the case for radiation estimates, as there is only a sparse radiation observation network in Australia. 6.0 QUALITY CONTROL PROCEDURES All data from the soil moisture monitoring stations has been visually inspected to identify errors. This checking included comparisons between soil layers and with rainfall. In addition to visual inspections, tipping bucket raingauge data has been checked using double mass plots of daily accumulations to identify periods where gauges were not working. For most sites this was done by comparing the recorded data with Bureau of Meteorology data. Raingauge catch rates generally agreed within 5%. For the Kyeamba Creek and Adelong Creek, rainfall measurements from neighbouring soil moisture stations were compared. Erroneous data were removed from the data base and are flagged as missing data. 7.0 GAP FILLING PROCEDURES No gap filling of data from the soil moisture monitoring stations has been undertaken. All missing or poor quality data are flagged as -99. The methods used to develop the forcing data sets are described in detail in Siriwardena et al. (2003). 8.0 DATA REMARKS: These data are generally of high and known quality. There are two known artefacts in the data set. 1. The 0-5cm, 0-8cm and 0-30cm soil moisture data contain a diurnal variation that we believe may be partially due to an uncorrected temperature effect on the soil moisture measurements. 2. At the old sites, the tipping bucket raingauges are installed at 2.5m above the ground, making them vulnerable to some under-catch due to wind effects. Comparisons with daily data from co-located Bureau of Meteorology gauges installed below 1m indicate some evidence of an undercatch of mm for this for very daily small (<5 mm) rainfall totals at Balranald, Canberra, Cootamundra and West Wyalong. There is no discernable difference for larger events. These data (forcing data, soil moisture, soil temperature) have been used in a modelling study by Richter et al. (2004). No evidence of data problems was found during that study.

15 9.0 REFERENCE REQUIREMENTS: The following paper must be referenced in all publications derived from use of this data set. Smith A.B., Chiew, F.H.S., Ellett, K.M., Grayson, R.B., Pipunic, R.C., Richter, H., Shoemark, V., Siriwidena, L., Summerell, G., Walker, J.P., Western, A.W., and Young, R.I. The Murrumbidgee Moisture Monitoring Network Data Set, Water Resources Research, In review REFERENCES: Merlin, O., Walker, J. P., Panciera, R., Young, R., Kalma, J.D. and Kim, E.J., (2007). Calibration of a Moisture Sensor in Heterogeneous Terrain with the National Airborne Field Experiment (NAFE) Data. In Oxley L. and Kulasiri D. (Eds), MODSIM 2007 International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, Richter, H., Western, A.W. and Chiew, F.H.S., (2004). The Effect of and Vegetation Parameters in the ECMWF Land Surface Scheme. Journal of Hydrometeorology, 5(6), Siriwardena, L., Chiew, F., Ritchter, H. and Western, A. (2003). Preparation of a climate data set for the Murrumbidgee river catchment for land surface modeling experiments. Working Document 03/1, CRC for Hydrology, February pp. Western, AW and Seyfried, MS, (2005). A Calibration and Temperature Correction Procedure for the Water Content Reflectometer. Hydrological Processes, 19, Western, A.W., Young, R.I., Chiew, F., (2005). Murrumbidgee Moisture Monitoring Network Field Calibration. Cooperative Research Centre for Hydrology. Yeoh, N., Walker, J.P., Young, R.I., Rudiger, C., Smith, A.B., Ellett, K.M., Pipunic, R.C., Western, A.W. (2008). Calibration of the Murrumbidgee Monitoring Network CS616 Moisture Sensors. Department of Civil and Environmental Engineering. The University of Melbourne.

16 11.0 CONTACTS: Assoc.Prof Jeffrey Walker Department of Civil and Environmental Engineering The University of Melbourne Victoria 3010 Australia Phone : Fax: Assoc.Prof Andrew Western Department of Civil and Environmental Engineering The University of Melbourne Victoria 3010 Australia a.western@unimelb.edu.au Phone : Fax:

17 APPENDIX 1 : OLD SITE DESCRIPTIONS SITE DESCRIPTION Site Name Location Terrain, mm Vegetation Adelong Creek A1 Lat Long Elev 834m Sloping n.a. Annual Precipitation 1360 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms A1 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006

18 Site Name Location Terrain, mm Vegetation Adelong Creek A2 Lat Long Elev 567m Sloping n.a. Annual Precipitation 1193 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms A2 Data Availability Timeline Site destroyed by grass fire 13/1/05 (not replaced) 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006

19 Site Name Location Terrain, mm Vegetation Adelong Creek A3 Lat Long Elev 503m Sloping n.a. Annual Precipitation 1329 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms A3 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

20 Site Name Location Terrain, mm Vegetation Adelong Creek A4 Lat Long Elev 536m Sloping n.a. Annual Precipitation 900 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms A4 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

21 Site Name Location Terrain, mm Vegetation Adelong Creek A5 Lat Long Elev 375m Flat n.a. Annual Precipitation 936 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms A5 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

22 Site Name Location Terrain, mm Vegetation Kyeamba Creek K1 Lat Long Elev 435m Sloping n.a. Annual Precipitation 730 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms K1 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

23 Site Name Location Terrain, mm Vegetation Kyeamba Creek K2 Lat Long Elev 338m Sloping n.a. Annual Precipitation 728 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms K2 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

24 Site Name Location Terrain, mm Vegetation Kyeamba Creek K3 Lat Long Elev 311m Gentle Sloping n.a. Annual Precipitation 725 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms K3 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

25 Site Name Location Terrain, mm Vegetation Kyeamba Creek K4 Lat Long Elev 295m Gentle Sloping n.a. Annual Precipitation 732 mm Improved pasture/oats Grazing/crop AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms K4 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

26 Site Name Location Terrain, mm Vegetation Kyeamba Creek K5 Lat Long Elev 322m Gentle Sloping n.a. Annual Precipitation 749 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms K5 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

27 Site Name Location Terrain, mm Vegetation Murrumbidgee M1 Lat Long Elev 937m Flat n.a. Annual Precipitation 555 mm Grass Grassland AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M1 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

28 Site Name Location Terrain, mm Vegetation Murrumbidgee M2 Lat Long Elev 576m Flat n.a. Annual Precipitation 643 mm Grass Grassland AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M2 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

29 Site Name Location Terrain, mm Vegetation Murrumbidgee M3 Lat Long Elev 333m Flat n.a. Annual Precipitation 668 mm Grass Grassland AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M3 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

30 Site Name Location Terrain, mm Vegetation Murrumbidgee M4 Lat Long Elev 257m Flat n.a. Annual Precipitation 506 mm Grass Grassland AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M4 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

31 Site Name Location Terrain, mm Vegetation Murrumbidgee M5 Lat Long Elev 62m Flat n.a. Annual Precipitation 333 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M5 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

32 Site Name Location Terrain, mm Vegetation Murrumbidgee M6 Lat Long Elev 89m Flat n.a. Annual Precipitation 368 mm Improved pasture Grazing AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M6 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

33 Site Name Location Terrain, mm Vegetation Murrumbidgee M7 Lat Long Elev 137m Flat n.a. Annual Precipitation 437 mm Grass Grassland AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms M7 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

34 Site Name Location Terrain, mm Vegetation Murrumbidgee Y3 Lat Long Elev 144m Flat n.a. Annual Precipitation 442 mm Grass Grassland AVAILABLE DATA SINCE 1/12/01 Moist 0-8cms Moist 0-30cms Moist 30-60cms Moist 60-90cms Temp 4cms Temp 15cms Temp 45cms Temp 75cms Suct 4cms Suct 15cms Suct 45cms Suct 75cms Y3 Data Availability Timeline 1/12/ /03/ /06/ /09/2002 5/01/ /04/ /07/2003 1/11/2003 9/02/ /05/ /08/2004 5/12/ /03/ /06/2005 1/10/2005 9/01/ /04/ /07/2006 5/11/2006

35 APPENDIX 2 : NEW SITE DESCRIPTIONS SITE DESCRIPTION Site Name Location Kyeamba Creek K6 Lat Long Elev 317m Terrain Gentle sloping Silty loam: clay 6.51%/silt 38.3%/sand 55.2%, mm Annual Precipitation 768 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 10/5/06. AVAILABLE DATA SINCE 5/11/03 Hydra Probe 0-5cm SM K6 Data Availability Timeline CS cm SM CS cm SM CS cm SM T107 15cm Temp 5/11/ /02/ /05/ /08/2004 9/12/ /03/ /06/2005 5/10/ /01/ /04/2006 1/08/2006 9/11/ /02/ /05/2007 5/09/ /12/2007

36 Kyeamba Creek Site Name K7 Location Lat Long Elev 259m Terrain Flat Silty loam: clay 10.2%/silt 31.8%/sand 58.0%, mm Annual Precipitation 685 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 10/5/06. AVAILABLE DATA SINCE 5/11/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp K7 Data Availability Timeline 5/11/ /02/ /05/ /08/2004 9/12/ /03/ /06/2005 5/10/ /01/ /04/2006 1/08/2006 9/11/ /02/ /05/2007 5/09/ /12/2007

37 Kyeamba Creek Site Name K8 Location Lat Long Elev 326m Terrain Gentle sloping Silty loam: clay 9.3%/silt 27.7%/sand 63.0%, mm Annual Precipitation 704 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 8/5/06. AVAILABLE DATA SINCE 5/11/03 Hydra Probe 0-5cm SM K8 Data Availability Timeline CS cm SM CS cm SM CS cm SM T107 15cm Temp 5/11/ /02/ /05/ /08/2004 9/12/ /03/ /06/2005 5/10/ /01/ /04/2006 1/08/2006 9/11/ /02/ /05/2007 5/09/ /12/2007

38 Kyeamba Creek Site Name K10 Location Lat Long Elev 232m Terrain Flat Silty loam: clay 8.1%/silt 49.5%/sand 42.4%, mm Annual Precipitation 641 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 9/5/06. AVAILABLE DATA SINCE 6/12/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp K10 Data Availability Timeline 6/12/ /03/ /06/2004 1/10/2004 9/01/ /04/ /07/2005 5/11/ /02/ /05/2006 1/09/ /12/ /03/ /06/2007 6/10/2007

39 Site Name Location Terrain, mm Vegetation Kyeamba Creek K11 Lat Long Elev 327m Gentle Sloping n.a. Annual Precipitation 783 mm Improved pasture Grazing Site Upgrades : Hydra Probe installed 9/5/06. AVAILABLE DATA SINCE 4/11/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp K11 Data Availability Timeline 4/11/ /02/ /05/ /08/2004 8/12/ /03/ /06/2005 4/10/ /01/ /04/ /07/2006 8/11/ /02/ /05/2007 4/09/ /12/2007

40 Kyeamba Creek Site Name K12 Location Lat Long Elev 220m Terrain Flat Silty loam: clay 8.4%/silt 33.4%/sand 58.2%, mm Annual Precipitation 596 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 9/5/06. AVAILABLE DATA SINCE 5/11/03 Hydra Probe 0-5cm SM K12 Data Availability Timeline CS cm SM CS cm SM CS cm SM T107 15cm Temp 5/11/ /02/ /05/ /08/2004 9/12/ /03/ /06/2005 5/10/ /01/ /04/2006 1/08/2006 9/11/ /02/ /05/2007 5/09/ /12/2007

41 Kyeamba Creek Site Name K13 Location Lat Long Elev 261m Terrain Gentle sloping Silty loam: clay 4.0%/silt 21.0%/sand 75.0%, mm Annual Precipitation 623 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 9/5/06. AVAILABLE DATA SINCE 16/11/03 K13 Data Availability Timeline Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp 16/11/ /02/2004 3/06/ /09/ /12/ /03/2005 8/07/ /10/ /01/2006 4/05/ /08/ /11/ /02/2007 8/06/ /09/ /12/2007

42 Kyeamba Creek Site Name K14 Location Lat Long Elev 184m Terrain Flat Silty loam: clay 10.2%/silt 50.9%/sand 38.9%, mm Annual Precipitation 544 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 9/5/06. AVAILABLE DATA SINCE 6/11/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp K14 Data Availability Timeline 6/11/ /02/ /05/2004 1/09/ /12/ /03/ /06/2005 6/10/ /01/ /04/2006 2/08/ /11/ /02/ /05/2007 6/09/ /12/2007

43 Yanco-Coleambally Site Name Y1 Location Lat Long Elev 120m Terrain Flat Silty loam: clay 13.3%/silt 32.1%/sand 54.6%, mm Annual Precipitation 416 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 10/6/06. AVAILABLE DATA SINCE 27/12/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM Y1 Data Availability Timeline CS cm SM T107 15cm Temp 27/12/2003 5/04/ /07/ /10/ /01/ /05/ /08/ /11/2005 6/03/ /06/ /09/ /12/ /04/ /07/ /10/2007

44 Yanco-Coleambally Site Name Y2 Location Lat Long Elev 130m Terrain Flat Silty loam: clay 17.2%/silt 45.8%/sand 37.1%, mm Annual Precipitation 426 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 20/4/06. AVAILABLE DATA SINCE 16/1/04 Hydra Probe 0-5cm SM CS cm SM CS cm SM Y2 Data Availability Timeline CS cm SM T107 15cm Temp 16/01/ /04/2004 3/08/ /11/ /02/ /05/2005 7/09/ /12/ /03/2006 4/07/ /10/ /01/ /04/2007 8/08/ /11/2007

45 Site Name Location Yanco-Coleambally Y4 Lat Long Elev 130m Terrain Flat Silty loam: clay 19.4%/silt 33.2%/sand 47.4%, mm Annual Precipitation 417 mm Vegetation Improved pasture Irrigated crop/grazing Site Upgrades : Hydra Probe installed 29/5/06. AVAILABLE DATA SINCE 21/12/03 Y4 Data Availability Timeline Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp 21/12/ /03/2004 8/07/ /10/ /01/2005 4/05/ /08/ /11/ /02/2006 8/06/ /09/ /12/2006 4/04/ /07/ /10/2007

46 Yanco-Coleambally Site Name Y5 Location Lat Long Elev 136m Terrain Flat Silty loam: clay 11.7%/silt 21.4%/sand 66.9%, mm Annual Precipitation 435 mm Vegetation Improved pasture Grazing Site Upgrades : Hydra Probe installed 12/10/06. AVAILABLE DATA SINCE 29/12/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp Y5 Data Availability Timeline 29/12/2003 7/04/ /07/ /10/2004 1/02/ /05/ /08/ /11/2005 8/03/ /06/ /09/2006 2/01/ /04/ /07/ /10/2007

47 Site Name Location Terrain, mm Vegetation Yanco-Coleambally Y6 Lat Long Elev 121m Flat n.a. Annual Precipitation 411 mm Oats Irrigated crop Site Upgrades : Hydra Probe installed 4/7/06. AVAILABLE DATA SINCE 21/12/03 Hydra Probe 0-5cm SM Y6 Data Availability Timeline CS cm SM CS cm SM CS cm SM T107 15cm Temp 21/12/ /03/2004 8/07/ /10/ /01/2005 4/05/ /08/ /11/ /02/2006 8/06/ /09/ /12/2006 4/04/ /07/ /10/2007

48 Yanco-Coleambally Site Name Y7 Location Lat Long Elev 128m Terrain Flat Silty loam: clay 25.1%/silt 36.3%/sand 38.6%, mm Vegetation Annual Precipitation 424 mm Improved pasture Grazing Site Upgrades : Hydra Probe installed 13/10/06. AVAILABLE DATA SINCE 17/12/03 Hydra Probe 0-5cm SM Y7 Data Availability Timeline CS cm SM CS cm SM CS cm SM T107 15cm Temp 17/12/ /03/2004 4/07/ /10/ /01/ /04/2005 8/08/ /11/ /02/2006 4/06/ /09/ /12/ /03/2007 9/07/ /10/2007

49 Site Name Location Terrain, mm Vegetation Yanco-Coleambally Y8 Lat Long Elev 149m Flat n.a. Annual Precipitation 451 mm Improved pasture Grazing Site Upgrades : Hydra Probe installed 11/10/06. AVAILABLE DATA SINCE 11/12/03 Hydra Probe 0-5cm SM Y8 Data Availability Timeline CS cm SM CS cm SM CS cm SM T107 15cm Temp 11/12/ /03/ /06/2004 6/10/ /01/ /04/2005 2/08/ /11/ /02/ /05/2006 6/09/ /12/ /03/2007 3/07/ /10/2007

50 Yanco-Coleambally Site Name Y9 Location Lat Long Elev 122m Terrain Flat Silty loam: clay 13.9%/silt 32.8%/sand 53.3%, mm Vegetation Annual Precipitation 416 mm Oats Irrigated crop Site Upgrades : Hydra Probe installed 13/10/06. AVAILABLE DATA SINCE 17/12/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM Y9 Data Availability Timeline CS cm SM T107 15cm Temp 17/12/ /03/2004 4/07/ /10/ /01/ /04/2005 8/08/ /11/ /02/2006 4/06/ /09/ /12/ /03/2007 9/07/ /10/2007

51 Site Name Location Terrain, mm Vegetation Yanco-Coleambally Y10 Lat Long Elev 119m Flat n.a. Annual Precipitation 437 mm Improved pasture Grazing Site Upgrades : Hydra Probe installed 13/10/06. AVAILABLE DATA SINCE 9/1/04 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM Y10 Data Availability Timeline T107 15cm Temp 9/01/ /04/ /07/2004 4/11/ /02/ /05/ /08/2005 9/12/ /03/ /06/2006 5/10/ /01/ /04/2007 1/08/2007 9/11/2007

52 Site Name Location Terrain, mm Vegetation Yanco-Coleambally Y11 Lat Long Elev 113m Flat n.a. Annual Precipitation 406 mm Improved pasture Grazing Site Upgrades : Hydra Probe installed 13/10/06. AVAILABLE DATA SINCE 8/1/04 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM Y11 Data Availability Timeline T107 15cm Temp 8/01/ /04/ /07/2004 3/11/ /02/ /05/ /08/2005 8/12/ /03/ /06/2006 4/10/ /01/ /04/ /07/2007 8/11/2007

53 Site Name Location Terrain, mm Vegetation Yanco-Coleambally Y12 Lat Long Elev 120m Flat n.a. Annual Precipitation 428 mm Oats/improved pasture Crop/grazing Site Upgrades : Hydra Probe installed 13/10/06. AVAILABLE DATA SINCE 11/12/03 Hydra Probe 0-5cm SM CS cm SM Y12 Data Availability Timeline CS cm SM CS cm SM T107 15cm Temp 11/12/ /03/ /06/2004 6/10/ /01/ /04/2005 2/08/ /11/ /02/ /05/2006 6/09/ /12/ /03/2007 3/07/ /10/2007

54 Site Name Location Terrain, mm Vegetation Yanco-Coleambally Y13 Lat Long Elev 121m Flat n.a. Annual Precipitation 439 mm Improved pasture Grazing Site Upgrades : Hydra Probe installed 13/10/06. AVAILABLE DATA SINCE 11/12/03 Hydra Probe 0-5cm SM CS cm SM CS cm SM CS cm SM T107 15cm Temp Y13 Data Availability Timeline 11/12/ /03/ /06/2004 6/10/ /01/ /04/2005 2/08/ /11/ /02/ /05/2006 6/09/ /12/ /03/2007 3/07/ /10/2007

HIGH RESOLUTION AIRBORNE SOIL MOISTURE MAPPING

HIGH RESOLUTION AIRBORNE SOIL MOISTURE MAPPING HIGH RESOLUTION AIRBORNE SOIL MOISTURE MAPPING Jeffrey Walker 1, Rocco Panciera 1 and Ed Kim 2 1. Department of Civil and Environmental Engineering, University of Melbourne 2. Hydrospheric and Biospheric

More information

Simulation of Climate Change Impact on Runoff Using Rainfall Scenarios that Consider Daily Patterns of Change from GCMs

Simulation of Climate Change Impact on Runoff Using Rainfall Scenarios that Consider Daily Patterns of Change from GCMs Simulation of Climate Change Impact on Runoff Using Rainfall Scenarios that Consider Daily Patterns of Change from GCMs F.H.S. Chiew a,b, T.I. Harrold c, L. Siriwardena b, R.N. Jones d and R. Srikanthan

More information

Calibration and Evaluation of an Improved Low-Cost Soil Moisture Sensor

Calibration and Evaluation of an Improved Low-Cost Soil Moisture Sensor Calibration and Evaluation of an Improved Low-Cost Soil Moisture Sensor Colin S. Campbell, Gaylon S. Campbell, Douglas R. Cobos, and Lauren L. Bissey Decagon Devices, Inc., 2365 NE Hopkins Ct., Pullman,

More information

Using capacitance sensors to monitor soil moisture. Interpreting the numbers

Using capacitance sensors to monitor soil moisture. Interpreting the numbers Using capacitance sensors to monitor soil moisture Interpreting the numbers Terry Prichard Water Management Specialist Dept. Land, Air, and Water Resources UC Davis MEASURES OF SOIL WATER STATUS There

More information

Soil moisture measurements

Soil moisture measurements Soil moisture measurements Climatological and hydrological field work - FS2017 1 Introduction Soil moisture is a key variable in the climate system. By controlling evapotranspiration, soil moisture impacts

More information

Recent cal/val activities at the REMEDHUS network (Spain)

Recent cal/val activities at the REMEDHUS network (Spain) Centro Hispano Luso de Investigaciones Agrarias University of Salamanca (Spain) Water Resources Research Group (www.usal.es/hidrus) Recent cal/val activities at the REMEDHUS network (Spain) José Martínez-Fernández

More information

Scientific registration n : 1368 Symposium n : 3 Presentation : poster. HASEGAWA Shuichi

Scientific registration n : 1368 Symposium n : 3 Presentation : poster. HASEGAWA Shuichi Scientific registration n : 1368 Symposium n : 3 Presentation : poster Rainfall infiltration into a volcanic ash soil and soil water flux at 1-m depth Infiltration de la pluie dans un sol cendreux volcanique

More information

Calibration of Soil Moisture Measurement Using Pr2 Moisture Meter and Gravimetric-Based Approaches

Calibration of Soil Moisture Measurement Using Pr2 Moisture Meter and Gravimetric-Based Approaches ANALELE UNIVERSITĂŢII EFTIMIE MURGU REŞIŢA ANUL XXIII, NR. 1, 2016, ISSN 1453-7397 Calibration of Soil Moisture Measurement Using Pr2 Moisture Meter and Gravimetric-Based Approaches Olotu Yahaya, Omoregie

More information

Embankment and cut slope monitoring and analysis

Embankment and cut slope monitoring and analysis Embankment and cut slope monitoring and analysis Dr Derek Clarke and Dr Joel Smethurst Introduction - to understand the behaviour of clay slopes (natural/engineered/stabilised) - failure and serviceability

More information

Coefficients for Estimating SAR from Soil ph and EC Data and Calculating ph from SAR and EC Values in Salinity Models

Coefficients for Estimating SAR from Soil ph and EC Data and Calculating ph from SAR and EC Values in Salinity Models Arid Soil Research and Rehabilitation, Volume 7, pp. 29-38 0890-3069/93 $10.00 +.00 Printed in the UK. All rights reserved. Copyright 1993 Taylor & Francis Coefficients for Estimating SAR from Soil ph

More information

Hydro-climatic modelling workshop UNSW - MDB Water policy challenges and innovation

Hydro-climatic modelling workshop UNSW - MDB Water policy challenges and innovation Hydro-climatic modelling workshop UNSW - MDB Water policy challenges and innovation Presenter: Jason Alexandra Director Water Policy Coordination April 2009 Overview 1. Background 2. Challenges 3. Brief

More information

Introduction. Welcome to the Belgium Study Abroad Program. Courses:

Introduction. Welcome to the Belgium Study Abroad Program. Courses: Introduction Welcome to the Belgium Study Abroad Program Courses: AGSM 335: Soil and Water Management BAEN 460: Principals of Environmental Hydrology BAEN 460 / AGSM 335 Combined lecture and HW sessions

More information

Irrigation Improvement Options part 1- on field irrigation

Irrigation Improvement Options part 1- on field irrigation Training Course Conceptual irrigation design in the context of IRBM Arba Minch University, Arba Minch 26 30 March, 2012 Irrigation Improvement Options part 1- on field irrigation March 2012, Henk Ritzema

More information

M.L. Kavvas, Z. Q. Chen, M. Anderson, L. Liang, N. Ohara Hydrologic Research Laboratory, Civil and Environmental Engineering, UC Davis

M.L. Kavvas, Z. Q. Chen, M. Anderson, L. Liang, N. Ohara Hydrologic Research Laboratory, Civil and Environmental Engineering, UC Davis Assessment of the Restoration Activities on Water Balance and Water Quality at Last Chance Creek Watershed Using Watershed Environmental Hydrology (WEHY) Model M.L. Kavvas, Z. Q. Chen, M. Anderson, L.

More information

I/I Analysis & Water Balance Modelling. Presented by Paul Edwards

I/I Analysis & Water Balance Modelling. Presented by Paul Edwards I/I Analysis & Water Balance Modelling Presented by Paul Edwards Contents Background Wet Weather Model Calibration Inflow / Infiltration Assessment Flow Containment Options Water Balance Model 20 Year

More information

Temperature correction of substrate moisture measurements made in coir in. polytunnel-grown strawberries

Temperature correction of substrate moisture measurements made in coir in. polytunnel-grown strawberries Delta-T Devices Temperature correction of substrate moisture measurements made in coir in polytunnel-grown strawberries M. S. Goodchild, K. D. Kühn, C. Nicholl & M. D. Jenkins Delta-T Devices Ltd., 130

More information

Use of the IQQM simulation model for planning and management of a regulated river system

Use of the IQQM simulation model for planning and management of a regulated river system Integrated Water Resources Management (Proceedings of a symposium held al Davis. California. April 2000). IAHS Publ. no. 272, 2001. 83 Use of the IQQM simulation model for planning and management of a

More information

Lecture 9A: Drainage Basins

Lecture 9A: Drainage Basins GEOG415 Lecture 9A: Drainage Basins 9-1 Drainage basin (watershed, catchment) -Drains surfacewater to a common outlet Drainage divide - how is it defined? Scale effects? - Represents a hydrologic cycle

More information

Watershed Characterization, Monitoring and Measurements

Watershed Characterization, Monitoring and Measurements Watershed Characterization, Monitoring and Measurements Intent - highlight key approaches to watershed monitoring using the Fair Hill Study watershed as an example Watershed characterization and monitoring

More information

SNAMP water research. Topics covered

SNAMP water research. Topics covered SNAMP water research SNAMP water team UC Merced Topics covered Objectives, goals & overview What & why the water component of SNAMP Pre-treatment Observations Water Quality Water Quantity Modeling & Scenarios:

More information

Impact of irrigation on pasture production on two sheep and beef farms in the Central Wairarapa

Impact of irrigation on pasture production on two sheep and beef farms in the Central Wairarapa 189 Impact of irrigation on pasture production on two sheep and beef farms in the Central Wairarapa A.D. MACKAY 1, P.J. BUDDING 1 and J MORTON 2 1 AgResearch, Grasslands Research Centre, PB 11 8, Palmerston

More information

EVALUATING WATER REQUIREMENTS OF DEVELOPING WALNUT ORCHARDS IN THE SACRAMENTO VALLEY

EVALUATING WATER REQUIREMENTS OF DEVELOPING WALNUT ORCHARDS IN THE SACRAMENTO VALLEY EVALUATING WATER REQUIREMENTS OF DEVELOPING WALNUT ORCHARDS IN THE SACRAMENTO VALLEY Allan Fulton ABSTRACT Most of the research on irrigation of walnuts has primarily focused on plant water relations and

More information

Hydrologic Modeling with the Distributed-Hydrology- Soils- Vegetation Model (DHSVM)

Hydrologic Modeling with the Distributed-Hydrology- Soils- Vegetation Model (DHSVM) Hydrologic Modeling with the Distributed-Hydrology- Soils- Vegetation Model (DHSVM) DHSVM was developed by researchers at the University of Washington and the Pacific Northwest National Lab 200 Simulated

More information

BC Hydro Wind Data Study Update

BC Hydro Wind Data Study Update PUBLIC DOCUMENT September 24, 2009 Prepared for: British Columbia Hydro & Power Authority 333 Dunsmuir Street Vancouver, BC V6B 5R3 DNV Global Energy Concepts Inc. 1809 7th Avenue, Suite 900 Seattle, Washington

More information

M.L. Kavvas, Z. Q. Chen, M. Anderson, L. Liang, N. Ohara Hydrologic Research Laboratory, Civil and Environmental Engineering, UC Davis

M.L. Kavvas, Z. Q. Chen, M. Anderson, L. Liang, N. Ohara Hydrologic Research Laboratory, Civil and Environmental Engineering, UC Davis Assessment of the Restoration Activities on Water Balance and Water Quality at Last Chance Creek Watershed Using Watershed Environmental Hydrology (WEHY) Model M.L. Kavvas, Z. Q. Chen, M. Anderson, L.

More information

Air. Water. Minerals (rocks)

Air. Water. Minerals (rocks) Water Needs and Irrigation Timing for Green Peas R. Troy Peters, Ph.D. WSU Extension Irrigation Engineer Composition of Soil Air Water Minerals (rocks) Soil Water Saturation Field Capacity (FC) Excess

More information

Mission. Selected Accomplishments from Walnut Gulch. Facilities. To develop knowledge and technology to conserve water and soil in semi-arid lands

Mission. Selected Accomplishments from Walnut Gulch. Facilities. To develop knowledge and technology to conserve water and soil in semi-arid lands USDA-ARS Southwest Watershed Research Center Mission Sound Science for Watershed Decisions To develop knowledge and technology to conserve water and soil in semi-arid lands ARS Watershed Locations Selected

More information

Evaluation of the CRITERIA Irrigation Scheme Soil Water Balance Model in Texas Initial Results

Evaluation of the CRITERIA Irrigation Scheme Soil Water Balance Model in Texas Initial Results Evaluation of the CRITERIA Irrigation Scheme Soil Water Balance Model in Texas Initial Results Guy Fipps 1 and Gabriele Bonaiti 2 1 Ph.D., P.E., Department of Biological and Agricultural Engineering, 2117

More information

Alternatives of Low Cost Soil Moisture Monitoring Devices for Vegetable Production in South Miami-Dade County 1

Alternatives of Low Cost Soil Moisture Monitoring Devices for Vegetable Production in South Miami-Dade County 1 ABE 333 Alternatives of Low Cost Soil Moisture Monitoring Devices for Vegetable Production in South Miami-Dade County 1 Rafael Muñoz-Carpena, Yuncong Li, and Teresa Olczyk 2 1. Irrigation Management in

More information

LAT IS ALL we sell in agriculture. Whether

LAT IS ALL we sell in agriculture. Whether B-6152 6-04 Grain Sorghum Irrigation Leon New* LAT IS ALL we sell in agriculture. Whether the enterprise ER is corn, cattle, cauliflower, cotton, or grain sorghum water is essential for its production

More information

3/1/18 USING RADAR FOR WETLAND MAPPING IMPORTANCE OF SOIL MOISTURE TRADITIONAL METHODS TO MEASURE SOIL MOISTURE. Feel method Electrical resistance

3/1/18 USING RADAR FOR WETLAND MAPPING IMPORTANCE OF SOIL MOISTURE TRADITIONAL METHODS TO MEASURE SOIL MOISTURE. Feel method Electrical resistance 3/1/18 USING RADAR FOR WETLAND MAPPING SOIL MOISTURE AND WETLAND CLASSIFICATION Slides modified from a presentation by Charlotte Gabrielsen for this class. Southeast Arizona: Winter wet period From C.

More information

Crop Water Requirement Estimation by using CROPWAT Model: A Case Study of Halali Dam Command Area, Vidisha District, Madhya Pradesh, India

Crop Water Requirement Estimation by using CROPWAT Model: A Case Study of Halali Dam Command Area, Vidisha District, Madhya Pradesh, India Volume-5, Issue-3, June-2015 International Journal of Engineering and Management Research Page Number: 553-557 Crop Water Requirement Estimation by using CROPWAT Model: A Case Study of Halali Dam Command

More information

LONG TERM CORROSION OF BURIED CAST IRON PIPES IN NATIVE SOILS

LONG TERM CORROSION OF BURIED CAST IRON PIPES IN NATIVE SOILS LONG TERM CORROSION OF BURIED CAST IRON PIPES IN NATIVE SOILS R.B. Petersen 1 and R.E. Melchers 1 1 Centre for Infrastructure Performance and Reliability, The University of Newcastle, Australia SUMMARY:

More information

Growing Wheat under Spate Irrigation In Dera Ismail Khan ( )

Growing Wheat under Spate Irrigation In Dera Ismail Khan ( ) Growing Wheat under Spate Irrigation In Dera Ismail Khan (2006 07) M.J. Khan¹,, A. Razzaq¹, M.K. Khattak², L. Garcia³ 1 Project for Livelihood Improvement (PLI) D.I.Khan 1 Water Management Department,

More information

Irrigation Scheduling for Urban and Small Farms

Irrigation Scheduling for Urban and Small Farms Irrigation Scheduling for Urban and Small Farms Urban and Small Farm Workshop February 18, 2015 Presentation by L. Niel Allen Extension Irrigation Engineer n.allen@usu.edu http://extension.usu.edu/irrigation/

More information

Irrigation Scheduling: Checkbook Method

Irrigation Scheduling: Checkbook Method Know how. Know now. EC709 Irrigation Scheduling: Checkbook Method Steven R. Melvin, Extension Educator C. Dean Yonts, Extension Irrigation Specialist Irrigation scheduling helps determine when and how

More information

Crop Water Requirement. Presented by: Felix Jaria:

Crop Water Requirement. Presented by: Felix Jaria: Crop Water Requirement Presented by: Felix Jaria: Presentation outline Crop water requirement Irrigation Water requirement Eto Penman Monteith Etcrop Kc factor Ks Factor Total Available water Readily available

More information

Tillage and Crop Residue Removal Effects on Evaporation, Irrigation Requirements, and Yield

Tillage and Crop Residue Removal Effects on Evaporation, Irrigation Requirements, and Yield Proceedings of the 24 st Annual Central Plains Irrigation Conference, Colby, Kansas, February 21-22, 2012 Available from CPIA, 760 N.Thompson, Colby, Kansas Tillage and Crop Residue Removal Effects on

More information

Evaluation of Soil Moisture Sensors

Evaluation of Soil Moisture Sensors Evaluation of Soil Moisture Sensors Ruixiu Sui USDA-ARS Crop Production Systems Research Unit, Stoneville, MS Horace C. Pringle III Delta Research and Extension Center, Mississippi State University, Stoneville,

More information

FERTILIZER RECOMMENDATIONS

FERTILIZER RECOMMENDATIONS L-220 1956 FERTILIZER RECOMMENDATIONS fol the Rolling Plains SOIL AREAS: A East Texas Timber Country B Gulf Coast Prairie C Blackland Prai,rie o Grand Prairie E West Cross Timbers F Central Basin G Rio

More information

UC Berkeley Technical Completion Reports

UC Berkeley Technical Completion Reports UC Berkeley Technical Completion Reports Title Soil water monitoring using geophysical techniques : development and applications in agriculture and water resources management Permalink https://escholarship.org/uc/item/2zw1t2gp

More information

Time Domain Reflectometry Soil Moisture Measurement for Hydrological Modelling

Time Domain Reflectometry Soil Moisture Measurement for Hydrological Modelling Time Domain Reflectometry Soil Moisture Measurement for Hydrological Modelling Sustainable Urban Water Workshop June 4, 2015 Xinbao Yu, Ph.D., P.E., Assistant Professor University of Texas at Arlington

More information

... Flood-Runoff Farming (FRF)

... Flood-Runoff Farming (FRF) WATER HARVESTING FOR DRYLAND FARMING.... Flood-Runoff Farming (FRF) Weldemichael A. Tesfuhuney, Sue Walker & PS. van Heerden Department of Soil, Crop & Climate Sciences February 11, 213 SANCID 212 Symposium

More information

Irrigation. Presentation to. 14 January 2009, Amarillo, Texas Steve Evett

Irrigation. Presentation to. 14 January 2009, Amarillo, Texas Steve Evett Soil Water Management for Irrigation Presentation to High Plains Irrigation Conference 14 January 2009, Amarillo, Texas Steve Evett Determine The Irrigation Problem When to irrigate, Where to irrigate,

More information

Soil Moisture Monitoring By Using BUDGET Model In A Changing Climate (Case Study: Isfahan-Iran)

Soil Moisture Monitoring By Using BUDGET Model In A Changing Climate (Case Study: Isfahan-Iran) International Conference on Water Resources (ICWR 9) 26 27 May 9 \ Bayview Hotel, Langkawi. Kedah,Malaysia Soil Moisture Monitoring By Using BUDGET Model In A Changing Climate (Case Study: Isfahan-Iran)

More information

Avocado Irrigation in California. Ben Faber University of California Cooperative Extension Santa Barbara/Ventura Cos.

Avocado Irrigation in California. Ben Faber University of California Cooperative Extension Santa Barbara/Ventura Cos. Avocado Irrigation in California Ben Faber University of California Cooperative Extension Santa Barbara/Ventura Cos. ETo: 1,000 2,500 mm Rain: 250 mm S, 500 N 25,000 ha 95% Hass >15 years age Substantial

More information

A Short Review about Soil Moisture -importance, measurements and scale issues

A Short Review about Soil Moisture -importance, measurements and scale issues CEE 587: Ecohydrology A Short Review about Soil Moisture -importance, measurements and scale issues Haibin Li Department of Environmental Sciences Rutgers University Dec 15, 2003 A Short Review about Soil

More information

Estimation of Areal Average Rainfall in the Mountainous Kamo River Watershed, Japan

Estimation of Areal Average Rainfall in the Mountainous Kamo River Watershed, Japan Full Paper Journal of Agricultural Meteorology 71 (2): 9-97, 215 Estimation of Areal Average Rainfall in the Mountainous Kamo River Watershed, Japan Sanz Grifrio LIMIN a, Hiroki OUE b, and Keiji TAKASE

More information

Air. Water. Minerals (rocks)

Air. Water. Minerals (rocks) Irrigation Fundamentals R. Troy Peters, Ph.D. WSU Extension Irrigation Engineer Demonstration Composition of Soil Air Water Minerals (rocks) Soil Water Saturation Field Capacity (FC) Excess Water Permanent

More information

CropSyst Modelling Solution. Reference documentation

CropSyst Modelling Solution. Reference documentation CropSyst Modelling Solution Reference documentation Release Issue Date 1 2 September 2013 Copyright European Union, 1995 2013 Reproduction is authorised, provided the source is acknowledged, save where

More information

Application of SWAT Model in land-use. change in the Nile River Basin: A Review

Application of SWAT Model in land-use. change in the Nile River Basin: A Review Application of SWAT Model in land-use change in the Nile River Basin: A Review By: Marwa Ali, Okke Batelaan and Willy Bauwens 15-6-2011 Application of SWAT Model in land-use 1 change in the Nile River

More information

Water balance of savannah woodlands: a modelling study of the Sudanese gum belt region

Water balance of savannah woodlands: a modelling study of the Sudanese gum belt region Department of Forest Sciences/ VITRI Faculty of Agriculture and Forestry Water balance of savannah woodlands: a modelling study of the Sudanese gum belt region Syed Ashraful Alam (Ashraful.Alam@helsinki.fi)

More information

USING ARCSWAT TO EVALUATE EFFECTS OF LAND USE CHANGE ON WATER QUALITY. Adam Gold Geog 591

USING ARCSWAT TO EVALUATE EFFECTS OF LAND USE CHANGE ON WATER QUALITY. Adam Gold Geog 591 USING ARCSWAT TO EVALUATE EFFECTS OF LAND USE CHANGE ON WATER QUALITY Adam Gold Geog 591 Introduction The Soil and Water Assessment Tool (SWAT) is a hydrologic transport model with an objective to predict

More information

Shrub removal and grazing alter the spatial distribution of infiltrability in a shrub encroached woodland

Shrub removal and grazing alter the spatial distribution of infiltrability in a shrub encroached woodland Shrub removal and grazing alter the spatial distribution of infiltrability in a shrub encroached woodland Daryanto, S. 1 and Eldridge, D.J. 2 1 School of Biological, Earth and Environmental Science, UNSW

More information

Agricultural-Driven Eutrophication

Agricultural-Driven Eutrophication Agricultural-Driven Eutrophication Professor Louise Heathwaite Department of Geography University of Sheffield Phosphorus Loading to UK Waters Land Leaks! P P load load -1 yr -1 Kg Kg ha ha-1 yr-1 Agriculture

More information

Joint Research Centre (JRC)

Joint Research Centre (JRC) Joint Research Centre (JRC) Marco Pastori and Faycal Bouraoui IES - Institute for Environment and Sustainability Ispra - Italy http://ies.jrc.ec.europa.eu/ http://www.jrc.ec.europa.eu/ CONTENT Introduction

More information

Measuring discharge. Climatological and hydrological field work

Measuring discharge. Climatological and hydrological field work Measuring discharge Climatological and hydrological field work 1. Background Discharge (or surface runoff Q s) refers to the horizontal water flow occurring at the surface in rivers and streams. It does

More information

Coupling Transport and Transformation Model with Land Surface Scheme SABAE- HW: Application to the Canadian Prairies

Coupling Transport and Transformation Model with Land Surface Scheme SABAE- HW: Application to the Canadian Prairies HW-1 Coupling Transport and Transformation Model with Land Surface Scheme SABAE- HW: Application to the Canadian Prairies Allan D. Woodbury, Alireza Hejazi Department of Civil Engineering University of

More information

Application of a Basin Scale Hydrological Model for Characterizing flow and Drought Trend

Application of a Basin Scale Hydrological Model for Characterizing flow and Drought Trend Application of a Basin Scale Hydrological Model for Characterizing flow and Drought Trend 20 July 2012 International SWAT conference, Delhi INDIA TIPAPORN HOMDEE 1 Ph.D candidate Prof. KOBKIAT PONGPUT

More information

Post-closure mining pit lake water quality modelling David Dettrick 1, Brian Barnett 2, Damon Grace 3, Hiro Toki 4

Post-closure mining pit lake water quality modelling David Dettrick 1, Brian Barnett 2, Damon Grace 3, Hiro Toki 4 Post-closure mining pit lake water quality modelling David Dettrick 1, Brian Barnett 2, Damon Grace 3, Hiro Toki 4 1 Senior Integrated Mine Water Specialist 2 Principal Groundwater Modeller 3 Hydrologist,

More information

RAINFALL - RUNOFF MODELING IN AN EXPERIMENTAL WATERSHED IN GREECE

RAINFALL - RUNOFF MODELING IN AN EXPERIMENTAL WATERSHED IN GREECE Proceedings of the 14 th International Conference on Environmental Science and Technology Rhodes, Greece, 3-5 September 2015 RAINFALL - RUNOFF MODELING IN AN EXPERIMENTAL WATERSHED IN GREECE KOTSIFAKIS

More information

Crop Water Use Program for Irrigation

Crop Water Use Program for Irrigation Crop Water Use Program for Irrigation Divisions of Plant Sciences, Applied Social Sciences, Food Sciences and Bioengineering, and Soil, Environmental, and Atmospheric Sciences Water is an important factor

More information

Inside of forest (for example) Research Flow

Inside of forest (for example) Research Flow Study on Relationship between Watershed Hydrology and Lake Water Environment by the Soil and Water Assessment Tool (SWAT) Shimane University Hiroaki SOMURA Watershed degradation + Global warming Background

More information

EVALUATION OF HYDROLOGIC AND WATER RESOURCES RESPONSE TO METEOROLOGICAL DROUGHT IN THESSALY, GREECE

EVALUATION OF HYDROLOGIC AND WATER RESOURCES RESPONSE TO METEOROLOGICAL DROUGHT IN THESSALY, GREECE EVALUATION OF HYDROLOGIC AND WATER RESOURCES RESPONSE TO METEOROLOGICAL DROUGHT IN THESSALY, GREECE A. LOUKAS*, AND L. VASILIADES Laboratory of Hydrology and Water Systems Analysis,, Volos, Greece *E-mail:

More information

Surface Irrigation Suitability Assessment of the Soils of Almanaqil Ridge, Gezira State, Sudan

Surface Irrigation Suitability Assessment of the Soils of Almanaqil Ridge, Gezira State, Sudan IJETST-Vol. 2 Issue 7 Pages 23-2814 July ISSN 2348-94 2015 International Journal of Emerging Trends in Science and Technology Surface Irrigation Suitability Assessment of the Soils of Almanaqil Ridge,

More information

COMPARATIVE ACTUAL WATER CONSUMPTION OF IRRIGATED AND RAINFED PADDY RICE FIELD USING BOWEN RATIO METHOD

COMPARATIVE ACTUAL WATER CONSUMPTION OF IRRIGATED AND RAINFED PADDY RICE FIELD USING BOWEN RATIO METHOD COMPARATIVE ACTUAL WATER CONSUMPTION OF IRRIGATED AND RAINFED PADDY RICE FIELD USING BOWEN RATIO METHOD PANYA POLSAN 1, MASATOSHI AOKI 2, SA-NGUAN PATAMATAMKUL 3 1. Royal Irrigation Department, Ph.D student

More information

Monitoring soil moisture. For more efficient irrigation

Monitoring soil moisture. For more efficient irrigation Monitoring soil moisture For more efficient irrigation Bano Mehdi Advanced Integrated Water Resources Management course Bridgetown, September 26, 2007 Past drought adaptations in Canada included: Increasing

More information

ANNEX C: CROP WATER REQUIREMENT AND IRRIGATION SCHEDULE AGRICULTURE & IRRIGATION. December Paradis Someth Timo Räsänen

ANNEX C: CROP WATER REQUIREMENT AND IRRIGATION SCHEDULE AGRICULTURE & IRRIGATION. December Paradis Someth Timo Räsänen ANNEX C: CROP WATER REQUIREMENT AND IRRIGATION SCHEDULE December 2012 MK3 Optimising cascades of hydropower AGRICULTURE & IRRIGATION Paradis Someth Timo Räsänen Authors Produced by Suggested citation More

More information

Estimation of Actual Evapotranspiration at Regional Annual scale using SWAT

Estimation of Actual Evapotranspiration at Regional Annual scale using SWAT Estimation of Actual Evapotranspiration at Regional Annual scale using SWAT Azizallah Izady Ph.D student of Water Resources Engineering Department of Water Engineering, Faculty of Agriculture, Ferdowsi

More information

Texture Definition: relative proportions of various sizes of individual soil particles USDA classifications Sand: mm Silt:

Texture Definition: relative proportions of various sizes of individual soil particles USDA classifications Sand: mm Silt: Texture Definition: relative proportions of various sizes of individual soil particles USDA classifications Sand: 0.05 2.0 mm Silt: 0.002-0.05 mm Clay:

More information

Event and Continuous Hydrological Modeling with HEC- HMS: A Review Study

Event and Continuous Hydrological Modeling with HEC- HMS: A Review Study Event and Continuous Hydrological Modeling with HEC- HMS: A Review Study Sonu Duhan *, Mohit Kumar # * M.E (Water Resources Engineering) Civil Engineering Student, PEC University Of Technology, Chandigarh,

More information

1. Introduction. Keywords Groundwater, Vulbnerability, Aquifer, Aquitard, Vadose zone. Alsharifa Hind Mohammad

1. Introduction. Keywords Groundwater, Vulbnerability, Aquifer, Aquitard, Vadose zone. Alsharifa Hind Mohammad World Environment 2014, 4(1): 22-32 DOI: 10.5923/j.env.20140401.03 New Groundwater Vulnerability Index for the Main Aquifers in Central Catchment Area in Jordan and Validation of the Results Using NO 3

More information

Climate change and the Ecohydrology of Australia: Future Research Needs

Climate change and the Ecohydrology of Australia: Future Research Needs Climate change and the Ecohydrology of Australia: Future Research Needs Derek Eamus (and 16 others) Institute for Water and Environmental Resource Management (IWERM), UTS The question Modified wording:

More information

Vegetation and Ecological Characteristics of Mixed-Conifer and Red Fir Forests at the Teakettle Experimental Forest

Vegetation and Ecological Characteristics of Mixed-Conifer and Red Fir Forests at the Teakettle Experimental Forest Vegetation and Ecological Characteristics of Mixed-Conifer and Red Fir Forests at the Teakettle Experimental Forest Figure 3 Topographic map showing the location of lightning strikes within and adjacent

More information

Influence of spatial and temporal resolutions in hydrologic models

Influence of spatial and temporal resolutions in hydrologic models Influence of spatial and temporal resolutions in hydrologic models Ingjerd Haddeland (University of Oslo) Dennis P. Lettenmaier (University of Washington) Thomas Skaugen (University of Oslo) Outline Background,

More information

ET-BASED IRRIGATION SCHEDULING

ET-BASED IRRIGATION SCHEDULING Proceedings of the 23rd Annual Central Plains Irrigation Conference, Burlington, CO., February 22-23, 2011 Available from CPIA, 760 N.Thompson, Colby, Kansas ET-BASED IRRIGATION SCHEDULING Allan A. Andales

More information

Objective 1: Manage the demonstration site using common agricultural practices and monitor runoff quantity and quality.

Objective 1: Manage the demonstration site using common agricultural practices and monitor runoff quantity and quality. Appendix B Objectives/Tasks Accomplishments By J. Kjaersgaard, South Dakota State University. Objective 1: Manage the demonstration site using common agricultural practices and monitor runoff quantity

More information

Use of GIS to identify potential sites for small hydroelectric plants: general concepts and example of application

Use of GIS to identify potential sites for small hydroelectric plants: general concepts and example of application Use of GIS to identify potential sites for small hydroelectric plants: general concepts and example of application Joanne Félix Antoine Dubas STUCKY SA STUCKY SA Rue du lac 33 Rue du lac 33 P/O box P/O

More information

Climates and Ecosystems

Climates and Ecosystems Chapter 2, Section World Geography Chapter 2 Climates and Ecosystems Copyright 2003 by Pearson Education, Inc., publishing as Prentice Hall, Upper Saddle River, NJ. All rights reserved. Chapter 2, Section

More information

APPENDIX D EXTINCTION-DEPTH DETERMINATION

APPENDIX D EXTINCTION-DEPTH DETERMINATION APPENDIX D EXTINCTION-DEPTH DETERMINATION by Robert Freese SJRWMD 1 Page Intentionally Blank 2 EXTINCTION-DEPTH DETERMINATION Shah et al. (2007) define extinction depth as the depth to water table at which

More information

8.1 Agricultural Landscapes and Production Methods.

8.1 Agricultural Landscapes and Production Methods. AP Human Geography Kuby: Agricultural Landscapes NAME: HOUR: Agricultural Landscapes and Production Methods DIRECTIONS: Click on the website listed below. Under Computerized Chapter Activities please select

More information

Journal of Hydrology

Journal of Hydrology Journal of Hydrology 4 (211) 133 143 Contents lists available at ScienceDirect Journal of Hydrology journal homepage: www.elsevier.com/locate/jhydrol Long-term water balance and conceptual model of a semi-arid

More information

Outline. Remote Sensing, GIS & DEM for Hydrological Modeling (AV-SWAT) Role of Remote Sensing in Watershed & Water Quality Models

Outline. Remote Sensing, GIS & DEM for Hydrological Modeling (AV-SWAT) Role of Remote Sensing in Watershed & Water Quality Models Remote Sensing, GIS & DEM for Hydrological Modeling (AV-SWAT) Prof. D. Nagesh Kumar Dept. of Civil Engg. Indian Institute of Science Bangalore 6 12 1 Outline Geographic Information System (GIS) Digital

More information

Overview of the Surface Hydrology of Hawai i Watersheds. Ali Fares Associate Professor of Hydrology NREM-CTAHR

Overview of the Surface Hydrology of Hawai i Watersheds. Ali Fares Associate Professor of Hydrology NREM-CTAHR Overview of the Surface Hydrology of Hawai i Watersheds Ali Fares Associate Professor of Hydrology NREM-CTAHR 5/23/2008 Watershed Hydrology Lab 1 What is Hydrology? Hydrology is the water science that

More information

The Fourth Assessment of the Intergovernmental

The Fourth Assessment of the Intergovernmental Hydrologic Characterization of the Koshi Basin and the Impact of Climate Change Luna Bharati, Pabitra Gurung and Priyantha Jayakody Luna Bharati Pabitra Gurung Priyantha Jayakody Abstract: Assessment of

More information

Laser-based Water Level Sensing: Seeing the Unseen

Laser-based Water Level Sensing: Seeing the Unseen Laser-based Water Level Sensing: Seeing the Unseen Joshua Benjamin, Dr. David Kaplan November 6 th, 2017 Background Evapotranspiration (ET) is a critical component of the global water balance ET accounts

More information

July, International SWAT Conference & Workshops

July, International SWAT Conference & Workshops Analysis of the impact of water conservation measures on the hydrological response of a medium-sized watershed July, 212 212 International SWAT Conference & Workshops ANALYSIS OF THE IMPACT OF WATER CONSERVATION

More information

Irrigation Water Management to Sustain Agriculture in the Desert

Irrigation Water Management to Sustain Agriculture in the Desert 300 New Mexico Journal of Science, Vol. 39, Nov. 1999 301 Irrigation Water Management to Sustain Agriculture in the Desert T.W. Sammis and J.G. Mexal 30 Irrigation application requirements of crops and

More information

Hydrology and Water Management. Dr. Mujahid Khan, UET Peshawar

Hydrology and Water Management. Dr. Mujahid Khan, UET Peshawar Hydrology and Water Management Dr. Mujahid Khan, UET Peshawar Course Outline Hydrologic Cycle and its Processes Water Balance Approach Estimation and Analysis of Precipitation Data Infiltration and Runoff

More information

Nantahala Pisgah NF Plan Process - Natural Range of Variation. Gary Kauffman National Forests in NC Ecologist

Nantahala Pisgah NF Plan Process - Natural Range of Variation. Gary Kauffman National Forests in NC Ecologist Nantahala Pisgah NF Plan Process - Natural Range of Variation Gary Kauffman National Forests in NC Ecologist 1 NRV Plan Directives indicate must contain plan components, including standards or guidelines,

More information

Remote Sensing Applications on the Indus Basin. dr. Wim Bastiaanssen The Netherlands

Remote Sensing Applications on the Indus Basin. dr. Wim Bastiaanssen The Netherlands Remote Sensing Applications on the Indus Basin dr. Wim Bastiaanssen The Netherlands Utilization of water resources River Basin Management Precipitation Consumptive Use Agriculture Irrigation Rainfed Other

More information

Monitoring soil moisture helps refine irrigation management

Monitoring soil moisture helps refine irrigation management Enviroscan soil moisture sensors like the one shown, that monitor on a continuous basis, provide more information that can be valuable. Monitoring soil moisture helps refine irrigation management Blaine

More information

Appendix D. Flood Study Report

Appendix D. Flood Study Report Appendix D Flood Study Report New Hope Coal Horse Creek Base Case (Natural Conditions) and Diversion Flood Study for Elimatta Mine 28 March 2014 Contents Page number 1. Introduction 1 1.1 Background 1

More information

Addressing Weather-Related Challenges at the Galore Creek Project, Northwestern British Columbia

Addressing Weather-Related Challenges at the Galore Creek Project, Northwestern British Columbia A Climate Adaptation Case Study in Canada s Mining Sector Addressing Weather-Related Challenges at the Galore Creek Project, Northwestern British Columbia 1 Introduction From long-range planning to day-to-day

More information

Simple toolbox for worldwide topography based soils reclassification for initialization of SWAT

Simple toolbox for worldwide topography based soils reclassification for initialization of SWAT Simple toolbox for worldwide topography based soils reclassification for initialization of SWAT Daniel R. Fuka, Charlotte MacAlister, Solomon Seyoum, Todd Walter, Zachary Easton Cornell University IWMI

More information

Ramos MC, Martínez-Casasnovas JA & Balasch JC

Ramos MC, Martínez-Casasnovas JA & Balasch JC Runoff and soil loss prediction in a vineyard area at very detail scale using SWAT: comparison between dry and wet years Runoff and soil loss prediction in a vineyard area at very detailed scale Ramos

More information

Utilization of the SWAT Model and Remote Sensing to Demonstrate the Effects of Shrub Encroachment on a Small Watershed

Utilization of the SWAT Model and Remote Sensing to Demonstrate the Effects of Shrub Encroachment on a Small Watershed Utilization of the SWAT Model and Remote Sensing to Demonstrate the Effects of Shrub Encroachment on a Small Watershed Jason Afinowicz Department of Biological and Agricultural Engineering Texas A&M University

More information

Program. Understanding Risk. Northern Fire Mapping: Developing robust fire extent and severity mapping products for the tropical savannas

Program. Understanding Risk. Northern Fire Mapping: Developing robust fire extent and severity mapping products for the tropical savannas Program Project Title Project Leaders Lead End User Researcher Understanding Risk Northern Fire Mapping: Developing robust fire extent and severity mapping products for the tropical savannas Prof. Jeremy

More information

Issues include coverage gaps, delays, measurement continuity and consistency, data format and QC, political restrictions

Issues include coverage gaps, delays, measurement continuity and consistency, data format and QC, political restrictions Satellite-based Estimates of Groundwater Depletion, Ph.D. Chief, Hydrological Sciences Laboratory NASA Goddard Space Flight Center Greenbelt, MD Groundwater Monitoring Inadequacy of Surface Observations

More information

Advice to decision maker on coal mining project

Advice to decision maker on coal mining project . Advice to decision maker on coal mining project IESC 2015-063: West Muswellbrook Project New Development Requesting agency The New South Wales Mining and Petroleum Gateway Panel Date of request 27 January

More information