Inside of forest (for example) Research Flow

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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 Linkage of river basin environment and lake biodiversity / ecosystem Rapid aging of the population resulting from the decline in the birthrate Rough management in agriculture and forest Impact / damage to economic activities, water environment and biodiversity Inside of forest (for example) Rough management Flow and SS Research Flow Water temperature Habitat environment Strategies Development Start Nutrient salts (N, P) Agricultural activities 2005.8.30 2005.7.28 Flow and lake salinity Corbicula japonica Prime Impact assessments Biodiversity Economic activities Multiplier Effects About Lake Shinji: Why important? 1. Brackish lake: Delicate balance of saline and fresh water 2. Salinity level: 1/10 of sea water 3. Average water depth: 4.5m 4. The third largest brackish lake in Japan (79.1km 2 ) 5. 80 species of brackish water fish and shellfish 6. Annual catch of the clam is about 7,000t (4 of National total) 7. Sales amount of the clam is about 40 million dollars in the lake Size: 2cm Impact of climate change on the Hii River basin and salinity in Lake Shinji Size: 5cm http://www2.odn.ne.jp/shokuzai/shijimi.htm Corbicula japonica Prime,1864 http://fishing-forum.org/zukan/mashtml/m000712_1.htm Gymnogobius taranetzi,1878 1

Otsu Hii River Basin About 920km 2 L. Shinji L. Nakaumi SS Flow Meteorological gage Impact of climate change in the basin 15 10 5 P+2 T+1C (S) P+2 T+2C (S) P+2 T+3C (S) P+2 T+1C (ET) P+2 T+2C (ET) P+2 T+3C (ET) P+2 T+1C (D) P+2 T+2C (D) P+2 T+3C (D) ET Flow Forest: about 8 Paddy field: about 1 Location of the Study Area -5-10 Snow Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Relationship between salinity in Lake Shinji and monthly discharge at Otsu Relative variations of salinity in Lake Shinji 6 4 2 P+2 T+1C P+2 T+2C P+2 T+3C P: Precipitation T: Temperature -4-23% -22% Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Diluted (For example) Influence of lake salinity dilution against Corbicula japonica Prime For adults of the clam: Dilution under scenario conditions is not lethal For eggs and larva of the clam: Dilution during summer season may be critical and affect alternation of generations of the clam Impact of climate change on the SS load discharge from the Hii River Basin The reproduction of the clam may be reduced by precipitation increase in the future (From a view point of only salinity variation) 2

Accumulation of SS on the Hii river bed Efficient use of sediment Decomposed granite soil Temporal dike by a bulldozer for irrigation water intake Monthly variations of SS by scenarios Temperature variations did not have a significant effect, but precipitation have 8 6 4 6 4 2 Difference of SS load discharge by scenarios 39.6% 37.9% 40.2% 17. 15.9% 18.7% 2-2.2% -3.1% -1.6% -4 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec P+20T+3 P+20T+2 P+20T+1 P+10T+3 P+10T+2 P+10T+1 T+3 T+2 T+1 P+20T+3 P+20T+2 P+20T+1 P+10T+3 P+10T+2 P+10T+1 T+3 T+2 T+1 About 4 increase by precipitation increase 2 Conclusions At present L. Shinji L. Nakaumi 1. Impacts of river hydrology on downstream lake salinity can be an important factor for benthic animals within the lake such as Gobies and Corbicula japonica Prime. 2. These species may also be affected by changes in nutrient input patterns from the river basin. Precipitation 2 and Temperature 3 ºC increases 3

What is the SWAT model? SWAT: Soil and Water Assessment Tool Texas A&M University - Dr. Srinivasan USDA-Agricultural Research Service Dr. Jeff A river, basin, or watershed scale model Feature of the SWAT model 1. It is relatively easy to collect almost data sets 2. The model is a long-term yield model 3. Open source code 4. Both of point source and non-point source can be considered in a simulation 5. The model is not designed to simulate detailed, single-event flood routing etc. Overview of SWAT model Land Phase of the hydrologic cycle Simulation of the hydrology of a watershed can be separated into two major divisions. The land phase of the hydrologic cycle The water or routing phase of the hydrologic cycle The hydrologic cycle as simulated by SWAT is based on the water balance equation SW t SW t 0 ( Rday Qsurf Ea Wseep Qgw) i 1 SW t : final soil water content (mm) Reference : Neitch, 2001 Reference : Neitch, 2001 Schematic representation of the hydrologic cycle Schematic of pathway available for water movement Reference : Neitch, 2001 Reference: Neitch, 2001 4

Surface Runoff SWAT model provides two methods for estimating surface runoff SCS Curve Number Method (1972) The SCS runoff equation is an empirical model. The SCS curve number is a function of soil s permeability, land use, and antecedent soil water conditions Green & Ampt Infiltration Method (1911) The equation was developed to predict infiltration assuming excess water at the surface at all time. It requires precipitation data in small time increments Potential Evapotranspiration SWAT model offers three options for estimating potential evapotranspiration 1. Penman-Monteith Method 2. Priestley-Taylor Method 3. Hargreaves Method The three PET methods vary in the amount of required inputs Decision of PET method Penman-Monteith: Solar radiation, air temperature, relative humidity, and wind speed Priestley-Taylor: Solar radiation, air temperature, and humidity Hargreaves: temperature only Land cover / Plant growth SWAT utilizes a single plant growth model to simulate all types of land covers The plant growth model is used to assess removal of water and nutrients from the root zone, transpiration, and biomass/ yield production Erosion Erosion and sediment yield are estimated for each hydrologic response unit (HRU) with the Modified Universal Soil Loss Equation (MUSLE) Nutrients: Nitrogen SWAT tracks the movement and transformation of several forms of nitrogen and phosphorus in the watershed MUSLE: amount of runoff as an indicator of erosive energy USLE: rainfall as an indicator of erosive energy reference Neitch, 2001 5

Nutrients: Phosphorus Routing Phase of the Hydrologic cycle reference Neitch, 2001 reference Neitch, 2001 Summary of Input data for SWAT Minimum Precipitation Temperature Solar radiation Discharge Digital Elevation model GIS Land use data GIS soil type data Another data Time series data GIS data Agricultural management data, water quality data etc Procedure for calculation in the SWAT model Watershed delineation and HRUs Input of Observed data DEM Watershed delineation Land Use Weather data Precipitation Temperature Humidity Wind speed Solar radiation Another data Agricultural activities Fertilizer Management Soil Type SWAT simulation Grouping: Hydrologic Response Unit (HRU) Results 6

Thank you very much for your attention! 7