A Hydrologic Modeling Assessment of Haiti. by: Joshua Johnson 5/27/09
|
|
- Rudolph Arnold
- 6 years ago
- Views:
Transcription
1 A Hydrologic Modeling Assessment of Haiti by: Joshua Johnson 5/27/09
2 A. Research Description, Results, and Conclusions 1. Introduction According to the 2005 United Nations Human Poverty Index, Haiti ranks 70 out of the 103 least developed countries in the world (1). It is also the poorest country in the Western Hemisphere according to the CIA World Fact-Book (2). Haiti has been hampered by political strife for most of its history, and in more recent times has been inundated by multiple tropical storms. Environmental degradation by human activity in the form of mass deforestation (only 3% of original forests remain) has resulted in periodic flooding in many regions. It has also eroded away arable soils that were once used for farm land. These combined social, environmental and economic conditions have created a variety of difficulties for the Haitian people. If reforms were made regarding these issues it potentially could benefit the country as a whole. This report builds upon research completed by Fredline Ilorme that dealt with the use of remote sensing and GIS to quantify flood risk in the data poor region of Gonaives, Haiti (3). Haiti itself often is inundated by hurricanes and tropical storms. Flooding from these storms often drastically affects the Haitian population and countryside. This flooding has been made worse by the continued deforestation of the Haitian landscape, but it is not clear to what extent. This report takes steps toward better understanding that relationship. 2. Objectives The objectives of this research project were to contribute to the HEC-HMS hydrologic model developed by Fredline. This contribution was in the form of improved rainfall-runoff relationships ( runoff curve numbers ), based on historical forestation and land use practices for the Gonaives watershed. A better understanding of the socio-environ-economic conditions that have shaped modern day Haiti also developed from these efforts. A secondary objective of this project was to experience and document the reciprocal mentoring activities that were first described in the S-STEM program requirements. Over the course of this project, the research objectives slowly changed. Initially the project objectives were to develop a new hydrologic model for the Gonaives watershed and complete flood risk and vulnerability assessments based on the Haitian population. As the work progressed, however, it became evident that these goals
3 were not very realistic. This is explained in further detail in the mentoring mechanisms section of this paper. 3. Methods To determine forestation in the Gonaives watershed over time, two different maps were used. The first map was from 1970 and was acquired from the University of Texas Libraries (see Figure 1). The second, somewhat higher resolution map was acquired from the World Food Program website (see Figure 2). Additional maps were desired, but obtaining quality data proved more difficult than initially expected. Haiti is considered to be data poor and these maps were the best available that were freely available. Figure 1: Haiti 1970 Land Usage Map (5)
4 Figure 2: Haiti 2004 Land Usage Map (6) Each of these maps was then input into ArcGIS, and Geo-Referenced with the GIS shapefile and HEC-HMS watershed model developed by Fredline Ilorme. This model provided the shape and area as well as other physical characteristics of each of the four sub-basins in the Gonaives watershed modeled by Ilorme (see Figure 3).
5 Figure 3: HEC-HMS Sub-basin Model (3) An example of the 2004 land usage map Geo-Referenced with the sub-basin model can be seen in Figure 4 below. To accomplish this, the watershed and sub-basin lines were converted to polygons using the polygon tool in ArcGIS. Once this was completed, each subbasin area and land use composition was determined using the area calculation tool in ArcGIS (see Figure 5). The resulting land use composition and area calculations were then used to determine a Curve Number (CN) for each sub-basin. Curve Number estimation was based on comparison of land use categories and soil types to those in Table 8.3 in Water Resources Engineering by Ralph Wurbs and Wesley James (2002) (4). Note this reference provided CN values for soil condition II only. Estimate of CN values for soil condition III can be estimated using the following equation: CN(III) = [23*CN(II)] / [ *CN(II)] Soil condition III was characterized by heavy rainfall or light rainfall with low temperatures having occurred within the last 5 days, thus saturating the soil. This was assumed to represent conditions during a hurricane. Also, the NRCS soil classification of group B was selected. This soil group was characterized by moderate infiltration rates and consists primarily
6 of moderately fine to moderately coarse textured soils such as loess and sandy loam (4). This was the same soil classification selected in Ilorme s report. Figure 4: 2004 Land Usage Map overlaid with Gonaives Sub-basins Figure 5: Sub-basin area and land use compositional area example
7 4. Results and Discussion Tables of the land usage and area calculations for each sub-basin can be seen below. G1-R, G1-L, G0-L and GG are the designations of each of the sub-basins. Please note that all area calculations in Table 1 are in square kilometers. Table 1 shows the total area of each subbasin and its composition. For example, in 1970, sub-basin G1-R covered a total area of 127 square kilometers, and of that area 16.9 square kilometers was forested land. The difference between the watershed approximate area, calculated as the summation of the compositional areas in each sub-basin, and the watershed area determined as a whole provides an indication of the inaccuracies of determining the sub-basin compositional areas following the stated procedure in ArcGIS. Table 1: Area and Composition of Each Sub-Basin Table 2: Area and Composition by Percent of Each Sub-Basin Substantial reductions of forested area occurred from 1970 to 2004, especially in the G1- R and GG sub-basins. Substantial increases in croplands and savanna followed this decrease in forested areas, as illustrated in Table 2. The CN values for each land usage were as follows (4): Forest = 60; Scrub (some forest) = 56; Savanna (some pasture) = 79; Cropland = 74; Cropland
8 (some forest, pasture, scrub) = 62; Herbaceous (scrub) = 56; Cultivated (cropland); and Regularly Flooded Shrub or Herbaceous Cover = 56; Since the two maps used did not have identical land usage classification, some assumptions had to be made based on the definition of each land usage type. For example, herbaceous was considered to be the same or at least very similar to scrub. This seemed like a valid assumption because the natural vegetative environment was not likely to change substantially over the 34-year time frame under normal geological process. The only things that would change the land cover drastically were events such as wildfires and flooding, or human activities such as agriculture. Using these values, the weighted CN values were calculated for each sub-basin (see Table 3). Table 3: Weighted CN for each sub-basin based on land usage G1-R 64 G1-R 67 G1-L 61 G1-L 70 G0-L 64 G0-L 66 GG 63 GG 56 Next, the overall CN values were calculated for all the combined sub-basins based on the weighted area of each (see Table 4). Finally, these composite CN(II) values for 1970 and 2004 were input into the equation for CN(III), thus yielding the results in Table 5. These results are similar to the CN calculated by Ilorme of 79. As higher CN values correspond to more runoff, this is an indication that flood risk increased slightly in the Gonaives watershed from 1970 to 2004.
9 Table 4: CN for overall Gonaives watershed based on weighted area of each sub-basin. Table 5: Final Watershed CN values. 5. Conclusions Runoff Curve Numbers estimated in this study were comparable to the value approximated in an earlier study by Ilorme. The change in curve number from 80 in 1970 to 82 in 2004 suggests that the soils in the Gonaives watershed have become less able to retain water, and that flood risk has increased. Based on the land usage maps and changes in land use practices over the years, deforestation is likely to be, at least in part, responsible for these changes. Due to the relatively coarse resolution of the land use maps, it is difficult to estimate the true extent of deforestation, however, and significant uncertainty remains. If funds are available, higher resolution maps and areal photos should be obtained. It is perhaps surprising that Runoff Curve Numbers increased only slightly from 1970 to 2004, but this result may be due to inaccuracies in the maps, or else the Gonaives watershed was already converted to cultivated land, pasture, and scrub land by 1970.
10 6. Outcomes This work is provides a contribution to understanding of the watershed characteristics and land usage practices over time, and Runoff Curve Number approximation for the Gonaives watershed. These results will augment the MS report by Fredline Ilorme and provide the basis for future flood risk assessments. C. References F. Ilorme (2007). Flood Risk Assessment In Haiti Using Remote Sensing and Geographic Information Systems. Web site: 4. Author, Water Resources Engineering, Prentice-Hall of India, New Delhi, (image) 6. (image)
WMS Tools For Computing Hydrologic Modeling Parameters
WMS Tools For Computing Hydrologic Modeling Parameters Lesson 9 9-1 Objectives Use the drainage coverage as a basis for geometric parameters as well as overlaying coverages to compute important hydrologic
More informationHydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) Sunil KUMAR Director, National Water Academy
Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) Sunil KUMAR Director, National Water Academy 22 April 2015 NWA, Pune Exercise Objective: To determine hydrological Response of the given
More informationAppendix C Little Calumet River Watershed Curve Number Calculation
Little Calumet River Watershed Curve Number Calculation Introduction SCS hydrology uses the empirical curve number (CN) parameter as a part of calculating runoff volumes based on landscape characteristics
More informationSURFACE RUNOFF ESTIMATION BY SCS CURVE NUMBER METHOD USING GIS FOR RUPEN-KHAN WATERSHED, MEHSANA DISTRICT, GUJARAT
J. Indian Water Resour. Soc., Vol. 36, No. 4, Oct., 2016 SURFACE RUNOFF ESTIMATION BY SCS CURVE NUMBER METHOD USING GIS FOR RUPEN-KHAN WATERSHED, MEHSANA DISTRICT, GUJARAT Dhvani Tailor 1 and Narendra
More informationChapter 2: Conditions in the Spring Lake Watershed related to Stormwater Pollution
Chapter 2: Conditions in the Spring Lake Watershed related to Stormwater Pollution To identify the primary causes and consequences of stormwater discharges to Spring Lake and its adjoining waterbodies,
More informationEstimation of runoff for agricultural watershed using SCS Curve Number and Geographic Information System
Estimation of runoff for agricultural watershed using SCS Curve Number and Geographic Information System Ashish Pandey 1,V.M.Chowdary 2, B.C.Mal 3 and P.P.Dabral 1 ABSTRACT Soil Conservation Service (SCS)
More informationRUNOFF CALCULATIONS RATIONAL METHOD. To estimate the magnitude of a flood peak the following alternative methods are available:
RUNOFF CALCULATIONS To estimate the magnitude of a flood peak the following alternative methods are available: 1. Unit-hydrograph technique 2. Empirical method 3. Semi-Empirical method (such rational method).
More informationNarasayya Kamuju Central Water and Power Research Station, Pune, Maharashtra, India
2015 IJSRST Volume 1 Issue 5 Print ISSN: 2395-6011 Online ISSN: 2395-602X Themed Section: Science and Technology Sensitivity of Initial Abstraction Coefficient on Prediction of Rainfall- Runoff for Various
More informationAPPENDIX 4 ARROYO MODELING
APPENDIX 4 ARROYO MODELING The existing HEC-HMS model can serve as a baseline for further development and analysis of major arroyos in the city. The model would need to be updated and expanded to consider
More informationModeling the Hydrologic Impacts of Control Structures Utilizing LiDAR, ICPR, and GIS Technologies
Modeling the Hydrologic Impacts of Control Structures Utilizing LiDAR, ICPR, and GIS Technologies Keanan Bell NorthStar June 12, 2015 Project began in 2010 as a Hydrology Assessment and Conceptual Restoration
More informationWhat is runoff? Runoff. Runoff is often defined as the portion of rainfall, that runs over and under the soil surface toward the stream
What is runoff? Runoff Runoff is often defined as the portion of rainfall, that runs over and under the soil surface toward the stream 1 COMPONENTS OF Runoff or STREAM FLOW 2 Cont. The types of runoff
More informationEstimation of Infiltration Parameter for Tehri Garhwal Catchment
Estimation of Infiltration Parameter for Tehri Garhwal Catchment Ashish Bhatt 1 H L Yadav 2 Dilip Kumar 3 1 UG Student, Department of civil engineering, G B Pant Engineering College, Pauri, UK-246194 2,3
More informationA Comprehensive Review of Runoff Estimation by the Curve Number Method
A Comprehensive Review of Runoff Estimation by the Curve Number Method Ankit Balvanshi 1, H.L. Tiwari 2 P.G. Student, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal,
More informationEvaluation of Empirical and Nomograph Method of Predicting Erodibility Index for Selected Savannah Soils.
Evaluation of Empirical and Nomograph Method of Predicting Erodibility Index for Selected Savannah Soils. A.I. Arab, M.Sc. 1* ; Prof. S.Z. Abubakar 1 ; and U.D. Idris, M.Sc. 2 1 National Agricultural Extension
More informationORDINANCE APPENDIX C RUNOFF COEFFICIENTS AND CURVE NUMBERS
ORDINANCE APPENDIX C RUNOFF COEFFICIENTS AND CURVE NUMBERS TABLE C-1. RUNOFF CURVE NUMBERS Source: Table 2-2a, Table 2-2b, and Table 2-2c from U. S. Department of Agriculture, Natural Resources Conservation
More informationEast Baton Rouge Parish Micro-Watershed Characterization
26 th Annual Louisiana Remote Sensing and GIS Workshop José E. Villalobos-Enciso Warren L. Kron, Jr. April 28, 2010 Presentation Outline Objectives Warren Kron Data Warren Kron Concept José Villalobos
More informationPonds Planning, Design, Construction
United States Department of Agriculture Natural Resources Conservation Service Ponds Planning, Design, Construction Agriculture Handbook Number 590 Estimating storm runoff The amount of precipitation,
More informationRunoff Volume: The Importance of Land Cover
Runoff Volume: The Importance of Land Cover Grade Level: 9-12 Time: 1-2 class periods Learning Objectives: - Quantify the volume of water that runs off different land uses in a watershed. - Analyze the
More informationRunoff and soil loss. (Quantification and modeling of watershed discharge and sediment yield) Kassa Tadele (Dr.Ing) Arba Minch University
Runoff and soil loss (Quantification and modeling of watershed discharge and sediment yield) Kassa Tadele (Dr.Ing) Arba Minch University Part I. Runoff Contents 1. Fundamental Concepts 2. Generation of
More informationNames: ESS 315. Lab #6, Floods and Runoff Part I Flood frequency
Names: ESS 315 Lab #6, Floods and Runoff Part I Flood frequency A flood is any relatively high flow of water over land that is not normally under water. Floods occur at streams and rivers but can also
More informationSustainable STEM Series
W 338-C Sustainable STEM Series Science, Technology, Engineering and Mathematics for a Sustainable Future All over the media are reports that the United States is falling behind other countries in the
More informationINTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 4, No 3, 2014
INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 4, No 3, 2014 Copyright by the authors - Licensee IPA- Under Creative Commons license 3.0 Research article ISSN 0976 4380 Analysis of surface runoff
More information0.0. Pervious CN = 40. (Unconnected impervious) (Total impervious) Total impervious area (percent) Composite CN
Figure 2-3 Composite CN with connected impervious area. 100 Composite CN 90 80 70 60 Pervious CN = 90 80 70 60 50 40 50 40 0 10 20 30 40 50 60 70 80 90 100 Connected impervious area (percent) Figure 2-4
More informationCalculating a Pollution Potential Index for Storm Water Runoff at the Watershed Scale Ranking watersheds for potential non-point pollution
Calculating a Pollution Potential Index for Storm Water Runoff at the Watershed Scale Ranking watersheds for potential non-point pollution Philip Dougherty GISC 6387 7-27-2006 Introduction Non-point source
More informationNorth Appalachian Expermental Watershed
WatershedWiki Hydrology-(CEE-434/534) North Appalachian Expermental Watershed Sagar Gautam 1 Table of Content Abstract Introduction Description of the study area Method/Procedures Approach Results Disscussion
More informationRAINFALL - 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 informationPrecipitation Surface Cover Topography Soil Properties
Precipitation Surface Cover Topography Soil Properties Intrinsic capacity of rainfall to cause erosion Influenced by Amount, intensity, terminal velocity, drop size and drop size distribution of rain.
More informationEstimation of Hydrological Outputs using HEC-HMS and GIS
Nigerian Journal of Environmental Sciences and Technology (NIJEST) www.nijest.com ISSN (Print): 2616-051X ISSN (electronic): 2616-0501 Vol 1, No. 2 July 2017, pp 390-402 Estimation of Hydrological Outputs
More informationChapter 4 "Hydrology"
Chapter 4 "Hydrology" Revised TxDOT Hydraulics Manual Jorge A. Millan, P.E., CFM TxDOT Design Division/Hydraulics 2012 Transportation Short Course October 17, 2012 Chapter 4 Sections 1 Hydrology s Role
More informationINTERNATIONAL JOURNAL OF CIVIL ENGINEERING AND TECHNOLOGY (IJCIET)
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING AND TECHNOLOGY (IJCIET) International Journal of Civil Engineering and Technology (IJCIET), ISSN 0976 6308 ISSN 0976 6308 (Print) ISSN 0976 6316(Online) Volume
More informationSurface Runoff Estimation using Remote Sensing & GIS based Curve Number Method Ishtiyaq Ahmad, Dr. M. K. Verma
Surface Runoff Estimation using Remote Sensing & GIS based Curve Number Method Ishtiyaq Ahmad, Dr. M. K. Verma Department of Civil Engineering, National Institute of Technology, Raipur, India Abstract
More informationIJSER. within the watershed during a specific period. It is constructed
International Journal of Scientific & Engineering Research, Volume 5, Issue 7, July-014 ISSN 9-5518 306 within the watershed during a specific period. It is constructed I. INTRODUCTION In many instances,
More informationDouglas County 2008 PFIS Appeal, 2010 Effective FIS Restudies ( ), and Alpine View Estates Flood Study
Douglas County 2008 PFIS Appeal, 2010 Effective FIS Restudies (2010-2015), and Alpine View Estates Flood Study Douglas County 2008 PFIS Appeal, and 2010 Effective FIS Re- Studies (2010-2015) (Prior to
More informationRAINFALL RUNOFF ESTIMATION USING SCS MODEL AND ARC GIS FOR MICRO WATERSHED IN CUDDALORE DISTRICT
International Journal of Civil Engineering and Technology (IJCIET) Volume 9, Issue 9, September 2018, pp. 990 996, Article ID: IJCIET_09_09_095 Available online at http://www.iaeme.com/ijciet/issues.asp?jtype=ijciet&vtype=9&itype=9
More informationSimulations of the Effect of Deforestation on Surface Water Runoff and Flooding in the Swift River Watershed.
Simulations of the Effect of Deforestation on Surface Water Runoff and Flooding in the Swift River Watershed. INTRODUCTION Background Intense rainfall associated with Tropical Storm/Hurricane Michelle
More informationHYDROLOGICAL MODELING OF AN AGRICULTURAL WATERSHED USING HEC-HMS HYDROLOGICAL MODEL, REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM
HYDROLOGICAL MODELING OF AN AGRICULTURAL WATERSHED USING HEC-HMS HYDROLOGICAL MODEL, REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEM Niravkumar K. Pampaniya 1, Mukesh K. Tiwari 2, M. L. Gaur 3 1 M.Tech.
More informationLAKE COUNTY HYDROLOGY DESIGN STANDARDS
LAKE COUNTY HYDROLOGY DESIGN STANDARDS Lake County Department of Public Works Water Resources Division 255 N. Forbes Street Lakeport, CA 95453 (707)263-2341 Adopted June 22, 1999 These Standards provide
More informationInternational Journal of Advance Engineering and Research Development. Application of SCS-CN Method forestimation of Runoff Using GIS
Scientific Journal of Impact Factor (SJIF): 4.72 International Journal of Advance Engineering and Research Development Volume 4, Issue 4, April -2017 e-issn (O): 2348-4470 p-issn (P): 2348-6406 Application
More informationIntegrating HEC HMS generated flow hydrographs with FLO-2D. Nanda Meduri, PE, PMP, CFM Seth Lawler Venkata Dinakar Nimmala, CFM
Integrating HEC HMS generated flow hydrographs with FLO-2D Nanda Meduri, PE, PMP, CFM Seth Lawler Venkata Dinakar Nimmala, CFM Focus of this Presentation Introduction Methodology Challenges & Solutions
More informationBMP Design Aids. w w w. t r a n s p o r t a t i o n. o h i o. g o v. Equations / Programs
BMP Design Aids 1 Equations / Programs Outlet Discharge Equations Hydrograph and Pond Routing Programs USGS StreamStats 2 Ohio Department of Transportation 1 Training Intent Introduction and overview of
More informationA Hydrologic Study of the. Ryerson Creek Watershed
A Hydrologic Study of the Ryerson Creek Watershed Dave Fongers Hydrologic Studies Unit Land and Water Management Division Michigan Department of Environmental Quality May 8, 2002 Table of Contents Summary...2
More informationCGIAR Research Program on Water, Land and Ecosystems: Use of remote sensing and GIS tools in the irrigation commands to assist planning and management
CGIAR Research Program on Water, Land and Ecosystems: Use of remote sensing and GIS tools in the irrigation commands to assist planning and management Summary Remote sensing (RS) and geographic information
More informationFlood Modelling and Water Harvesting Plan for Paravanar Basin
International Journal of ChemTech Research CODEN (USA): IJCRGG, ISSN: 0974-4290, ISSN(Online):2455-9555 Vol.10 No.14, pp 01-08, 2017 Flood Modelling and Water Harvesting Plan for Paravanar Basin Dhinesh
More informationRelationship to E Flows
Relationship to E Flows Riparian Areas Influences groundwater/surface water relationships Provides filters to improve water quality Provides habitat for diverse flora and fauna Relationship to E Flows
More informationComputation of excess stormflow at the basin scale. Prof. Pierluigi Claps. Dept. DIATI, Politecnico di Torino
Computation of excess stormflow at the basin scale Prof. Pierluigi Claps Dept. DIATI, Politecnico di Torino Pierluigi.claps@polito.it losses include: interception, evapotranspiration, storage infiltration,
More informationRunoff Processes. Daene C. McKinney
CE 374 K Hydrology Runoff Processes Daene C. McKinney Watershed Watershed Area draining to a stream Streamflow generated by water entering surface channels Affected by Physical, vegetative, and climatic
More informationANALYSIS ON CURVE NUMBER, LAND USE AND LAND COVER CHANGES IN THE JOBARU RIVER BASIN, JAPAN
ANALYSIS ON CURVE NUMBER, LAND USE AND LAND COVER CHANGES IN THE JOBARU RIVER BASIN, JAPAN Jeffry Swingly Frans Sumarauw 1, 2 and Koichiro Ohgushi 1 1 Department of Civil Engineering and Architecture,
More informationHydrologic Study Report for Single Lot Detention Basin Analysis
Hydrologic Study Report for Single Lot Detention Basin Analysis Prepared for: City of Vista, California August 18, 2006 Tory R. Walker, R.C.E. 45005 President W.O. 116-01 01/23/2007 Table of Contents Page
More information1 Introduction 1.1 HYDROLOGIC MODELS
1 Introduction Adequate scientific evidence (e.g., IPCC, 2007) exists now to show that the global climate is changing. The three prominent signals of climate change, namely, increase in global average
More informationBench terraces on loess soil China - 土坎梯田, 梯地
Bench terraces on loess soil China - 土坎梯田, 梯地 A Terrace is a structural SLM practice with a raised flat platform built on the slope to reduce soil loss and runoff on the slope, increase the rainfall infiltration
More informationCALCASIEU PARISH ENGLISH BAYOU BASIN STORMWATER MASTER PLAN. NTB Associates, Inc. Solving Tomorrow's Problems Today...
CALCASIEU PARISH ENGLISH BAYOU BASIN STORMWATER MASTER PLAN Prepared by: Solving Tomorrow's Problems Today... PROJECT TEAM Calcasieu Parish Division of Engineering & Public Works URS Corporation Prime
More informationSECTION III: WATERSHED TECHNICAL ANALYSIS
Trout Creek Watershed Stormwater Management Plan SECTION III: WATERSHED TECHNICAL ANALYSIS A. Watershed Modeling An initial step this study of the Trout Creek watershed was the selection of a stormwater
More informationAssessing the impacts of two stand-replacing wildfires on canopy cover and soil conditions in Bastrop County, TX
Assessing the impacts of two stand-replacing wildfires on canopy cover and soil conditions in Bastrop County, TX Sol Cooperdock GEO386G Final Project Purpose and Introduction: In the falls of 2011 and
More informationCHANGES ON FLOOD CHARACTERISTICS DUE TO LAND USE CHANGES IN A RIVER BASIN
U.S.- Italy Research Workshop on the Hydrometeorology, Impacts, and Management of Extreme Floods Perugia (Italy), November 1995 CHANGES ON FLOOD CHARACTERISTICS DUE TO LAND USE CHANGES IN A RIVER BASIN
More informationAssessing Multiple Functions of Missouri s Bottomlands: Laying the Groundwork For Wetland Conservation
Assessing Multiple Functions of Missouri s Bottomlands: Laying the Groundwork For Wetland Conservation Frank Nelson (MDC), Dave Diamond (MoRAP), Doreen Mengel (MDC), Andy Raedeke (MDC), Project currently
More informationDeep River-Portage Burns Waterway Watershed 2015
2.4 Soils Soil development is the product of the interaction of parent material, topography, climate, organisms and time. Understanding the types of soils that exist within a watershed and their characteristics
More informationExamination of PRZM5.0 Storm Rainfall Depth and Distribution Algorithms Compared to Current U.S. Storm Trends
Examination of PRZM5.0 Storm Rainfall Depth and Distribution Algorithms Compared to Current U.S. Storm Trends August 24, 2016 Tammara L. Estes (Stone Environmental Inc.) Kevin L. Armbrust, Ph.D. (Louisiana
More informationEffective Impervious Area Lake Minnetonka
1 Effective Impervious Area Lake Minnetonka Final Report Prepared by: Sarah Fitch Ryan Navis Sam Trebesch Stephen Borden Zeinab Takbiri University of Minnesota Civil Engineering Course: CE 5511 Spring
More informationImpact of Temporal Variation in Land Use on Surface Run Off: A Case Study of Cochin City, Kerala, India
Cloud Publications International Journal of Advanced Earth Science and Engineering 2015, Volume 4, Issue 1, pp. 265-274, Article ID Sci-239 ISSN: 2320 3609 Case Study Open Access Impact of Temporal Variation
More informationEstimating the 100-year Peak Flow for Ungagged Middle Creek Watershed in Northern California, USA
American Journal of Water Resources, 2014, Vol. 2, No. 4, 99-105 Available online at http://pubs.sciepub.com/ajwr/2/4/3 Science and Education Publishing DOI:10.12691/ajwr-2-4-3 Estimating the 100-year
More informationThe Impacts of Oil and Natural Gas Activities on ALR Land in the Peace River Valley of Northern British Columbia Katie Eistetter 2015
The Impacts of Oil and Natural Gas Activities on ALR Land in the Peace River Valley of Northern British Columbia Katie Eistetter 2015 Introduction, Background and Study Area British Columbia has one of
More information1 n. Flow direction Raster DEM. Spatial analyst slope DEM (%) slope DEM / 100 (actual slope) Flow accumulation
1 v= R S n 2/3 1/2 DEM Flow direction Raster Spatial analyst slope DEM (%) Flow accumulation slope DEM / 100 (actual slope) 0 = no cell contributing 215 = 215 cell contributing towards that cell sqrt (actual
More informationEffect of Land Surface on Runoff Generation
Effect of Land Surface on Runoff Generation Context: Hydrologic Cycle Runoff vs Infiltration Infiltration: Process by which water on the ground surface enters the soil Runoff: Water (from rain, snowmelt,
More information4.1 General Methodology and Data Base Development
Chapter 4 METHODOLOGY 4.1 General and Data Base Development This report project utilized several computer software models and analysis techniques to create the numeric data on which decisions for this
More informationEXPLORING THE RELATIONSHIP BETWEEN FRESHWATER WETLAND RESTORATION AND FLOOD MITIGATION
EXPLORING THE RELATIONSHIP BETWEEN FRESHWATER WETLAND RESTORATION AND FLOOD MITIGATION Kristen Hychka 1, Lisa Wainger 1, Elizabeth Murray 2, and Taylor Hollady 1 1 University of Maryland Center for Environmental
More informationHydrologic Engineering Center. Training Course on. Hydrologic Modeling with HEC-HMS. Davis, CA. Course Description
Hydrologic Engineering Center Training Course on Hydrologic Modeling with HEC-HMS Davis, CA Course Description The course provides an introduction to HEC-HMS for new users, focusing both on using the program
More informationFlood Modelling For Peri Urban Areas in Adyar River
Flood Modelling For Peri Urban Areas in Adyar River Saranya VP 1 Assistant Professor, Department of Civil Engineering, Bannari Amman Institute of Technology, Erode, India 1 ABSTRACT: Water is essential
More informationHydrologic Engineering Center. Training Course on. Hydrologic Modeling with HEC-HMS April 2018 Davis, CA. Course Description
Hydrologic Engineering Center Training Course on Hydrologic Modeling with HEC-HMS 23-27 April 2018 Davis, CA Course Description The course provides an introduction to HEC-HMS for new users, focusing both
More informationStormwater, Climate Change, and Michigan: Part II. Alan Steinman Director, Annis Water Resources Institute Grand Valley State University
Stormwater, Climate Change, and Michigan: Part II Alan Steinman Director, Annis Water Resources Institute Grand Valley State University Point vs. Nonpoint Source Pollution Point sources: Nutrients come
More informationWatershed Modeling and Landuse Change: A new approach. Chris Duffy Lele Shu Penn State University
Watershed Modeling and Landuse Change: A new approach Chris Duffy Lele Shu Penn State University Issues Goals of the Study-> Watershed Context for LUC Develop a high resolution integrated hydrologic and
More informationStone lines Uganda - Ennyiriri z'amayinja eziziyiza ettaka okutwalibwa enkuba (Luganda)
Stone lines Uganda - Ennyiriri z'amayinja eziziyiza ettaka okutwalibwa enkuba (Luganda) Stone lines are built along a contour to control soil erosion on a degraded steep slope. left: Stone lines established
More informationReservoir on the Rio Boba
Reservoir on the Rio Boba Michael J. Burns II Guillermo Bustamante J. James Peterson Executive Summary The National Institute of Water Resources in the Dominican Republic (INDRHI) plans to construct a
More informationWho s in Charge!? 8/9/2018. Houston Geological Society Presents. Peak Floods Brays Bayou
Houston Geological Society Presents An Informational Workshop Flooding and Floodplains in the Houston Area: Past, Present, and Future: Part 1 Presented May 18, 2018 Dr. William R. Dupre Professor Emeritus
More informationEvent 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 informationCE Water Resources Engineering Spring 2018
CE 321 - Water Resources Engineering Spring 2018 Text: Wurbs and James,Water Resources Engineering, 1st. Edition, Prentice Hall, 2002 ISBN: 0-13-0812935 Other references for Water Quality Topics of Interest
More informationINTRODUCTION cont. INTRODUCTION. What is Impervious Surface? Implication of Impervious Surface
Mapping Impervious Surface Changes In Watersheds In Part Of South Eastern Region Of Nigeria Using Landsat Data By F. I. Okeke Department of Geoinformatics and Surveying, University of Nigeria, Enugu Campus
More informationIntegrated Watershed Management and Sedimentation
Journal of Environmental Protection, 2016, 7, 490-494 Published Online March 2016 in SciRes. http://www.scirp.org/journal/jep http://dx.doi.org/10.4236/jep.2016.74043 Integrated Watershed Management and
More informationOverview of NRCS (SCS) TR-20 By Dr. R.M. Ragan
Overview of NRCS (SCS) TR-20 By Dr. R.M. Ragan TR-20 is a computer program for the simulation of runoff occurring from a single storm event. The program develops flood hydrographs from runoff and routes
More informationMission. 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 informationEstimating Groundwater Recharge within Wisconsin s Central Sands
Estimating Groundwater Recharge within Wisconsin s Central Sands Adam Freihoefer and Robert Smail Wisconsin Department of Natural Resources [study objective] Identify a defensible approach to quantify
More informationProtocol for Pre-Installation field Measurements for Prospective Living Snow Fence Sites in New York State
Research Project C-06-09 Designing, Developing and Implementing a Living Snow Fence Program for New York State Task 3-A1 & 3-A2 Protocol for Pre-Installation field Measurements for Prospective Living Snow
More informationCulvert Sizing procedures for the 100-Year Peak Flow
CULVERT SIZING PROCEDURES FOR THE 100-YEAR PEAK FLOW 343 APPENDIX A: Culvert Sizing procedures for the 100-Year Peak Flow A. INTRODUCTION Several methods have been developed for estimating the peak flood
More informationLatest tools and methodologies for flood modeling
Latest tools and methodologies for flood modeling Dr. Yuri Simonov Senior scientist, Hydrometcentre of Russia WMO Commission for Hydrology AWG member Floods - background Types of water-related natural
More informationH. THOMAS & T.R. NISBET Centre for Ecosystems, Society & Biosecurity, Forest Research, UK.
H. Thomas & T.R. Nisbet, Int. J. of Safety and Security Eng., Vol. 6, No. 3 (2016) 466 474 SLOWING THE FLOW IN PICKERING: QUANTIFYING THE EFFECT OF CATCHMENT WOODLAND PLANTING ON FLOODING USING THE SOIL
More informationReservoir age, increasing human population,
B-6249 02/12 Eagle Mountain Watershed Management Brent Clayton, Justin Mechell, David Waidler and Clint Wolfe* Reservoir age, increasing human population, and changing land uses have prompted the development
More informationWater Erosion in Slovakia - Problems and Solutions
Water Erosion in ORIGINAL Slovakia SCIENTIFIC - Problems PAPER and Solutions Water Erosion in Slovakia - Problems and Solutions Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 94976 Nitra,
More informationAPPENDIX F RATIONAL METHOD
7-F-1 APPENDIX F RATIONAL METHOD 1.0 Introduction One of the most commonly used procedures for calculating peak flows from small drainages less than 200 acres is the Rational Method. This method is most
More informationCEE6400 Physical Hydrology
CEE6400 Physical Hydrology Midterm Review Learning Objectives (what you should be able to do) Hydrologic data, the hydrologic cycle and water balance (HW 1) Work with hydrologic data, quantify uncertainty
More informationEffects of initial abstraction ratio in SCS-CN method on modeling the impacts of urbanization on peak flows
Effects of initial abstraction ratio in SCS-CN method on modeling the impacts of urbanization on peak flows Navideh Noori, Latif Kalin, Puneet Srivastava, Charlene LeBleu Proceedings ASCE World Environmental
More informationEstimation of Runoff for Ozat Catchment using RS and GIS based SCS-CN method
Current World Environment Vol. 11(1), 212-217 (2016) Estimation of Runoff for Ozat Catchment using RS and GIS based SCS-CN method Dipesh B. Chavda 1, Jaydip J. Makwana* 2, Hitesh V. Parmar 3, Arvind N.
More informationCapabilities Statement
Capabilities Statement Welcome! People benefit from a multitude of resources and processes supplied by natural resources and ecosystems. These benefits include water supplies suitable for supporting economic
More informationDistribution Restriction Statement Approved for public release; distribution is unlimited.
CECW-EH-Y Regulation No. 1110-2-1464 Department of the Army U.S. Army Corps of Engineers Washington, DC 20314-1000 Engineering and Design HYDROLOGIC ANALYSIS OF WATERSHED RUNOFF Distribution Restriction
More informationFIELD PHOSPHORUS RISK ASSESSMENT
NEBRASKA DEPARTMENT OF ENVIRONMENTAL QUALITY AGRICULTURE SECTION * 1200 N STREET, SUITE 400 * LINCOLN, NE 68509-8922 TEL: (402)471-4239 *FAX: (402) 471-2909 * WEB SITE: www.ndeq.state.ne.us APPENDIX F
More informationEstimation of Surface Runoff of Machhu Dam - III Chatchment Area, Morbi, Gujarat, India, using Curve Number Method and GIS
IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 03, 2015 ISSN (online): 2321-0613 Estimation of Surface Runoff of Machhu Dam - III Chatchment Area, Morbi, Gujarat, India,
More informationPresented by: Peter Spal, IBI Group. OECS Regional Engineering Workshop October 1, 2014
Presented by: Peter Spal, IBI Group OECS Regional Engineering Workshop October 1, 2014 Presentation Topics Principles of Hydrology rational formula, unit hydrograph Modeling Methods SWMMHYMO Synthetic
More informationCalibration of the Soil Conservation Services (SCS) Method in Peninsular Malaysia Using Sungai Tasoh Catchment, Negeri Perlis
Calibration of the Soil Conservation Services (SCS) Method in Peninsular Malaysia Using Sungai Tasoh Catchment, Negeri Perlis ROZI ABDULLAH, Lecturer, School of Civil Engineering, Universiti Sains Malaysia,
More informationModeling Infiltration BMPs
Modeling Infiltration BMPs CAHILL ASSOCIATES Environmental Consultants West Chester, PA (610) 696-4150 www.thcahill.com Design Goals for Calculations 1. Mitigate Peak Rates 2-Year to 100-Year 2. No Volume
More informationDRAFT. Jacob Torres, P.E.; Nick Fang, Ph.D., P.E.
\ Memorandum SSPEED Center at Rice University Department of Civil & Environmental Engineering 6100 Main MS-317 Houston, Texas 77005-1827 sspeed.rice.edu tel: 713-348-4977 To Andy Yung, P.E. CFM; Lane Lease,
More informationRapid National Model Assessments to Support US Conservation Policy Planning Mike White
Rapid National Model Assessments to Support US Conservation Policy Planning Mike White USDA-ARS Grassland, Soil and Water Research Laboratory, Temple, TX 1 Topics Current National Assessments Future National
More information