Augustine Avwunudiogba Department of Geography MODELING SOIL EROSION RIO PANUCO BASIN, MEXICO.

Slides:

Advertisements

Similar presentations

Nutrient Retention Model Water Supply Model Precipitation Evapotranspiration Soil Depth and Plant available water Land cover Topography (slope/runoff)

Advertisements

©2003 Institute of Water Research, all rights reserved Water Quality Modeling for Ecological Services under Cropping and Grazing Systems Da Ouyang Jon.

Application of the FEWS Stream Flow (SF) Model to the Limpopo Basin, Mozambique Final Report Tanya Hoogerwerf.

An open source version of the Nonpoint-Source Pollution and Erosion Comparison Tool Climate Tools Café Webinar Dave Eslinger, Ph.D. 3 May, 2012.

1 High Impact Targeting (HIT) “Applying Conservation Tools to the Worst Erosion Areas for Maximum Sediment/Nutrient Reductions“ Glenn O’Neil: Institute.

Developing a GIS-Based Soil Erosion Potential Model for the Jemez Watershed – Using the Revised Universal Soil Loss Equation (RUSLE) Josh Page CE 547 –

M. Stone, J. Stormont, E. Epp, C. Byrne, S. Rahman, R. Powell, W

ESTIMATION OF SOIL USING GIS:A CASE STUDY OF TAITA HILLS PRESENTER:EVANS ARABU UNIVERSITY OF NAIROBI.

The Effects of Different Resolution DEMs in Determining Overland Flow Regimes Stacy L. Hutchinson 1, J.M. Shawn Hutchinson 2, Ik-Jae Kim 1, and Philip.

October 5, 2005, The 4th IAHR Symposium on River, Coastal and Estuarine Morphodynamics Field Observation and WEPP Application for Sediment Yield in an.

Land Use Change and Its Effect on Water Quality: A Watershed Level BASINS-SWAT Model in West Georgia Gandhi Raj Bhattarai Diane Hite Upton Hatch Prepared.

Nidal Salim, Walter Wildi Institute F.-A. Forel, University of Geneva, Switzerland Impact of global climate change on water resources in the Israeli, Jordanian.

Landslide Susceptibility Mapping to Inform Land-use Management Decisions in an Altered Climate Muhammad Barik and Jennifer Adam Washington State University,

Modeling Water Quality. Special reference of this work to….

Geographical & Environmental Modelling Dr Nigel Trodd Coventry University.

Surface Water Simulation Group. Comprehensive watershed scale model developed and supported by the USDA-ARS capable of simulating surface and groundwater.

Non-Point Source Pollutant Modeling Analysis and Prediction David Munn.

U.S. EPA: NCEA/Global Change Research Program Jim Pizzuto and students University of Delaware Changing Climate and Land Use in the Mid-Atlantic: Modeling.

A Distributed Flash Flood Forecasting Rainfall- Runoff Model Applied to Watersheds in the Northeast United States Michael Schaffner NOAA National Weather.

Soil Erosion Assessment using GIS and RUSLE model

Soil Water Assessment Tool (SWAT) Model Input

Impact of Climate Change on Flow in the Upper Mississippi River Basin

Nam Songkhram model application and field work National consultation with TNMC 20th of April 2006, Bangkok MRCS WUP-FIN.

Introduction Soil erosion research is a capital-intensive and time-consuming activity. However, the advent of computer technology leads to a new approach.

Ag. & Biological Engineering

Mokelumne Avoided Cost Analysis Technical Committee Meeting: GeoWEPP modeling 1/9/2013 Mary Ellen Miller Michigan Tech Research Institute Bill Elliot,

Victoria Naipal Max-Planck Institute for Meteorology Land Department; Vegetation Modelling Group Supervisor: Ch.Reick CO-Supervisor: J.Pongratz EGU,

WEPP: A Process-Based Watershed Runoff and Erosion Model for Watershed Assessment William Conroy, Joan Wu, Shuhui Dun Dept. Biological Systems Engineering.

Predicting Sediment and Phosphorus Delivery with a Geographic Information System and a Computer Model M.S. Richardson and A. Roa-Espinosa; Dane County.

Sediment Retention model

Runoff Pond Design, Lutsen, MN By Mark Greve. Problem Poplar River increases in sediment load near Lutsen ski hills Structure needed to slow flow and.

Estimating Pollutant Loads Caroni River Bolivar, Venezuela Global Applications of GIS Technology Lee Sherman.

Seifu A Tilahun School of Civil & Water Resources Engineering,BDU Storm Runoff and soil erosion processes on the Ethiopian highland.

Losing Ground: The Analysis of the Universal Soil Loss Equation Model CHRISTOPHER J. PORTER NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIVERSITY.

al-weather-gang/wp/2014/10/28/hawaii- lava-flow-advances-now-less-than-100- yards-from-nearest-home-in- pahoa/?hpid=z3http://

Watershed delineation and data preparation for groundwater modeling using GIS in the Savannah River Site GIS term project presentation November 25, 2003.

Assessment of Runoff, Sediment Yield and Nutrient Load on Watershed Using Watershed Modeling Mohammad Sholichin Mohammad Sholichin 1) Faridah Othman 2)

Timeline Impaired for turbidity on Minnesota’s list of impaired waters (2004) MPCA must complete a study to determine the total maximum daily load (TMDL)

Lab 13 - Predicting Discharge and Soil Erosion Estimating Runoff Depth using the Curve Number method –Land use or cover type –Hydrologic condition –Soil.

Introduction to Spatial Calculation Estimation of Areas Susceptible to Flood and Soil Loss.

The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Modeling Non-Point Source Pollution and Erosion into Gulf Coast Bays and.

The Effects of Vegetation Loss on the Two Elk Creek Watershed as a Result of the Proposed Vail Category III Ski Area Development CE 394 K.2 By Dave Anderson.

Description of WMS Watershed Modeling System. What Model Does Integrates GIS and hydrologic models Uses digital terrain data to define watershed and sub.

SWAT Modeling for Subwatershed Prioritization Presented by: Dharmendra Saraswat Co-Authors: N. Pai, M. Daniels, and M. Leh 2010 Non Point Source Project.

Building an OpenNSPECT Database for Your Watershed Shan Burkhalter and Dave Eslinger National Oceanic and Atmospheric Administration (NOAA) Office for.

Preparing input for the TOPKAPI (TOPographic Kinematic Approximation and Integration) model PRASANNA DAHAL.

ARC GIS IN THE SANTA RIVER BASIN IN PERU GIS in Water Resources Fall 2006 Professor: Dr. David Maidment Presented by Presented by Eusebio Ingol.

Hydrological modelling in the context of land use change and climate change Emil A. Cherrington Research Associate, CATHALAC

Impacts of Landuse Management and Climate Change on Landslides Susceptibility over the Olympic Peninsula of Washington State Muhammad Barik and Jennifer.

David Rounce. Outline Why Erosion Potential RUSLE Model Process of Project Relevance.

Using GIS to Manage Agricultural Fields and Soil Erosion Nick Stadnyk - Applied Data Consultants, Inc.

Assessing Fire Damage and Erosion Potential in Forestland Affected by the Cerro Grande Wildfire of 2000 Rachel Anne Rebecca November 21, 2000.

Design Reservoir Water- Management Data Model By: Adel M. Abdallah Instructors: David Rosenberg and Dr. Jeff Horsburgh Oct. 16, 2012 Hydroinformatics,

OBJECTIVES To develop hillslope and watershed erosion models for the Manupali subwatersheds based on the WEPP model; To simulate surface runoff, soil.

Agricultural Land Use as it Relates to Land Slope James Plourde, Dr. Bryan Pijanowski Human-Environment Modeling & Analysis Laboratory Purdue University.

Predicting the hydrologic implications of land use change in forested catchments Dennis P. Lettenmaier Department of Civil and Environmental Engineering.

GIS M ETHODOLOGY Swearing Creek Watershed Restoration Plan 8/26/2015 Piedmont Triad Regional Council.

SOIL EROSION ASSESSMENT Measurement of Water Erosion Universal Soil Loss Equation (USLE) - predict annual soil loss by water – Wischmeier and Mannering,

Estimating Annual Sediment Yield and a Sediment Delivery Ratio for Red Creek, Utah and Wyoming Paul Grams Department of Geography and Earth Resources.

Simulation of stream flow using WetSpa Model

Brian Haggard Arkansas Water Resources Center University of Arkansas

Application of soil erosion models in the Gumara-Maksegnit watershed

Advisor: Dr. Tom Brikowski

Teachers David Tarboton David R. Maidment

Estimation of Runoff & nonpoint source pollution using GIS techniques

Soil Loss Estimation. USLE – Universal Soil Loss Equation SLEMSA – Soil Loss Estimation Model for Southern Africa.

Paper by W. P. Gallimore and W

Predicting the hydrologic and water quality implications of climate and land use change in forested catchments Dennis P. Lettenmaier Department of Civil.

Natural Resources Conservation Service

Provo River Watershed Modeling with WMS Ryan Murdock.

Presentation transcript:

Augustine Avwunudiogba Department of Geography MODELING SOIL EROSION RIO PANUCO BASIN, MEXICO

PRESENTATION OUTLINE Background/Motivation Background/Motivation Goals of Study Goals of Study Data Collection Data Collection Data Analysis Data Analysis Result Result Conclusion & Future Research Conclusion & Future Research

Rio PanucoBasin Locator Map THE RIO PAUCO BASIN, MEXICO

P.F Hudson CULTIVATION IN THE UPLANDS OF RIO MOCTEZUMA WATERSHED IN THE PANUCO BASIN

RIO MOCTEZUMA HIGH SUSPENDED SEDIMENT LOAD HIGH SEDIMENT LOAD RELATED TO LANDUSE?

GOAL/OBJECTIVES Preliminary study Preliminary study Determine the available Public Domain Data Determine the available Public Domain Data Determine the Suitability of the Public Domain Data Determine the Suitability of the Public Domain Data Review Existing Soil Erosion Model Review Existing Soil Erosion Model Conduct a preliminary Soil Erosion Assessment for the Basin Conduct a preliminary Soil Erosion Assessment for the Basin

SOME SOIL EROSION SIMULATION MODELS SOME SOIL EROSION SIMULATION MODELS USLE/RUSLE (Universal Soil Loss Equation) – Wischmeier & Smith, 1978/Renard et al.,1987 USLE/RUSLE (Universal Soil Loss Equation) – Wischmeier & Smith, 1978/Renard et al.,1987 WEPP (Water Erosion Prediction Project)-Nearing et al.,1989 WEPP (Water Erosion Prediction Project)-Nearing et al.,1989 EUROSEM (European Soil Erosion Model)-Morgan et al.,1991 EUROSEM (European Soil Erosion Model)-Morgan et al.,1991 EPIC (Erosion Productivity Impact Calculator)-Williams et al.,1984 EPIC (Erosion Productivity Impact Calculator)-Williams et al.,1984 CREAMS(Chemical Runoff and Erosion from Agricultural Management Systems)- Knisel,1980 CREAMS(Chemical Runoff and Erosion from Agricultural Management Systems)- Knisel,1980 KINEROS (Kinematic Erosion Simulation Model)-Smith,1981 KINEROS (Kinematic Erosion Simulation Model)-Smith,1981 ANSWERS (Area Non-Point Source Watershed Environment Response Simulation Model)-Beasley,et al.,1980) ANSWERS (Area Non-Point Source Watershed Environment Response Simulation Model)-Beasley,et al.,1980)

DATA COLLECTION REQUIRED DATA REQUIRED DATA –Rio Panuco Basin –Dem –Slope –Landuse/landcover –Rainfall –Soil –Support Practice AVAILABLE DATA (PUBLIC DOMAIN) AVAILABLE DATA (PUBLIC DOMAIN) –Rio Panuco Basin (USGS Hydro 1k) –Dem (USGS Hydro 1k GTOPO) –Slope (USGS Hydro 1k GTOPO) –Landuse/landcover(USGS Global Landuse Data) –Precipitation (-Dr. Maidment)

DATA COLLECTION CNTD.

SUB-WATERSHEDS IN THE RIO PANUCO BASIN

PRECIPITATION DISTRIBUTION IN THE RIO PANUCO BASIN

ELEVATION IN THE PANUCO BASIN

LAND USE/LAND COVER IN THE PANUCO BASIN

DEM Landuse Reclass SlopeSlope Reclass Land use LandUse Reclass Erosion Sensitivity DATA ANALYSIS Erosion Sensitivity Mapping (Modified from Morgan,1979)

DEM Landuse Reclass SlopeSlope Reclass Land use LandUse Reclass Erosion Sensitivity DATA ANALYSIS Erosion Sensitivity Mapping (Modified from Morgan,1979)

SLOPE RANGE IN THE RIO PANUCO BASIN

RECLASSIFIED SLOPE MAP OF RIO PANUCO BASIN

RECLASSIFIED LAND USE/ LAND COVER: RIO PANUCO BASIN

SOIL EROSION SENSITIVITY IN RIO PANUCO BASIN

CONCLUSION & FUTURE STUDY Conclusion Conclusion -Limited Data in Public Domain -Spatial Resolution of Available Data Inappropriate Future Study Future Study -Prepare proposal for grant -Undertake a Preliminary Field Visit -Select a Sub-watershed for Detailed Study

ACKNOWLEDGEMENT Dr. Maidment Dr. Maidment Dr. P.F. Hudson Dr. P.F. Hudson Mr.Venkatesh Merwade Mr.Venkatesh Merwade

Questions/Suggestions ?