Modeling Nitrogen Loading to the Groundwater in Response to Land Use Change By Dibyajyoti (Diby) Tripathy ABE 527 (Spring’ 04)

Slides:



Advertisements
Similar presentations
Cropping Systems Affecting Over- winter Soil Nitrate Dynamics and Leaching Chengci Chen, Michael Bestwick, and Yesuf Mohammed Central Ag Research Center.
Advertisements

Workshop on Climatic Analysis and Mapping for Agriculture
A Model for Evaluating the Impacts of Spatial and Temporal Land Use Changes on Water Quality at Watershed Scale Jae-Pil Cho and Saied Mostaghimi 07/29/2003.
Daily Manure Production Per Animal We have estimates of manure production –4.5 kg/day/hd for swine (liquid manure) –45-50 kg/day/hd for dairy cow (liquid)
An open source version of the Nonpoint-Source Pollution and Erosion Comparison Tool Climate Tools Café Webinar Dave Eslinger, Ph.D. 3 May, 2012.
Nitrogen pollution mapping at the European level ELPEN meeting, Udine, Italy November 2002 Vincent Delaunay.
A model of soil nitrogen reserves in an Irish grass sward C. Paillette 1, 2, D. Hennessy 1, L. Delaby 3, D. O Connor 2 and L. Shalloo 1 1 Animal & Grassland.
Minnesota Watershed Nitrogen Reduction Planning Tool William Lazarus Department of Applied Economics University of Minnesota David Mulla Department of.
Livestock Manure Management – The Basics on Why and How Coordinating Manure Utilization Plans With Crop Rotations Jon Stika, Area Agronomist USDA-NRCS,
Distribution of Nitrate in Ground Water Under Three Unsewered Subdivisions Erin P. Eid Mike Trojan Jim Stockinger Jennifer Maloney Minnesota Pollution.
Conservation Effects Assessment Project (CEAP) Measuring the Environmental Benefits of Conservation Managing the Agricultural Landscape for Environmental.
LTHIA – Upgrades and Training Bernard A. Engel Tong Zhai Larry Theller Agricultural and Biological Department Purdue University In conjunction.
Web-Based GIS for Hydrological Impact Analysis Bernie Engel, Professor and Head Larry Theller, GIS Specialist Agricultural and Biological Engineering Purdue.
1 Quantitative concepts and skills Proportions Dry weight calculations Density Unit conversions Subtraction Organic Nitrogen Fertilizers Module X Organic.
Modeling of Soil Nutrients – An Introduction to Logical Spreadsheeting Russell Yost Department of Tropical Plant and Soil Science, University of Hawai`i.
A FRAMEWORK FOR ASSESSING THE PERFORMANCE OF DWM AT LARGE SCALE MOHAMED A. YOUSSEF and R. WAYNE SKAGGS 1 By.
L-THIA Long-Term Hydrologic Impact Assessment Model ….provides relative estimates of change of runoff and non point source pollutants caused due to land.
Surface Water Simulation Group. Comprehensive watershed scale model developed and supported by the USDA-ARS capable of simulating surface and groundwater.
Using the Missouri P index John A. Lory, Ph.D. Division of Plant Sciences Commercial Agriculture Program University of Missouri.
Introducing Web-Based Decision Tools for Environmental Watershed Management Bernie Engel and Roxanne Mitchell Agricultural & Biological Engineering Purdue.
The Effect of Soil Hydraulic Properties and Deep Seepage Losses on Drainage Flow using DRAINMOD Debjani Deb 26 th April, 2004.
Long-Term Hydrologic Impact Assessment (L-THIA) Model An overview / screening model User friendly tool Does not require detailed data input Identifies.
The Effects of Nitrogen Fertilization on Nutrient Cycling and Forest Productivity By: Eric Sucre.
An Internet/GIS-Based Tool to Assist Community Planners Bernie Engel Jon Harbor Don Jones and many others.
Determining the effectiveness of best management practices to reduce nutrient loading from cattle grazed pastures in Utah Nicki Devanny Utah State University,
Agricultural Nonpoint Source Pollution and Water Quality as a function of Land Management Practices on Four Kansas Farms William W. Spotts Dr. Donald Huggins.
SWAT – Land Phase of the Hydrologic Cycle Kristina Schneider Kristi Shaw.
Nutrient Cycling Amy Shober, Ph.D. UF/IFAS Gulf Coast REC Advanced Soils & Fertilizers Topics for Master Gardeners 1 of 14 ©2008 University of Florida-IFAS.
Models to predict metal leaching to ground- and surface water: from soil data to scenario studies Bert-Jan Groenenberg, Luc Bonten, Paul Römkens.
Chesapeake Bay Program Incorporation of Lag Times into the Decision Process Gary Shenk 10/16/12 1.
Bernie Engel Purdue University. Low-Impact Development (LID) An approach to land development to mimic the pre-development site hydrology to: 1)Reduce.
Soil Electrical Conductivity
E. Priesack and S. Gayler Workshop Halle Sept Modelling Soil-Plant-Atmosphere Interactions of the long-term experiment Bad Lauchstädt.
Modeling experience of non- point pollution: CREAMS (R. Tumas) EPIC (A. Povilaitis and R.Tumas SWRRBWQ (A. Dumbrauskas and R. Tumas) AGNPS (Sileika and.
Soil Respiration Unit: Soil Science. Objectives O Define: soil respiration and soil microbes O Explain the role of soil respiration in determining soil.
MODELING THE IMPACT OF IRRIGATION ON NUTRIENT EXPORT FROM AGRICULTURAL FIELDS IN THE SOUTHEASTERN UNITED STATES W. Lee Ellenburg Graduate Research Assistant.
Visualization Techniques Useful For Planning - Ensley Township-
Bernie Engel, Larry Theller, James Hunter Purdue University.
Larry Theller Bernie Engel Youn Shik Park Purdue University GLRI Project Corps of Engineers 516(e) Program. May 17-18, 2011.
Water Movement Below Surface
BROUGHT TO YOU BY: BUILDING ENVIRONMENTAL LEADERS IN ANIMAL AGRICULTURE WELCOME TO MANURE MANAGEMENT JEOPARDY! Sections 2 and 3 Nutrient Management Regulations.
Institute of Hydrology Slovak Academy of Sciences Katarína Stehlová 6 th ALPS-ADRIA SCIENTIFIC WORKSHOP 30 April - 5 May, 2007 Obervellach, Austria Assessment.
Soil Nitrogen Unit: Soil Science.
ALTERRA Organic matter / nitrogen simulations with SWAP/ANIMO Joop Kroes & Piet Groenendijk.
Institute of Water Research L-THIA LID Overview July 10, L-THIA LID Component Bernie Engel, Larry Theller Y.S. Park, T. Wright.
State Board Modeling Needs and Interests Eric Berntsen, PH, CPESC, CPSWQ State Water Resources Control Board CWEMF Hydrology and Watershed Modeling Workshop.
1. The Study of Excess Nitrogen in the Neuse River Basin “A Landscape Level Analysis of Potential Excess Nitrogen in East-Central North Carolina, USA”
LONG-TERM HYDROLOGIC IMPACT ASSESSMENT Overview: Basic Curve Number Analysis The L-THIA LID Model What is Low Impact Development Specific LID Practices.
October 12, 2015 Iowa State University Indrajeet Chaubey Purdue University Water Quality.
ALTERRA Step wise modelling approach Climate data long and short term Soil schematisation Water fluxes and moisture contents: long and short term Soil.
DIAS INFORMATION DAY GLOBAL WATER RESOURCES AND ENVIRONMENTAL CHANGE Date: 09/07/2004 Research ideas by The Danish Institute of Agricultural Sciences (DIAS)
Maximum Liquid Manure Spreading Rates on Sloping Land Ron Fleming and Malcolm MacAlpine University of Guelph Ridgetown Campus CSBE
Black Turtle Land Use Change Hydrologic Impact Evaluation Using Desktop and Web-GIS Capability Kyoung Jae Lim, Bernard A. Engel, Jin-Yong Choi, Jon Harbor,
Nitrous Oxide Focus Group Nitrous Oxide Focus Group launch event Friday February 22 nd, 2008 Dr Kevin Hiscock and Professor Julian Andrews School of Environmental.
The aim of this project is to estimate changes in runoff, and nonpoint source (NPS) pollution resulting from past land use changes in the Great Lakes Area.
The aim of this project is to estimate changes in runoff, and nonpoint source (NPS) pollution resulting from past land use changes in the Great Lakes Area.
Black Turtle Land Use Change Hydrologic Impact Evaluation Kyoung Jae Lim, Bernard A. Engel, Jin-Yong Choi, Jon Harbor, Larry Theller Purdue University.
Bernie Engel, Larry Theller, James Hunter
The Institute of Hydrology of the Slovak Academy of Sciences,
Simulation of stream flow using WetSpa Model
L-THIA Online and LID in a watershed investigation
L-THIA Online and LID Larry Theller
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.
Water & Human Impact: Unit 4
Applied Hydrology Infiltration
1. The Study of Excess Nitrogen in the Neuse River Basin
SWAT – Land Phase of the Hydrologic Cycle
Overview of Climate Impact Assessment Framework and Implementation
Poultry Litter as Fertilizer?
Presentation transcript:

Modeling Nitrogen Loading to the Groundwater in Response to Land Use Change By Dibyajyoti (Diby) Tripathy ABE 527 (Spring’ 04)

Introduction Land use change can affect both surface water and groundwater quality Impacts of land use change on groundwater has received less attention Given the alarming rate of land use change globally, it is important to understand the linkage between land use change and nutrient (e.g., Nitrogen) loading to groundwater

Objectives Model Nitrogen loadings to surface water (or, runoff) in response to land use change Model how much of Nitrogen in the runoff is likely to contaminate groundwater if an orchard grass strip is used as a detention base

Models Two models are used is this project: 1> Long-Term Hydrologic Impact Assessment (L-THIA) 2> Grazing Simulation Model (GRASIM) (Both the models are developed at Purdue University and have WWW based interfaces)

Models continued… L-THIA N-Loading to Runoff GRASIM N-Leaching to Groundwater

Models continued.. L-THIA Model formed the basis for estimating Nitrogen loading to the runoff It is an empirical model that estimates runoff and pollutant loadings annually I have modified the model (a spread sheet version) to estimate daily Nitrogen Loadings

L-THIA Model

Models continued.. GRASIM was used for estimating Nitrogen leaching to the groundwater through an orchard grass strip It is a comprehensive grazing model that predicts standing biomass, soil moisture, drainage, and Nitrogen leaching under pasture Nitrogen available for leaching is computed as: NAL = N f + N p + N rsd + N n – N plt – N det - N oth The processes involve: nitrification, mineralization, uptake, volatilization, denitrification, and leaching

GRASIM Model

Methods A hypothetical land use scenario (consisting of meadows, commercial, and high density residential land) in a 10 acre area in State College, Centre County, PA, was considered Precipitation data (1994), curve numbers (CN) for specific land use categories and hydrologic soil groups, and the area for each land use were used to calculate the daily runoff volume Finally, amount of N Loading (daily) to the surface water was determined by multiplying Event Mean Concentration (EMC) value for Nitrogen with the runoff volume

Methods continued… Daily N-loadings in the study area for 1994 were then incorporated into GRASIM such that it mimicked application of manure over a meadow Soil and nutrient parameters were adjusted accordingly to reflect the conditions of the study area Finally, total Nitrate leaching to the groundwater below the root zone was calculated

Results Amount of Nitrate leaching to groundwater is found to be 2.0 kg/ha for the given scenario A strong positive correlation is found between rainfall, N loading to runoff, and Nitrate leaching to groundwater Orchard grass strip is found to be an effective, low cost, and environment friendly measure to reduce groundwater contamination due to N

Results continued… Total amount of Nitrate leached from the top layer (30 cm depth below ground surface) is 57.5 kg/ha Nitrate leaching from top layer can’t cause any groundwater contamination Total amount of Nitrate leached from the bottom layer (30 cm to 70cm depth below surface) is 2.0kg/ha Nitrate leached only from 2 nd layer can cause groundwater contamination

Results continued… A strong correlation between rainfall, N loading to runoff, and Nitrate leaching to groundwater

Results continued…

Sensitivity Analysis

Discussion Highly sensitive parameters: 1> Leaching coefficient 2> Soil bulk density 3> Soil water content after gravitational water drained from bottom Layer 4> Soil water content at 15 bar of bottom Layer 5> Initial organic matter Sensitive parameters: 1> Mineralization rate of soil organic matter 2> Initial nitrate in the bottom layer

Conclusion It is possible to combine two very different models - L-THIA and GRASIM - to estimate possible N loading to groundwater due to land use change Amount of Nitrate leaching to groundwater is found to be 2.0 kg/ha for the given scenario Due to it’s ability in substantially reducing N leaching, Orchard grass strips can be used as effective, low cost, and environment friendly measure for preventing groundwater contamination due to N

Conclusion continued… GRASIM results vary considerably with slight change in values of following parameters: –Leaching coefficient –Soil bulk density –Soil water content after gravitational water drained from bottom Layer –Soil water content at 15 bar of bottom Layer –Initial organic matter Thus accurate and field specific values must be used to get more realistic N leaching estimations

Thank You !