Download Modeling Non-Point Source Pollution and Erosion into Gulf Coast

Modeling Non-Point Pollution and Erosion
Into Gulf Coast Bays and Marshes
Rapid Prototyping Capability Project
Dr Greg Easson
Justin Janaskie
Lynn Francis
[The University of Mississippi]
Collaborators
NOAA Coastal Services Center, Charleston, SC
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Outline
 Objectives
 Background
 Project Overview
 Expected Impacts
 Progress Report (April 2008)
 Upcoming Major Tasks
 Timeline
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Project Objectives
 Integrate next generation NASA data into NOAA’s
N-SPECT (Non-point Source Pollution and Erosion
Comparison Tool model) to generate more accurate
model results
 Evaluate N-SPECT performance using proxy Global
Precipitation Measurements (GPM) data modeled
from TRMM data and compare results to
precipitation data currently suggested by NOAA
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
1
Study Area: Mississippi Gulf Coast, Bay St Louis and
Pascagoula River Watersheds
Rationale:
-long history of hydrologic work
-extensive infrastructure
-long history of hydrologic data
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
TRMM and PRISM data comparison
3 hour TRMM 5 km resolution
precipitation radar image of
Hurricane Georges at landfall
– Sept. 28, 1998
PRISM – 4 km resolution
Monthly precipitation spatially
modeled from stream gauge
measurements Sept. 1998
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Background: N-SPECT
 N-SPECT – Non-Point Source Pollution and Erosion
Comparison Tool developed by NOAA Coastal
Services Center uses spatial elevation data to
calculate flow direction and flow accumulation
through a watershed. Required inputs:
Land cover grid,
Digital Elevation Models,
Precipitation grid,
Pollutant coefficients, and
Soils data
 The model is a GIS based extension to ESRI’s
ArcGIS software package that helps coastal
managers predict potential water quality impacts
from nonpoint source pollution and erosion
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Background: N-SPECT
 N-SPECT provides decision makers with the
following features:
Accumulated runoff, pollutant and sediment load
grids,
Pollutant concentration grids,
Pollutant assessment grid, which compares the
resulting concentrations in receiving waters to
user-specified water-quality standards,
 Different land-cover scenarios such as new
development can be added to model potential
changes
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Project Overview
Current N-SPECT input process:
Uses point gage precipitation measurements or
modeled spatial data from point measurements
such as Oregon State University’s Parameterelevation Regressions on Independent Slopes
Model (PRISM)
Uses the Revised Universal Soil Loss Equation
(RUSLE) to calculate erosion
Problem definition:
Certain regions have limited stream gauging
stations which can lead to limited and
generalized watershed erosion and pollutant
estimates
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Project Overview
 This project will compare data for a large rainfall
event over the study area using GPM (modeled from
TRMM) to PRISM data. Hurricane Georges hit the
US Gulf Coast on September 28,1998 with rainfall of
up to 20 to 30 inches locally.
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Expected Project Impact:
TThe increase in resolution and quality of erosion and
pollutant information will significantly improve the accuracy
of predicting non-point source pollution loadings within
watersheds, which in turn:
1. WWill improve the design and implementation of
watershed conservation programs.
2. WWill provide short and long term improvements in
water quality management and improve human health.
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Progress Report
April, 2008
Presentation Outline:
Data collection
Processing & Analysis
Results/outcomes
Timeline
The University of Mississippi Geoinformatics Center
NASA MRC RPC – 11 July 2007
Data Collection: complete
Research Application:
 NASA’s future Global Precipitation Measurement
(GPM scheduled to launch in 2013) mission will
improve current N-SPECT precipitation data
 The GPM sensors will provide significantly improved
resolution over TRMM data
 TRMM data processed and resampled to simulate
GPM data for this project
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Processing & Analysis
 NOAA CSC provided data:
30 m land cover (NLCD)
DEM
Soils (SSURGO)
PRISM precipitation
 Data preparation for use in the N-SPECT
model
 Completed processing of TRMM data for 1998
Hurricane Georges
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Issues
 N-SPECT 2.0 Beta
Enhanced performance
Resolves issues with watershed, land cover curve
numbers and pollutant coefficients
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Remaining Major Tasks:




Run N-SPECT models using accepted CSC
datasets - PRISM
Run N-SPECT model using simulated GPM
generated from TRMM data
Compare results
Document results
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Project Schedule
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008
Contact Information:
Greg Easson, Director UMGC
 662 915 5995
 [email protected]
Lynn Francis
UMGC
 228 688-3197
 [email protected]
Justin Janaskie
UMGC
 662 915 6540
 [email protected]
The University of Mississippi Geoinformatics Center
NASA MRC RPC Review Meeting: 14-15 April 2008