1. Estimation of Runoff & nonpoint source pollution using GIS techniques
By:
Abedalrazq Khalil
Utah State University

2. Estimation of Runoff and nonpoint source pollution using GIS techniques
Introduction
NPS pollutants are spread over broad areas encompassing hundreds, thousands or even millions of hectares of soil; millions of liters of water; and/or millions of cubic meters of air. Characteristically, NPS pollutants are ubiquitous, but are generally low in concentration; consequently, their impact upon human health, plants and animals is chronic in nature.
The ability to model NPS pollutants provides an assessment tool for optimizing the utility of the environment by sustaining its use with minimal detrimental consequences.
GIS serves as a means of storing, manipulating and displaying the tremendous volumes of spatial data associated with NPS pollutants.

3. Estimation of Runoff and nonpoint source pollution using GIS techniques
Objective
Both nitrogen (N) and phosphorus (P) have been identified as having water quality impacts in certain regions where concentrations become too high for the ecosystems in which they are found.
The objectives of this study are to estimate the relationships between total phosphorus and total nitrogen concentrations and the relationships between these parameters and the land-use. The study area is the Snake River Basin in Idaho.

4. Estimation of Runoff and nonpoint source pollution using GIS techniques
Methodology

5. Estimation of Runoff and nonpoint source pollution using GIS techniques
Counties of Basin

6. Estimation of Runoff and nonpoint source pollution using GIS techniques
Snake River

7. Estimation of Runoff and nonpoint source pollution using GIS techniques
APPROACH 
Once the data layers were added to the GIS, some tabular manipulation was necessary in order to prepare it for use with the ArcGIS, e.g. the landuse classification tables, hydrologic soil group data.
Map Shows Landuse distribution.

8. curve number distribution.
Estimation of Runoff and nonpoint source pollution using GIS techniques
curve number distribution.

9. Estimation of Runoff and nonpoint source pollution using GIS techniques
Map shows runoff depth distribution in ‘cm’.

10. Estimation of Runoff and nonpoint source pollution using GIS techniques
Runoff volume grids were calculated using the runoff depth grids, and land use/soil index , and the curve number using this equation:
The estimated average annual runoff depth and volumes are greatest in the cities. This is because of the impervious nature of an urban landscape due to concrete, pavement, and density of buildings. The areas with lowest runoff depth are located near the rivers and streams. These are the lowest elevation areas and are also the outlets of the watershed.  The runoff depth in the agricultural areas is medium to low. 
Map shows Runoff Volume in m3.

11. Estimation of Runoff and nonpoint source pollution using GIS techniques
The expected mean concentration (EMC) of nitrogen and phosphorus which depend on the each land use are entered to tables.

12. Estimation of Runoff and nonpoint source pollution using GIS techniques
Finally, NPS pollutant loading grids were generated via the runoff volume grids. Union the Landuse them and the Runoff Volume theme; multiply Runoff volume times the expected values of P and N for each land use.
Nitrogen Load (Kg/ha/year)

13. The final step was preparation of the data for presentation.
Estimation of Runoff and nonpoint source pollution using GIS techniques
Phosphorus Load (Kg./ha/Year)
It is shown clearly on these maps that lead pollution potential is greater in the city than in the agricultural areas. The areas of greatest risk are the commercial, industrial, and the high-density residential areas. Phosphorus is often more problematic in an urban setting.
The final step was preparation of the data for presentation.

14. Estimation of Runoff and nonpoint source pollutants loads
Site Selection
Counties of Basin
Snake River
Delineated Watershed
Precipitation Map
Shape No
Land Use
Total Volume of Runoff(m3)
Phosphorus Load (Kg./ha/Year)
Nitrogen Load (Kg/ha/year)
Projection:
North American Datum of 1927
Clarke 1866
Data Sources:
Idaho Department of Water Resources, Version of June 8, 1994
URL:
Date:
November 10,2002
Cartographer:
Abedalrazq F. Khalil
Estimation of Runoff and nonpoint source pollutants loads
The estimated average annual runoff depth and volumes are greatest in the cities. This is because of the impervious nature of an urban landscape due to concrete, pavement, and density of buildings. The areas with lowest runoff depth are located near the rivers and streams. These are the lowest elevation areas and are also the outlets of the watershed.  The runoff depth in the agricultural areas is medium to low. 

16. Estimation of Runoff and nonpoint source pollution using GIS techniques
Conclusions

17. Cont. Conclusions
The study confirmed that the presence of phosphorus in a stream necessitates the presence of nitrate and vise versa.
The results of the study will be useful in developing and calculating the water quality indexes, which require information about several water quality parameters that may not be available for many watersheds.
These types of results can be very useful to raise awareness of the potential long-term effects of land use changes within a watershed.

18. RECOMMENDATIONS THANKS
Estimation of Runoff and nonpoint source pollution using GIS techniques
RECOMMENDATIONS
THANKS