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Estimation of Runoff

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Title: Estimation of Runoff


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
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
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
Projection North American Datum of 1927 Clarke
1866 Data Sources Idaho Department of Water
Resources, Version of June 8, 1994
URLhttp//www.idwr.state.id.us/gisdata/
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. 
15
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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
Estimation of Runoff and nonpoint source
pollution using GIS techniques
RECOMMENDATIONS
THANKS
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