ISPRS, Vol.34, Part 2W2, “Dynamic and Multi-Dimensional GIS”, Bangkok, May 23-25, 2001
43
,/ls. Particularly,
the pesticides
d Classification
igations in this
as crops and
:onsidering the
;s;
curacy of DEM
gorithm to well
> losses runoff
¡IS and remote
GIS and remote
sensing integrated model with real 3-dimensons for
showing the pesticides pollution distribution with
relative multi-layers geographic information and
providing dynamic decision support for the
environmental quality managers.
CONCLUSIONS
This paper has described the use of a set of DEM-based
analysis method to compute hydrological parameters for the
pesticides losses runoff model. Cell numbers, cell connectivities,
flow direction, land and channel slopes, slope lengths, slope
shapes, and upslope contributing areas, were carried out.
Comparing with the conventional model, In which all terrain
input data must be entered into the input file by hand, the
advantage of integration with GIS techniques, here is the terrain
analysis, are appeared obviously.
For the project is just in operation now, the results showed in
this paper are only a small portion of total anticipated output.
However, through the comparison of results generated by the
integration of GIS with the field measured slope and direction,
there are only little disagreement. It is shown that it is feasible to
use terrain analysis methods to restructure existing hydrologic
and soil erosion models to improve their usefulness and
potential accuracy in the pesticides losses simulation. Though
the efficiency may be limited by the relative simplicity of the
model algorithms and better account for the effects of flow
convergence and divergence in natural landscapes. It makes
the acquisition and input of the terrain-based parameters into
runoff model to access a DEM databases.
From the analyzing and proving of this study, we can draw an
initial conclusion that the incorporation of GIS with the
pesticides losses runoff model provides a powerful tool for
pesticides load simulation and pollution control management
Further studies are underway as part of this project to further
explore some of issues presented, including investigations on
the use of thematic information and DEMs derived from
high-resolution IKONOS images for generating some of input
parameters of the pesticides losses runoff model.
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