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IAPRS & SIS, Vol.34, Part 7, “Resource and Environmental Monitoring”, Hyderabad, India, 2002
percolation tank. A 200 meters buffer zone was created
around streams of order <3 rd order and area falling under
this buffer zone was extracted from composite site
suitability layer. Similarly, streams of order > 3 rd order or
less were selected for identifying suitable sites for check
dams.
> Alternatives in the best suitable sites: Even in the first best
suitable zone alternative sites, which were identified further
ranked based on criteria like Suitability ranking,
availability of good terrain conditions for impounding of
water along the stream i.e. at least up to 200M upstream
from the structure and in the surrounding area, confluence
of channels etc., similarly, second best suitable zone & 3rd
best suitable zones were also analyzes and exact location
for constructing water harvesting structures were identified.
> Conditions fulfilling suitable sites: Watershed area was for
each of the proposed sites and certain sites which failed to
satisfy the watershed norms were eliminated. Minimum
catchment area requirement for percolation tank was taken
as 40 hectares. For check dam the minimum catchment
area requirement would be 25 hectares.
» Distance norms: I) On the same stream no two check-dams
should occur within a distance of 2 Km. On the same
stream no two percolation tanks occur within a distance of
5 Km.II) Distance between 2 check-dams occurring on
different streams should be greater than 1 Km distance and
distance between two percolation tanks would be more
than 2 kms. III) Distance between an existing water body
and proposed check dam should be »1 Km. IV) Distance
between an existing water body and proposed percolation
tank should be » 2km.
4.4.6 Conclusions:
Locating the favorable sites for construction of water harvesting
structures by an expert is tedious and time-consuming task.
Further, the results will vary from expert to expert and hence
there need to develop a Decision support systems which can
provide unambiguous results for such problems. The Decision
Space software developed by ADRIN can very effectively be
used in locating suitable water harvesting structures elsewhere
as long as the conditions fulfill the Decision Space
requirements. It can be used to model other Natural disasters
like floods, landslides etc.,
5 CONCLUSIONS
It can be concluded from the above case studies that temporal
satellite imagery data together the Decision support system
(like Decision Space developed by ADRIN) can play an
important role in the Monitoring environmental hazards like
Landslides, floods etc, as well as in locating natural resources
like suitable sites for construction of artificial water harvesting
structures such as check dams and percolation tanks.
6 ACKNOWLEDGEMENTS
The authors are grateful to Dr.R.Krishnan, Director ADRIN for
encouragement and allow us present the same at ISPRS ITC VIII
Symposium held at Hyderabad during December 3-6, 2002.
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