TITLE:
Identification of Artificial Recharge Sites in Manchi Basin, Eastern Rajasthan (India) Using Remote Sensing and GIS Techniques
AUTHORS:
Subah Rais, Akram Javed
KEYWORDS:
Morphometric Analysis, DEM, Hydrogeomorphology, Remote Sensing, GIS
JOURNAL NAME:
Journal of Geographic Information System,
Vol.6 No.2,
April
18,
2014
ABSTRACT:
The present study is an attempt to prepare a water
resource development action plan for Manchi basin in Eastern Rajasthan (India)
using remote sensing and GIS techniques. Satellite data have proven to be very
useful for surface study, especially in the preparation of land use/land cover
and geomorphological map. Morphometric parameters are analyzed to understand
the basin characteristics and its influence on the water resources for instance
bifurcation ratio indicates high surface run off and low recharge in SB-I, IV,
V. Low drainage density ranges from 2.41 (SB-IV) to 2.99 (SB-V) km/km2,
with an average of 2.72 km/km2 showing permeable strata, dense
vegetation and low relief. Analysis of shape parameters i.e. elongation ratio and circularity ratio suggest that Manchi
basin is elongated in shape. Whereas, slope, geology and geomorphological
mapping is done to demarcate groundwater potential zones for future exploration
in the study area. Slope is inversely proportional to infiltration. Therefore,
sub-basin areas having gentle slope permits less runoff and more infiltration
as in alluvial plains and vice versa where hills and ridges are present. The integrated study helps in designing
suitable sites for constructing water harvesting structures. Check dams,
percolation tanks and nala bund are proposed at 1st, 2nd or 3rd drainage orders
at SB-I and SB-IV with ravenous land (open scrub), uncultivated land, open
forest & exposed rock present. Nala bund & check dam are proposed at
SB-II & SB-V whereas, at SB-III check dams & percolation tanks are
proposed so as to conserve the natural resources present in the basin. Finally,
the best feasible water harvesting structures have been proposed within the
sub-basins area using remote sensing and GIS techniques.