The availability of surface water is reduced by deficit
rainfall due to global climate change, rapid urbanization, and industrial
developments, which induced the need for the identification of groundwater
potential zone. A case study was conducted to find out the groundwater
potential zones in Kattakulathur block, Tamil Nadu, India with an aerial extent
of 360.60 Sq. Km. Initially, the thematic maps such as geology, geomorphology,
soil hydrological group, land use/land cover, and drainage map were prepared for
the study area. The Digital Elevation Model (DEM) has been generated from the
10 m interval contour lines (which is derived from SOI, Toposheet 1:25000
scale) and obtained the slope (%) of the study area. The groundwater potential
zones were obtained by overlaying all the thematic maps in terms of weighted
overlay methods using the spatial analysis tool in ArcGIS 9.2. During the weighted overlay analysis, the
ranking was given for each parameter of each thematic map, and the weightage
was assigned according to the influence such as soil – 25%, geomorphology –
25%, land use/land cover – 25%, slope – 15%, lineament – 5% and
drainage/streams – 5% and find out the potential zones in terms of good,
moderate and poor zones with the area of 49.70 Km2, 261.61 Km2 & 46.04 Km2
respectively. The groundwater potential zones have been derived for the entire
Kattankulathur block and it had been divided into three categories as good,
moderate and poor zones. The village boundary map was superimposed over the
potential zone-wise study region, yielding the village-wise groundwater
potential zones classified as good, moderate, and bad zones. The validation of
this GIS-based output result was carried out through a field survey in which
GPS sensors were used to randomly identify wells in various settlements. The
coordinates of each well location was obtained by GPS and plotted in the GIS
platform and it was clearly shown that the well coordinates were exactly seated
with the classified zones.
Author(s) Details:
M. Nagarajan,
Agricultural Engineering College & Research Institute, Tamil
Nadu Agricultural University, Kumulur, Trichy, Tamil Nadu, India.
M.
Manikandan,
Agricultural
Engineering College & Research Institute, Tamil Nadu Agricultural
University, Kumulur, Trichy, Tamil Nadu, India.
E. Sujitha,
Agricultural Engineering College & Research Institute, Tamil
Nadu Agricultural University, Kumulur, Trichy, Tamil Nadu, India.
A. Valliammai,
Agricultural Engineering College & Research Institute, Tamil
Nadu Agricultural University, Kumulur, Trichy, Tamil Nadu, India.
Please see the link here: https://stm.bookpi.org/RAEGES-V1/article/view/14078
No comments:
Post a Comment