Resource Planning and Management of Thorli Watershed Using GIS
A. J. Shirke1,
R.A. Suryawanshi2, P.K. Deshpande3
Professor, Dept .of Civil Engg., PDVVP College of Engineering,
Ahmednagar (MS) INDIA.
Dept. of Geology,
Y.C. College of
Science, Karad, Satara (MS) INDIA.
Lecturer of Civil Engg Government College of Engg, Karad, Satara (MS)
Academic Editor: Dr.
Aher K. R.
resource planning and management of any of the watershed is essential.
This may be achieved by Geomorphometric alalysis using GIS and remote
sensing. In this paper the study of Thorli Watershed from Ratnagiri
District of Maharashtra state is presented. Sustainable development and
management of the Thorli Watershed is influenced by topography of the
area and the geomorphologic features. Geomorphometry supplies
quantitative drainage network analysis and geomorphic evolution of the
Thorli basin have been carried out. The various aspects of
Geomorphometric parameters such as Drainage Density, Slope, Shape of the
Basin, Bifurcation ratio, Length ratio and landuse & landcover map along
with geological parameters gives the precise and objective overview
about the watershed. This is the seasonal rain fed watershed, hence
needs better management. Sustainable developments and management of the
watershed is influenced by topography of the area and the geomorphologic
features. Geomorphometry supplies the quantitative values to
geomorphology and hydrology.
The remote sensing
(RS) and Geographical Information System (GIS) has been adopted for
geomorphometric analysis of the study area. The software ILWIS
(developed by ITC, Netherlands) has been used for inputting managing,
analyzing, interpreting and presenting the data. The generated
geoinfromatics can be readily used for decision-making. The attempt has
been made to study some geomorphometric parameters of Thorli basin. The
manual estimation of geomorphic parameters is tedious and cumbersome
process. However, through this attempt, it has been found that
integration of RS & GIS allows reliable, accurate and most updated data
base tool for handling spatial data, very useful in deriving
geomorphometric parameters which are essential for planning future
infrastructural, sustainable water resources planning of the study area.