Assessment of Meteorological Drought for Chittar Sub-basin Using Geographical Information System
M.C. Sashikkumar, O. Ganesh Babu
Abstract
Drought is a normal feature of the climate and its recurrence is inevitable. Droughts occur due to failure of monsoons over a region. Within a short period of time, the amount of moisture in soils begin to decrease which then leads to decrease in flow of rivers, water levels in lakes, reservoirs and wells after several weeks or months. As the economy of our country is often gripped with the gamble of monsoons, studies regarding drought become inevitable. Drought is caused due to deficiency of water that depends on rainfall, which falls in uneven pattern across the country. Hence, an attempt is made in the present study to analyse rainfall status and assess the drought severity of Chittar sub-basin in meteorological aspect using Geographical Information System (GIS). GIS provides tools to incorporate spatial and temporal variations of water resources data. The assessment of drought severity in the meteorological context was carried out by India Meteorological Department (IMD) method. Meteorological drought risk index for each rainfall station the sub-basin was calculated by frequency analysis. Spatial interpolation of meteorological drought risk index was mapped in Arc view GIS 3.2a software. The meteorological drought risk maps help the administrators and planners to plan various alternative measures to overcome the drought and its impacts.
Keywords
Drought, GIS, IMD, Sub-basin
Full Text:
PDF
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 3.0 License.
*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)