Spatial and Temporal Analysis of Drought Forecasting on Rivers of South India

Author:

Shaikh Ayub1,Sharma Kul Vaibhav2,Kumar Vijendra2ORCID,Singh Karan3

Affiliation:

1. School of Civil Engineering, JSPM Imperial College of Engineering and Research, Pune 411060, Maharashtra, India

2. Department of Civil Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune 411038, Maharashtra, India

3. School of Civil Engineering, Lovely Professional University, Phagwara 144411, Punjab, India

Abstract

Extreme weather events such as droughts are catastrophic and can have serious consequences for people and the environment. Drought may be managed if measures are taken in advance. The success of this endeavor depends on a number of factors, not the least of which is accurate descriptions and measurements of drought conditions. Reducing the negative consequences of droughts requires an early forecast of drought conditions. The primary objective of this research is, hence, to establish a process for the assessment and prediction of drought. The drought evaluation was carried out using the standards established by the SPI and the Indian Meteorological Department. Maps of drought severity were generated using severe drought data. Thirty years’ worth of SPI readings was analyzed. Fuzzy-based drought forecasting model parameters were determined during a 25-year period, and the model was validated throughout the remaining years. The findings of this study can be used by the community to help combat the drought. Before the drought worsens, the local government can implement lifesaving mitigating measures.

Publisher

MDPI AG

Subject

Pollution,Urban Studies,Waste Management and Disposal,Environmental Science (miscellaneous),Geography, Planning and Development

Reference29 articles.

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3. Assessment of agricultural drought in Rajasthan (India) using remote sensing derived Vegetation Condition Index (VCI) and Standardized Precipitation Index (SPI);Dutta;Egypt. J. Remote Sens. Space Sci.,2015

4. Meteorological drought study through SPI in three drought prone districts of West Bengal, India;Bhunia;Earth Syst. Environ.,2020

5. Global quantitative and qualitative assessment of drought research from 1861 to 2019;Ekundayo;Int. J. Disaster Risk Reduct.,2022

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