Drought assessment for kharif rice using standardized precipitation index (SPI) and vegetation condition index (VCI)

Deepa B Kamble Deepa B Kamble,Himani Bisht Himani Bisht,Shraddha Rawat Shraddha Rawat,Arnab Kundu Arnab Kundu,Shweta Gautam Shweta Gautam

doi:10.54386/jam.v21i2.230

Abstract

The monthly weather data for 31 years from 1985-2015 was used to analyze the extent of meteorological drought using standardized precipitation index (SPI) over Allahabad, Kanpur and Lucknow. MODIS NDVI data from 2000-2015 was used for monitoring of agricultural drought through NDVI based vegetation condition index (VCI) for all the three districts. The monthly SPI and VCI values from July to October were correlated with productivity index (PI) of kharif rice.Both the indices (SPI and VCI) were positively correlated with PI for all the districts. In Allahabad SPI and VCI during September month showed a significant correlation (0.70**& 0.61*) while in Kanpur VCI during October and SPI of July and August were significantly correlated with PI of kharif Rice. The multiple regression equation developed for predicting kharif rice PI in Allahabad, Kanpur and Lucknow districts explained 69 to 76 per cent variabilityin PI.

Highlights

Drought is a recurring major natural climatic hazard that occurs in almost every climatic zone around the world and causing socio–economic challenges
The standardized precipitation index (SPI) of different time scales were used to study the impact on climates, crops and availability of water resources for example, 1- or 2-month SPI for meteorological drought, from 1-month to 6-month SPI for agricultural drought, and 6-month up to 24-month SPI or more for hydrological drought analyses (WMO, 2012)
The SPI classes fell under dry category were 29, 9 and 16 per cent of study period (1985-2015) during July, August and September, respectively for Drought assessment of rice using SPI and vegetation condition index (VCI)

Summary

Introduction

Drought is a recurring major natural climatic hazard that occurs in almost every climatic zone around the world and causing socio–economic challenges. It leads to increase food prices, food insecurity, povertyand famine which make it the worst among all the natural hazards. The SPI of different time scales were used to study the impact on climates, crops and availability of water resources for example, 1- or 2-month SPI for meteorological drought, from 1-month to 6-month SPI for agricultural drought, and 6-month up to 24-month SPI or more for hydrological drought analyses (WMO, 2012). The present study was conducted to assess the pattern and frequency of drought and its relationship with kharif rice productivityinAllahabad, Kanpur and Lucknow districts of Uttar Pradesh byusing two widely used indices viz. SPI and VCI

Methods

Results

Conclusion