Analysing agricultural drought resilience over Indian mainland at sub-basin level using long-term (2002-23) precipitation, soil moisture and ancillary datasets

Prabir Kumar Das (), Koyena Das (), Sharmistha B. Pandey (), Rituparna Das (), Arindam Guha () and Suparn Pathak ()
Additional contact information
Prabir Kumar Das: Regional Remote Sensing Centre-East, National Remote Sensing Centre, Newtown
Koyena Das: TERI School of Advanced Studies
Sharmistha B. Pandey: Regional Remote Sensing Centre-East, National Remote Sensing Centre, Newtown
Rituparna Das: Regional Remote Sensing Centre-East, National Remote Sensing Centre, Newtown
Arindam Guha: Regional Remote Sensing Centre-East, National Remote Sensing Centre, Newtown
Suparn Pathak: Regional Remote Sensing Centre-East, National Remote Sensing Centre, Newtown

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 15, No 33, 18113-18140

Abstract: Abstract Drought resilience information is essential for effective drought management and mitigation planning under changing climate scenarios to ensure food security. The present study proposed a novel approach for generating agricultural drought resilience map over Indian mainland using meteorological and agricultural drought occurrence information during long-time period (2002-23). The gridded rainfall data from the India Meteorological Department (IMD) and root-zone soil moisture data from Global Land Data Assimilation System (GLDAS) were utilized to compute standardized precipitation index (SPI) and standardized soil moisture index (SSMI) at different timescales, respectively. The SPI and SSMI thresholds approach were used to identify meteorological and agricultural drought events, respectively, along with severity categories. Relative behavior of temporal profiles of SPI and SSMI were analyzed at individual grid level and two parameters, i.e., conditional probability (Cp) and buffering index (Bi), were computed. The Cp represents the rate of conversion from meteorological droughts to agricultural drought, whereas Bi is a metric used to assess the buffering capacity of soil during drought conditions. Both the parameters were re-scaled into 0–1 scale and were coupled through normalization to generate drought resilience information, i.e., normalized index (NI), for different drought categories. Further, the varying weightages were applied on NI for addressing the differential impacts of drought severity classes and finally the agricultural drought resilience maps were generated at sub-basin level. An attempt was also directed to find the causative factors, in terms of soil water holding capacity and percentage available command area, towards spatial variation in drought resilience across Indian mainland.

Keywords: Drought; Agricultural resilience; Precipitation; Soil moisture; Soil water holding capacity; Command area (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-025-07508-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:121:y:2025:i:15:d:10.1007_s11069-025-07508-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-025-07508-5

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().