Drought variability assessment using standardized precipitation index, reconnaissance drought index and precipitation deciles across Balochistan, Pakistan.

Z N Qaisrani, N Nuthammachot, K Techato, G H Jatoi, B Mahmood, R Ahmed
Author Information
  1. Z N Qaisrani: Prince of Songkla University - PSU, Faculty of Environmental Management, Songkhla, Thailand. ORCID
  2. N Nuthammachot: Prince of Songkla University - PSU, Faculty of Environmental Management, Songkhla, Thailand. ORCID
  3. K Techato: Prince of Songkla University - PSU, Faculty of Environmental Management, Songkhla, Thailand. ORCID
  4. Asadullah: Balochistan University of Information Technology, Engineering & Management Sciences - BUITEMS, Faculty of Engineering & Architecture, Department of Chemical Engineering, Quetta, Balochistan, Pakistan. ORCID
  5. G H Jatoi: Mir Chakar Khan Rind University - MCKRU, Department of Agriculture, Sibi, Balochistan, Pakistan. ORCID
  6. B Mahmood: University of Poonch Rawalakot - UPR, Faculty of Agriculture, Department of Plant Pathology, Rawalakot, AJK, Pakistan. ORCID
  7. R Ahmed: University of Poonch Rawalakot - UPR, Faculty of Agriculture, Department of Plant Pathology, Rawalakot, AJK, Pakistan. ORCID

Abstract

Drought variability analysis is of utmost concern for planning and efficiently managing water resources and food security in any specific area. In the current study, drought spell occurrence has been investigated in the Balochistan province of Pakistan during the past four decades (1981-2020) using standardized precipitation index (SPI), reconnaissance drought index (RDI), and precipitation deciles (PD) at an annual timescale. Precipitation and temperature data collected from 13 synoptic meteorological stations located in Balochistan were used to calculate the SPI, the RDI, and the PD for calculation of drought severity and duration. Based on these indices, temporal analysis shows adverse impacts of drought spells in Nokkundi during 1991-1993, in Barkhan, Dalbandin, Quetta stations during 1999-2000, whereas Barkhan, Dalbandin, Lasbella, Sibi during 2002-2003, Zhob during 2010-2011, Kalat and Khuzdar during 2014-2015, and Panjgur during 2017-2018. Also, the aridity index for each station was calculated based on the UNEP method shows that major part of Balochistan lies in the arid zone, followed by the hyper-arid in the southwestern part and the semi-arid zones in the northeastern part of the province. SPI and RDI results were found more localized than PD, as PD shows extensive events. Furthermore, principal component analysis shows a significant contribution from all the indices. For SPI, RDI, and PD, the first three principal components have more than 70% share, contributing 73.63%, 74.15%, and 72.30% respectively. By integrating drought patterns, long-term planning, and preparedness to mitigate drought impacts are only possible. The RDI was found more suitable and recommended in case of temperature data availability.

MeSH Term

Droughts
Meteorology
Pakistan
Temperature
Water Resources

Word Cloud

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