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Journal of Water and Climate Change
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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https://dx.doi.org/10.60692/dy...
Other literature type . 2023
Data sources: Datacite
https://dx.doi.org/10.60692/ap...
Other literature type . 2023
Data sources: Datacite
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Spatio-temporal drought assessment and comparison of drought indices under climatic variations in drought-prone areas of Pakistan

تقييم الجفاف المكاني والزماني ومقارنة مؤشرات الجفاف في ظل التغيرات المناخية في المناطق المعرضة للجفاف في باكستان
Authors: orcid bw Muhammad Bilal Ahmad;
Muhammad Bilal Ahmad
ORCID
Derived by OpenAIRE algorithms or harvested from 3rd party repositories

Muhammad Bilal Ahmad in OpenAIRE
Ali Muavia; orcid bw Mudassar Iqbal;
Mudassar Iqbal
ORCID
Derived by OpenAIRE algorithms or harvested from 3rd party repositories

Mudassar Iqbal in OpenAIRE
Abu Bakar Arshed; Muhammad Mansoor Ahmad;

Spatio-temporal drought assessment and comparison of drought indices under climatic variations in drought-prone areas of Pakistan

Abstract

Abstract Climatic variations cause droughts which badly affect the environment. The study focused on monitoring droughts to aid decision-making and mitigate their negative impacts on water availability for agriculture and livelihoods in the face of increasing water demand and climate change. To assess the agricultural droughts, a new agricultural Standardized Precipitation Index (aSPI) was calculated which is not used earlier in Balochistan. Widely recommended Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) were used for meteorological drought assessment. Drought indices comparison was also conducted to check the applicability. Rainfall, maximum temperature, and minimum temperature data (1992 to 2021) were utilized to calculate SPI, aSPI, and SPEI at different timescales (3, 6, 9, and 12 months) using DrinC software and SPEI calculator. Indices results revealed the following severe to extreme drought years: 1998, 1999, 2000, 2001, 2002, 2004, 2008, 2011, 2014, 2016, and 2017. It was determined that Dalbandin, Quetta, Sibi, Kalat, Khuzdar, and Zhob experienced higher extreme drought frequencies. Both long- and short-term drought durations were observed. Indices comparison showed that SPI is the most efficient drought index compared to aSPI and SPEI. This study offers valuable insights for managing water resources in the face of climate-induced droughts.

Keywords

Water resources, Water scarcity, Deficit Irrigation for Agricultural Water Management, Soil Moisture, Climate Change and Variability Research, Precipitation, aspi, spei, Environmental technology. Sanitary engineering, drought assessment, Agricultural and Biological Sciences, Livelihood, balochistan, Climate change, GE1-350, TD1-1066, Climatology, Global and Planetary Change, Evapotranspiration, Geography, Ecology, spi, Life Sciences, Agriculture, Geology, Water resource management, World Wide Web, Archaeology, Physical Sciences, Index (typography), Water Scarcity, Soil Science, climatic variations, Environmental science, Meteorology, Biology, Drought, indices comparison, FOS: Earth and related environmental sciences, Computer science, Environmental sciences, FOS: Biological sciences, Global Drought Monitoring and Assessment, Environmental Science

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