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A new spatiotemporal two-stage standardized weighted procedure for regional drought analysis

Niaz, Rizwan (author)
Statistics, Quaid-i-Azam University, Islamabad, Punjab, Pakistan
Iqbal, Nouman (author)
Statistics, Quaid-i-Azam University, Islamabad, Punjab, Pakistan; Knowledge unit of business Economics accountancy and Commerce (KUBEAC), University of management and technology Sialkot campus, Sialkot, Pakistan
Al-Ansari, Nadhir, 1947- (author)
Luleå tekniska universitet,Geoteknologi
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Hussain, Ijaz (author)
Statistics, Quaid-i-Azam University, Islamabad, Punjab, Pakistan
Elsherbini Elashkar, Elsayed (author)
Administrative Sciences Department, Community College, Riyadh, Saudi Arabia
Shamshoddin Soudagar, Sadaf (author)
College of Business Administration, King Saud University, Riyadh, Saudi Arabia
Gani, Showkat Hussain (author)
Business Administration, College of Business Administration, King Saud University, Riyadh, Saudi Arabia
Mohamd Shoukry, Alaa (author)
Arriyadh Community College, King Saud University, Riyadh, Saudi Arabia; Workers University, KSA, Nsar, Egypt
Sh. Sammen, Saad (author)
Department of Civil Engineering, College of Engineering, University of Diyala, Diyala Governorate, Iraq
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 (creator_code:org_t)
2022-05-02
2022
English.
In: PeerJ. - : PeerJ. - 2167-8359. ; 10
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Drought is a complex phenomenon that occurs due to insufficient precipitation. It does not have immediate effects, but sustained drought can affect the hydrological, agriculture, economic sectors of the country. Therefore, there is a need for efficient methods and techniques that properly determine drought and its effects. Considering the significance and importance of drought monitoring methodologies, a new drought assessment procedure is proposed in the current study, known as the Maximum Spatio-Temporal Two-Stage Standardized Weighted Index (MSTTSSWI). The proposed MSTTSSWI is based on the weighting scheme, known as the Spatio-Temporal Two-Stage Standardized Weighting Scheme (STTSSWS). The potential of the weighting scheme is based on the Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and the steady-state probabilities. Further, the STTSSWS computes spatiotemporal weights in two stages for various drought categories and stations. In the first stage of the STTSSWS, the SPI, SPEI, and the steady-state probabilities are calculated for each station at a 1-month time scale to assign weights for varying drought categories. However, in the second stage, these weights are further propagated based on spatiotemporal characteristics to obtain new weights for the various drought categories in the selected region. The STTSSWS is applied to the six meteorological stations of the Northern area, Pakistan. Moreover, the spatiotemporal weights obtained from STTSSWS are used to calculate MSTTSSWI for regional drought characterization. The MSTTSSWI may accurately provide regional spatiotemporal characteristics for the drought in the selected region and motivates researchers and policymakers to use the more comprehensive and accurate spatiotemporal characterization of drought in the selected region.

Subject headings

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Klimatforskning (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Climate Research (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Geoteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Geotechnical Engineering (hsv//eng)

Keyword

Spatiotemporal
Steady-state probabilities
Homogenous region
Meteorological stations
Standardized weighting scheme
Drought monitoring
Soil Mechanics
Geoteknik

Publication and Content Type

ref (subject category)
art (subject category)

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