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Search: AMNE:(TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Geoteknik) > (2020-2024) > A new spatiotempora...

  • Niaz, RizwanStatistics, Quaid-i-Azam University, Islamabad, Punjab, Pakistan (author)

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

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-05-02
  • PeerJ,2022
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:ltu-90491
  • https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-90491URI
  • https://doi.org/10.7717/peerj.13249DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Validerad;2022;Nivå 2;2022-05-02 (joosat);Funder: Deanship of Scientific Research at King Saud University (1435-075)
  • 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 and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Iqbal, NoumanStatistics, 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 (author)
  • Al-Ansari, Nadhir,1947-Luleå tekniska universitet,Geoteknologi(Swepub:ltu)nadhir (author)
  • Hussain, IjazStatistics, Quaid-i-Azam University, Islamabad, Punjab, Pakistan (author)
  • Elsherbini Elashkar, ElsayedAdministrative Sciences Department, Community College, Riyadh, Saudi Arabia (author)
  • Shamshoddin Soudagar, SadafCollege of Business Administration, King Saud University, Riyadh, Saudi Arabia (author)
  • Gani, Showkat HussainBusiness Administration, College of Business Administration, King Saud University, Riyadh, Saudi Arabia (author)
  • Mohamd Shoukry, AlaaArriyadh Community College, King Saud University, Riyadh, Saudi Arabia; Workers University, KSA, Nsar, Egypt (author)
  • Sh. Sammen, SaadDepartment of Civil Engineering, College of Engineering, University of Diyala, Diyala Governorate, Iraq (author)
  • Statistics, Quaid-i-Azam University, Islamabad, Punjab, PakistanStatistics, 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 (creator_code:org_t)

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  • In:PeerJ: PeerJ102167-8359

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