Assessing the Probability of Drought Severity in a Homogeneous Region

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Fältnamn	Indikatorer	Metadata
000		03844naa a2200421 4500
001		oai:DiVA.org:ltu-89093
003		SwePub
008		220202s2022 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-890932 URI
024	7	a https://doi.org/10.1155/2022/31398702 DOI
040		a (SwePub)ltu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Niaz, Rizwanu Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan4 aut
245	1 0	a Assessing the Probability of Drought Severity in a Homogeneous Region
264	1	a UK :b Hindawi Publishing Corporation,c 2022
338		a electronic2 rdacarrier
500		a Validerad;2022;Nivå 2;2022-02-03 (johcin);Funder: King Khalid University (RGP.2/4/43)
520		a The standardized precipitation index (SPI) is one of the most widely used indices for characterizing and monitoring drought in various regions. SPI's applicability has regional and time-scale constraints when it observes in several homogeneous climatic regions with similar characteristics. It also does not provide sufficient knowledge about precipitation deficits and the spatiotemporal evolution of drought. Therefore, a new method, the regional spatially agglomerative continuous drought probability monitoring system (RSACDPMS), is proposed to obtain spatiotemporal information and monitor drought characteristics more expeditiously. The proposed framework uses spatially agglomerative precipitation (SAP) and copulas’ functions to continuously monitor the drought probability in the homogenous region. The RSACDPMS is validated in the region of the Northern area of Pakistan. The outcomes of the current study provide a better quantitative way to obtain appropriate information about precipitation deficits and the spatiotemporal evolution of drought.
650	7	a NATURVETENSKAPx Geovetenskap och miljövetenskapx Oceanografi, hydrologi och vattenresurser0 (SwePub)105092 hsv//swe
650	7	a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Oceanography, Hydrology and Water Resources0 (SwePub)105092 hsv//eng
653		a Homogeneous Region
653		a Drought
653		a Geoteknik
653		a Soil Mechanics
700	1	a Almazah, Mohammed M. A.u Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Abha 61421, Saudi Arabia; Department of Mathematics and Computer, College of Sciences, Ibb University, Ibb 70270, Tudun Wada, Nigeria4 aut
700	1	a Hussain, Ijazu Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan4 aut
700	1	a Filho, Joao Dehon Pontesu Hydraulic and Environmental Engineering Department (DEHA), Federal University of Ceará, Fortaleza, Ceará 60020-181, Brazil4 aut
700	1	a Al-Ansari, Nadhir,d 1947-u Luleå tekniska universitet,Geoteknologi4 aut0 (Swepub:ltu)nadhir
700	1	a Sammen, Saad Shu Department of Civil Engineering, College of Engineering, University of Diyala, Diyala Governorate, Baqubah, Iraq4 aut
710	2	a Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistanb Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Abha 61421, Saudi Arabia; Department of Mathematics and Computer, College of Sciences, Ibb University, Ibb 70270, Tudun Wada, Nigeria4 org
773	0	t Complexityd UK : Hindawi Publishing Corporationg 2022q 2022x 1076-2787x 1099-0526
856	4	u https://ltu.diva-portal.org/smash/get/diva2:1634284/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856	4	u https://downloads.hindawi.com/journals/complexity/2022/3139870.pdf
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-89093
856	4 8	u https://doi.org/10.1155/2022/3139870

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