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A New Bayesian Netw...
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Raza, Muhammad AhmadDepartment of Statistics, Quaid-i-Azam University, Islamabad, Pakistan; Federal Urdu University, Arts, Sciences and Technology, Islamabad, Pakistan
(författare)
A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices
- Artikel/kapitelEngelska2023
Förlag, utgivningsår, omfång ...
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Hindawi Publishing Corporation,2023
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electronicrdacarrier
Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:ltu-97009
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https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-97009URI
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https://doi.org/10.1155/2023/8260317DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:ref swepub-contenttype
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Ämneskategori:art swepub-publicationtype
Anmärkningar
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Validerad;2023;Nivå 2;2023-05-04 (hanlid);Funder: Deanship ofScientifc Research at King Khalid University (RGP.2/23/44); Prince Sattam bin Abdulaziz University (PSAU/2023/R/1444);Part of special issue: Technologies-Based Advanced Machine Learning Models: Applications in Civil Engineering 2021
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Drought is one of the most multifaceted hydrologic phenomena, affecting several factors such as soil moisture, surface runoff, and significant water shortages. Therefore, monitoring and assessing drought occurrences based on a single drought index are inadequate. The current study develops a multiscalar weighted amalgamated drought index (MWADI) to amalgamate multiple drought indices. The MWADI is mainly based on the normalized average dependence posterior probabilities (ADPPs). These ADPPs are obtained from Bayesian networks (BNs)-based Markov Chain Monte Carlo (MCMC) simulations. Results have shown that the MWADI correlates more with the standardized precipitation index (SPI) and the standardized precipitation temperature index (SPTI). As proposed, the MWADI synthesizes drought characteristics of different multiscalar drought indices to reduce the uncertainty of individual drought indices and provide a comprehensive drought assessment.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Almazah, Mohammed M. A.Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Muhyil 61421, Saudi Arabia
(författare)
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Al-ansari, Nadhir,1947-Luleå tekniska universitet,Geoteknologi(Swepub:ltu)nadhir
(författare)
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Hussain, IjazDepartment of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
(författare)
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Al-Duais, Fuad S.Mathematics Department, College of Humanities and Science, Prince Sattam Bin Abdulaziz University, Al Aflaj, Saudi Arabia; Administration Department, Administrative Science College, Thamar University, Thamar, Yemen
(författare)
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Naser, Mohammed A.Department of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Muhyil 61421, Saudi Arabia
(författare)
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Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan; Federal Urdu University, Arts, Sciences and Technology, Islamabad, PakistanDepartment of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Muhyil 61421, Saudi Arabia
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Complexity: Hindawi Publishing Corporation1076-27871099-0526
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