A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices
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 multisc...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2023/8260317 |
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| author | Muhammad Ahmad Raza Mohammed M. A. Almazah Nadhir Al-ansari Ijaz Hussain Fuad S. Al-Duais Mohammed A. Naser |
| author_facet | Muhammad Ahmad Raza Mohammed M. A. Almazah Nadhir Al-ansari Ijaz Hussain Fuad S. Al-Duais Mohammed A. Naser |
| author_sort | Muhammad Ahmad Raza |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8c8fecffad6746299104287b7012aa59 |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-8c8fecffad6746299104287b7012aa592025-02-03T01:30:23ZengWileyComplexity1099-05262023-01-01202310.1155/2023/8260317A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought IndicesMuhammad Ahmad Raza0Mohammed M. A. Almazah1Nadhir Al-ansari2Ijaz Hussain3Fuad S. Al-Duais4Mohammed A. Naser5Department of StatisticsDepartment of MathematicsDepartment of CivilDepartment of StatisticsMathematics DepartmentDepartment of MathematicsDrought 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.http://dx.doi.org/10.1155/2023/8260317 |
| spellingShingle | Muhammad Ahmad Raza Mohammed M. A. Almazah Nadhir Al-ansari Ijaz Hussain Fuad S. Al-Duais Mohammed A. Naser A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices Complexity |
| title | A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices |
| title_full | A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices |
| title_fullStr | A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices |
| title_full_unstemmed | A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices |
| title_short | A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices |
| title_sort | new bayesian network based generalized weighting scheme for the amalgamation of multiple drought indices |
| url | http://dx.doi.org/10.1155/2023/8260317 |
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