TY - JOUR
T1 - A New Bayesian Network-Based Generalized Weighting Scheme for the Amalgamation of Multiple Drought Indices
AU - Raza, Muhammad Ahmad
AU - Almazah, Mohammed M.A.
AU - Al-Ansari, Nadhir
AU - Hussain, Ijaz
AU - Al-Duais, Fuad S.
AU - Naser, Mohammed A.
N1 - Publisher Copyright:
© 2023 Muhammad Ahmad Raza et al.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85158152557&partnerID=8YFLogxK
U2 - 10.1155/2023/8260317
DO - 10.1155/2023/8260317
M3 - Article
AN - SCOPUS:85158152557
SN - 1076-2787
VL - 2023
JO - Complexity
JF - Complexity
M1 - 8260317
ER -