2020
DOI: 10.1080/16000870.2020.1736248
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A novel generalized combinative procedure for Multi-Scalar standardized drought Indices-The long average weighted joint aggregative criterion

Abstract: Drought hazards have complex climatic and spatio-temporal features. Therefore, its accurate monitoring is a challenging task in hydrological research. In recent, the use of standardized drought indices for drought monitoring is common in practice. However, the existence of several drought indices creates chaotic problems in data mining and decision making. This article presents a new weighting scheme for combining multiple drought indices. We propagated steady-state probabilities of Markov chain as weights in … Show more

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Cited by 9 publications
(3 citation statements)
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“…For example, Astore station has a SW condition, Bunji has ND, Gupis has SW while Chilas, Gilgit and Skardu have SD, ED and ND, respectively. For this scenario, the classes in each index (SPI, SPEI and SPTI) at different time scales were weighted by transient probabilities and steady-state probabilities (Ali et al, , 2020. Where the classes which received maximum weights among the indices concerning time scale and station had to select for their indices.…”
Section: Phase 4: the Swadi By Using A Weighting Scheme For Accumulatmentioning
confidence: 99%
“…For example, Astore station has a SW condition, Bunji has ND, Gupis has SW while Chilas, Gilgit and Skardu have SD, ED and ND, respectively. For this scenario, the classes in each index (SPI, SPEI and SPTI) at different time scales were weighted by transient probabilities and steady-state probabilities (Ali et al, , 2020. Where the classes which received maximum weights among the indices concerning time scale and station had to select for their indices.…”
Section: Phase 4: the Swadi By Using A Weighting Scheme For Accumulatmentioning
confidence: 99%
“…Recently, Niaz et al [97] proposed a weighting scheme based on steady-state probabilities for selecting classes among the three indices (SPI, SPEI, and SPI). ese indices are correlated for a one-month time scale and present similar information for the six stations in the northern areas [85,96,117]. e mathematical detail of the weighting scheme is available in [76].…”
Section: Resultsmentioning
confidence: 99%
“…Under certain circumstances, some recent developments include Seasonally Combinative Regional Drought Indicator (SCRDI) (Ali et al, 2020c), Regionally Improved Weighted Standardized Drought Index (RIWSDI) (Jiang et al, 2020), Multi-Scalar Aggregative Standardized Precipitation Temperature Index (MASPTI) (Ali et al, 2020b), Probabilistic Weighted Joint Aggregative Index (PWJADI) (Ali et al, 2019a) and Long Averaged Weighted Joint Aggregative Criterion (LAWJAC) (Ali et al, 2020a).…”
Section: Introductionmentioning
confidence: 99%