Spatiotemporal analysis of meteorological drought variability in a homogeneous region using standardized drought indices
| Autor: | Rizwan Niaz, Mohammed M. A. Almazah, Fuad S. Al-Duais, Nouman Iqbal, Dost Muhammad Khan, Ijaz Hussain |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Standardized drought index (SPI)
steady-state probabilities homogenous region two-stage standardized weighting scheme joint agglomerative drought Index spatiotemporal weights Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Risk in industry. Risk management HD61 |
| Zdroj: | Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 1457-1481 (2022) |
| Druh dokumentu: | article |
| ISSN: | 19475705 1947-5713 1947-5705 |
| DOI: | 10.1080/19475705.2022.2079429 |
| Popis: | Drought is one of the most common climatic or meteorological hazards and has spatiotemporal characteristics that substantially impact the livelihoods and economy worldwide. Therefore, there is a need for efficient procedures that accurately identify spatiotemporal variability. Moreover, it is crucial to continuously assess and monitor spatiotemporal drought occurrence in a certain region to prevent unfavourable impacts. For this purpose, the current study develops a new procedure for spatiotemporal analysis of the region: The Spatio-Temporal Weighted Joint Agglomerative Drought Index (STWJADI). The STWJADI is mainly based on a weighting scheme known as the Spatio-Temporal Two-Stage Standardized Weighting Scheme (STTSSWS). In the first stage of the STTSSWS, the steady-state probabilities are computed for several stations (Astor, Bunji, Chilas, Gupis, Skardu, and Gilgit) of the Northern region of Pakistan at a 1-month time scale (scale-1) to allocate weights for various drought classes. Moreover, in the second stage of the STTSSWS, the weights are allocated based on spatiotemporal weighting characteristics to acquire new weights for the numerous drought classes in the designated region. Further, the spatiotemporal weights attained from STTSSWS are utilized to compute the STWJADI. The outcomes of the STWJADI provide efficient and comprehensive information for drought characterization in the selected region. |
| Databáze: | Directory of Open Access Journals |
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