A hybrid drought index for drought assessment in Wadi Shueib catchment area in Jordan
| Autor: | Richa Babbar, Odai Ibrahim Al Balasmeh, Tapas Karmaker |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Hydrology
Atmospheric Science geography geography.geographical_feature_category Index (economics) 010504 meteorology & atmospheric sciences 0207 environmental engineering 02 engineering and technology Geotechnical Engineering and Engineering Geology 01 natural sciences Environmental science Catchment area 020701 environmental engineering Wadi 0105 earth and related environmental sciences Civil and Structural Engineering Water Science and Technology |
| Zdroj: | Journal of Hydroinformatics. 22:937-956 |
| ISSN: | 1465-1734 1464-7141 |
| DOI: | 10.2166/hydro.2020.038 |
| Popis: | Wadi Shueib catchment in Jordan is a water stress area and climate change is creating a further deficiency in precipitation, streamflow, and soil moisture; which are a deterrent to agriculture production in the area. In order to analyze the drought-like situation in the area, a hybrid drought index (HDI) has been developed considering the combined effect of these three variables. Fuzzy analytical hierarchy process (F-AHP) and entropy weight methods were carried out to develop a hybrid drought index (HDI) which combines meteorological, hydrological, and agricultural drought indices based on precipitation, streamflow, and soil moisture data in the area. The wavelet transform (WT) with cross wavelet (XCT) and wavelet coherence (WTC) were applied to investigate the interaction and the relations between the HDI index, drought indices, and large-scale sunspot activity Niño3.4 index. The results show that HDI can easily capture the trend of the drought-like conditions in the area based on the available data. The trend analysis of HDI revealed an increasing trend in the drought incidences in the near future. The study can be used as an early alarm for drought in the area, which can be helpful in the decision-making process towards water resources planning and management in the future. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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