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.

约旦的瓦迪舒伊布流域是一个缺水地区，气候变化使降水，水流和土壤水分进一步缺乏。这对当地的农业生产具有威慑作用。为了分析该地区类似干旱的情况，考虑了这三个变量的综合影响，制定了混合干旱指数（HDI）。运用模糊层次分析法（F-AHP）和熵权法来建立混合干旱指数（HDI），该指数基于该地区的降水，水流和土壤水分数据，结合了气象，水文和农业干旱指数。利用交叉小波（XCT）和小波相干（WTC）的小波变换（WT）研究了HDI指数，干旱指数，和大规模的黑子活动Niño3.4指数。结果表明，基于现有数据，HDI可以轻松捕获该地区类似干旱的趋势。人类发展指数的趋势分析显示，不久的将来干旱发生率呈上升趋势。该研究可以作为该地区干旱的预警，对未来水资源规划和管理的决策过程有帮助。