This article introduces a groundwater vulnerability assessment model that utilises the fuzzy analytic hierarchy process (FAHP) in the Wadi AlHasa catchment, Jordan. The assessment takes into account both geomorphological and hydrogeological variables, employing a comprehensive methodology that integrates various parameters. To evaluate the catchment, the study employs remote sensing and Geographic Information System (GIS) techniques. The analysis of the digital elevation model enables the creation of a map illustrating the diverse geomorphology of the catchment. This geomorphology significantly influences drainage density, direction, and the spatial distribution and intensity of flash flood events. Moreover, the study develops and maps a fuzzy FAHP DRASTIC vulnerability index, which proves to be a valuable tool for assessing the susceptibility of groundwater resources to contamination. The unique feature of the index is its ability to incorporate uncertain or subjective data, providing a means to evaluate the significance of various influencing factors. This information serves as critical support for decision-making and management efforts geared towards safeguarding and enhancing groundwater resources. Within the study area, the DRASTIC vulnerability index values span from 0.08325 to 0.28409, with 18% of the site exhibiting a high vulnerability rate. Additionally, the article implements a managed aquifer recharge model (MAR), with 31% of the area falling into MAR classes. Among these, 22.1% are classified as a high MAR class, while 0.7% belong to a very high MAR class. These findings underscore the feasibility of MAR projects in regions with limited water resources.
Climate change is determined as a severe threat to water resource availability in Semi-Arid Areas. Therefore, it is crucial to examine the drought trends to develop and sustain water resources. This study evaluates the effects of climate change in Jordan by investigating the long-term precipitation trends in the Amman Zarqa Basin over the water from 1971 to 2016. Daily precipitation data were gathered to analyze different rainfall stations over and around the basin. The standardized precipitation index (SPI) variations were investigated at monthly intervals. Control charts, hypothesis testing, T-test, differences of variances, and trend analysis were used to determine climatic trends. The analysis results showed that 2003 marks an acceleration point in the precipitation decrease rate; therefore, the SPI showed a decrease and a high DI for the area in the tested year 2005 and 2010 to be a mild drought in the following years. Additionally, a change in the precipitation pattern was observed as seasonal precipitation contribution varied for the pre-2003 period compared to the post-2003 period. The SPI results show that 1995 reflects the higher drought periods, and the following years showed mild drought events; nevertheless, the year 2016 displayed lower drought events, reflecting wet events.
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