Following the impact of droughts witnessed during the last decade there is an urgent need to develop a drought management strategy, policy framework, and action plan for Jordan. This study aims to provide a historical baseline using the standardized precipitation index (SPI) and meteorological drought maps, and to investigate the spatial and temporal trends using long-term historical precipitation records. Specifically, this study is based on the statistical analysis of 38 years of monthly rainfall data, gathered from all 29 meteorological stations that cover Jordan. The Mann–Kendall test and linear regression analysis were used to uncover evidence of long-term trends in precipitation. Drought indices were used for calculating the meteorological SPI on an annual (SPI12), 6-months (SPI6), and 3-months basis (SPI3). At each level, every drought event was characterized according to its duration, interval, and intensity. Then, drought maps were generated using interpolation kriging to investigate the spatial extent of drought events, while drought patterns were temporally characterized using multilinear regression and spatial grouped using the hierarchical clustering technique. Both annual and monthly trend analyses and the Mann–Kendall test indicated significant reduction of precipitation in time for all weather stations except for Madaba. The rate of decrease is estimated at approximately 1.8 mm/year for the whole country. The spatial SPI krig maps that were generated suggest the presence of two drought types in the spatial dimension: Local and national. Local droughts reveal no actual observed trends or repeatable patterns of occurrence. However, looking at meteorological droughts across all time scales indicated that Jordan is facing an increasing number of local droughts. With a probability of occurrence of once every two years to three years. On the other hand, extreme national droughts occur once every 15 to 20 years and last for two or more consecutive years. Linear trends indicated significant increase in drought magnitude by time with a rate of 0.02 (p < 0.0001). Regression analysis indicated that draught in Jordan is time dependent (p < 0.001) rather than being spatially dependent (p > 0.99). Hierarchical clustering was able to group national draughts into three zones, namely the northern zone, the eastern zone, and the southern zone. This study highlights the urgent need for a monitoring program to investigate local and national drought impacts on all sectors, as well as the development of a set of proactive risk management measures and preparedness plans for various physiographic regions.

Water scarcity is one of the largest global risks in terms of potential impact over the next decade as it affects every continent is manifested by partial or no satisfaction of expressed demand, economic competition for water quantity or quality, disputes between users, irreversible depletion of groundwater, and negative impacts on the environment. Jordanian water crises are exacerbating all of the time due to increased water demands derived from high population growth, sudden fluxes of refugees, economic development, and increased frequency of drought events. These forces stress the urgent need to develop drought adaptation planning based on vulnerability mapping correlated to prolonged weather events. The objective of this research is thus to generate a drought vulnerability map with an emphasis on the severity and probability of drought occurrence, and to propose adaption measures based on groundwater sector impact chain analysis by incorporating numerical scorings for exposure, sensitivity, and adaptive capacities at groundwater basin and Jordanian district levels. Drought impacts on groundwater basins were investigated based on measurements of severity and probability of drought occurrence, and drought exposure over the whole country computed by means of a combined drought index (CDI) that included the precipitation drought index, temperature drought index, and vegetation drought index from 1980 to 2017. Results indicated that drought in Jordan is characterised by a temporal and spatial variability regarding probability and severity. The most prolonged drought events range from mild to moderate, with long periods of exposure that may extend for up to 13 consecutive years. Due to high groundwater basin sensitivity and low adaptive capacity, the groundwater systems in Jordan are fragile and highly vulnerable to drought impacts, being subject to either reduction in quantity and/or deterioration in quality over time. The most vulnerable groundwater basins are the Azraq and Dead Sea regions, while Disi and Yarmouk are also highly vulnerable groundwater basins based on the weak enforcement of transboundary agreements. The proposed drought risk management system based on this research includes proactive and contingency plans enabled by policies and legal frameworks at the national level to ensure sustainable water resilience and governance.

Drought Vulnerability and Mitigation Measures in Jordan based on Spatio-temporal Assessment of Single and Composite Meteorological Drought Indices. Ph.D. Dissertation by; Haitham AlAdaileh Supervisor; Dr. Barta Károly, PhD and Prof. Dr. Rakonczai János Abstract Long monthly data (1980-2017) of rainfall, air temperature, vegetation index, and barely production data were collected and implemented to investigate drought in Jordan. Twenty-nine weather stations across the country were used as a reference for generating interpolation maps. The drought was assessed using various drought indicators; SPI, PDI, TDI, VDI, and CDI at various timescales of 12, 6, 3, and 2 months. The CDI was further used to correlate with barely production to assess the applicability for crop monitoring. Also, the CDI was implemented in groundwater vulnerability assessment in Jordan. Jordan experienced significant annual rainfall reduction trends ranging from 0.01 to 5.2 mm/year. The trend's significance and reduction rates were related to both the geographic locations and stational altitudes. Jordan highlands seem to be most affected by the reduction followed by Jordan Rift Valley and the desert region. The rainfall reduction was highly obvious at both March and November with distinct rainfall shifts at both sides of the wet season (i.e. September and May). Drought spatial and temporal assessments using 29 weather stations from 1980 till 2017 indicted that Jordan experienced periodic cycles of drought with various severity and frequency. The use of drought indicators enabled the investigation for the drought event’s characteristics. The standardized precipitation index provided a clear tool to indicate drought frequency and magnitude trends that appeared to be once every two to three years with a significant increase rate of occurrence. Although SPI12 is less effective in providing a clear understanding of the rainfall shifts and monthly reduction as compared to SPI3, however, it provides a general indication of the droughts, especially if was coupled with the Krig interpolation technique. The generated drought krig maps revealed the presence of two drought trends; local and national. With the implicitly of statistical tools as cluster analyses, three main regions of droughts were grouped in terms of severity holding similar micro-climatological conditions; northern, eastern, and southern.

The study investigates the economic feasibility and farmer acceptance of utilizing treated wastewater (TWW) for agricultural irrigation, particularly in the Northern Jordan Valley. Despite its potential to mitigate water scarcity, concerns persist regarding its impact on soil health, crop yield, and land utilization, hindering widespread adoption. The research aims to measure farm profitability and farmers' willingness to embrace TWW through various blending scenarios with traditional surface water sources. The yield response function to salinity was incorporated into profit function to simulate crop profitability and water values. Results indicate that the introduction of TWW negatively affects salt-sensitive crops like citrus but positively impacts others such as date palm, olives, tomatoes, and peppers due to increased fertilizer content in irrigation water. Economic performance indicators reveal a gradual decrease in water net productivity for citrus with increasing blending ratios of TWW, with the water value decreasing accordingly. Higher percentages of treated water do not consistently lead to increased productivity, profitability, or net value added, emphasizing the need for careful consideration and understanding of economic risks associated with specific crops and water quality. To mitigate the impact of water salinity on citrus production, growers are advised to improve soil quality, periodically flush the soil with low-salinity water, and use salt-tolerant rootstocks. Regular monitoring of soil and water salinity levels is crucial for informed decision-making. While using TWW, water may offer cost savings.