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1. Developing a Multicriteria Decision Analysis Framework to Evaluate Reclaimed Wastewater Use for Agricultural Irrigation: The Case Study of Maryland

   https://doi.org/10.3390/hydrology8010004  

   Paul, Manashi; Negahban-Azar, Masoud; Shirmohammadi, Adel; Montas, Hubert (March 2021, Hydrology)

   null (Ed.)

   Groundwater is the main source of irrigation and residential use in the Eastern Shore Maryland, which is experiencing challenges regarding overuse, saltwater intrusion, and diminishing productivity. The Chesapeake Bay is also facing the problem of water pollution due to pollutant loading from agricultural fields and wastewater treatment plants (WWTPs). Using recycled water for irrigation has the potential to alleviate the pressure on groundwater and reduce pollutant loading. The objective of this study was to develop a decision tool to explore the use of recycled water for agricultural irrigation in Maryland using Multicriteria Decision Analysis (MCDA) integrated with Geographical Information Systems (GIS). Four main evaluation criteria were included in the GIS-MCDA framework: agricultural land cover, climate, groundwater vulnerability, and characteristics of the WWTPs as sources of recycled water. Groundwater vulnerability zones were developed using the groundwater well density, water extraction data, and the aquifer information. Then, the most suitable areas for irrigation using recycled water were identified. About 13.5% and 32.9% of agricultural land was, respectively, found to be “highly” and “moderately” suitable for irrigation with recycled water when WWTPs were categorized based on their treatment process information. The results provide a useful decision tool to promote the use of recycled water for agricultural irrigation. 

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2. Global drivers and local management of groundwater stress: a high-resolution economic analysis of land, water, and food systems

   https://doi.org/10.1088/1748-9326/adf909  

   Haqiqi, Iman; Hertel, Thomas W; Srikanth, Kavitha (August 2025, Environmental Research Letters)

   Abstract Groundwater stress, a critical challenge for global water security and food production, has intensified due to the interaction of global change drivers and rapidly evolving local conditions. This paper investigates the individual and combined impacts of water availability, heat, population growth, income dynamics, and technological advancements on global groundwater stress over a historical period from 1997 to 2017. Utilizing the gridded Simplified International Model of agricultural Prices, Land use, and the Environment (SIMPLE-G), the study attributes local changes in water and land use patterns to these key global drivers. Furthermore, it evaluates an alternative, counterfactual scenario in which sustainable management interventions for groundwater resources are implemented over these two historical decades. The analysis quantifies the historical contribution of each global change driver to local groundwater stress and measures the economic benefits of a scenario in which groundwater extraction caps and improved technology adoption began in 1997. We find that implementing a groundwater extraction cap combined with irrigation investment beginning in 1997 could have reduced global groundwater withdrawals by more than 34% by 2017, preserving over 5 trillion cubic meters of groundwater in aquifers, with the greatest reductions occurring in South Asia and the Western United States. This study contributes to the local-global analysis of the effects of global socio-economic drivers on earth systems through high-resolution, scenario-based modeling. 

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3. Agricultural Irrigation Effects on Hydrological Processes in the United States Northern High Plains Aquifer Simulated by the Coupled SWAT-MODFLOW System

   https://doi.org/10.3390/w14121938  

   Dangol, Sijal; Zhang, Xuesong; Liang, Xin-Zhong; Miralles-Wilhelm, Fernando (June 2022, Water)

   Groundwater use for irrigation has a major influence on agricultural productivity and local water resources. This study evaluated the groundwater irrigation schemes, SWAT auto-irrigation scheduling based on plant water stress (Auto-Irr), and prescribed irrigation based on well pumping rates in MODFLOW (Well-Irr), in the U.S. Northern High Plains (NHP) aquifer using coupled SWAT-MODFLOW model simulations for the period 1982–2008. Auto-Irr generally performed better than Well-Irr in simulating groundwater irrigation volume (reducing the mean bias from 86 to −30%) and groundwater level (reducing the normalized root-mean-square-error from 13.55 to 12.47%) across the NHP, as well as streamflow interannual variations at two stations (increasing NSE from 0.51, 0.51 to 0.55, 0.53). We also examined the effects of groundwater irrigation on the water cycle. Based on simulation results from Auto-Irr, historical irrigation led to significant recharge along the Elkhorn and Platte rivers. On average over the entire NHP, irrigation increased surface runoff, evapotranspiration, soil moisture and groundwater recharge by 21.3%, 4.0%, 2.5% and 1.5%, respectively. Irrigation improved crop water productivity by nearly 27.2% for corn and 23.8% for soybean. Therefore, designing sustainable irrigation practices to enhance crop productivity must consider both regional landscape characteristics and downstream hydrological consequences. 

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4. Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study

   https://doi.org/10.5194/hess-25-787-2021  

   Reinecke, Robert; Müller Schmied, Hannes; Trautmann, Tim; Andersen, Lauren Seaby; Burek, Peter; Flörke, Martina; Gosling, Simon N.; Grillakis, Manolis; Hanasaki, Naota; Koutroulis, Aristeidis; et al (January 2021, Hydrology and Earth System Sciences)

   null (Ed.)

   Abstract. Billions of people rely on groundwater as being an accessible source of drinking water and for irrigation, especially in times of drought. Its importance will likely increase with a changing climate. It is still unclear, however, how climate change will impact groundwater systems globally and, thus, the availability of this vital resource. Groundwater recharge is an important indicator for groundwater availability, but it is a water flux that is difficult to estimate as uncertainties in the water balance accumulate, leading to possibly large errors in particular in dry regions. This study investigates uncertainties in groundwater recharge projections using a multi-model ensemble of eight global hydrological models (GHMs) that are driven by the bias-adjusted output of four global circulation models (GCMs). Pre-industrial and current groundwater recharge values are compared with recharge for different global warming (GW) levels as a result of three representative concentration pathways (RCPs). Results suggest that projected changes strongly vary among the different GHM–GCM combinations, and statistically significant changes are only computed for a few regions of the world. Statistically significant GWR increases are projected for northern Europe and some parts of the Arctic, East Africa, and India. Statistically significant decreases are simulated in southern Chile, parts of Brazil, central USA, the Mediterranean, and southeastern China. In some regions, reversals of groundwater recharge trends can be observed with global warming. Because most GHMs do not simulate the impact of changing atmospheric CO2 and climate on vegetation and, thus, evapotranspiration, we investigate how estimated changes in GWR are affected by the inclusion of these processes. In some regions, inclusion leads to differences in groundwater recharge changes of up to 100 mm per year. Most GHMs with active vegetation simulate less severe decreases in groundwater recharge than GHMs without active vegetation and, in some regions, even increases instead of decreases are simulated. However, in regions where GCMs predict decreases in precipitation and where groundwater availability is the most important, model agreement among GHMs with active vegetation is the lowest. Overall, large uncertainties in the model outcomes suggest that additional research on simulating groundwater processes in GHMs is necessary. 

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5. Competition for water induced by transnational land acquisitions for agriculture

   https://doi.org/10.1038/s41467-022-28077-2  

   Chiarelli, Davide Danilo; D’Odorico, Paolo; Müller, Marc F.; Mueller, Nathaniel D.; Davis, Kyle Frankel; Dell’Angelo, Jampel; Penny, Gopal; Rulli, Maria Cristina (December 2022, Nature Communications)

   Abstract The ongoing agrarian transition from smallholder farming to large-scale commercial agriculture promoted by transnational large-scale land acquisitions (LSLAs) often aims to increase crop yields through the expansion of irrigation. LSLAs are playing an increasingly prominent role in this transition. Yet it remains unknown whether foreign LSLAs by agribusinesses target areas based on specific hydrological conditions and whether these investments compete with the water needs of existing local users. Here we combine process-based crop and hydrological modelling, agricultural statistics, and georeferenced information on individual transnational LSLAs to evaluate emergence of water scarcity associated with LSLAs. While conditions of blue water scarcity already existed prior to land acquisitions, these deals substantially exacerbate blue water scarcity through both the adoption of water-intensive crops and the expansion of irrigated cultivation. These effects lead to new rival water uses in 105 of the 160 studied LSLAs (67% of the acquired land). Combined with our findings that investors target land with preferential access to surface and groundwater resources to support irrigation, this suggests that LSLAs often appropriate water resources to the detriment of local users. 

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