Demand For Water Resources Research Articles

Sustainable Water Policymaking for the Hotel Industry: A Longitudinal Network Analysis of Policy Documents

Safeguarding water resources in tourism contributes to the achievement of the United Nations Sustainable Development Goals (SDGs) and to the wider 2030 Agenda for Sustainable Development. However, sustainable management of water, in order to address both current and future demand for water resources in an equitable and environmentally sound manner, is one of the most significant challenges faced by tourist destinations. Using a case study approach, this research conducts a social network analysis (SNA) of the water policymaking system of Singapore’s hotel industry by longitudinally examining the structure of relations among policy themes and policy stakeholders. The network approach attempts to examine the structural evolution in the water demand management (WDM) policy network based on an analysis of 329 (co)produced policy documents (2001–2020) available in the public domain. A broad range of policy themes, together with divergent policy stakeholders, are uncovered in this interconnected dynamic policy system. Subsequently, systematic policy research is extended to discuss the interrelationships of policy stakeholders and policy themes over the past 20 years. Our findings highlight the network structure of the policy domain and suggest an openness and vibrancy of sustainable WDM as an interdisciplinary policy domain. Cross-sectoral stakeholder engagement has contributed to the evolution and complexity of the policy theme network. The study’s findings provide significant insights into the relationships of policy actors and the evolving network structure of a multidimensional policy framework.

Coupling coordination analysis of resources, economy, and ecology in the Yellow River Basin

The development of the Yellow River Basin (YRB) has been constrained by resource utilization, ecological conservation, and economic growth. The aim of this study was to establish a theoretical framework for characterizing the relationships among resources, economy, and ecology in the YRB using panel data and remote sensing data from nine provinces in the basin from 2002 to 2022. Furthermore, a coupling coordination degree model and geographical detector model were used to evaluate the spatiotemporal coupling and relevant factors. Our findings were manifold. (1) The coupling coordination degree in the YRB and its provinces has improved to varying degrees, with upstream provinces showing stronger coordination than midstream and downstream provinces. (2) The most significant growth rates were observed during 2002–2006 and 2014–2018. However, a noticeable decline in the coupling coordination degree occurred during 2006–2010, indicating that ecological constraints and negative effects were pronounced when resource constraints were not apparent. (3) The average coupling coordination degree of resources, economy, and ecology in the YRB in 2022 was 0.684. Excellent coordination was observed in Shandong Province and Henan Province, and good coordination was observed in Shaanxi Province and Shanxi Province. (4) In the initial part of the study period, the water resource supply, demand, and allocation had strong effects on the coordination degree. Over time, the focus shifted from a single system to multiple systems, which increased the similarity in the explanatory power of different factors. Additionally, an in-depth analysis using the coupling coordination degree and relevant factors was conducted to characterize the policy orientations of different periods in the YRB. Policy recommendations were provided on the basis of the natural conditions and socio-economic conditions of the YRB. The findings of this study have implications for coupling coordination relationships and high-quality development in the YRB. Generally, our results provide key insights that will aid coordinated and sustainable regional development.

Research on Detection and Restoration Methods of Basic Operation Data for Inter-Basin Water Diversion Projects

Inter-basin water diversion is an essential means to alleviate the contradiction between the supply and demand of water resources, and accurate hydraulic modelling guarantees smooth operation. However, due to the increasing complexity of water diversion methods, structures, water conservancy facilities and equipment, it is difficult to obtain accurate and effective measured data to establish a model. Therefore, based on a data-driven method, this paper diagnoses and restores the important parameters of the water diversion projects, including the elevation of pipeline and water level data, which can be used to establish the adaptive hydraulic transition model of the water diversion projects. Firstly, the abnormal data of the elevation of pipeline were identified using expert data annotation and support vector classification (SVC), with the identification accuracy of abnormal data being as high as 91%. Then, the single and continuous abnormal data were restored using an interpolation method and multiple linear regression algorithm (MLR), and the restored data were found to be consistent with the judgment of expert knowledge. Secondly, K-medoids was used to classify the complex multi-dimensional water level data, combined with the 3-sigma method to identify the outliers in each class. The gradient boosting decision tree algorithm (GBDT) trained on normal data restored outliers in a predictive manner, and the mean absolute percentage error (MAPE) was 0.003%, 0.025% and 0.091% in each class, respectively, showing the best accuracy compared with other models.

Multi-objective optimization and demand variation analysis on a water energy food nexus system

The interdependence of water, energy, and food resources demands a holistic approach to sustainable resource management. This study focuses on the mathematical optimization of the water-energy-food nexus system in Sinaloa state, Mexico. Using a multi-objective optimization model, we aimed to identify optimal resource allocation strategies and assess the implications of demand variation scenarios in the domestic sector. By considering various scenarios, ranging from reduced to increased demand, the study analyzes the trade-offs between resource consumption, economic benefits, and environmental impacts. The results reveal Pareto fronts that provide insights into efficient resource allocation, highlighting the relationships between water, energy, and food demand. The study provides recommendations for policymakers and contributes to knowledge on water-energy-food nexus optimization, emphasizing the need for integrated approaches to support sustainable resource management.

Modelling the Carrying Capacity of Water Resources for Sustainable Water Ecology Using Vensim

Purpose: The purpose of this study is to address the growing challenges associated with water resources due to population growth, rapid economic expansion, and the imbalance between supply and demand. It aims to investigate the importance of water as a fundamental resource for ecological preservation and sustainable economic development.
 
 Design/Methodology/Approach: In this study, a comprehensive approach was taken to analyze water resources carrying capacity (WRCC) using the Vensim modeling tool. The research methodology involves considering the multifaceted roles of water resources within the complex ecological, environmental, societal, and economic systems, as well as their interrelationships with other system components.
 
 Findings: The findings of the study highlight the critical need for increasing investment in environmental protection and initiating new water storage projects to enhance the region's water resource carrying capacity. This research underscores the importance of sustainable water ecology in addressing the challenges posed by population growth and economic expansion.
 
 Research, Practical & Social Implications: This study has significant implications for research, practical applications, and societal well-being. It emphasizes the importance of understanding and managing water resources in a sustainable manner to ensure ecological health, economic development, and social progress. The findings can inform policy decisions and guide actions to address water resource challenges.
 
 Originality/Value: The originality and value of this study lie in its holistic approach to assessing WRCC and its consideration of the complex interactions between water resources, ecology, environment, society, and the economy. The research provides insights into the unique challenges faced by regions with increasing water resource demands and pollution and offers a modeling tool for measuring and enhancing water carrying capacity.

Research On the Distribution of Water and Electricity in Eastern Mother River Based on Multi-Objective Programming

This paper collected five states involved in the demand of water resources and hydropower resources, primarily hydrological conditions, lake Powell and lake mead. According to lake location, involves the basin and factors such as evaporation of lake Powell and mead lake water resources supply situation is analyzed, five states can get the final supply of water. Then, the water demand and daily water supply data of five states are used to solve the problem of the time to meet the fixed demand without additional water supply. The extra water supply is solved by considering the precipitation factor. Then, this paper solved the weight of different supply types in each state through Analytic Hierarchy Process to determine the water consumption priorities of five states and get the optimal allocation of different water types in each state. Finally, this paper ranks the water supply priority levels of five states and each industry in a state. The water supply scheme is given according to the priority levels.

Unveiling the inequalities in virtual water transfer in China: The environmental and economic perspectives

To alleviate the geographical mismatch between supply and demand of water resources, virtual water trade had attracted extensive attention. Many studies had estimated the virtual water flow and measured the virtual water inequality using Environmental Input-Output (EIO) model. However, EIO model ignores the feedback effect in the trade, which may lead an overestimation or underestimation of virtual water transfer. Moreover, while considering the relation between economic benefits and environmental costs, the studies of virtual water inequality are still limited in both number and methodology. Here, to address these gaps, we recalibrated the virtual water and value-added transfer in China's 30 provinces in 2017 using a new Environmental Spillover-Feedback Effects (ESFEs) model, and then measured the inequality between virtual water transfer and the resource endowments taking the value-added into account. Our results show that the virtual water transfer of half of provinces changed exceeding 50 %, with a maximum of 428 %. The ratio of net virtual water outflow to one-way virtual water inflow (which is called virtual water plunder index in this study) in Xinjiang is up to 935 %, which directly contributing to the inequality among regions. Moreover, the virtual water transfer in different regions is not compensated equally from the perspective of economy. As a result, some regions are getting both water resources and economic benefits, while others are getting the opposite. Our study highlights the importance of considering both the pressure on water resources and economic benefits when measuring the virtual water inequality. Our findings support policymakers in developing adequate responses, i.e., clarifying regional responsibilities of virtual water trade, building a whole industrial chain, and balancing the transfer of value-added and virtual water.

Analysis of Water Resource Supply and Demand Balance in High Standard Farmland Construction Projects

High standard farmland construction is an important measure to develop modern agriculture, increase grain production, and promote farmers' income growth in the context of rural revitalization. Based on the overview of water resources in the project area, crop planting structure, irrigation system, and quota, a detailed analysis is conducted on the available water supply and demand for irrigation, to explore whether the regional water resources can fully meet the needs of efficient and water-saving irrigation. The research results can provide detailed data support for project planning and construction, as well as reference for water resource balance analysis of similar projects in mountainous areas.

Construction and Application of a Water Resources Spatial Equilibrium Model: A Case Study in the Yangtze River Economic Belt

The Yangtze River Economic Belt, as crucial component of China’s “T-shaped” strategy for territorial development and economic layout, has been challenged by the unbalanced spatial distribution of water resources, which has seriously affected high-quality development in harmony with the social economy and ecological environmental protection. In this study, we aim to enhance the conceptual definition of water resource spatial equilibrium. Additionally, we propose a water resource spatial equilibrium evaluation model based on a variable set and partial connection number. This model effectively addresses the limitations of traditional methods by incorporating fuzzy indices and dynamic information, which have previously been overlooked. The spatiotemporal characteristics and future evolutionary trend of water resource spatial equilibrium were analyzed in 11 provinces and 110 cities in the Yangtze River Economic Belt from 1999 to 2018. The results showed that the conceptual definition of water resource spatial equilibrium involves the water resource endowment, water resource development, water resource utilization, water resource supply and demand, water resource matching, and water resource protection. The water resource spatial equilibrium in the 11 provinces gradually improved following a temporal trend; in terms of the spatial trend, the south was better than the north and the west was better than the east. These provinces were sorted as follows: Yunnan > Sichuan > Zhejiang > Jiangxi > Hunan Province > Guizhou > Hubei > Chongqing > Anhui > Jiangsu > Shanghai. The evolutionary trend increased except in Yunnan. The water resource spatial equilibrium of the 110 cities showed that the spatial trends of the three major urban agglomerations were much better than in the other regions, and the temporal trend steadily improved. The 11 provinces and 110 cities could be divided into three and five categories, respectively, according to their spatiotemporal trends. City-scale research on water resource spatial equilibrium can effectively identify and optimize the control area compared with using a provincial scale. When the control targets were set to 20%, 40%, 60%, and 80%, the proportion of the administrative area based on the city scale decreased by 1.20%, 4.99%, 10.52%, and 19.05%, respectively.

Fabrication of sputter coated Cu impregnated TaO[sbnd]NbO composite: A synchronized scavenging photocatalyst for water purification

Synchronized scavenging photocatalysts are needed for water purification due to the increasing demand for clean and safe water resources. The presence of organic pollutants and microorganisms in water sources can pose a significant risk to human health and the environment. This study compared the photocatalytic activity of the sputter-coated TaONbO and Cu-impregnated TaONbO/Cu nanocomposite with TiO2 (Degusa P-25) under solar radiation. The TaONbO/Cu and TaONbO nanocomposites crystallinity, structure and defects of composite, surface morphology, elemental composition and chemical state of material were evaluated by XRD, HRTEM, SEM, and XPS, respectively. Photoluminescence (PL) studies were employed to analyze the optical properties of the photocatalyst. The photocatalytic activity of TiO2, TaONbO/Cu and TaONbO was evaluated under solar radiation using P-Rosaniline Hydrochloride (PRH-Dye) as a model contaminant. IC and GC–MS were used to track the mineralized byproducts and intermediates produced during PRH-Dye degradation. The sputter-coated TaONbO/Cu photocatalyst was reused for up to 5 cycles, and no change in reaction kinetics was observed. This clearly indicates that TaONbO/Cu can be reused for several cycles. Using sputter-coated TaONbO/Cu photocatalysts enhanced performance compared to TiO2 and TaONbO. Using sputter-coated TaONbO/Cu photocatalysts to remove organic contamination from drinking water under solar radiation is a promising technology that can be a game-changer in the field of water treatment.

Enhancing the water quality of treated effluents from Wastewater Treatment Plants by mitigating emerging pollutants

With the increasing demand for water resources and growing environmental concerns, reclaimed water from wastewater treatment plants has gained prominence as an alternative water source for various non-potable applications. However, one of the major challenges in utilizing reclaimed water is the presence of emerging pollutants, which encompass a wide range of chemical and biological compounds not routinely monitored or regulated in conventional wastewater treatment processes.
 This study aims to address the pressing issue of emerging pollutants in reclaimed water by exploring and evaluating innovative strategies for their removal.
 Through a comprehensive literature review, cutting-edge technologies and advanced treatment methods will be assessed, focusing on their efficiency in eliminating a spectrum of emerging pollutants from treated effluents.
 Moreover, this research seeks to shed light on the potential risks associated with these emerging contaminants and their impact on human health and the environment.
 Ultimately, the finding from this study will contribute to the development of sustainable and effective approaches for enhancing the water quality of reclaimed water from wastewater treatment plants.by mitigating the presence of emerging pollutants, stakeholders can confidently promote the safe and reliable use of reclaimed water, thus fostering a more resilient and environmentally conscious water management paradigm.

Nature-inspired self-similar carbon nanotubes-nonwoven nanostructured materials for fog harvesting applications

Exponential rise in the global population, agriculture expansion, and the adverse effects of climate change are some of the primary drivers of the escalating demand for available water resources. The remarkable ability of organisms to endure in arid and semi-arid regions through their unique water collection systems serves as a source of inspiration for combating the freshwater crisis. Leveraging the design principles of the Salsola crassa plant, we report a strategy to recreate its structure by devising self-similar carbon nanotube-nonwoven nanostructured material with contrasting wetting regimes, seamlessly integrating the hydrophobic three-dimensional (3D) needlepunched nonwoven and an ensemble of weakly hydrophilic MWCNTs via vacuum filtration process. Through a carefully crafted combinatorial strategy that emphasises realising the utmost number of fibre-fibre contacts by downsizing the fibre diameter in nonwovens, forging the steep asymmetric wettability and enabling the fog interaction from the nonwoven side yielded an exemplary fog harvesting rate of 2167 mg cm−2 h−1 (∼520 L m−2 day−1) that outperforms the state-of-the-art nonwoven based materials. Further, the vital metrics of the 3D intricate porous structure of nonwoven materials have been deciphered using X-ray microcomputed analysis and correlated with their fog harvesting characteristics.

Optimizing the structure of food production in China to improve the sustainability of water resources

The conflict between the growing demand for food and limited water resources is intensifying. To further elucidate the relationship between food and water, we construct a water footprint life cycle assessment framework for food products and propose a modified algorithm for measuring a food's water footprint to assess the virtual water transfer between grain crops and animal products. To address the mismatch between regional water resources and food production, we propose a novel optimization model for food production structure, with both reducing water use and maintaining food security as its objectives. Using 2020 as an example, the analysis proposes an adjusted food production structure for China at national, regional, and provincial scales. The results show that 24.9 % of water consumed by grain crops is transferred to animal products through feed grain. The total water footprint of food production in China is 820.8 billion m3, with the blue water footprint accounting for 32.9 % of that total. The blue water footprint for food production in northern China is 161.8 billion m3, which is much larger than 108.2 billion m3 in southern China. Water scarcity is also greater in northern regions, which produce the majority of grain and animal products. Our optimization shows that a reasonable food production structure can balance water resources and food security by remarkably reducing China's total blue water footprint and increasing food production in the south while reducing production in certain northern provinces to ensure sustainable regional development.

Revealing Trade Potential for Reversing Regional Freshwater Boundary Exceedance.

Applying the planetary boundary for the freshwater framework at the regional level is important in supporting local water management but is subject to substantial uncertainty. Previous estimates have not fully investigated the potential of trade in mitigating regional freshwater boundary (RFB) exceedance. Here, we estimate RFB based on the average results of 15 different hydrological models to reduce uncertainty. We then propose a framework to divide the RFB exceedance/maintenance into contributions from both consumption and trade and further identify trade contribution into six types. We applied the framework to China's provinces, which are characterized by intensive interprovincial trade and a significant mismatch in water resource supply and demand. We found that the current trade pattern limits the role of trade to mitigate RFB exceedance. For the importing provinces exceeding RFBs, 78% of their imported goods and services came from other RFB exceeding provinces. Scenario analysis showed that relying on increased imports alone, even to its greatest extent, will not reverse RFB exceedance in most importing provinces. Increased imports, however, will have an aggregate effect on the trade partners, leading to the exceedance of the national freshwater boundary. We also found that promoting export of goods and services from non-RFB exceeding provinces and reducing their water intensity will help address the imbalance both locally and, in the aggregate, nationally.

Irrigation schedule impact on greenhouse gas mitigation, carbon sequestration, and yield improvement of double rice-cropping systems in southern China

The development of water-saving irrigation in paddy soils is crucial because of the increasing demand for water resources. There is a need to improve the understanding of water use strategies that save water and reduce greenhouse gas (GHG) emissions without causing yield losses in double rice-cropping systems. The current study was conducted to examine the net global warming potential (NGWP) and net greenhouse gas intensity (NGHGI) based on the net GHG emissions, including soil organic carbon (SOC) change and indirect emissions (IEs). An experiment was conducted under flood irrigation (FI), shallow irrigation (SI), and intermittent irrigation (II) conditions. The average double rice yields under the SI and II treatments were significantly higher than those under FI by 4.7% and 12.1%, respectively. The SI and II treatments could save 44% and 67% of irrigation water in the entire double-cropping rice-growing season, respectively. However, the SOC sequestration rate over 4 years was not significantly different among the three irrigation regimes. Compared to FI, the annual methane (CH4) emissions decreased by 34% and 45% under SI and II, respectively. In contrast, nitrous oxide (N2O) emissions under SI and II increased by 27% and 50%, respectively. IEs were nearly the same among the three irrigation regimes, with fertilizer use as the top contributor, and followed the order FI > SI > II. The NGWP and NGHGI decreased by 37% and 44%, respectively, under II compared to FI. In conclusion, water-saving irrigation strategies, especially the II practice, are an effective method that can simultaneously achieve great success in saving water, increasing rice production, and reducing GHG emissions.

Sustainable energy-water-food nexus integration and carbon management in eco-industrial parks

Today, resource depletion is a significant threat to society, exacerbated by the increasing demand for water, energy, and food resources driven by rapid population growth. Coupled with environmental conservation efforts, designing optimised and integrated Energy-Water-Food-Carbon nexus networks is increasingly essential. The objective of this study is to design a systematic approach to study the integration of the Energy-Water-Food-Carbon nexus within eco-industrial parks, uniquely focusing on the combination of the Energy-Water-Food nexus concept, constituting technology sub-systems, and carbon capture/utilisation processes. The resulting network superstructure representative of an industrial park and a case study in Qatar, consists of multiple sources and sinks, including, chemical processes (gas-to-liquid, methanol, ammonia, and liquified natural gas), desalination, wastewater treatment, representative food processes, biomass gasification, waste heat recovery and carbon capture units. Multiple scenarios are simulated and solved using the “what's Best” Mixed-Integer Global Solver to capture the synergic potential and trade-offs within resource management. The outcomes determine that the biomass driven and carbon capture utilisation scenarios are the most significant, which improve all emissions by 11.4% and 40%, respectively, while there was no significant change in the scenario of wastewater treatment and reuse. The total cost of the optimum solution after biomass utilisation is almost 3% more expensive compared to the base scenario. Furthermore, the waste heat utilisation scenario can potentially reduce a corresponding global warming potential amount of almost 1.55 × 104 Mt CO2-eq/yr for more efficient resource management.

Dynamic simulation of the water-energy-food nexus (WEFN) based on a new nexus in arid zone: A case study in Ningxia, China

‘Quantity-type’ water shortages and ‘quality-type’ water shortages are important factors that constrain the security and coordinated development of regional water-energy-food nexus (WEFN) system, especially in arid areas where water is scarce. Therefore, it is of great significance to accurately identify the coupling and mutual feedback effects of the WEFN on different types of water resources demand. This information can be used to understand the regional WEFN and alleviate pressure on regional water resources. In this study, a new relationship diagram of the WEFN system was formed with the incorporation of the water footprint (WF), which can characterize a system's water demand, water source type, water pollution amount and pollution type. Based on this nexus, a WEFN system feedback model suitable for arid regions was established using the system dynamics approach. Taking Ningxia, China, as a case study, six future scenarios were designed, and the development trends of the WEFN system under different development scenarios were simulated to explore the impact of different policies on the WEFN. Finally, practical suggestions to promote the synergistic development of WEFN systems were proposed. The results indicate that the rational distinction between ‘quantity-type’ and ‘quality-type’ water resources can effectively alleviate the regional water stress and promote the coordinated development of water, energy and food. And the water security is the main factor that constrains the coordinated development of the WEFN system in Ningxia. Incorporating water environmental pollution policies into the water subsystem is necessary. Furthermore, the resource saving scenario and energy production restructuring adjustment scenario can effectively alleviate the energy security problems that has resulted from rapid economic development. In addition, Ningxia urgently needs to optimize its food production structure to address a continuous reduction in the food security index.

Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system

Accurate prediction of river discharge is critical for a wide range of sectors, from human activities to environmental hazard management, especially in the face of increasing demand for water resources and climate change. To address this need, a multivariate model that incorporates both local and global data sources, including river and piezometer gauges, sea level, and climate parameters. By employing phase shift analysis, the model optimizes correlations between the target discharge and 12 parameters related to hydrologic and climatic systems, all sampled daily. In addition, a stacked LSTM - a more complex neural network architecture - is used to improve information extraction ability.Exploring river dynamics in the Loire-Bretagne basin and its surroundings, the investigation delves into predictions in daily time steps for one, three, and six months ahead. The resulting forecast features high accuracy and efficiency in predicting river discharge fluctuations, showcasing superior performance in forecasting drought periods over flood peaks. A detailed examination on data used highlights the significance of both local and global datasets in predicting river discharge, where the former dictates short-term predictions, while the latter drives long-range forecasts. Seasonally extended forecasting confirms a strong connection between the forecast leading time and the shift in data correlation, with lower correlation at a lag of 3 months due to seasonal changes affecting forecast quality, compensated by a higher correlation at a longer lag of 6 months. Such mutual effect in this multi-time-step forecasting improves the predictive quality of a six-month horizon, thus encourages progress in long-term prediction to a seasonal scale. The research establishes a practical foundation for effectively utilizing big data to leverage long-term forecasting of environmental dynamics.

Water desalination in Egypt; literature review and assessment

The increasing demand for water in urban and industrial areas in arid and semiarid coastal zones has led to the search for alternative nonconventional water resources.. Desalination plants are the most feasible solution to the huge water demand in arid regions, especially in Egypt, with its limited water resources of the Nile River and expected drought due to climate change and upstream dam construction. Many desalination technologies, such as thermal and membrane technologies, are used. Thermal desalination includes multistage flash desalination, multi-effect desalination, and desalination by vapor compression. Membrane desalination involves RO, forward osmosis, and electro dialysis. (RO) desalination plants are the most significant technique for desalinated water in Egypt. However, the treatment of brine wastewater is still a challenging problem. Hypersaline water effluent, as a byproduct of seawater desalination, has a negative impact on the marine ecosystem if it is discharged inadequately. In the past decade, Egypt has launched many large-scale projects along Red Sea and Mediterranean coasts to cope the recent economic growth. In this research a review of taxonomy of many related publications, and comparison has been made between the different seawater desalination techniques to determine the advantages and disadvantages of each of them, as well as to know the best technology that can be used in Egypt. The Egyptian state's plan to address the excessive demand for water resources as a result of the continuous population growth was reviewed by making a strategic plan for 30 years. It was divided into five-year plans, some parts of which have been completed, and the rest of the plan is being completed to present significant comparisons and enable the derivation of informative conclusions.

A LONG-TERM ESTIMATION AND MODELING OF DOMESTIC WATER RESOURCES IN THE YARMOUK RIVER BASIN-JORDAN

This paper presents an assessment of the supply and demand of domestic water resources in the Yarmouk River Basin-Jordan over a twenty-year period and a long-term estimate of domestic water use for the coming years through 2030. The basin was selected because of water-related problems ranging from management to water scarcity and overpopulation. These problems have increased pressure on the domestic water supply, thus the population’s demand for water far exceeds the water supply from internal wells, necessitating management actions to bridge the gap between domestic supply and demand. The method includes identifying the governorates, wells, cities, villages, and computing the population in the basin governorates. Domestic water demand was assessed on a per capita water basis in 1997 and 2017. An Autoregressive Integrated Moving Average (ARIMA) model was used to estimate usage behavior. The results showed an increase in the basin population from 0.64 to 1.53 million, more than doubling. Comparing the population demand with the internal water supply showed significant changes, as the increase in water use was remarkably high despite the decline in per capita water. ARIMA estimates a 2% increase in domestic use annually and 15% through 2030, challenging the future of water supplies. Water management actions will address this challenge, such as the inter-basins located outside the Yarmouk Basin, thus resolving supply shortage issues. These findings are important as a baseline for future studies, and can assist stakeholders in taking actions such as reviewing groundwater data, detecting illegal practices, water harvesting, and assessing non-revenue water.