Sustainable Water Source Research Articles

Air moisture harvesting in soil for indoor agriculture: A comparative study of moisture dynamics in shallow porous beds

Indoor farming can mitigate water scarcity, declining crop yields, and excessive chemical use in agriculture. However, it demands innovative solutions to reach its full potential. This paper presents a novel indoor plant cultivation technique that leverages atmospheric moisture. Shallow soil bed cooling from below can induce condensation within the soil pores, providing a sustainable water source for plant growth. We tested this method on wheat seed cultivation, observing a 40% growth increase in seedlings with cooled soil beds. We conducted a detailed study of moisture dynamics in porous sand beds to understand the underlying mechanisms of this technique. Choosing sand as a medium isolated the effects of porosity, temperature, and capillary action on moisture condensation. Sand's inertness allows a concentrated analysis of moisture dynamics without interference from chemical reactions or microbial activity. Experiments with cooled sand of varying particle sizes showed moisture condensation levels of 0.025, 0.042, and 0.092 kg/kg for coarse, fine, and superfine sand over 11 days. In soil, moisture reached 0.124 kg/kg over 22 days, highlighting the impact of porosity, temperature, and capillary forces. Our findings reveal exponential moisture increase over time and a linear relationship between bed water content and specific heat. The method is practical and adaptable, especially for remote locations and arid regions, as renewable energy sources can power it. This approach could revolutionize indoor agriculture, particularly in controlled environment systems. Controlling soil temperature can optimize growth conditions, increase yields, and minimize environmental impact. It offers versatility and scalability for various crops and systems.

Design and Implementation of Solar-Powered Pumping System in IKN Nusantara Area

Solar-powered pumping systems are an alternative to providing a sustainable and independent water source. This system declines the dependency on fossil fuels, which generate no greenhouse gas emissions while operating. This paper presents the design, implementation, and performance testing of a solar-powered submersible water pump in Bumi Harapan and Bukit Raya Village to provide a supplementary water source for residents. To meet the daily water supply requirement of 10 m3 in two identical water towers, a 1.1 kW rated power water pump and a 2.2 kW photovoltaic system are chosen. A solar pump controller with the ability to switch power sources from photovoltaic to grid is used in the system to maintain a consistent water supply if needed. Based on performance simulations using PVSyst software, the designed systems cannot fulfill daily water requirements. However, they are expected to fill both water towers with a daily average supply of 5.78 m3 for the Bumi Harapan site and 9.23 m3 for the Bukit Raya site. These inabilities occurred because the pumps must operate with an elevation head that is more remarkable than the specifications. Performance tests using a solar power meter (SPM) and power quality analyzer (PQA) showed that the electric submersible pump (ESP) will supply water with a flow rate that depends on solar irradiance. Based on the data collection, the ESP successfully operates near its rated capacity during the peak sun hour.

Water Resource Recovery Facilities Empower the Electrolytic Hydrogen Economy.

The global transition to net-zero emissions necessitates the integration of clean hydrogen as a key solution. To facilitate the required expansion of clean hydrogen production, sustainable water sources are required to support the electrolysis process. Utilizing nontraditional water sources such as water resource recovery facility (WRRF) effluents could potentially alleviate the water constraints and create cobenefits, but the real-world feasibility has not been explored in depth. Here, we investigated the geospatial interplay between WRRFs and H2 users in a clean hydrogen economy. We developed an optimization framework for contiguous U.S. that would identify H2 users-WRRF pairing through techno-economic constraint and multicriteria decision analysis, and we found that utilizing reclaimed water from WRRFs could save 66% (62-99%) of freshwater for clean hydrogen economy while accumulating $758 (275-1162) million annual national cost savings. The added benefits from H2 users to WRRFs such as pure oxygen aeration would provide a compelling new opportunity for infrastructural symbiosis but warrant a future investigation on its technical and economic feasibilities.

Assessment of dew harvesting as a sustainable water source and air quality indicator: a case study of Dhanbad, Jharkhand, India

ABSTRACT Dew formation takes place when atmospheric water vapor condenses on the surface which cools down due to radiation deficit. As it is a local phenomenon, its study gives information about the pollutants present in the atmosphere. Also, since dew formation is a natural phenomenon, and involves passive cooling, this can be a potential method for atmospheric water harvesting. The main intention of this present research work was the collection of dew samples and their analysis for yield and chemical composition. Dew samples were collected on a self-fabricated dew collection set up during the winter season. In total 30 dew samples were collected and analyzed for ionic constituents. The results were then compared to those of rain samples. The pH of dew was found to be in the range of 7-8.7, showing the neutral to alkaline nature of dew. Ionic compositions were higher in dew than in rain. While sulfate largely contributed to the ion composition of dew, nitrate was the least contributing ion. The average concentration for sulfate and nitrate in dew were found to be 0.55 and 0.03 meq/L, respectively. The average yield of dew was found to be 0.13L/m2. This yield value from the simplest of collection set-up ensures that dew can be considered as the potential water source with advanced condensing material and passive/active cooling in arid and semi-arid regions.

Spring Water Quality in a Flood-Prone Area of Kampala City, Uganda: Insights Furnished by Sanitary and Limnochemical Data

For millennia, springs have provided water for drinking, domestic use, balneological treatment, liminality rites as well as tourist attractions. Amidst these uses, anthropogenic activities, especially urbanization and agriculture, continue to impair the functionality of springs. With the looming decadal climate change, freshwater springs could be a sustainable source of clean water for the realisation of Sustainable Development Goal 6. This paper presents the results of the sanitary inspection and assessment of limnochemical characteristics and quality of water samples (n = 64) from four freshwater springs (coded SPR1, SPR2, SPR3, and SPR4) in Kansanga, a flash flood-prone area in the African Great Lakes region of Uganda. Each sample was analysed for 17 parameters (temperature, pH, electrical conductivity, turbidity, fluorides, sulphates, chlorides, nitrates, orthophosphates, total dissolved solids, dissolved oxygen, total alkalinity, potassium, sodium, total, magnesium and calcium hardness) following the standard methods. Water quality index (WQI) was calculated to establish the quality of the water samples based on the physicochemical parameters measured. Based on the sanitary risk assessment results, the springs had medium- to high-risk scores, but most water parameters were within the WHO guidelines for potable water, except for nitrates (in SPR1 and SPR2), hardness levels (in SPR2), and dissolved oxygen (in all the samples). Sampling season and location had significant effects on the limnochemistry of the freshwater springs (p < 0.05). The water quality indices calculated indicated that the water from the springs was of good quality (WQI = 50–57), but there was a reduction in water quality during the wet season. The best water quality was recorded in samples from SPR4, followed by those for SPR3, SPR1, and SPR2. These results provide insights into the contribution of floods and poor sanitation facilities to the deterioration of spring water quality in Kansanga, and the need to leverage additional conservation strategies to support vulnerable communities in the area. Further studies are required to establish the risk posed by trace metals and microbes that may contaminate freshwater in the studied springs, especially following flood events.

Augmentation of Reclaimed Water with Excess Urban Stormwater for Direct Potable Use

Groundwater and surface water have been the primary sources of our public water supply around the world. However, rapid population and economic growth, as well as global climate change, are posing major threats to the quality and quantity of these water resources. Treated wastewater (reclaimed water) and stormwater are becoming more important water resources. Use/reuse of these unconventional water resources can enable a truly sustainable, closed-loop, circular water system. However, these two sources are not usually mixed with each other. In this study, we propose the use of combined excess urban stormwater and reclaimed water as a source of potable water supply. One of the most pronounced benefits of this proposed scheme is the possible elimination of costly and energy-intensive processes like reverse osmosis. Reclaimed water tends to have high concentrations of dissolved solids (>500 mg/L) and nitrate-N (>10 mg/L), which can be lowered by blending with stormwater or rainwater. Despite technical and engineering challenges, this approach can benefit various communities—small, medium, large, upstream, downstream, urban, and rural—in diverse climates. Our study suggests that this new holistic approach is feasible, enabling the combined water to be directly used as a sustainable drinking water source.

Characterization of flowback and produced water from shale oil and gas wells fractured with different levels of recycled water

ABSTRACT Hydraulic fracturing requires large volumes of water, and it is therefore crucial to establish sustainable water sources. We analyzed the flowback and water produced from three wells using different fresh-to-recycled water ratios for hydraulic fracturing: freshwater only, 20% recycled water, and one-seventh (∼15%) recycled water. Water samples were collected over a 36-day period (flowback started on day 0). There were no significant differences between the total organic carbon (TOC) levels of the wells, but the total dissolved solid (TDS) concentrations increased for all wells over time, and there were significant differences among the wells. The TDS level of the well fractured with 20% recycled water was significantly higher than that of the other wells. Liquid chromatography quadruple time-of-flight mass spectrometry revealed ethoxylated functional groups in all three wells. Agilent qualitative analysis software B.06.00 was used to perform a qualitative analysis based on the exact mass of organic compounds within 1 ppm mass accuracy. The results of this study provide new insights into the quality of flowback and produced water from wells fractured using different fresh-to-recycled water ratios and can be used as a reference for improving the reusability of treated water and reducing wastewater discharge.

Footprints of drought risk on Africa’s agricultural, water and nutritional security

Abstract Prolonged and recurrent droughts seriously threaten Africa’s food and water security. This threat frequently coexists with human-induced calamities, such as domestic and international conflicts and civil unrest, which could exacerbate the socio-economic instability already present in the region. Using a novel data-driven approach, we evaluated how drought risk in Africa affects the security of various crucial sectors of sustainable development, such as agriculture, water, and food nutrition/health (referred here as ‘nutritional’). Our findings show that different sectors and geographical areas exhibit distinct risk footprints. In Central African countries, for instance, we found that social instability linked to higher nutritional risk is more prevalent than that resulting from the agriculture and water sectors. Socio-economic volatility rather than uncertainty in the climate is the primary driver of this elevated nutritional risk. However, most Northern African countries are at risk of considerable agriculture and water insecurity because of extreme water stress and unstable climate trends. We indicate that the risk is majorly driven by recurrent drought events in Southern Africa, which significantly affect inclusive sectoral securities. The cause of higher risks in Eastern and Western Africa has been found to be an unfavorable interaction of all the risk components—vulnerability, exposure, and hazard. Notably, basic amenities, climate stability, and access to sustainable and renewable water sources are often missing from Africa’s sectoral risk hotspots. Our results emphasize the necessity of maximizing the efficacy of bottom-up initiatives to achieve sustainable food and water security, by integrating socio-economic policies and climate change at the granular level through observation.

Analyzing the impact of artificial intelligence on operational efficiency in wastewater treatment: a comprehensive neutrosophic AHP-based SWOT analysis.

The escalating global challenges of population growth, climate crisis, and resource depletion have intensified water scarcity, emphasizing the critical role of wastewater treatment (WWT) in environmental preservation. While discharging untreated wastewater poses extinction risks to various species, effective WWT operations are indispensable for ecosystem continuity and sustainable water sources. Recognizing the complexity of WWT management, this study delves into the potential of artificial intelligence (AI) in strategic planning and decision-making within the WWT domain. Through a comprehensive SWOT analysis, this study evaluates the strengths, weaknesses, opportunities, and threats associated with AI integration in WWT processes. Utilizing the SWOT analysis framework, key criteria are identified, and their importance weights are assessed via the interval-valued neutrosophic analytical hierarchy process (IVN-AHP). According to analysis, the strengths in WWT are crucial, but potential opportunities and threats should not be ignored. The results of the study highlight several key findings regarding the integration of AI in WWT processes. While concerns about the reduction in human resources and potential unemployment, as well as the activation time and high energy consumption of AI systems, are identified as significant challenges, the study underscores the success of AI in data analytics as a strong aspect. Specifically, advanced data analysis techniques and the ability to proactively prevent problems emerge as important strengths of AI in WWT. WWT operators and practitioners are encouraged to prioritize the adoption of advanced data analysis techniques and proactive problem-solving strategies to maximize the effectiveness of AI integration in WWT processes.

Sustainable Water Use Practices: Behavior and Knowledge Awareness of Applied Science Private University-Students

Jordan is facing a significant challenge with its water resources. Conserving water has become an urgent need. This study aims to provide new evidence on the behavior and knowledge awareness of water conservation for Applied Science Private University ASU students and how it affects water-saving behaviors. This study was applied to a stratified random sample from the ASU that included 134 students. A special questionnaire was distributed to the study sample, including the various study variables: gender, age, place of residence, and income. The questionnaire also included questions about behavior and knowledge awareness toward water conservation conviction about the reality of the water scarcity problem. Students showed good knowledge of sustainable Jordanian water sources and realized the limitations of these resources. ASU students practice water-saving behaviors in households, gardening, and swimming pools. They also adopt tools and practices to save water in their communities. This was evidenced by their concern about purchasing water-saving tools and interacting with posts related to water conservation on various social media platforms. Results showed that ASU students are concerned about water-saving education. The results revealed no significant differences in behavior and knowledge awareness towards water conservation attributed to gender, age, and level of study for father and mother, faculty, governorates, and average family income. The implementation of water waste reduction measures is expected to save about 10 million cubic meters of water, thereby improving water services for the people of Jordan, and contributing to strengthening resilience to climate change. Moreover, the project will contribute to reducing electricity consumption.

Sustainable Management of Water Resources for Drinking Water Supply by Exploring Nanotechnology

Freshwater is a limited resource that is needed by all living things. However, the available amount of it cannot counterbalance the explosion of the human population in recent years. This condition is worsened because of the contamination of many bodies of water by industrialization and urbanization. Nanomaterials offer an alternative sustainable solution due to their unique size-dependent properties, i.e., high specific surface area and discontinuous properties. These advantages can be utilized to reuse wastewater to become a sustainable water source for drinking water. Many recent studies have proven that nanotechnologies in the forms of nano-adsorbents, nanomembranes, and nano-catalysts have high performances in water contaminants removal. This review provides a comprehensive discussion around these nanotechnologies from the mechanism, applications, efficacy, advantages, disadvantages, and challenges in applications for producing drinking water including by wastewater reusing. Each nanotechnology reviewed here has been proven to perform effectively for water contaminants removal in laboratory scale. An initial study is also performed in this review to analyze the sustainability of nanotechnology for producing drinking water. In spite of the great efficacy, nanotechnologies utilization in commercial scales is still limited which requires further studies.

Decision support system for urban river water quality as a source of clean water using the SMART method

Abstract Rivers play an essential role as vital water sources with roles spanning sanitation, hygiene, drinking, and agriculture, particularly in rural areas. However, Kabupaten Sleman’s river water quality, including its Kabupaten Sleman region in Yogyakarta, has severely degraded due to pollution from solid and liquid sources. Chemical contaminants have rendered the water unsafe, posing health risks. The primary objective of this study is to evaluate the water quality in the rivers of Bedog and Sembung located in Kabupaten Sleman. This evaluation utilizes Water Quality Criteria from the Republic of Indonesia Government Regulations Number 82 of 2001, alongside assigned weights. The research employs a diverse range of methodologies, including in-depth literature analysis, meticulous field observation, interviews, and comprehensive water quality assessment. A Decision Support System is adeptly employed as a strategic tool to grapple with the intricate facets inherent in the issue, thereby formulating pragmatic resolutions that facilitate judicious decision-making across diverse contexts. In addressing the dimension of water quality for communities along the Bedog and Sembung rivers, the study seamlessly integrates the SMART (Simple Multi-Attribute Rating Technique) approach. SMART’s agility in steering multi-attribute decisions expedites the decision-making process. SMART’s computational outcomes yield values of 0.304 and 0.395 for the Bedog and Sembung Rivers, respectively, both falling within the 0 to 0.49 range. This collective conclusion indicates that neither river meets the criteria for clean water quality, making it unsuitable for activities like sanitation, hygiene, drinking, and agriculture. The study underscores the urgency of rectifying river water quality, particularly in urban settings, to ensure safe and sustainable water sources for communities. The seamless integration of SMART as a decision-making tool amplifies the potential for effective interventions in navigating water quality management complexities.

Groundwater quality parameters prediction based on data-driven models

Groundwater quality assessment is essential for achieving safe and sustainable water resources, specifically in regions that rely mainly on groundwater. This study focuses on evaluating groundwater quality metrics in the Alnekheeb basin located in Iraq to obtain a more suitable and sustainable water source, which plays a pivotal role in policy development and strategies for more efficient utilization of groundwater. In this regard, three groundwater water quality metrics presented in hardness, sodium absorption ratio (SAR), and salinity are purportedly predicted using two AI-driven models, namely the Radial Basis Neural Network (RBF-NN) and the Probabilistic Neural Network (PNN). Furthermore, this study investigates the influence of input parameters on the performance of the proposed models. Several water quality parameters, including SO4, Cl, NO3, Ca, Mg, Na, HCO3, and CO3, are used for the development modelling. The effectiveness of the proposed models is assessed using various statistical indicators and graphical presentations. According to the evaluation results, adding more input variables can sometimes increase the efficacy of the proposed models with regard to prediction accuracy. Moreover, the findings show that the PNN model provides a promising performance in predicting the groundwater’s water quality (WQ) matrices, showing superior performance compared to the RBFNN model.

Retention pond as an alternative to mitigating runoff and sustainable water source at Jember University

Retention pond as an alternative to mitigating runoff and sustainable water source at Jember University

Investigation of groundwater and its seasonal variation in a rural region in Natore, Bangladesh

In Bangladesh, groundwater is the most widely used source of drinking water for rural communities. However, the groundwater quality is degraded by natural contaminants and anthropogenic pollution. Groundwater is a reliable and sustainable source of safe water for irrigation and domestic purposes, especially during the dry season. The water quality assessment data for the study area was not found in the literature. This study aims to assess groundwater quality and seasonal variation in a rural area of five unions of Bagatipara Upazila, Natore, and its suitability for drinking purposes by measuring the Water Quality Index (WQI). The groundwater of five unions, namely Dayarampur, Bagatipara, Faguardiar, Jamnagar, and Pacca, has been selected for investigation. The electrical conductivity (EC), color, and turbidity exceeded the ECR guidelines. EC showed a positive correlation with total dissolved solids (TDS), total solids (TS), and turbidity. On the other hand, dissolved oxygen (DO), hardness, chloride, carbon-di-oxide (CO2), and iron (Fe) concentrations varied based on the location of the sampling points. The bacteriological parameters TC and E. coli were found in most of the samples, which indicate the potential sources of contaminants such as septic tank leakage and inadequate waste disposal systems. The groundwater quality was found not to be influenced by seasonal variation except by pH, DO, and CO2. The Water Quality Index (WQI) spatial mapping demonstrated that during the post-monsoon period, the water quality of the central part of Bagatipara upazila was in ‘good’ condition, which was in Bagatipara, Fagurdiar, and Pacca unions, whereas during the pre-monsoon season, the ‘good’ condition was found very limited to Fagurdiar union only. The study revealed that the groundwater of Bagtipara Upazila is not suitable for drinking water due to the presence of TC and E. Coli as well as ‘poor’ to ‘unsuitable’ conditions in most of the areas based on WQI.

Optimization of Domestic Rainwater Harvesting Systems in Guangxi and Guangdong Provinces, Southern China

The optimization of domestic rainwater harvesting systems (RWHS) in the rural areas of Guangxi and Guangdong provinces, Southern China, offers a viable solution to address water scarcity and enhance water security. This research focuses on designing, implementing, and evaluating RWHS tailored to local climatic, topographical, and social conditions. By capturing and storing rainwater, these systems reduce reliance on groundwater, improve local water management, and provide a sustainable water source for domestic and agricultural use. Key components of an effective RWHS include rooftop catchments, gutters, downpipes, storage tanks, and filtration units. The study also involves community engagement, training, and capacity-building to ensure the long-term sustainability and effectiveness of the systems. Performance monitoring and data collection on water usage patterns and system reliability are essential to optimize the RWHS. The economic and social impacts, as well as the environmental benefits, are assessed to provide comprehensive insights into the benefits and challenges of RWHS implementation. Policy recommendations and support mechanisms are proposed to promote the widespread adoption of RWHS in rural communities, enhancing water security and sustainability.

Unveiling subsurface heterogeneity in porous aquifers: Insights from hydrogeophysics and derivative analysis

Groundwater is a crucial resource, particularly in urban areas where the need for alternative water sources is rising. Securing groundwater resources is paramount, requiring a concentrated effort to assess these resources and mitigate the increasing water shortages in urban regions. Despite its significance, the application of hydrogeophysics and derivative analysis in understanding aquifer dynamics is often overlooked and underused. Consequently, this study argues that neglecting the integration of hydrogeophysics dataset and derivative analysis in aquifer characterization leads to developing models that lack solution-oriented approaches, hindering effective groundwater management. This study aimed to enhance understanding of aquifer dynamics for solution-based modeling while emphasizing the importance of integrating hydrogeophysics dataset and derivative analysis to highlight aquifer system heterogeneities. The electrical resistivity tomography and derivative analysis of pumping test were used in this study to image the subsurface and amplify aquifer flow regimes respectively. The results of the electrical resistivity survey revealed a distinct layer of fine to medium-grain sand at depths of approximately 60 m in certain areas intercalated with medium-to-coarse-grain sand and thin layers of peat. Derivative analysis plots indicated that the predominant flow regime is linear and bilinear, with evidence of fracture dewatering during pumping cycles suggesting an unconfined aquifer. Additionally, aquifer heterogeneity and a no-flow boundary were evident during the pumping cycle. This study underscores the efficacy of combining hydrogeophysics and derivative analysis of pumping tests as a robust approach for imaging and validating subsurface conditions. The implications of these findings extend beyond the specific case study, offering valuable insights for groundwater utilization, monitoring, and management on a broader scale. By elucidating effective methodologies, this research enhances groundwater security and meets the escalating demand for sustainable water sources in urban areas. In conclusion, electrical resistivity tomography is an effective tool for characterizing subsurface aquifer systems, while derivative analysis of pumping tests is crucial for highlighting aquifer system heterogeneities. These methods offer a more practical interpretation compared to traditional drawdown versus time curve approaches, making the results invaluable for groundwater usage monitoring and management.

Integrated Exploitation of Rainwater and Groundwater: A Strategy for Water Self-Sufficiency in Ca Mau Province of the Mekong Delta

Groundwater sources have been exploited excessively for numerous purposes worldwide, leading to increasingly severe depletion. However, the replenishment of groundwater sources has not usually been a focus in economically and socially underdeveloped countries and regions. In coastal provinces of the Vietnamese Mekong Delta (VMD), rural areas are facing difficulties in accessing fresh water due to shortages from the water supply plant and excessive use of groundwater, highlighting an urgent need for sustainable development solutions. Our study first conducted interviews with 200 households in Ca Mau Province of the VMD to identify the current situation and the challenges and obstacles of rainwater harvesting and to find sustainable and proactive solutions. We then analyzed daily rainfall data from 10 meteorological stations to construct four scenarios of the water balance method: (i) potential rainwater harvesting based on existing roof area; (ii) optimal scale of storage tank and catchments for different levels of water usage; (iii) tank scale utilizing rainwater entirely during the rainy season and basic needs during the dry season; and (iv) integrated water supply between rain and groundwater. The results showed that using rainwater entirely for domestic water supply requires large storage tank capacities, making these scenarios difficult to achieve in the near future. Our research introduces a novel integrated water supply approach to storing rain and groundwater that has demonstrated high effectiveness and sustainability. With existing tank capacities (0.8 m3 per person), rainwater could only meet over 48% (14 m3 per year) of the water demand while requiring 14.8 m3 of additional groundwater extraction. With a tank capacity of 2.4 m3 per person, ensuring rainwater harvesting meets basic demand, harvested rainwater could satisfy 64% of the demand, with artificial groundwater supplementation exceeding 1.79 times the required extraction, while excess rainwater discharge into the environment would be minimal. Our research results not only provide potential solutions for rainwater and groundwater collection to supplement sustainable domestic water sources for Ca Mau but also serve as an example for similar regions globally.

Analysing the impact on groundwater quality using dynamic programming and vision transformer

The demand for sustainable water sources has intensified the focus on ground water harvesting, necessitating rigorous quality analysis for diverse applications. The existing methods for ground water quality analysis are briefly discussed, revealing a research gap in optimizing the sampling and testing process. To address this gap, we employ Dynamic Programming, which is utilized to streamline the sampling and testing process by selecting optimal locations and times. This study proposes a new methodology that combines Dynamic Programming (DP) and the Vision Transformer (ViT) model to evaluate the impact on ground water quality efficiently. This optimization not only enhances data comprehensiveness but also minimizes resource utilization, a crucial aspect in resource-constrained environments. The incorporation of the Vision Transformer model into the methodology brings a novel dimension to ground water quality analysis. ViT, a cutting-edge deep learning model for image analysis, is adapted to process visual data from ground water samples. This includes identifying contaminants, suspended solids, and microbial content, providing a more holistic understanding of ground water quality than traditional methods. Results from our integrated approach demonstrate its efficiency and accuracy in assessing ground water quality. It achieves a 10–15% boost in sampling optimization efficiency, 5–10% improvement in visual data accuracy, and 5–10% increase in precision. DP-ViT reduces resource utilization by 15–20% and consistently offers 5–10% higher data coverage.

Sustainable Adaptation Plan in Response to Climate Change and Population Growth in the Iraqi Part of Tigris River Basin

Climate change and population growth play crucial roles in the planning of future water resources management strategies. In this paper, a balancing between projected water resources and water demands in the Iraqi Part of the Tigris River Basin (TRB) was evaluated till the year 2080 based on RCPs 2.6, 4.5 and 8.5 and population growth. This paper examined a sustainable adaptation plan of water resources in the TRB considering three scenarios; (S1) as no change in the current strategy, (S2) as improved irrigation efficiency and (S3) as improved irrigation and municipal water use efficiency. The results showed a decline in streamflow will occur in the range from 5 to 18.4% under RCP 2.6 and RCP 8.5, respectively. The minimum increase in water demand is expected for RCP 2.6 (maximum increase for RCP 8.5) by 51.8 (208.2), 9.9 (42) and 1.2 (7)% for the municipal–industrial, irrigation and environmental water demands, respectively, compared with the RP. The main finding indicated that S1 is the worst scenario, with water stress in four provinces, especially on the warmest RCP. Whereas, under S2 and S3 conditions, water stress can be eliminated. Increasing ambition towards adaptation becomes obligatory for developing sustainable water sources, supporting water food securities and increasing resilience towards climate change.