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        <title>Frontiers in Water | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/water</link>
        <description>RSS Feed for Frontiers in Water | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-05-24T17:36:49.595+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1785234</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1785234</link>
        <title><![CDATA[Beyond cost: examining operational water exposure and firm adaptations]]></title>
        <pubdate>2026-05-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Shweta Dasgupta</author><author>Amit Banerji</author><author>Varsha Rokade</author>
        <description><![CDATA[IntroductionThis study examines how corporations are increasingly using adaptive strategies to face the pressure of rising water resource costs. While prior research often treats water costs as a static input burden, in most contexts, water pricing itself remains administratively determined. In such a scenario, the broader financial pressure associated with water use is often understated.MethodsFirm-level panel data and a difference-generalized method of moments (GMM) estimator are employed to capture dynamic adjustment processes, which also help address endogeneity and unobserved heterogeneity.ResultsThe results indicate a significant relationship between operational water cost exposure and firm profitability, with additional evidence of heterogeneity across firms with varying levels of water cost exposure. Firms are found to be heterogeneous in their adaptation measures.DiscussionThese findings suggest that firms exposed to sustained water cost pressures undertake adaptive responses, such as efficiency improvements and operational adjustments, to offset initial cost effects over time. The analysis interprets water cost exposure as a proxy for broader operational and financial risks, including regulatory and reputational pressures. In this context, it is more than a purely price-based effect. By reconciling static and dynamic perspectives, the study contributes to the literature on water-related financial risk and corporate adaptation. The findings have important implications for managers, policymakers, and investors concerned with firm resilience in water-scarce environments.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1821327</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1821327</link>
        <title><![CDATA[Persistence of hydrological droughts in Slovakia: a Markov-chain analysis of multi-season river flow variability]]></title>
        <pubdate>2026-05-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Igor Leščešen</author><author>Zbyněk Bajtek</author><author>Pavla Pekárová</author><author>Qiuwen Zhou</author>
        <description><![CDATA[Background/introductionDrought persistence across physiographically and climatically diverse river basins remains poorly quantified, limiting probabilistic water-resource planning under a warming climate. This study provides the first such assessment for Slovakia, analyzing 17 gauging stations with long near-natural discharge records spanning Carpathian headwaters to lowland reaches.MethodsDaily discharges were aggregated into winter (October–March) and summer (April–September) seasons; seasons with negative anomalies were classified as dry, and others as wet. Conditional dry-to-dry (Pdd) and wet-to-wet (Pww) transition probabilities were estimated at each station, and two-state first-order Markov chains were fitted. Long synthetic series were generated to compare observed and simulated spell-length distributions, derive 100-year maximum dry and wet spells, and estimate probabilities of exceeding multi-year drought thresholds over 5- and 10-year horizons.ResultsDrought persistence varies markedly across the study domain. High-elevation forested headwaters exhibit high seasonal variability but low persistence, whereas lowland and larger basins in southern and western Slovakia have Pdd > Pww and dry spells of 13–19 seasons. First-order Markov chains reproduce observed spell-length distributions well at most stations. Simulations indicate 100-year meteorological droughts of approximately 3-4 years in alpine basins but up to a decade in some lowland rivers, with a 3–5-year drought likely within a 10-year horizon.Discussion/conclusionAt several sites, the maximum observed wet spells exceed modelled 100-year events, revealing asymmetric wet-dry persistence not fully captured by first-order Markov chains. These findings offer the first probabilistic framework for multi-season drought duration in Slovakia, with direct implications for water-resource planning under ongoing climate warming.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1725767</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1725767</link>
        <title><![CDATA[Understanding climate risks for water and agri-food systems: implications for smallholder farmers]]></title>
        <pubdate>2026-05-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Mendy Ndlovu</author><author>Stefanie Schütte</author><author>Luxon Nhamo</author><author>Pauline Scheelbeek</author><author>Mjabuliseni Ngidi</author><author>Tafadzwanashe Mabhaudhi</author>
        <description><![CDATA[South Africa (SA) is projected to become warmer and drier, with increasing frequency and intensity of extreme climatological and hydrometeorological events. The changing climate affects the agri-food systems, compounds water insecurity, and impacts socio-economic and environmental systems. This study analyses climate risks on water and agri-food systems in three provinces, representing three Hydro-Climatic Zones (HCZs) of SA. The study used the Climate Moisture Index (CMI) to assess water stress and the Thermal Heat Index (THI) to identify heat stress across different HCZs and time periods. Past and projected rainfall and air temperatures, described as historical (1960–1990), present (2015–2044), and distant future (2070–2099) time horizons, were used to compute the CMI and THI. More severe changes in the CMI and THI, indicative of drier, hotter climates, are observed in HCZ 1. The results indicate a heterogeneous decrease in rainfall across the study sites alongside distinct increases in temperatures. These conditions indicate an increasing likelihood of water and heat stress, which will exceed the optimal thresholds for crops. Understanding the severity of climate risks is critical to mitigating their impact on socio-ecological and agri-food systems. The study’s results highlight the need for context-specific, transformative adaptive strategies. Simplifying crop stress indices and prioritising the adoption of crops with high thresholds to water and heat stress will support sustainable natural resource management and strengthen the resilience of agri-food systems, particularly in marginalised environments.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1785802</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1785802</link>
        <title><![CDATA[Groundwater quality under different low-intensity land uses in a semi-arid savanna: insights from Namibia]]></title>
        <pubdate>2026-05-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Martin Hipondoka</author><author>Eliakim Hamunyela</author><author>Shoopala Uugulu</author><author>Heike Wanke</author>
        <description><![CDATA[In drylands, groundwater is a critical resource for humans, livestock and wildlife. Sustainable management of this resource needs to consider both its quantity and quality. The latter is largely affected by land use, particularly in unconfined aquifers. Studies on the impact of land use on groundwater quality often focus on contrasting industrial and intensive agricultural to natural and low-intensity land use, but comparisons of different types of low intensity land use are rare. Here we examine the impact of low-intensity land uses comprising a national park, conservancies, extensive livestock and game farming in a semi-arid savanna by analysing water quality (WQI) of boreholes drilled from 1900 to 2000. The emerged parameters most often exceeding the World Health Organisation guideline values are Mg, TDS, NO3, F and Cl. Relative to drilling conditions, a 2020 sampling of 68 boreholes revealed that water quality was unchanged in 44%, deteriorated in 40%, and improved in 16%. Deteriorated water quality was mainly observed in livestock farms and private game reserves, while improved water quality was mainly observed in the national park and conservancies. Comparison of borehole samples from the dry season and wet season showed that 76% of sites maintained or improved water quality. However, a comparison between the quality of the source groundwater and the trough water supplied to animals showed a deterioration of one WQI class in 30% of the samples, highlighting the importance not only of large scale, general land use but also the impact of local water provision practices. Overall, low-intensity land uses such as a national park may provide favourable conditions for maintaining or improving water quality compared to exclusive livestock farming. Mixed farming systems may thus be a useful strategy for building resilience by safeguarding water resources amidst climate change.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1784764</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1784764</link>
        <title><![CDATA[Characterization of crystalline basement and carbonate aquifers, Southeastern Nigeria, using hydrogeoelectrical and hydrogeochemical methods]]></title>
        <pubdate>2026-05-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Aniekan Edet</author><author>Isang Victor</author><author>Ebenezer Kudamnya</author><author>Bassey J. Bassey</author><author>Christopher Effiong</author>
        <description><![CDATA[This study aims to delineate aquifers, determine their properties, and evaluate surface water and groundwater quality across two geological areas underlain by granitic basement (BA) and carbonate (CA) rocks in southeastern Nigeria, where groundwater and surface water serve as vital resources for drinking, industrial, and agricultural needs. It also assesses spatial and seasonal variations, identifies geogenic and anthropogenic influences, and evaluates potential human health risks. A total of 6 vertical electrical sounding (VES) surveys and 32 surface and groundwater samples were collected during the wet and dry seasons. Water samples were analyzed for physicochemical parameters and heavy metals using standard protocols. The assessment combined the Water Quality Index (WQI), irrigation indices, hydrochemical facies, and multivariate statistical modeling. The geoelectrical measurements delineated three aquiferous layers in BA and four in CA. Field data indicate that deeper-water levels occur in the dry season (DS) compared to shallower levels in the wet season (WS). Aquifer properties, including transmissivity, hydraulic conductivity, and volume of water, are higher in BA relative to CA. Estimates of groundwater reserves indicate higher water volumes during the wet season and greater volumes in BA compared to CA. The dominant cations follow the order Ca2+ > Na+ > Mg2+ > K+, whereas anions rank HCO₃− > Cl− > SO₄2− > NO₃−, with the prevailing water types being Ca-HCO3 and Na-HCO3, revealing carbonate weathering and silicate weathering as the main processes controlling water chemistry. Concentrations of some heavy metals (Fe, Cr, Ni) are above the maximum admissible limits. Hydrochemical analysis using Schoeller diagrams revealed both forward and reverse ion exchange processes. The WQI classification showed the majority of samples as excellent for drinking. Multivariate analysis identified strong correlations among TDS, EC, hardness, Ca2+, Mg2+, Cl−, and SO₄2−, indicating combined natural and anthropogenic impacts. Groundwater is excellent for drinking, whereas irrigation indices confirmed the suitability of the majority of samples for irrigation and industrial use. Potential health risk assessment suggests both non-carcinogenic and carcinogenic health risks. These findings align with the UN SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action) and are essential for ensuring sustainable groundwater protection and enhancing climate resilience in vulnerable coastal aquifer systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1803894</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1803894</link>
        <title><![CDATA[Water quality challenges and microbial risk in rural areas: water source, pollution pathways, microbial risk, surveillance gaps, and integrated risk management]]></title>
        <pubdate>2026-05-21T00:00:00Z</pubdate>
        <category>Review</category>
        <author>A. Murei</author><author>I. Kamika</author>
        <description><![CDATA[The continued use of unimproved water sources remains a major contributing factor to microbial contamination in rural and low-resource areas experiencing inadequate sanitation and weak surveillance. Point sources and non-point sources such as pit latrines, agricultural runoff, wastewater, and open defecation are identified as important sources affecting surface and groundwater quality, affecting vulnerable groups, which include children under the age of 5 years, the elderly (>65 years), and the immunocompromised. This review synthesizes the current evidence on the sources of drinking water, contamination routes, health hazards, and control measures and management with regard to waterborne pathogens, with emphasis on rural settings and resource-limited areas. It critically evaluates the limitations of existing control measures and risk management strategies, highlighting conditions such as poor infrastructure, financial burden, and technical challenges contributing to delays in pathogen detection, reliance on centralized laboratory-based techniques, data fragmentation, and the absence of real-time detection for early warning. Moreover, the implementation of Water Safety Plans and Sanitation Safety Plans, providing risk assessment and management, remains ineffective and unadoptable in low-resource settings. As a principal contribution, the review provides a conceptual framework of a decentralized and integrated microbial risk management strategy that brings together Water Safety Plans (WSPs) and Sanitation Safety Plans (SSPs) with community-based surveillance, context-dependent diagnostics, digital data integration, and better governance. By moving beyond the conventional microbial surveillance paradigm as a reactive measure to waterborne diseases, the conceptual framework presented in the review creates a pathway to better address the challenges of waterborne diseases in low-resource settings.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1759307</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1759307</link>
        <title><![CDATA[Community aspirations and hopes on groundwater governance: qualitative insights for climate change adaptation and resilience in semi–arid Dodoma, Tanzania]]></title>
        <pubdate>2026-05-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Devotha Baltazary Mosha</author><author>Johaiven Joel Kashaigili</author><author>Lina Patrice Samani</author><author>Japhet Joel Kashaigili</author><author>Joseph Rajabu Kangile</author>
        <description><![CDATA[IntroductionAspirations and hopes play a vital role in shaping ideas about water resource management. Due to increasing climate variability and a growing population, reliance on groundwater has risen in the Dodoma Region, threatening its sustainable use. Over the years, the community has relied on indigenous knowledge (IK) and traditional methods to ensure that groundwater remains accessible and well managed for both current and future generations. Despite their importance, community aspirations, hopes, and IK regarding effective groundwater governance remain underexplored. This study examined the community’s aspirations, hopes, and IK that contribute to the sustainable management of groundwater and land resources in the context of climate change in Tanzania.MethodsThe research employed a qualitative approach, including focus group discussions and interviews with key informants conducted from December 2024 to February 2025. Participants and respondents were water users and managers from community, government, and non-government organizations. Content analysis was used to group qualitative information into small, meaningful themes.ResultsThe community’s aspirations and hopes focus on urging the government to increase the number of both deep and shallow wells, expand water price subsidies, and strengthen pollution control initiatives to protect, conserve, and manage groundwater, ensuring equitable and inclusive access. There is a high level of “hydro-geological and biological literacy” that guides traditional decisions about groundwater exploration and site selection. The construction of the Farkwa Dam boosts hopes for economic and social progress, including the expansion of irrigated agriculture. Local water users maintain traditions for water and land care, rooted in their cultural heritage and overseen by traditional leaders, but these traditions are declining among youth. Building partnerships with communities and leaders and encouraging inclusive cooperation that respects indigenous practices are essential.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1830846</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1830846</link>
        <title><![CDATA[Seasonality and pollution effects on water quality based on phytoplankton and physicochemical variables in the Duhok Dam Lake]]></title>
        <pubdate>2026-05-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Majd Muwafaq Yaqoob</author><author>Imre Somlyai</author><author>István Bácsi</author><author>Brigitta Sipos</author><author>Karwan A. Bamarni</author><author>Badal Haji Husein</author><author>Zarina Inelova</author><author>Csaba Berta</author><author>István Grigorszky</author>
        <description><![CDATA[Duhok Dam is a key multipurpose reservoir in northern Iraq that is increasingly exposed to ecological pressures arising from rapid population growth, climate variability, and localized anthropogenic pollution. In this study, we investigated the seasonal and spatial variability of phytoplankton communities and associated physicochemical variables to evaluate water quality conditions and to assess the reliability of phytoplankton communities as bioindicators of environmental stress. The samples were collected six times over nine months in 2021; 36 samples were collected from six sampling stations representing different pollution sources, across four distinct seasons. Multivariate analyses (PCA) combined with statistical testing revealed pronounced seasonal differentiation in both biological and physicochemical variables (ANOSIM, p < 0.0001). Spring conditions were shaped by precipitation-driven nutrients. This favored mixotrophic phytoplankton, especially Euglena sp. Conversely, summer thermal stratification promoted warm-adapted, pollution-tolerant taxa, such as Oscillatoria sp. and Peridinium cinctum. There was also marked spatial heterogeneity across the reservoir. Sites with untreated domestic wastewater had elevated CODSMn and NO3-N concentrations and were dominated by pollution-tolerant diatoms like Nitzschia acicularis. Areas impacted by natural sulfur springs hosted distinct phytoplankton assemblages, including Merismopedia sp. and Navicula sp., highlighting the influence of local geochemical conditions. Overall, our results demonstrate that the phytoplankton community structure responds rapidly and sensitively to both anthropogenic and natural stressors, highlighting its value as an integrative bioindicator of reservoir water quality. This study provides a conceptual basis for incorporating phytoplankton-based biological monitoring into sustainable reservoir management and water quality assessment frameworks in semi-arid regions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1774808</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1774808</link>
        <title><![CDATA[Application research on groundwater-level rise and diversion measures in subway station operation period via similar physical models]]></title>
        <pubdate>2026-05-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yongliang Huang</author><author>Yang Gao</author><author>Hu Li</author><author>Yanqing Men</author><author>Tao Hu</author>
        <description><![CDATA[Blocking seepage channels during underground engineering construction can alter groundwater levels and trigger geological environmental deterioration, which is unfavorable for sustainable development. This study investigates groundwater-level rise induced by subway station excavation and evaluates diversion measures for controlling such changes. A physical model test system was used to simulate the excavation process of a subway station structure. Based on similarity theory, clay-like, sand-like, and rock-like strata materials were prepared using sand, clay, blanc fixe, iron powder, and other raw materials. Six test conditions were simulated under four hydraulic gradients. Water-level variations were monitored, and diversion measures were proposed and experimentally tested. The results show that the largest groundwater-level rise occurred at monitoring points located on the upstream side of the structure. The diversion measures adopted in the study had a significant influence on groundwater-level rise and decline. Under the experimental conditions, the measured water-level variation reached 0.54 m. The findings indicate that underground structures can significantly affect groundwater seepage and local water-level distribution, especially upstream of the excavation area. Proper diversion measures can help regulate groundwater-level changes and reduce the adverse environmental effects caused by seepage-channel obstruction during underground construction.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1818498</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1818498</link>
        <title><![CDATA[Evaluating anthropogenic influences on watershed hydrological dynamics in St. Croix, U.S. Virgin Islands]]></title>
        <pubdate>2026-05-15T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Addisalem Bitew Mitiku</author><author>David Hensley</author><author>Gregory Guannel</author><author>Kim Waddell</author>
        <description><![CDATA[IntroductionLand cover modifications and climate change, mainly driven by anthropogenic activities, substantially modify hydrological water partitioning. On Saint Croix, land use has shifted from native forest to sugarcane cultivation, followed by secondary forest regrowth and, more recently, rapid urbanization. Understanding its hydrological impacts is essential for strengthening watershed management and promoting sustainability.MethodsThe study therefore examines the implications of these transformations on stream dynamics over the past 33 years (1985–2018) using a hydrological modeling approach. Four representative periods, 1985, 1992, 2004, and 2018, were evaluated based on corresponding land use maps.Results and discussionThe land use impact assessment shows increased streamflow in 1992 and 2018, linked to shrub-land and urban expansion, respectively, while a decline of up to 9.52% in 2004 corresponds to secondary forest development, particularly in the mountainous northwest area. Over the 33-year period, rising wet-season rainfall combined with expanding built-up areas resulted in notable increases in wet-season streamflow by 25% in Jolly Hill and 76.6% in the Bethlehem watersheds. Streamflow behavior indicates that Jolly Hill and upper Bethlehem catchment respond similarly, reflecting parallel land use trajectories, whereas the mid- and downstream portions of Bethlehem exhibit a sustained increase in streamflow. Although streams in St. Croix are non-perennial and small absolute changes can yield large percentage increases, the observed rise in flow remains indicative of amplified runoff generation. The study, overall, quantifies impacts of land cover and climate changes on flow dynamics providing evidence-based insights to inform water and watershed management in the island.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1781345</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1781345</link>
        <title><![CDATA[Assessing the potential transition of Lake Titicaca to a terminal lake]]></title>
        <pubdate>2026-05-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Ramiro Pillco Zolá</author><author>Lars Bengtsson</author><author>Belen Martí-Cardona</author><author>Elvis Uscamayta-Ferrano</author><author>Juan Calle</author><author>Ronny Berndtsson</author><author>Osmar Cuentas Toledo</author>
        <description><![CDATA[Lake Titicaca in South America is highly sensitive to climatic variability, making it particularly vulnerable to climate change and raising concerns about long-term drying. Fluctuations in lake-water-levels (LWLs) can trigger cascading impacts across the downstream Titicaca-Desaguadero-Poopó-Salares (TDPS). This study evaluates the dependence of Lake Titicaca’s water level on air temperature and precipitation using a rainfall-runoff model to estimate river inflows, combined with a lake routing model (LRM) to simulate water-level variations. Future projections of LWLs were developed using extreme precipitation and evaporation rates and downscaled climate scenarios, from which temperature trend were incorporated into the LWLs modeling. Results suggested that, even with no significant changes in precipitation, a continued increase in evaporation of approximately 3 mm per year associated with rising air temperatures in the whole catchment could cause Lake Titicaca to become a terminal lake by around 2050 and permanently terminal lake after 2085. A decrease in precipitation or further increases in evaporation would likely accelerate this transition due to the reduction in lake surface area. Such changes could have major consequences for the TDPS system and increase the likelihood that Lake Poopó becomes permanently dried-up.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1743011</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1743011</link>
        <title><![CDATA[Component analysis and temporal evaluation of water quality in the Yamuna River, Uttarakhand, India]]></title>
        <pubdate>2026-05-11T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Madhuben Sharma</author><author>Sameeksha Rawat</author><author>Abhishek Lodh</author><author>Pradeep Kumar</author><author>Vinayak Vandan Pathak</author><author>Amit Awasthi</author>
        <description><![CDATA[Monitoring water quality of rivers is essential in establishing the level of human impact on freshwater ecosystem, in addition to natural variability. The physicochemical, nutritional, and microbiological parameters were studied under seasonal conditions at seven different sites of the river Yamuna upper. The main mechanisms that influence the water quality were determined using descriptive statistics and Principal Component Analysis (PCA). In the present study, mean electrical conductivity (EC) ranged from 149.57 ± 62.46 μS cm−1 (summer) to 195.57 ± 87.93 μS cm−1 (winter), dissolved oxygen (DO) from 3.88 ± 0.30 mg L−1 (summer) to 10.30 ± 0.99 mg L−1(winter), and biochemical oxygen demand (BOD) from 1.59 ± 0.79 mg L−1(summer) to 1.60 ± 0.95 mg L−1(winter). PCA was used to indicate two to three major components among seasons, explaining over 90% of the total variability, with the first component being always mostly dominated by the variables of ionic enrichment, organic matter indicators, and microbial parameters. The latter components put emphasis on nutrient related variability especially NO3− and PO43− which denoted diffuse input. The results showed a moderate decline in water quality which was mainly caused by domestic effluents and agricultural discharge. This is a holistic statistical approach that will tell the impact of hydrological seasonality and human activities on the chemical composition of the Yamuna River.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1707226</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1707226</link>
        <title><![CDATA[Resilience and risk perception in water scarcity: an analysis from Bourdieu's theory]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Cándida Angelina Soler-Vargas</author><author>Miguel A. De-Luque-Villa</author><author>Claudia Patricia Gómez-Rendón</author>
        <description><![CDATA[IntroductionWater scarcity is as much a social challenge as it is a climate-driven problem, yet the role of social inequality in shaping adaptive behavior remains underexplored. This study applies Pierre Bourdieu's theory of habitus and capital to examine how socioeconomic position influences risk perception and resilience to water scarcity in Bogot1, Colombia.MethodsA structured survey was conducted with 393 households across Bogot1's official socioeconomic strata (1–6). Four analytical dimensions were assessed: water scarcity perception, water management perception, social capital, and economic capital. Data were analyzed using Bray-Curtis similarity matrices and permutational multivariate analysis of variance (PERMANOVA) with 9,999 permutations.ResultsResults reveal significant socioeconomic disparities in both perceptions and coping strategies. Lower strata reported more frequent water supply interruptions, greater reliance on precautionary storage, and lower trust in institutional management. Higher strata perceived more reliable supply and water quality and demonstrated greater capacity to secure alternative sources. Social capital showed mixed patterns, with strong agreement on water as a common good but weaker support networks in lower strata. Economic capital emerged as the most decisive factor in enabling adaptive capacity.DiscussionThe findings demonstrate that resilience to water scarcity is socially distributed and shaped by unequal access to capital. By extending Bourdieu's framework to water governance, the study highlights the need for policy interventions that simultaneously strengthen community networks and address structural inequalities in service provision.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1801919</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1801919</link>
        <title><![CDATA[Groundwater potential using remote sensing and GIS for sustainable development of Imphal Valley, Manipur, NE India]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Khundrakpam Nirsana Devi</author><author>Avinash Kumar Chouhan</author><author>Sarda Maibam</author><author>Preeti Kumari</author>
        <description><![CDATA[Amidst the global groundwater crisis and compounded stresses of climate change, the groundwater potential (GWP) assessment for tackling the depletion of aquifers is imperative for developing countries like India for their sustainable development of groundwater resources. This study explores the GWP in the Imphal valley of Manipur state of northeastern part of India, where population growth, rapid urbanization and escalating agricultural demands have strained aquifer systems. The GWP mapping has been carried out by integrating ten thematic layers-land use/land cover, lithology, soil, lineament density, geomorphology, slope, curvature, surface roughness, drainage density and rainfall-using the Analytical Hierarchy Process within a GIS framework. We also performed sensitivity analysis, which indicates that no single parameter independently governs the GWP. The resulting map delineates five GWP zones: very poor, poor, moderate, good, and very good. Approximately 43% of the Imphal valley falls within the good to very good category, while 27% lies within poor to very poor zones. Spatial analysis reveals that the southern, southeastern, and southwestern sectors exhibit higher GWP due to fluvio-lacustrine deposits, gentle slopes, favourable geomorphology and higher rainfall, whereas the northern and northeastern foothill regions display poor potential attributed to steep gradients, dissected terrain, low rainfall, and low-permeability lithologies. District-level assessment indicates Bishnupur as having the highest GWP, while Imphal East records the lowest.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1587619</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1587619</link>
        <title><![CDATA[Spatial and temporal comparison of five methods for evapotranspiration in an agricultural region of China from 1961 to 2017]]></title>
        <pubdate>2026-05-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Jun Yin</author><author>Xu Yang</author><author>Yousef Alhaj Hamoud</author><author>Hiba Shaghaleh</author><author>Xinyu Mao</author>
        <description><![CDATA[Accurate estimation of potential evapotranspiration (ET) is an essential theoretical basis for studying the regional water cycle and agricultural production. The historical observation data from 12 meteorological stations in and around Nanjing from 1961 to 2021 are collected in this paper. The Penman-Monteith (PM) formula method was used to calculate the ET0 value as the standard reference. Four estimation methods (Hargreaves-Samani [Har] method, Priestley-Taylor [PT] method, Thornthwaite [Tho] method, and McGuinness-Bordne [Mcg] method) were selected to calculate ET, in order to elucidate the temporal and spatial variation characteristics of evapotranspiration in Nanjing from 1961 to 2017. And based on the PM model, modifications were made to its parameters tailored to the microclimate systems of different agricultural facilities. The results indicated that there are significant differences between the reference ET calculated by different algorithms and the ET values derived from the PM model (p < 0.05), indicating that no single method is universally applicable. However, the five models exhibit similar spatiotemporal trends in ET at both annual and seasonal scales, with aligned spatial distribution patterns. Potential evapotranspiration gradually increasing from “north to south” maintaining identical spatial configurations. In spring, autumn and winter, ET is relatively low in the northern and central regions but significantly higher in the southern regions. The modified PM model can estimate potential evapotranspiration under windless conditions and serves as the basis for developing a water demand estimation model for greenhouse vegetables. The core innovation of this study lies in the revision of the Penman-Monteith model in response to the unique microclimate of facility agriculture in the Nanjing area, and based on this, the development of a water requirement estimation model for greenhouse vegetables.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1813791</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1813791</link>
        <title><![CDATA[Efficient confidence interval computation for physics-aware machine learning of diffusion-sorption models]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Stefania Scheurer</author><author>Riccardo Frenner</author><author>Tim Brünnette</author><author>Sergey Oladyshkin</author><author>Wolfgang Nowak</author>
        <description><![CDATA[The FInite Volume Neural Network (FINN) is an advanced, physics-aware machine learning (ML) framework that merges the structure and accuracy of traditional numerical methods with the flexibility of artificial neural networks. Its goal is to learn the unknown components (terms or parameters) of only partially known partial differential equations in order to advance the scientific understanding of investigated systems. While FINN enhances flexibility and interpretability, it also introduces significant complexity due to its integrated, highly parameterized neural networks. This makes accurate uncertainty quantification (UQ) of the learned PDE terms increasingly challenging and expensive. For instance, Bayesian UQ methods for physical models, yielding credible intervals, often rely on resource-intensive Markov Chain Monte Carlo sampling, which is often impractical for such complex and highly parameterized problems. However, reliable and efficient UQ is crucial for assessing confidence in new scientific insights and subsequent predictions, particularly when data are scarce. In response, we introduce a novel, computationally efficient ML-assisted inference-with-UQ method, designed to provide confidence intervals for the components of governing equations learned by FINN. This is achieved by performing data-driven bootstrapping of the available observations, followed by repeated FINN training on the resampled data. We demonstrate the effectiveness and speed of our method by computing confidence intervals of the retardation factor of a diffusion-sorption system, showing that our approach provides an efficient and fast tool for obtaining confidence intervals in machine-learned constituents of governing equations.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1814792</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1814792</link>
        <title><![CDATA[A novel approach for mapping and prioritizing optimal stormwater harvesting sites in urban and peri-urban environments]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Indra Mani Tripathi</author><author>Sumit Ghorai</author><author>Pranab Kumar Mohapatra</author><author>Mitthan Lal Kansal</author>
        <description><![CDATA[Rapid urbanization and climate variability often intensify water scarcity and urban flooding in developing cities, necessitating sustainable alternatives to conventional water supply systems. Stormwater harvesting (SWH) offers a promising solution by utilizing locally available runoff for non-potable demands while mitigating flood risks. This study proposes a novel, GIS-integrated hydrological modeling and Analytic Hierarchy Process (AHP)–based framework to identify and prioritize suitable Stormwater Drainage Outlets (SDOs) for urban stormwater harvesting. The methodology takes into account runoff–demand ratio, weighted average distance (WAD), slope, land use-land cover (LULC), and groundwater recharge potential (GRP) to evaluate hotspot suitability across two spatial scales defined by radius of influence (ROI) of 1 km and 0.5 km. The framework was applied to Bhopal, India, a rapidly growing city facing increasing water stress. Results reveal significant spatial variability in hydrological conditions and accessibility, with runoff–demand ratio emerging as the most influential criterion. Hotspot rankings demonstrate scale dependency, where larger ROIs favor hydrological availability, while smaller ROIs emphasize accessibility and localized conditions. The proposed approach enables systematic screening and ranking of SDOs and provides a scalable decision-support tool for decentralized stormwater reuse, contributing to sustainable urban water management and enhanced resilience to water scarcity.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1782527</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1782527</link>
        <title><![CDATA[An improved deep convolutional residual network for daily precipitation downscaling and future projections in the Western source region of the South-to-North water diversion project]]></title>
        <pubdate>2026-05-05T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Lingling Ni</author><author>Xiao Pan</author><author>Zichen Gu</author><author>Wenqi Wang</author><author>Xin Yin</author><author>Jiahui Tao</author><author>Yuwei Tao</author><author>Haibin Zhang</author>
        <description><![CDATA[Downscaling is a critical step to bridge the gap between large-scale climate information and local-scale impact assessments. However, steep and complex mountainous terrain induces highly heterogeneous local-scale meteorological conditions, posing significant challenges for accurately downscaling meteorological variables, particularly daily precipitation, which exhibits strong nonlinearity. To improve the daily precipitation downscaling skills in mountainous regions, this study presents a novel deep learning approach: Deep Convolutional Residual Network (DCRN). This approach was constructed based on a deep convolutional neural network with residual blocks and Gamma-distribution-based two-stage loss function combining a classifier for rainfall occurrence and a regression for rainfall amount. The illustrative cases of downscaling daily precipitation from coarse resolutions (2.8° × 2.8°) to fine resolution (0.5° × 0.5°) in mountainous catchments in the Dadu River and Yalong River basins demonstrate that the improved DCRN has enhanced downscaling accuracy and captured the spatial and temporal patterns remarkably well. Furthermore, the downscaled future precipitation projections indicate that the study basins are likely to experience wetter conditions over the next 80 years. The results provide improved high-resolution precipitation information, offering valuable support for policy-making in water resource management and adaptive operation and planning of water diversion projects under future climate change.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1820304</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1820304</link>
        <title><![CDATA[Water level fluctuation patterns in the Colombo wetland area, insights into nature-based solutions for flood control]]></title>
        <pubdate>2026-05-04T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Lasini Wickramasinghe</author><author>Jeevani Jayasinghe</author><author>Piyal Ekanayake</author><author>D. M. Suratissa</author><author>Upaka Rathnayake</author>
        <description><![CDATA[IntroductionUrban wetlands are considered an important nature-based solution to mitigate flood impacts in built-up areas like Colombo, Sri Lanka, due to rapid urbanization and intensifying rainfall events. Wetlands within the Colombo metropolitan region offer significant potential as nature-based solutions for flood mitigation; however, their hydrological functioning remains insufficiently quantified at high temporal resolution.MethodsThis study analyzes hourly water-level data from multiple locations over multiple years within the Colombo wetland system to investigate water-level dynamics, providing a comprehensive high-resolution analysis that remains limited in the existing literature. Data preprocessing included rigorous missing-value imputation using comparative statistical methods, with seasonal decomposition selected as the most consistent approach.Results and discussionTemporal variability was examined using correlation analysis, time-series and seasonal analyses, and continuous wavelet transform with Morlet wavelets, revealing a strong positive correlation between Kirimandala Street and Janakala Kendraya (r = 0.98) and a weak negative correlation between Diyasaru Park and Thalangama Lake (r = −0.14); time-series analysis indicated increasing trends at seven locations, no significant trends at Janakala Kendraya and Kaduwela, and a decreasing trend at Ewerihena; seasonal analysis showed a clear weekly periodicity across all locations. The wavelet results reveal dominant event-driven variability at longer time scales, reflecting cumulative rainfall effects, wetland storage, and delayed drainage processes, while short-period oscillations were comparatively weak and sporadic. Spatial heterogeneity in responses highlights the influence of wetland connectivity and surrounding urbanization on flood regulation capacity. The findings demonstrate that Colombo’s wetlands play a critical role in moderating flood dynamics and underscore the importance of conserving and integrating wetland systems into urban flood management strategies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/frwa.2026.1848467</guid>
        <link>https://www.frontiersin.org/articles/10.3389/frwa.2026.1848467</link>
        <title><![CDATA[Editorial: Blue-Green Infrastructure: key to sustainable urban development]]></title>
        <pubdate>2026-05-01T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Kshama Gupta</author><author>Kshama Puntambekar</author><author>Rahul Bhadouria</author><author>Desmond Ighravwe</author><author>Taneha Kuzniecow Bacchin</author>
        <description></description>
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