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Pollution from both point and non-point sources, over-extraction of freshwater, and significant climatic changes in recent years are some factors that put substantial pressure on worldwide water resources. As the demand for potable water increases globally for human, agricultural, and industrial uses, the need to evaluate the river risk assessment also increases. GIS-based studies in recent years have gained prominence as they are rapid, cheap, and provide insight into the resources for further development of research on the rivers. Therefore, the present study assessed the river risk zone (RRZ) of the Himalayan rivers in the Doon Valley of Uttarakhand in India. A combination of GIS and analytical hierarchical process (AHP) techniques was used in the present study. A total of 15 thematic layers, total dissolved solids (TDS), conductivity, pH, salinity, temperature, depth, drainage density, land use/land cover (LULC), elevation, slope, flow, width, soil type, geology, and aspect, were prepared and studied from primary survey data and open-source digital elevation model (DEM) and satellite imagery for RRZ evaluation. Weights assigned to each class are based on their characteristics and risk towards the river through the AHP method. The RRZ map thus obtained was categorized into five classes: very high, high, medium, low, and very low. The study reveals that about 56.38% of the river area is covered under high and very high-risk zones. The medium, low, and very low-risk zones are observed in 33.71%, 2.93% and 6.98%, respectively. Identifying and monitoring these risk zones give planners and decision-makers opportunities to intervene where it counts most to prevent further degradation or collapse systematically, thus preserving the health and sustainability of river systems over time.
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http://dx.doi.org/10.1007/s11356-025-36136-6 | DOI Listing |
Biol Psychiatry
September 2025
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA; Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, 94304, USA. Electronic address: leawillia
Despite available treatments, major depressive disorder (MDD) remains one of the leading causes of disability across medical conditions. The current symptom-based diagnostic system groups patients with highly heterogeneous presentations, with no biomarkers to guide treatment-akin to diagnosing heart disease solely by chest pain, without imaging to reveal the underlying pathology. Lacking biological guidance, clinicians rely on trial-and-error prescribing.
View Article and Find Full Text PDFWater Res
September 2025
Key Laboratory of Groundwater Remediation of Hebei Province and China Geological Survey, Shijiazhuang, 050061, China; The Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geosciences, Shijiazhuang, 050061, China.
Groundwater nitrate (NO) and sulfate (SO) pollution in semi-arid regions has attracted widespread attention. However, unveiling the dynamics and sources of NO and SO in regional groundwater is challenging because of complex anthropogenic activities and hydrogeological conditions. This study combined physicochemistry and multiple stable isotopes (δH-HO, δO-HO, δN-NO, δO-NO, δS-SO, and δO-SO) to explore the spatiotemporal patterns, driving factors, sources, and potential health hazards of NO and SO in groundwater on the Loess Plateau, China.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Department of Biosciences, Integral University, Kursi Road, Lucknow, 226026, India.
Background: The river ecosystems provide habitats and source of water for a number of species including humans. The uncontrolled accumulation of pollutants in the aquatic environment enhances the development of antibiotic-resistant bacteria and genes.
Methods: Water samples were collected seasonally from different sites of Gomti and Ganga River.
J Int Med Res
September 2025
Obstetrics and Gynecology Department, Wuhan University Zhongnan Hospital, China.
ObjectiveThis study aimed to evaluate the efficacy and safety of hyperthermic intraperitoneal intraoperative chemotherapy (HIPEC) in patients with advanced ovarian cancer.MethodsA total of 200 patients with advanced ovarian cancer were enrolled in this retrospective study and randomly allocated to two groups (research registry number: 11353). On the first day after abdominal closure, routine treatment was performed in the non-HIPEC group, whereas HIPEC was performed in the HIPEC group.
View Article and Find Full Text PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
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