Apoorva Bamal , Md Galal Uddin , Agnieszka I. Olbert
{"title":"评估水文气候因子对地表水质量的影响:全球综述与综合","authors":"Apoorva Bamal , Md Galal Uddin , Agnieszka I. Olbert","doi":"10.1016/j.ejrh.2025.102677","DOIUrl":null,"url":null,"abstract":"<div><h3>Study region</h3><div>Global, with emphasis on diverse climatic and geographic regions impacted by hydro-climatic variability.</div></div><div><h3>Study focus</h3><div>This review investigates the influence of hydro-climatic parameters—such as precipitation, temperature, runoff, and streamflow—on surface water quality (WQ), incorporating both natural climatic variability and anthropogenic climate change. It synthesizes findings from 71 peer-reviewed studies using PRISMA guidelines, focusing on methodological approaches and key hydro-climatic drivers affecting WQ.</div></div><div><h3>New hydrological insights for the region</h3><div>Findings reveal that hydro-climatic factors significantly impact individual WQ parameters and overall WQ status. While precipitation and temperature are widely studied, variables like windspeed and relative humidity remain underexplored, potentially limiting the understanding of climate–WQ interactions. Most studies rely on statistical or hydrological models, which often fail to capture complex, nonlinear relationships. The integration of advanced machine learning (ML) and artificial intelligence (AI) methods shows promise in improving predictive accuracy and uncovering hidden patterns. However, few studies assess the cumulative or synergistic effects of multiple hydro-climatic variables. Future research should adopt multidisciplinary, integrated modeling frameworks to better represent dynamic interactions under climate change scenarios. Long-term environmental monitoring and adaptive management strategies are essential for enhancing WQ resilience. To the best of the authors’ knowledge, this review is among the first to comprehensively assess the interplay of multiple hydro-climatic drivers on surface WQ, offering critical insights for more informed water resource management and climate adaptation policy.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"61 ","pages":"Article 102677"},"PeriodicalIF":5.0000,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessing the impact of hydro-climatic factors on surface water quality: A global review and synthesis\",\"authors\":\"Apoorva Bamal , Md Galal Uddin , Agnieszka I. Olbert\",\"doi\":\"10.1016/j.ejrh.2025.102677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Study region</h3><div>Global, with emphasis on diverse climatic and geographic regions impacted by hydro-climatic variability.</div></div><div><h3>Study focus</h3><div>This review investigates the influence of hydro-climatic parameters—such as precipitation, temperature, runoff, and streamflow—on surface water quality (WQ), incorporating both natural climatic variability and anthropogenic climate change. It synthesizes findings from 71 peer-reviewed studies using PRISMA guidelines, focusing on methodological approaches and key hydro-climatic drivers affecting WQ.</div></div><div><h3>New hydrological insights for the region</h3><div>Findings reveal that hydro-climatic factors significantly impact individual WQ parameters and overall WQ status. While precipitation and temperature are widely studied, variables like windspeed and relative humidity remain underexplored, potentially limiting the understanding of climate–WQ interactions. Most studies rely on statistical or hydrological models, which often fail to capture complex, nonlinear relationships. The integration of advanced machine learning (ML) and artificial intelligence (AI) methods shows promise in improving predictive accuracy and uncovering hidden patterns. However, few studies assess the cumulative or synergistic effects of multiple hydro-climatic variables. Future research should adopt multidisciplinary, integrated modeling frameworks to better represent dynamic interactions under climate change scenarios. Long-term environmental monitoring and adaptive management strategies are essential for enhancing WQ resilience. To the best of the authors’ knowledge, this review is among the first to comprehensively assess the interplay of multiple hydro-climatic drivers on surface WQ, offering critical insights for more informed water resource management and climate adaptation policy.</div></div>\",\"PeriodicalId\":48620,\"journal\":{\"name\":\"Journal of Hydrology-Regional Studies\",\"volume\":\"61 \",\"pages\":\"Article 102677\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology-Regional Studies\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214581825005063\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology-Regional Studies","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214581825005063","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Assessing the impact of hydro-climatic factors on surface water quality: A global review and synthesis
Study region
Global, with emphasis on diverse climatic and geographic regions impacted by hydro-climatic variability.
Study focus
This review investigates the influence of hydro-climatic parameters—such as precipitation, temperature, runoff, and streamflow—on surface water quality (WQ), incorporating both natural climatic variability and anthropogenic climate change. It synthesizes findings from 71 peer-reviewed studies using PRISMA guidelines, focusing on methodological approaches and key hydro-climatic drivers affecting WQ.
New hydrological insights for the region
Findings reveal that hydro-climatic factors significantly impact individual WQ parameters and overall WQ status. While precipitation and temperature are widely studied, variables like windspeed and relative humidity remain underexplored, potentially limiting the understanding of climate–WQ interactions. Most studies rely on statistical or hydrological models, which often fail to capture complex, nonlinear relationships. The integration of advanced machine learning (ML) and artificial intelligence (AI) methods shows promise in improving predictive accuracy and uncovering hidden patterns. However, few studies assess the cumulative or synergistic effects of multiple hydro-climatic variables. Future research should adopt multidisciplinary, integrated modeling frameworks to better represent dynamic interactions under climate change scenarios. Long-term environmental monitoring and adaptive management strategies are essential for enhancing WQ resilience. To the best of the authors’ knowledge, this review is among the first to comprehensively assess the interplay of multiple hydro-climatic drivers on surface WQ, offering critical insights for more informed water resource management and climate adaptation policy.
期刊介绍:
Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.