Water ecological health is crucial for sustainable ecosystems and human well-being.However,China’s complex water environments present significant challenges for precise health assessments.After analyzing global water...Water ecological health is crucial for sustainable ecosystems and human well-being.However,China’s complex water environments present significant challenges for precise health assessments.After analyzing global water ecological practices,we identify specific challenges to China’s water ecological monitoring and assessment,including cognition,observation,and analysis gaps.To address these challenges,we propose a holistic,dynamic,and intelligent assessment framework that integrates water quality and ecological indicators to shape a clinical diagnosis paradigm.The framework incorporates assessments of trophic status,water clarity,and ecosystem resilience to enhance the ability of evaluating water ecological health.Additionally,we recommend strengthening stereoscopic monitoring networks using environmental optics to improve monitoring effectiveness.A notable advancement in our methodology is the incorporation of self-adaptive capacity,which enables the rapid detection of deteriorating water quality or emerging health threats while optimizing the diagnosis process through bidirectional grading.Overall,the assessment framework helps improve the monitoring and assessment systems,which can significantly enhance the systematization and objectivity of traditional approaches,deepen the understanding dynamic evolution processes,and identify potential warning signals of water health.展开更多
基金funded by the National Key Research and Development Program of China(Grant No 2021YFC3200100,2022YFC3103901)the National Natural Science Foundation of China(Grant No 62375270,52270094)+3 种基金the Major Science and Technology Project of Anhui Province(Grant No 202203a07020002)the Hefei Comprehensive National Science Center Research Team Construction Project(Grant No HYKYTD2024004)the Major Science and Technology Projects of Anhui Province’s Innovation Platform(S202305a12020004)the Ecological Environment Research Project of Anhui Province(2023hb0012,2023hb0011,2024hb012).
文摘Water ecological health is crucial for sustainable ecosystems and human well-being.However,China’s complex water environments present significant challenges for precise health assessments.After analyzing global water ecological practices,we identify specific challenges to China’s water ecological monitoring and assessment,including cognition,observation,and analysis gaps.To address these challenges,we propose a holistic,dynamic,and intelligent assessment framework that integrates water quality and ecological indicators to shape a clinical diagnosis paradigm.The framework incorporates assessments of trophic status,water clarity,and ecosystem resilience to enhance the ability of evaluating water ecological health.Additionally,we recommend strengthening stereoscopic monitoring networks using environmental optics to improve monitoring effectiveness.A notable advancement in our methodology is the incorporation of self-adaptive capacity,which enables the rapid detection of deteriorating water quality or emerging health threats while optimizing the diagnosis process through bidirectional grading.Overall,the assessment framework helps improve the monitoring and assessment systems,which can significantly enhance the systematization and objectivity of traditional approaches,deepen the understanding dynamic evolution processes,and identify potential warning signals of water health.
