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  • Journals
  • Articles  (2)
  • Science China / Earth Sciences  (1)
  • Stochastic Environmental Research and Risk Assessment  (1)
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  • Geosciences  (2)
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  • 1
    Publication Date: 2012-06-04
    Description:    Water quality criteria (WQC) are threshold limits for pollutants or other hazard factors in the ambient water environment, which are based on scientific experiments and extrapolations. Until now, there is limited information available regarding the study of water quality criteria in China. It is imperative to launch national-level systematic WQC studies that focus on the regional characteristics of China and provide scientific support for the enactment or revision of water quality standards and environmental management. This article reviews the concept of WQC and discusses the methodology and global progress of WQC research. The article also summarizes the key scientific issues in WQC research, including species sensitivity distribution, toxicological endpoint selection, and models selection. Furthermore, we can adopt the derivation method used in the USA and divide WQC into acute and chronic criteria. Finally, considering the current status of WQC research in China, we point out important directions for future national studies, including the selection of native species and the comprehensive use of models. Content Type Journal Article Category Review Pages 882-891 DOI 10.1007/s11430-012-4384-5 Authors ChengLian Feng, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China FengChang Wu, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China XiaoLi Zhao, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China HuiXian Li, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China Hong Chang, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012 China Journal SCIENCE CHINA Earth Sciences Online ISSN 1869-1897 Print ISSN 1674-7313 Journal Volume Volume 55 Journal Issue Volume 55, Number 6
    Print ISSN: 1674-7313
    Electronic ISSN: 1869-1897
    Topics: Geosciences
    Published by Springer on behalf of Science in China Press.
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  • 2
    Publication Date: 2012-01-18
    Description:    Qingjiang River, the second largest tributary of the Yangtze River in Hubei Province, has taken on the important tasks for power generation and flood control in Hubei Province. The Qingjiang River watershed has a subtropical monsoon climate and, as a result, has dramatic diversity in its water resources. Recently, global warming and climate change have seriously affected the Qingjiang watershed’s integrated water resources management. In this article, general circulation model (GCM) and watershed hydrological models were applied to analyze the impacts of climate change on future runoff of Qingjiang Watershed. To couple the scale difference between GCM and watershed hydrological models, a statistical downscaling method based on the smooth support vector machine was used to downscale the GCM’s large-scale output. With the downscaled precipitation and evaporation, the Xin-anjiang hydrological model and HBV model were applied to predict the future runoff of Qingjiang Watershed under A2 and B2 scenarios. The preformance of the one-way coupling approach in simulating the hydrological impact of climate change in the Qingjiang watershed is evaluated, and the change trend of the future runoff of Qingjiang Watershed under the impacts of climate change is presented and discussed. Content Type Journal Article Category Original paper Pages 1-12 DOI 10.1007/s00477-011-0524-2 Authors Hua Chen, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 China Tiantian Xiang, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072 China Xing Zhou, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072 China Chong-Yu Xu, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, 430072 China Journal Stochastic Environmental Research and Risk Assessment Online ISSN 1436-3259 Print ISSN 1436-3240
    Print ISSN: 1436-3240
    Electronic ISSN: 1436-3259
    Topics: Architecture, Civil Engineering, Surveying , Energy, Environment Protection, Nuclear Power Engineering , Geography , Geosciences
    Published by Springer
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