River Water Quality Assessment in Selected Yangtze Tributaries: Background and Method Development

作     者：Sonja C Jhnig 蔡庆华 

作者机构：Department of Limnology and Conservation Senckenberg Research Institute and Natural History Museum Gelnhausen Germany Biodiversity and Climate Research Centre (BiK-F) State Key Laboratory of Freshwater Ecology and Biotechnology Institute of Hydrobiology Chinese Academy of Sciences 

出 版 物：《Journal of Earth Science》 (地球科学学刊（英文版）)

年 卷 期：2010年第21卷第6期

页      面：876-881页

核心收录：

学科分类：083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 081504[工学-水利水电工程] 07[理学] 08[工学] 0708[理学-地球物理学] 0815[工学-水利工程] 0704[理学-天文学] 0713[理学-生态学] 

基　　金：supported by the German Federal Ministry of Education and Research and German Academic Exchange Service (BMBF and DAAD) Hesse’s Ministry of Higher Education  Research  and the Arts  and the University of Duisburg-Essen 

主　　题：benthic invertebrate biological assessment ecological quality organic pollution Hubei climate change. 

摘      要：Water pollution is among the most severe environmental problems in China, particularly in the vicinity of residential and urban areas. In almost all Asian countries, river monitoring is predominantly based on the analysis of chemical data. However, biological data are a worthwhile addition for the determination of the long-term ecological status of rivers and are particularly well-suited in case of steep pollution and disturbance gradients. A tool for river water quality assessment using benthic invertebrates has been developed for selected tributaries of the middle reach of the Yangtze River. Site selection was supported by a preclassification considering physico-chemical and hydromorphological conditions. Following a stratified sampling design, 34 samples were taken in small and large streams in the subtropical mountainous area of western Hubei （湖北） （China） covering a pollution gradient, accompanied by an extensive field protocol on stream characteristics and （physico-） chemical water analyses. The proposed assessment system is computed as an average score per taxon. The challenge to further consider the additional impact from global change into the development of such tools is discussed.