Comprehensive assessment of eutrophication status based on Monte Carlo–triangular fuzzy numbers model: site study of Dongting Lake, Mid-South China

Author:

Zhi Guozheng,Chen Yaoning,Liao Zhenliang,Walther Marc,Yuan Xingzhong

Funder

National Natural Science Foundation of China

BMBF CLIENT project “Managing Water Resources for Urban Catchments” in the framework of the Sino-German “Innovation Cluster Major Water”

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Reference39 articles.

1. Aizaki M (1981) Application of modified Carlson’s trophic state index to Japanese lakes and its relationships to other parameters related to trophic state (in Japanese with English summary). Res Rep Natl Inst Environ Stud Jpn 23:13–31

2. Borsuk ME, Stow CA, Reckhow KH (2004) A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecol Model 173:219–239. doi: 10.1016/j.ecolmodel.2003.08.020

3. Carlson RE (1977) A trophic state index for lakes. Limnol Oceanogr 22:361–369

4. CEMS (2001) Lakes (reservoirs) Eutrophication Assessment methods and classification technology requirements. China Environmental Monitoring Station, Beijing

5. Chen C et al (2015) Challenges and opportunities of German-Chinese cooperation in water science and technology. Environ Earth Sci 73:4861–4871. doi: 10.1007/s12665-015-4149-5

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