Genetic Algorithm-Based Fuzzy Comprehensive Evaluation of Water Quality in Dongzhaigang

Water

Jiasheng Wen¹  Feng Li¹  Xiangyun Zeng¹  Kaixuan Shen¹  Haijun He²  Yanyan Liang¹  Huayang Gan²  Jinwei Zhang²  Xiaolin Long¹  Yansha Wei¹ 

[1] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China; E-Mails:;Guangzhou Marine Geological Survey, Guangzhou 510760, China; E-Mails:

关键词: water quality;    organic pollution;    genetic algorithm;    Dongzhaigang mangrove wetland;   

DOI  :  10.3390/w7094821

来源: mdpi

【 摘 要 】

The concentrations of dissolved inorganic nitrogen (DIN; NO₂⁻–N, NH₃–N, and NO₃⁻–N), PO₄³⁻–P, dissolved oxygen (DO), chemical oxygen demand (COD), five-day biological oxygen demand (BOD₅), oil, Si, and seven heavy metals (Hg, Cr, Cu, As, Zn, Pb, and Cd) in seawater from the Dongzhaigang National Mangrove Nature Reserve of China in 2013 were determined. Except for the concentrations of the COD, BOD₅, Cr, Hg, Cu, As, and Cd, each index in seawater were found to be over the limits of I-Class seawater standards. The index of organic pollution showed that the pollution level in this study area reached level 6; eutrophication levels indicated that the nutritional level reached level 4. According to the water quality index model, the sea area was slightly polluted by heavy metals. In a genetic algorithm-based fuzzy comprehensive evaluation, the results for organic pollutants, nutrients, and heavy metal pollution can be combined to evaluate the water quality as a whole. Results showed that the sea area in Dongzhaigang did not have a healthy water environment, but was seriously polluted by organic pollutants and nutrients.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.