Next Article in Journal
Reclaimed Water Use in Biofuel Production
Previous Article in Journal
Applying a Correlation Analysis Method to Long-Term Forecasting of Power Production at Small Hydropower Plants
Article Menu

Export Article

Open AccessArticle
Water 2015, 7(9), 4821-4847; doi:10.3390/w7094821

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

1
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
2
Guangzhou Marine Geological Survey, Guangzhou 510760, China
3
Key Laboratory of Marine Mineral Resources, Ministry of Land and Resources, Guangzhou 510760, China
*
Author to whom correspondence should be addressed.
Academic Editor: Thilo Hofmann
Received: 4 July 2015 / Revised: 14 August 2015 / Accepted: 25 August 2015 / Published: 2 September 2015
View Full-Text   |   Download PDF [3250 KB, uploaded 7 September 2015]   |  

Abstract

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. View Full-Text
Keywords: water quality; organic pollution; genetic algorithm; Dongzhaigang mangrove wetland water quality; organic pollution; genetic algorithm; Dongzhaigang mangrove wetland
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wen, J.; Li, F.; Zeng, X.; Shen, K.; He, H.; Liang, Y.; Gan, H.; Zhang, J.; Long, X.; Wei, Y. Genetic Algorithm-Based Fuzzy Comprehensive Evaluation of Water Quality in Dongzhaigang. Water 2015, 7, 4821-4847.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top