The Seawater Quality Evaluating of the Yangtze Estuary Wetland Based on Wavelet Neural Networks

Abstract:

As the fast development of social economics, pollution accidents become more and more frequent. Yangtze estuary wetland is an important nature reserve. Evaluation of water quality becomes important in this area. However, evaluating water quality needs to concern many criteria such as chemical oxygen demand and content of harmful elements. Simply implement of criteria can cause bad results. This paper use Wavelet neural network to evaluate seawater quality of Chinese sturgeon reserve of the Yangtze estuary wetland in Spawning season successfully and calculate the quantities of floating animals and plants. The analysis also set up good mechanism of seawater quality evaluation.

• Periodical: Advanced Materials Research (Volumes 971-973)
• Pages: 2227-2233
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.971-973.2227
• Online since: June 2014
• Authors: Bian Bian Zhang*, Yun Long Wang
• Keywords: Seawater Quality Evaluation, Wavelet Neural Network

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