摘要
海域水环境质量与承载力是生态环境保护与区域经济发展的重要前提条件。针对大连太平湾近岸海域,文章采用集对分析方法、人工神经网络方法和云理论方法,以研究海域32个站位的COD、无机氮、磷酸盐和石油类4个污染因子为承载力评价指标,重点分析太平湾近岸海域的水环境质量和承载力状况;并以不同时期实测资料,分析了太平湾港区工程建设与环境质量间的相互关系,以期为区域经济社会发展和生态环境保护提供基础支撑。
The quality and carrying capacity of sea water environment are important prerequisites for ecological environment protection and regional economic development.In this paper,set pair analysis method,artificial neural network method and cloud theory method were applied to evaluate sea water quality and environmental carrying capacity with COD,inorganic nitrogen,phosphate and petroleum pollution factors of 32 stations in Taiping Bay of Dalian.The relationship of environmental quality with Taiping Bay port construction was analyzed by the different periods.The research results provide basic support for regional economic and social development and ecological environment protection.
作者
徐雪蛟
XU Xue-jiao(Dalian Taipingwan Investment&Development Co.Ltd.,Dalian 116004,China)
出处
《水道港口》
2020年第2期226-230,共5页
Journal of Waterway and Harbor
关键词
近岸海域
环境质量
承载力
评价
集对分析
nearshore
environmental quality
carrying capacity
assessment
set pair analysis
