基于灰色关联度的辽宁近海海域生态环境承载力评价

沈思祎; 钮尔轩; 孟斌

doi:10.16411/j.cnki.issn1006-7736.2017.03.019

大连海事大学学报 >

2017 , Vol. 43 >Issue 3: 112 - 118

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.03.019

交通运输工程

基于灰色关联度的辽宁近海海域生态环境承载力评价

沈思祎 ,
钮尔轩 ,
孟斌

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(大连海事大学综合交通运输协同创新中心，辽宁大连 116026)

沈思祎(1994-)，女，硕士生，E-mail：shensiyichn@163.com.

收稿日期: 2017-03-22

修回日期: 2017-04-30

网络出版日期: 2017-05-02

基金资助

国家自然科学基金资助项目(71271034；71672016)；长江学者和创新团队发展计划(IRT13048)；辽宁省高校创新团队支持计划(LT2013011)；交通运输部交通软科学项目(2013-322-225-240)；辽宁省高等教育内涵发展专项资金资助项目(20110117201;20110116102).

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Evaluation of ecological environment carrying capacity in coastal waters of Liaoning based on Grey relation

SHEN Si-yi ,
NIU Er-xuan ,
MENG Bin

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（Collaborative Innovation Center For Transport Studies, Dalian Maritime University, Dalian 116026，China）

Received date: 2017-03-22

Revised date: 2017-04-30

Online published: 2017-05-02

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摘要

分析近海海域生态环境的支持及制约因素，结合近海海域生态环境现状，从环境质量、生态结构、人类活动三方面出发，综合考虑海洋性特征，通过灰色关联度及相关性对指标进行筛选赋权，构建包含18个指标在内的近海海域生态环境承载能力评价模型，良好地解决了现有文献在指标筛选及赋权时存在的问题，保证了评价结果的“质量”及“完整”.实证结果表明：2008—2014年，大连市近海海域生态系统承载力均处于首位；2012—2014年，鞍山市排名第二；营口市近海海域生态系统承载力处于末位.人类活动权重之和为0.414，是影响近海海域生态环境承载力的首要因素.

关键词： 辽宁省; 近海海域; 生态环境; 承载能力; 灰色关联度; 相关性赋权

本文引用格式

沈思祎 , 钮尔轩 , 孟斌 . 基于灰色关联度的辽宁近海海域生态环境承载力评价[J]. 大连海事大学学报, 2017 , 43(3) : 112 -118 . DOI: 10.16411/j.cnki.issn1006-7736.2017.03.019

Abstract

The support and restriction factors of ecological environment in coastal waters were analyzed. Combined with the present situation of ecological environment in coastal waters, the index was screened and weighted by grey relational degree and correlation from the three aspects of environmental quality, ecological structure and human activities considering the characteristics of marine. The evaluation model of ecological environment carrying capacity of offshore area including 18 indexes was constructed, which solved the problems of index selection and weighting in existing literature, and ensured the “quality” and “integrity” of the evaluation results. The empirical results show that the carrying capacity of ecosystem in the coastal waters of Dalian was in the first place in 2008—2014, and Anshan ranked second in 2012—2014, and Yingkou ranked last. The sum of weights of human activities is 0.414, which is the most important factor affecting the ecological environment carrying capacity of coastal waters.

Key words： Liaoning province; coastal waters; ecological environment; carrying capacity; Grey relational degree; correlation weighting

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