基于相关性和关联耦合分析的上海市生态环境优化思考
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摘要
城市生态环境是人类繁衍生息的重要基础,对其在时间和空间层面的演进趋势和规律的认识,有助于优化和提升其质量。在提出利用相关分析、关联耦合分析两种方法对上海市生态环境进行时空演化特征和优化途径研究的思路/技术路线的基础上,采用相关性分析方法,计算获得了上海市2000-2011年的大气环境、水环境、废弃物处理、绿化水平若干要素之间及要素群内部的皮尔逊相关系数;计算获得了上海市2012年各区县的若干生态环境要素与城市空间发展强度、综合生态安全水平、工业综合能耗等指标的皮尔逊相关系数数据。采用关联耦合分析方法,在时间角度,将上海市的生态环境要素分为质量表征指标和对生态环境质量产生直接或间接影响的指标两类,计算荻得了上海市2000—2011年间两类指标的关联系数、关联度、耦合度和协调度;在空间角度,计算获得了上海市17个区县的人口经济要素群与生态环境要素群的关联度、耦合度和协调度。基于时间和空间角度的相关性和关联耦合分析方法获得的各类结论,兼顾考虑上海生态环境要素群指标对上海人均期望寿命的影响和作用,从削减(降低)不利因素,提高(增加)有利因素等角度,提出了优化上海生态环境的若干建议。
        Urban ecological environment is an important basis for human reproduction,which is closely related with urban residents on a daily basis.This article analyzes the ecological environment of Shanghai based on correlation and coupling of two-perspectives,which helps shed light on the changing ecological environment and spatial distribution in Shanghai.The result is useful for refining the law and making recommendations for optimizing the city' s urban ecological environment.The research is based on data from 2000 and 2011 and calculates the pearson' s correlation coefficients between variables measuring atmospheric features,water body features,solid waste treatment and greenery provision.It also examines the relationships between environmental variable and spatial development intensity,overall ecological security,manufacturing energy consumption and so on.In the coupling analysis,the paper divides ecological variables into environmental quality indicators and direct or indirect causal factors.Relationships between the two groups of variables are explored along temporal scale.Spatially,the relationships between socioeconomic variables and ecological characters are also examined.Built on the statistical analysis,the implications of environmental factors on life expectancy is discussed.Finally,the paper provides recommendations for mitigating negative factors and enhancing positive vactors toward optimizing the city's ecological environment.
引文
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    ①2015-11-1,在CNKI中,以“生态环境”+“关联耦合”进行“篇名”检索,共7篇。
    ②2015-11-1,在WEB OF SCIENCE(SCI)中,以“urban”+“coupling”进行“标题”检索,共177篇。
    ③2015-11-1,在CNKI中。以“生态环境”+“相关性”+“关联耦合”为“篇名”检索,结果为0篇;在WEB OF SCIENCE(SCI)中,以“urban”+“correlation”+“coupling”进行“标题”检索,结果为0篇。
    ④上海环境网站:http://www.sepb.gov.cn/fa/cms/shhj/index.htm。
    ⑤上海市政府门户网站:http://www.shanghai.gov.cn/shanghai/node2314/index.htm。
    ⑥中央气象台网站:http://www.weather.com.cn/weather/101020100.shtml。
    ⑦上海气象台网站:http://www.smb.gov.cn/index.html。
    ⑧数学方法和计算公式参考了马丽等(2012)和李磊等(2012)。
    ⑨空气质量指数采用2013年12月3日上海气象台和中央气象台相关数据。
    ⑩空间发展强度指数采用了建筑面积毛密度(万m~2/km~2)、高层建筑(8层及以上)面积毛密度(万m~2/km~2)、地均GDP(亿元/km~2)等三个指标,在正向归一化处理之后,进行算术平均运算后与100的乘积作为该指数,以上三个指标的相关数据来源于《上海统计年鉴(2013)》。
    [11]综合生态安全指数数据来源于:沈清基等,2015,见参考文献[18]。
    [12]生态用地比例数据来源于:上海市城市规划设计研究院,2012;上海市城市规划设计研究院。2015。
    [13]式(1)中,k为要素数量,i为要素类型,ε)i(j)(t)是两要素群内要素间的关联系数,计算公式为:(?)
    [14]式(2)中,p是分辨系数,本研究中取p=0.5,Z_i~X(t)和Z_j~Y(t)是两要素群内要素标准化后的值;n指耦合系统(要素群)的数量,本文中均为对两个要素群的分析,即n=2;U_i=ε_i(j)(t)。
    [15]式(3)中,C是耦合度,T是综合协调指数,计算公式为T=(aU_1+βU_2)~(1/2)。其中,α、β是待定系数,系数的个数是根据本研究中涉及的系统(要素群)数量取得的,本研究中均按照两系统同等重要对其进行赋值,即α=β=0.5。
目录

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