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空间视角下的多尺度生态环境质量评价方法 被引量:15

Multi-scale eco-environmental quality evaluation method from a spatial perspective
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摘要 以PSR模型为理论基础构建评价指标体系,并基于模糊神经网络在市域范围内以区县和主体功能区为评价单元对北京市2007、2015年的生态环境质量进行了定量评估。结果表明:1)北京市生态环境质量等级由高到低依次为:远郊区县、近郊区县、中心城区;2)北京市生态涵养发展区与禁止开发区域的生态环境质量等级明显高于其他类型主体功能区;3)2007、2015年北京市北部与西南部地区生态环境质量等级基本保持在Ⅱ的水平,东南部部分地区的生态环境质量等级在逐渐提高,而北京市中部与近郊区县等相当一部分地区的生态环境质量等级在近几年来有降低的趋势。 This study shows the efforts for establishing an evaluation index system based on the PSR (Pressure-State-Response) model. With the support of the fuzzy neural network, the eeo- environment quality of Beijing in 2007 and 2015 was quantitatively assessed using different report units, e.g., county and major function oriented zone (MFOZ). The results showed that : ( 1 ) The grade of eeo-environment in Beijing from high to low ranged as : far suburbs, near suburbs and downtowns. (2) The eco-environmental quality of ecological eonservation development zone and prohibited development area of MFOZ was superior to other types of MFOZ. (3) The ecoenvironment quality grades of the northern and southwestern areas of Beijing were at level II in 2007 and 2015, and the eco-environment quality grade in the southeastern part was gradually increasing, while the eco-environment quality in central and near suburbs of Beijing showed a deterioration trend from 2007 to 2015.
出处 《生态学杂志》 CAS CSCD 北大核心 2018年第2期596-604,共9页 Chinese Journal of Ecology
基金 地理国情监测国家测绘地理信息局重点实验室开放基金项目(2016NGCMZD03) 专题性地理国情监测项目(B1701) 国家测绘地理信息局青年学术和技术带头人科研计划资助课题(Q1702) 城市空间信息工程北京市重点实验室经费资助项目(2017204)资助
关键词 PSR模型 模糊神经网络 北京 Pressure-State-Response Model Fuzzy Neural Network Beijing.
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