摘要
城市生态系统服务指人类从城市生态系统中获取的利益,城市绿色空间是提供城市生态系统服务的主要载体。而城市化进程的加快对城市绿色空间的存量造成威胁,城市生态系统服务难以达到居民需求。传统的城市绿色空间评价指标集中于对城市绿地面积的评价,指标偏向整体性和二维化,忽视了三维绿量,也鲜少关注生态系统服务质量。基于以上背景提出了一个城市生态系统服务功能评价指标——城市生态舒适度,通过人体的主观感受对城市生态系统服务功能做出质量反馈,并结合灰色关联分析法构建了该指标的评价模型。通过样本的条件对比分析得出,当绿视率水平低于30%时,城市生态舒适度的主要影响因子为绿视率;当绿视率水平高于30%时,则是湿度、PM2.5浓度和风力等级。将评价模型的模拟结果与实测值进行对比验证,结果显示二者的变化趋势基本相同,表明评价模型科学有效。
Urban ecosystem services refer to the benefits that mankind obtains from urban ecosystems. Urban green space is the main carrier for providing urban ecosystem services. The acceleration of the urbanization process poses a threat to the stock of urban green space. It is difficult for urban ecosystem services to meet the residents demand. The traditional urban green space evaluation indicators mainly evaluate the urban green space area. Those indicators are always integrated and two-dimensional, ignoring the three-dimensional green quantity and the quality of ecosystem services. Based on the above background, this paper proposes an evaluation indicator of urban ecosystem service function—urban ecological comfort index, which makes quality feedback on the urban ecosystem service function through the subjective feelings of the human body. Combined with the grey correlation analysis method, the evaluation model of the index is constructed. Through the comparative analysis of the conditions of the samples, it is concluded that when the green view index is lower than 30%, the main influencing factor of urban ecological comfort index is green view index;when the green view index is higher than 30%, the main influencing factors are humidity, PM2.5 concentration, and wind power level. Comparing the simulation results of the evaluation model with the measured values, the results show that the change trends of two sets of data are basically the same, indicating that the evaluation model is scientific and effective.
作者
王洋洋
黄锦楼
WANG Yangyang;HUANG Jinlou(State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《生态学报》
CAS
CSCD
北大核心
2021年第6期2170-2179,共10页
Acta Ecologica Sinica
基金
国家重点研发计划项目(2016YFC0500702)。
