摘要
优化景观空间格局和绿色技术融入是景观污水净化处理的未来核心发展方向,为此研究空间格局优化对绿色景观污水净化处理效果影响。以伊洛河这一绿色景观为研究区域,利用污水排放量预测及净化处理能力确定衡量研究区污水净化处理能力,选取斑块数量、边界密度、蔓延度指数、香浓多样性指数以及聚集度指数等景观格局指数,描述景观空间异质性,并利用“源-汇”景观空间负荷对比指数,量化面源污染发展状况。
Optimization of landscape spatial pattern and integration of green technology is the future core development direction of landscape sewage purification.Therefore,the influence of spatial pattern optimization on the effect of green landscape sewage purification is studied.Taking the green landscape of Yiluo River as the research area,the study predicts sewage discharge and purification capacity to determine and measure the sewage purification capacity of the research area,selecting landscape pattern indexes such as patch number,boundary density,spread index,fragrance diversity index and aggregation index to describe the landscape spatial heterogeneity,and using the“source sink”landscape spatial load contrast index,quantify the development of non-point source pollution.
作者
严昉菡
Yan Fanghan(Shanghai Art and Design Academy, Shanghai 201808, China)
出处
《环境科学与管理》
CAS
2020年第8期83-87,共5页
Environmental Science and Management
关键词
空间格局优化
绿色景观
污水
净化处理
spatial pattern optimization
green landscape
sewage
purification treatment
