摘要
城市空气污染问题严重影响了生态环境,为了合理配置风景园林植被,对城市空气污染的净化效果展开了分析。选取归一化植被指数作为覆盖度反演数据,采用像元二分模型计算植被覆盖度。通过计算像元植被、裸土部分贡献信号,获取遥感传感器观测到的信号,并将植被覆盖划分为5个等级。分析采样点与待估计点的空间位置关系,并构建插值函数,计算风景园林植被对SO_(2)、NO_(2)、PM_(2.5)的净化程度。配置5种方案,由分析结果可知,对SO_(2)、NO_(2)的净化率最大值分别为78%、70%。从污染净化效果分析,提高植被覆盖度,增加植被种类对净化污染空气具有积极作用。
Urban air pollution has seriously affected the ecological environment.In order to rationally allocate landscape vegetation,the purification effect of urban air pollution was analyzed.The normalized vegetation index is selected as the inversion data of coverage,and the vegetation coverage is calculated by pixel dichotomy model.By calculating the contribution signals of pixel vegetation and bare soil,the signals observed by remote sensing sensors are obtained,and the vegetation coverage is divided into five grades.The spatial relationship between the sampling point and the point to be estimated is analyzed,and the interpolation function is constructed to calculate the purification degree of SO_(2),NO_(2) and PM_(2.5) by landscape vegetation.According to the analysis results,the maximum purification rates of SO_(2) and NO_(2) are 78% and 70%respectively.From the analysis of pollution purification effect,improving vegetation coverage and increasing vegetation types have a positive effect on purifying polluted air.
作者
王磊
Wang Lei(Yantai Planning and Design Institute Co.,Ltd.,Yantai 264000,China)
出处
《环境科学与管理》
CAS
2024年第7期162-166,共5页
Environmental Science and Management
关键词
风景园林植被
城市空气污染
净化效果
空间插值
landscape architecture and vegetation
urban air pollution
purification effect
spatial interpolation
