摘要
以深圳市为研究区,利用空气质量监测站点PM2.5浓度数据,选取类型水平的景观类型所占比例(PLAND),边缘密度(ED),以及景观水平的蔓延度(CONTAG),斑块数量(NP)和斑块平均面积(AREA_MN)共5个景观指数,并结合道路长度、餐饮点分布数量、海拔和土地利用类型等影响PM2.5浓度的因子,运用相关分析和多元逐步回归分析方法,探究深圳市土地利用和城市景观格局对PM2.5浓度的影响。结果表明:1)土地利用中,植被对PM2.5浓度的削减起着至关重要的作用;2)城市各类型景观格局特征中,组成特征(PLAND)和结构特征(ED)对PM2.5浓度的影响显著;3)城市整体景观中,景观水平的破碎度与PM2.5浓度关系密切。研究结果可以加深对景观生态学中过程–格局相互作用的认识,为大气污染防治和城市景观格局的规划管理提供参考和借鉴,同时在监测数据缺失的情况下,提供一种借助景观指数估算PM2.5浓度的方法。
This study took Shenzhen as study area.PM2.5concentration in air quality monitoring stations was usedand five kinds of landscape metrics including PLAND(percentage of landscape),ED(edge density)at class-level,and CONTAG(contagion),NP(number of patches),AREA_MN(mean patch area)at landscape-level wereapplied.Further,other data,such as street length,catering number,elevation and land use types considered asfactors influencing PM2.5,were also obtained.By means of correlation analysis and stepwise multiple regression,the effects of land use and landscape pattern on PM2.5concentration were explored.The results showed that amongland use as sink landscape for PM2.5,vegetation had the most obvious influence on PM2.5concentration;at classlevelmetrics,both composition metric(PLAND)and configuration metric(ED)were significantly related withPM2.5concentration;at landscape-level,fragment(CONTAG and AREA_MN)of the whole landscape had asignificant relationship with PM2.5pollution.This study could widen the understanding on relationship betweenlandscape and process in landscape ecology and offer advice for air pollution control and landscape planning.Furthermore,it would also provide an effective method to estimate PM2.5concentration in case of no measurement.
作者
谢舞丹
吴健生
XIE Wudan;WU Jiansheng(Key Laboratory of Urban Habitant Environment Science and Technology, School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055;Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871)
出处
《北京大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2017年第1期160-170,共11页
Acta Scientiarum Naturalium Universitatis Pekinensis
基金
国家自然科学基金(41330747)
深圳市知识创新计划基础研究项目(20140827203227)资助