Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2017, Vol. 53 ›› Issue (1): 160-170.DOI: 10.13209/j.0479-8023.2016.120

• Orginal Article • Previous Articles     Next Articles

Effects of Land Use and Urban Landscape Pattern on PM2.5 Concentration: A Shenzhen Case Study

Wudan XIE1, Jiansheng WU1,2,()   

  1. 1. Key Laboratory of Urban Habitant Environment Science and Technology, School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055
    2. Laboratory of Earth Surface Processes of Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871
  • Received:2015-07-07 Revised:2015-12-15 Online:2017-01-09 Published:2017-01-20
  • Contact: Jiansheng WU

土地利用与景观格局对 PM2.5 浓度的影响—— 以深圳市为例

谢舞丹1, 吴健生1,2,()   

  1. 1. 北京大学深圳研究生院城市规划与设计学院, 城市人居环境科学与技术重点实验室, 深圳 518055
    2. 北京大学城市与环境学院资源与环境地理系, 地表过程与模拟教育部重点实验室, 北京 100871
  • 通讯作者: 吴健生
  • 基金资助:


This study took Shenzhen as study area. PM2.5 concentration in air quality monitoring stations was used and 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 were applied. Further, other data, such as street length, catering number, elevation and land use types considered as factors influencing PM2.5, were also obtained. By means of correlation analysis and stepwise multiple regression, the effects of land use and landscape pattern on PM2.5 concentration were explored. The results showed that among land use as sink landscape for PM2.5, vegetation had the most obvious influence on PM2.5 concentration; at class-level metrics, both composition metric (PLAND) and configuration metric (ED) were significantly related with PM2.5 concentration; at landscape-level, fragment (CONTAG and AREA_MN) of the whole landscape had a significant relationship with PM2.5 pollution. This study could widen the understanding on relationship between landscape 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 PM2.5 concentration in case of no measurement.

Key words: land use, landscape patterns, PM2.5, stepwise multiple regression, Shenzhen


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。

关键词: 土地利用, 景观格局, PM2.5, 多元逐步回归, 深圳

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