Effects of Urban Landscape Pattern on PM2.5 Pollution--A Beijing Case Study.
Effects of Urban Landscape Pattern on PM2.5 Pollution--A Beijing Case Study.
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DOI：
10.1371/journal.pone.0142449
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Li J
中科院分区：
文献类型：
--
作者：
Wu J;Xie W;Li W;Li J
PM2.5是指空气中空气动力学直径小于2.5μm的颗粒物（PM），对空气质量和人体健康有负面影响。PM2.5是北京灰霾的主要污染源，也是其他城市灰霾的主要污染源。以往的研究主要集中在土地利用和空气质量之间的关系，但很少有研究专门探讨城市景观格局对PM2.5的影响。这项研究考虑了快速增长和严重污染的中国北京。为了更好地了解城市景观格局对PM2. 5污染的影响，研究中应用了PLAND、PD、艾德、SHEI和CONTAG五种景观指数。此外，其他数据，如街道网络，人口密度，海拔被认为是影响PM2.5的因素，通过RS和GIS获得。通过相关分析和多元逐步回归分析，探讨了景观格局对PM2.5浓度的影响。结果表明：（1）在景观类型水平上，植被和水体是降低PM2. 5浓度的重要景观成分，而农田对PM2. 5浓度的影响尤为显著（艾德和PD）类特征对颗粒物有明显的影响;（3）在景观层次上，整个景观的均匀度（SHEI）和破碎度（CONTAG）与PM2.5浓度密切相关。本研究的结果可以扩展我们对城市景观格局对PM2.5的作用的理解，并为城市规划提供有用的信息。
PM2.5 refers to particulate matter (PM) in air that is less than 2.5μm in aerodynamic diameter, which has negative effects on air quality and human health. PM2.5 is the main pollutant source in haze occurring in Beijing, and it also has caused many problems in other cities. Previous studies have focused mostly on the relationship between land use and air quality, but less research has specifically explored the effects of urban landscape patterns on PM2.5. This study considered the rapidly growing and heavily polluted Beijing, China. To better understand the impact of urban landscape pattern on PM2.5 pollution, five landscape metrics including PLAND, PD, ED, SHEI, and CONTAG were applied in the study. Further, other data, such as street networks, population density, and elevation considered as factors influencing PM2.5, were obtained through RS and GIS. By means of correlation analysis and stepwise multiple regression, the effects of landscape pattern on PM2.5 concentration was explored. The results showed that (1) at class-level, vegetation and water were significant landscape components in reducing PM2.5 concentration, while cropland played a special role in PM2.5 concentration; (2) landscape configuration (ED and PD) features at class-level had obvious effects on particulate matter; and (3) at the landscape-level, the evenness (SHEI) and fragmentation (CONTAG) of the whole landscape related closely with PM2.5 concentration. Results of this study could expand our understanding of the role of urban landscape pattern on PM2.5 and provide useful information for urban planning.