Effects of neighborhood green space on PM2.5 mitigation: Evidence from five megacities in China
Effects of neighborhood green space on PM2.5 mitigation: Evidence from five megacities in China
复制标题
社区绿地对 PM2.5 减排的影响：来自中国五个特大城市的证据
DOI：
10.1016/j.buildenv.2019.03.007
复制
发表时间：
2019-06-01
影响因子：
7.4
通讯作者：
Zhu, Shengwei
中科院分区：
文献类型：
--
作者：
Chen, Ming;Dai, Fei;Zhu, Shengwei
十多年来，空气中的颗粒物（PM）一直是中国主要城市空气质量和公众健康的主要威胁。绿色空间被认为可以有效缓解PM污染；然而，很少有研究检验其在社区范围内的有效性。在这项研究中，作者探讨了绿色空间中不同景观组成部分（即树木、草地）的贡献，以及城市社区细颗粒物 (PM2.5) 浓度规划的空间规模。 PM2.5数据包括来自中国五个特大城市的37个样本，来自中国国家环境监测中心。结果表明，邻里绿地对PM2.5的空间变化贡献较大。总绿地覆盖度、树木覆盖度和草地覆盖度均与 PM2.5 浓度呈负相关（p < 0.05）。场地绿地覆盖率越高，PM2.5浓度日均值、日最低值和日最高值越低。尤其是树木覆盖，可以有效降低PM2.5浓度，更重要的是，随着环境PM2.5水平越高，其效果越显着。根据空间尺度效应检验，邻里绿地在小于200 m时，其减弱PM2.5污染的能力消失，在400-500 m范围内时，减弱PM2.5污染的能力达到最大。这些结果将有助于绿色空间的循证设计和管理，以减轻城市 PM 污染。
Airborne particulate matter (PM) has been a major threat to air quality and public health in major cities in China for more than a decade. Green space has been deemed to be effective in mitigating PM pollution; however, few studies have examined its effectiveness at the neighborhood scale. In this study, the authors probe the contributions from different landscape components in the green space (i.e., tree, grass), as well as the spatial scale of planning on fine PM (PM2.5) concentrations in urban neighborhoods. PM2.5 data including 37 samples from five megacities were collected from the National Environmental Monitoring Centre in China. Results showed that, neighborhood green space greatly contributed to the spatial variation in PM2.5. The total green space coverage, tree coverage, and grass coverage were all negatively correlated with PM2.5 concentration (p < 0.05). The higher green space coverage the site had, the lower the daily mean, daily minimum, and daily maximum of PM2.5 concentration were there. Tree coverage, in particular, was effective in reducing the PM2.5 concentrations, and, more importantly, its effectiveness was more significant with the higher ambient PM2.5 level. According to the examination on the effect of spatial scale, the capability for a neighborhood green space to attenuate PM2.5 pollution would be vanished when its size smaller than 200 m, and would be maximized when its size within 400-500 m. These results will contribute to the evidence-based design and management of green space to mitigating urban PM pollution.