Effects of land-use patterns on PM2.5 in China's developed coastal region: Exploration and solutions
Effects of land-use patterns on PM2.5 in China's developed coastal region: Exploration and solutions
复制标题
中国沿海发达地区土地利用格局对PM2.5的影响：探索与解决
DOI：
10.1016/j.scitotenv.2019.135602
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发表时间：
2020-02-10
影响因子：
9.8
通讯作者：
Wang, Jing
中科院分区：
文献类型：
--
作者：
Lin, Yifan;Yuan, Xinyi;Wang, Jing
虽然土地利用模型经常被用来确定空气污染物浓度在城市空间尺度上的空间分布，但土地利用对PM2.5浓度和去除的影响很少在区域空间尺度上进行研究。我们在江苏省，这是长江三角洲城市群的一部分，研究这些影响。结果表明，林地和工业用地对PM2.5浓度的影响大于其他土地利用类型。此外，工业用地和建筑用地对PM2.5浓度的影响冬季大于夏季。PM2.5浓度的时空变化主要受工业分布和发展的影响，而PM2.5去除的时空变化主要受林地分布和变化的影响。因此，农村地区PM2.5去除率普遍高于城市地区。PM2.5空间浓度随净初级生产力（NPP）先缓慢上升后下降，拐点在19 g Cm（-2）a（-1）NPP处。然而，空间PM2.5去除每单位面积呈指数增加与净初级生产力。江苏省森林对PM2.5的平均去除率约为0.03%，而2015年PM2.5的绝对去除量约为3013吨。得出的结论是，在区域空间尺度上，森林对PM2.5空气质量的影响是显着的。因此，必须进行科学的权衡和决策，以维持森林生态系统服务，从而改善空气质量和人类健康。(C)2019爱思唯尔B. V.保留所有权利。
While land-use models have often been used to determine the spatial distribution of air pollutant concentrations at urban spatial scales, the effects of land use on PM2.5 concentrations and removal are rarely investigated at regional spatial scales. We studied these effects in Jiangsu Province, which is part of the Yangtze River Delta Urban Agglomeration. Results showed that forest lands and industrial lands had greater effects on the PM2.5 concentration than did other land-use types. In addition, industrial lands and built-up lands had greater effects on the PM2.5 concentrations in winter than in summer. The spatiotemporal change in the PM2.5 concentration was mainly impacted by industrial distribution and development, while the spatiotemporal change in PM2.5 removal was mainly impacted by forest land distribution and change. Therefore, PM2.5 removal was generally higher in rural areas than in urban areas. The spatial PM2.5 concentration slowly increased with net primary productivity (NPP) first and then decreased with NPP, with an inflection point at 19 g C m(-2) a(-1) NPP. However, the spatial PM2.5 removal per unit area exponentially increased with NPP. The average removal rate of PM2.5 by forests was about 0.03% in Jiangsu Province, while the absolute removed amount of PM2.5 was about 3013 tons in 2015. It was concluded that the impact of forests on air quality in terms of PM2.5 is significant at regional spatial scales. Therefore, scientific trade-offs and decision-making are necessary to maintain forest ecosystem services in order to improve air quality and human health. (C) 2019 Elsevier B.V. All rights reserved.