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首页> 外文期刊>Atmosphere >Effects of Urban Greenspace Patterns on Particulate Matter Pollution in Metropolitan Zhengzhou in Henan, China
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Effects of Urban Greenspace Patterns on Particulate Matter Pollution in Metropolitan Zhengzhou in Henan, China

机译：河南省郑州市城市绿地格局对颗粒物污染的影响

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This case study was conducted to quantify the effects of urban greenspace patterns on particle matter (PM) concentration in Zhengzhou, China by using redundancy and variation partitioning analysis. Nine air-quality monitoring stations (AQMS) were selected as the central points. Six distances of 1 km, 2 km, 3 km, 4 km, 5 km, and 6 km were selected as the side lengths of the squares with each AQMS serving as the central point, respectively. We found: (1) the fine size of PM (PM 2.5 ) and coarse size of PM (PM 10 ) among four seasons showed significant differences; during winter, the concentration of PM 2.5 and PM 10 were both highest, and PM 2.5 and PM 10 concentration in summer were lowest. (2) To effectively reduce the PM 2.5 pollution, the percentage of greenspace, the differences in areas among greenspace patches, and the edge complexity of greenspace patches should be increased at distances of 2 km and 3 km. To effectively reduce PM 10 , the percentage of greenspace at a distance of 4 km, the edge density at distances of 2 km and 4 km, and the average area of greenspace patches at a distance of 1 km should be increased. (3) Greenspace pattern significantly affected PM 2.5 at a distance of 3 km, and PM 10 at a distance of 4 km. From shorter distance to longer distance, the proportion of variance explained by greenspace showed a decline–increase–decline–increase trend for PM 2.5 , and a decline–increase–decline trend for PM 10 . At shorter distances, the composition of greenspace was more effective in reducing the PM pollution, and the configuration of greenspace played a more important role at longer distances. The results should lead to specific guidelines for more cost-effective and environmentally sound greenspace planning.
机译：本案例研究通过冗余和变异分区分析来量化中国郑州城市绿地格局对颗粒物（PM）浓度的影响。选择了9个空气质量监测站（AQMS）作为中心。选择正方形的边长为1 km，2 km，3 km，4 km，5 km和6 km的六个距离，每个AQMS分别作为中心点。我们发现：（1）四个季节中PM的细粒度（PM 2.5）和PM的粗粒度（PM 10）表现出显着差异;在冬季，PM 2.5和PM 10的浓度均最高，而夏季PM 2.5和PM 10的浓度最低。 （2）为有效减少PM 2.5污染，应在2 km和3 km的距离上增加绿地百分比，绿地斑块之间的面积差异以及绿地斑块的边缘复杂性。为了有效减少PM 10，应增加4 km距离的绿地百分比，2 km和4 km距离的边沿密度以及1 km距离的绿地斑块的平均面积。 （3）绿地模式对3公里处的PM 2.5和4 km处的PM 10产生了显着影响。从较短的距离到较长的距离，用绿色空间解释的方差比例显示PM 2.5呈下降-上升-下降-上升趋势，而PM 10呈下降-上升-下降趋势。在较短的距离处，绿地的组成在减少PM污染方面更有效，而在较长的距离处，绿地的配置起着更重要的作用。结果应导致制定更具成本效益和对环境无害的绿色空间规划的具体指南。

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