| 长江经济带PM2.5空间异质性和驱动因素的地理探测 |
| 摘要点击 2307 全文点击 669 投稿时间：2021-06-15 修订日期：2021-08-13 |
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| 中文关键词 PM2.5 空间异质性 驱动因素 地理探测器 长江经济带 |
| 英文关键词 PM2.5 spatial heterogeneity drivers geodetector Yangtze River Economic Belt |
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| 中文摘要 |
| 基于地面站点监测数据，运用空间自相关分析和地理探测器等模型方法，探究了2018年长江经济带PM2.5污染的时空分异特征与驱动因素.结果表明：①长江经济带PM2.5浓度呈明显的夏低冬高、春秋居中的季节变化、U形月度变化和脉冲型逐日变化特征，低值区集中在上游的南岸地区，高值区位于中下游的江北地区；②流域PM2.5污染存在稳定的空间正相关，局部空间关联格局展现显著的HH型和LL型的空间趋同现象；③长江经济带PM2.5空间相关强度随地理距离的增大而减小，其空间自相关性阈值约为870 km，在该范围内PM2.5空间集聚性较为强烈；④自然和人文因子对PM2.5影响程度具有显著的空间差异性特征，海拔高度、地形起伏度和人口密度是长江流域PM2.5污染的高作用力影响因子.因子交互作用后对PM2.5污染解释力远超单因子，主导交互因子为产业结构∩海拔高度，反映出长江流域大气污染的驱动因素具有复杂性特征. |
| 英文摘要 |
| Based on ground monitoring data, we explored the spatiotemporal characteristics and drivers of PM2.5 in the Yangtze River Economic Belt (YREB) in 2018 using spatial autocorrelation analysis and geodetector modeling methods. The results showed that:① the PM2.5 concentration in the YREB posed the obvious characteristics of low values in summer and high values in winter, seasonal variation in spring and autumn, monthly U-shaped variation, and daily pulse variation. The low value area was mainly concentrated in the south bank of the upper reaches, whereas the high value area was located in the north of the middle-lower reaches of the YREB. ② PM2.5 pollution in the YREB had a stable positive spatial correlation, and the local association pattern showed a significant HH and LL spatial convergence. ③ The spatial correlation of PM2.5 in the YREB decreased with the increase in geographical distance, and its spatial autocorrelation threshold was approximately 870 km, within which the spatial agglomeration of PM2.5 pollution was strong. ④ The influences of natural and anthropogenic factors on PM2.5 had significant spatial differences. Altitude, relief, and population density were the high impact factors of PM2.5 pollution in the YREB. The interaction of factors had a far greater explanatory power on PM2.5 pollution than that of single factors. The dominant interaction factor was industrial structure ∩ altitude, which reflected the complexity of the drivers of air pollution in the YREB. |
