【摘要】 基于2017年中国NO₂环境监测站点数据,综合运用全局莫兰指数（Global Moran’s I）和热点分析（Getis-Ord G_i^*）方法对中国NO₂污染空间分布特征进行分析,并应用地理加权回归模型（GWR）探讨NO₂污染空间分布的社会经济影响因素。结果表明,（1）2017年,NO₂质量浓度年均值为31.28μg·m^-3。NO₂浓度分布在东西方向上大致以胡焕庸线为界,东部地区高于西部地区;南北方向上大致以长江为界,北部地区高于南部地区。（2）NO₂的季节变化规律为冬季>秋季>春季>夏季。秋冬季节,NO₂高污染区由京津冀、河南、陕西等地扩大至山西中部、新疆东南部以及内蒙古的包头、呼和浩特、乌兰察布等地区,其高值与中高值区域面积占比之和分别为13.47%与24.00%,显著高于春夏季。（3）NO₂质量浓度存在以京津冀及周边河南、山西等地区为主的高值集聚,低值区主要分布在在云南、西藏、广西、海南一带。（4）利用地理加权回归模型（GWR）分析NO₂的空间分布与社会经济因素之间的关系,经计算调整后的R²为0.74,该模型能解释NO₂空间分布的74%,拟合效果较好。在该模型中,城镇化率、森林覆盖率、第二产业占比以及人均电力消费量对NO₂质量浓度影响较大,城镇化率和第二产业占比与NO₂质量浓度呈正相关关系,森林覆盖率和人均电力消费量与NO₂质量浓度呈负相关关系。另外,城镇化率是对NO₂影响最显著的因素,城镇化率的提高对NO₂的影响程度由西向东逐渐递减。（5）NO₂与人均私家车保有量的相关系数r为0.403,华北、东南沿海、东三省及西部新疆、西藏地区,人均私家车保有量与NO₂空间分布情况基本一致,河南、陕西、湖北以及川渝地区则出现了人均私家车保有量与NO₂质量浓度不匹配的情况。更多还原

【Abstract】 Based on NO₂ monitoring data in 2017, this paper analyzes the spatial distribution of NO₂ pollution in China by using Global Moran’s I and hotspot analysis methods. Also, social and economic factors affecting NO₂ spatial distribution are discussed by using geographic weighted regression（GWR） model. The results show that:（1） In 2017, the annual average mass concentration of NO₂ is 31.28 μg·m^-3. Spatial distribution of NO₂ is divided by the Hu Line along the east-west direction, with NO₂ concentration in the east greater than in the west. Along the south and north direction, NO₂ distribution is divided by the Yangtze River, with NO₂ in the north of Yangtze River greater than the south.（2） In terms of overall seasonal variation, the order of NO₂ concentration follows: winter>autumn>spring>summer. In autumn and winter, heavy pollution area of NO₂ spreads from the region of Beijing-TianjinHebei, Henan and Shaanxi to vaster area including central Shanxi, southeast Xinjiang, and cities in Inner Mongolia such as Baotou, Hohhot, and Ulanqab. In addition, the proportions of area in which NO₂ concentration falls into medium-high or high range are 13.47% and 24.00% in autumn and in winter, respectively, significantly higher than that in spring and in summer.（3） The area with high NO₂ concentration is mainly distributed in Beijing-Tianjin-Hebei region and surrounding areas such as Henan province and Shanxi province, while the low NO₂ concentration area is mainly positioned in Yunnan, Tibet, Guangxi and Hainan.（4） The socio-economic factors influencing NO₂ concentration are calculated by geographically weighted regression（GWR） model, with an adjusted R² of 0.74 presented, which means the model can explain 74% of the spatial distribution of NO₂ with a well fit. The results show that four indices mainly impact NO₂ mass concentration: rate of urbanization, forest coverage, proportion of the industrial sector, and electric power consumption. Among them, forest coverage and electric power consumption are negatively correlated with NO₂ mass concentration, while rate of urbanization and industrial sector ratio are positively correlated with NO₂ mass concentration. The urbanization rate is the most significant factor that impacts NO₂ concentration, with the impact gradually decreasing from west to east. And（5） the correlation coefficient r between NO₂ and private car ownership per capita is 0.403. The distribution of private car ownership per capita is in good consistent with the spatial distribution of NO₂ in north China, southeast coastal areas, the three northeastern provinces and Xinjiang and Tibet regions, while the two do not match each other well in Henan, Shaanxi, Hubei, Sichuan and Chongqing regions.更多还原