设为首页 加入收藏 登录旧版
安徽省2017—2018年PM2.5浓度时空分异特征
Spatio-Temporal Differentiation of PM2.5 Concentration in Anhui Province from 2017 to 2018
投稿时间:2020-05-18  修订日期:2020-09-16
DOI:10.19316/j.issn.1002-6002.2021.03.14
中文关键词:  PM2.5  时空分异  空间自相关  半变异函数  安徽省
英文关键词:PM2.5  spatio-temporal differentiation  spatial autocorrelation  semivariogram  Anhui Province
基金项目:国家自然科学基金资助项目(41971378);安徽省高校自然科学研究重点项目(KJ2020A0758);安徽省高等学校质量工程项目(2018ylzy040);池州学院自然科学研究项目(CZ2018ZRZ10)
作者单位
王雷 池州学院地理与规划学院, 安徽 池州 247000 
赵冰雪 池州学院地理与规划学院, 安徽 池州 247000
南京大学地理与海洋科学学院, 江苏 南京 210023 
张乐勤 池州学院地理与规划学院, 安徽 池州 247000 
田晓四 池州学院地理与规划学院, 安徽 池州 247000 
摘要点击次数: 178
全文下载次数: 9
中文摘要:
      以2017—2018年安徽省133个空气质量监测站(国控点66个,省控点67个)228万条PM2.5质量浓度数据为基础,基于空间自相关和地统计方法对该区PM2.5浓度的时空分异特征进行分析。结果显示:安徽省年平均PM2.5质量浓度为49.63 μg/m3,88%的监测站点PM2.5质量浓度超过国家环境空气质量标准二级限值;PM2.5浓度呈现明显的冬季高、夏季低、春秋季适中的特征,日变化曲线呈双峰结构,峰值在09:00和22:00前后,低值在16:00—17:00;全省PM2.5浓度全局Moran指数为0.673 6,月度指数为0.389 6~0.745 6,均表现为空间聚集性,且冬季PM2.5浓度的空间聚集性更强;局部空间自相关指数表明全省PM2.5浓度呈西北高-高集聚、东南低-低集聚的特点,低值集聚区稳定在黄山市及其周边;全省PM2.5浓度总体表现为由北向南递减的趋势,但受局部地形的影响,PM2.5浓度在西部大别山和皖南山区出现明显的下降趋势。研究结果综合了国控点和省控点监测数据,更加详细地表征区域PM2.5浓度的时空分异特征,为该区实施有效的环境污染防控提供重要参考。
英文摘要:
      Based on the 2.28 million pieces of PM2.5 concentration data from 133 air quality monitoring stations(66 national monitoring stations and 67 provincial monitoring stations) in Anhui Province from 2017 to 2018, its spatio-temporal differentiation characteristics of PM2.5 concentration were analyzed by spatial autocorrelation and geostatistical methods. The results showed that:The annual average PM2.5 concentration in Anhui Province was 49.63 μg/m3, and the PM2.5 concentration in 88% of the stations exceeded the national ambient air quality standard secondary limit (35 μg/m3).PM2.5 concentration in Anhui Province showed obvious characteristics of high in winter, low in summer, and moderate in spring and autumn. The diunal variation curve of PM2.5 concentration showed a bimodal distribution, with peaks around 09:00 and 22:00, and low values around 16:00-17:00.Global Moran index of PM2.5concentration across the province was 0.6736, and the monthly index was between 0.3896 and 0.7456, all of which showed spatial clustering pattern, and the clustering of PM2.5 concentration in winter was stronger. The local indicators of spatial association(LISA) indicated that PM2.5 in northwestern of Anhui was high-high clustering areas and southeast low-low clustering areas, while the low-value clustering areas was stable in Huangshan city and its surroundings.The concentration of PM2.5 in the whole province showed a decreasing trend from north to south, affected by the local topography, the concentration of PM2.5 in the western Dabie Mountains and southern mountains showed a significant decreasing trend. The spatial-temporal differentiation of PM2.5 concentration was characterized in more details by integrating the national control points and provincial control points, which could provide important references for the implementation of effective environmental policies.
查看全文  查看/发表评论  下载PDF阅读器