研究报告
张天岳,沈楠驰,赵雪,王欣玉,赵文吉.2015—2019年成渝城市群臭氧浓度时空变化特征及人口暴露风险评价[J].环境科学学报,2021,41(10):4188-4199
2015—2019年成渝城市群臭氧浓度时空变化特征及人口暴露风险评价
- Spatiotemporal variation characteristics of ozone and its population exposure risk assessment in Chengdu-Chongqing urban agglomeration during 2015 to 2019
- 基金项目：国家自然科学基金（No.42071422）
- 作者
- 单位
- 张天岳
- 首都师范大学资源环境与旅游学院, 北京 100048
- 沈楠驰
- 首都师范大学资源环境与旅游学院, 北京 100048
- 赵雪
- 首都师范大学资源环境与旅游学院, 北京 100048
- 王欣玉
- 首都师范大学资源环境与旅游学院, 北京 100048
- 赵文吉
- 首都师范大学资源环境与旅游学院, 北京 100048
- 摘要：近年来O3污染给人类健康带来了很大威胁.本文利用2015—2019年中国环境监测总站的O3地表监测数据，通过Global Moran's I和Getis-Ord G*指数等方法，分析了成渝城市群O3浓度的时空变化特征，并利用空间插值和LandScan人口格网分布数据，基于人口暴露风险模型对该地区的O3人口暴露风险进行了评价.结果表明：①2015—2019年成渝城市群O3浓度总超标比例为6.9%，年际变化呈先上升后下降趋势，逐月变化呈"双峰型"，5月和8月达到峰值，12月最低，季节变化表现为夏季>春季>秋季>冬季，日变化呈"单峰型"，8：30左右开始升高，16：00左右达到峰值；②2015—2019年成渝城市群O3浓度呈现出由成都及周边城市为污染中心向以成都市和重庆市为首尾的"带状"污染空间格局发展的趋势，且空间自相关性较强，逐步形成以成都市和重庆市为双中心的高浓度集聚特征；③2015—2019年成渝城市群平均O3人口暴露风险指数处于较低风险，但空间分布差异较大，人口暴露高风险地区主要集中于成都市、内江市、自贡市、德阳市、泸州市北部及重庆市主城区，低风险地区主要集中于东西片区、绵阳市北部及成渝城市群边界，中部高风险区域有向西南方向转移的趋势，重庆市南部有高风险向极高风险转化的趋势，同时，成都市和重庆市存在显著的高风险指数集聚特征.
- Abstract：O3 pollution is becoming a serious issue to human health in recent years.Based on the surface monitoring data from China environmental monitoring station during 2015 to 2019, this research analyzes the temporal and spatial characteristics of O3 concentration in Chengdu Chongqing Urban Agglomeration by Global Moran's I and Getis-Ord G* index methods. In addition, the O3 population exposure risk in this area is also evaluated using spatial interpolation and landscan population grid distribution data. The results show that:① the total O3 concentration in the Chengdu-Chongqing urban agglomeration exceeded the standard value of 6.9% during 2015 to 2019, and the annual variation showed an upward trend at first and then a downward trend. The monthly variation is "double peak", its peak values are presented in May and August and the lowest value is observed in December. The level of seasonal variation of O3 concentration is summer>spring>autumn>winter.The diurnal variation is "single peak", starting to increase at around 8:30, and reaching the peak at around 16:00; ② From 2015 to 2019, the concentration of O3 in Chengdu and Chongqing urban agglomerations shows that high level of O3 transports from the surrounding cities to an end-to-end spatial pattern of pollution.The spatial autocorrelation between Chengdu and Chongqing is strong, and the high concentration aggregation in Chengdu and Chongqing are gradually formed as the center; ③ The average O3 population exposure risk index in Chengdu Chongqing urban agglomeration from 2015 to 2019 is at a low risk, but the spatial distribution is quite different. The high-risk areas of population exposure are mainly concentrated in Chengdu, Neijiang, Zigong, Deyang, northern Luzhou, and the main urban areas of Chongqing. The low-risk areas are mainly concentrated in the east and west areas, northern Mianyang and the borders of the Chengdu-Chongqing urban agglomeration. In the central region, the high-risk shifts to the southwest. The southern part of Chongqing has a tendency from high risk to extremely high risk. At the same time, Chengdu and Chongqing have significant high-risk index clustering characteristics.
- Key words：O3 spatiotemporal change population exposure risk Chengdu-Chongqing urban agglomeration spatial autocorrelation
摘要点击次数： 357 全文下载次数： 494
