| 基于APEI的2013—2018年福建省大气污染评价 |
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| 引用本文： | 龚声燕,连海峰,阙翔,刘金福,谭芳林.基于APEI的2013—2018年福建省大气污染评价[J].环境工程,2023,41(2):73-81. |
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| 作者姓名： | 龚声燕 连海峰 阙翔 刘金福 谭芳林 |
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| 作者单位： | 1. 福建农林大学 计算机与信息学院, 福州 350002; |
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| 基金项目： | 数字福建环境监测物联网实验室开放课题(202008)福建省省级科技创新重点项目(2021G02007)福建省自然科学基金(2021J05030)中央引导地方科技发展资金项目(2020L3006) |
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| 摘 要： | 为了在区(县、市)级尺度上准确衡量福建省大气污染情况，构建大气污染评价APEI指数。基于高分辨率大气污染数据集和夜间灯光数据，分析2013—2018年福建省78个县市大气污染程度时空变化特征及其影响因素的时空异质性。结果表明：1)福建省中心偏北县市大气污染程度小，东部沿海县市大气污染严重。近6年福建省78.21%的县市大气污染程度减弱；2)全省东部沿海区域空气污染严重，主要表现在NO2和PM10这2种大气污染物，均超过全省平均水平；3)从大气污染物时序变化趋势看，PM2.5和PM10变化相似，自2014年起逐年下降，到2018年分别下降约23.15%和12.21%,SO2和NO2分别下降明显。O3呈U形变化，而CO则呈倒U形变化；4)全省6种大气污染物均呈现较明显的季节性波动特征；5)采用时空加权回归(STWR)模型分析夜间灯光对APEI影响的时空异质性，发现2014—2018年负向影响区域持续扩大；全省34个县市5年回归系数均为正值...
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| 关 键 词： | 大气污染评价指数 APEI 大气污染 时空加权回归 福建省 |
| 收稿时间： | 2022-02-26 |
AIR POLLUTION STUDY BASED ON APEI IN FUJIAN,CHINA FROM 2013 TO 2018 |
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| Affiliation: | 1. College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China;2. Key Laboratory for Ecology and Resource Statistics of Fujian Province, Fuzhou 350002, China;3. Fujian Academy of Forestry, Fuzhou 350002, China |
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| Abstract: | In order to accurately measure the air pollution in Fujian province at the regional (county, city) scale, the APEI index was constructed. Based on high-resolution air pollution data set and nighttime light data, the spatio-temporal variation characteristics of air pollution degree and its influencing factors in 78 counties and cities of Fujian province from 2013 to 2018 were analyzed. Results showed that:1) air pollution degree in the counties and cities in the north of the center of Fujian province is low, and air pollution degree in the coastal counties and cities in the east of Fujian province is serious. In the past 6 years, 78.21% of counties and cities in Fujian province reduced their air pollution; 2) the serious air pollution in the eastern coastal areas of the province is mainly manifested in two kinds of air pollutants, NO2 and PM10, both exceeding the average level of the province; 3) from the time series variation trend of atmospheric pollutants, O3 shows a U-shaped change; PM2.5 and PM10 have similar changes, decreasing year by year from 2014 to 2018 by 23.15% and 12.21% respectively. CO changes in an inverted U shape. SO2 and NO2 decreased, respectively; 4) the six kinds of air pollutants showed obvious seasonal fluctuation; 5) spatio-temporal heterogeneity of the impact of night light on APEI was analyzed by using spatiotemporal weighted regression (STWR) model. It was found that the negative influence area continued to expand from 2014 to 2018. The regression coefficients of 34 counties and cities were all positive in five years, indicating that these counties and cities are prone to air pollution caused by human activities; 6) air quality index (AQI) and air quality composite index (AQCI) are used to evaluate the ranking of the comprehensive air pollution degree in Fujian province in the past six years, and it was found that APEI index could better tell the relationship between the real concentration. |
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