京津冀地区清洁能源供暖对雾霾的影响

doi:10.3969/j.issn.1674-0696.2020.04.17

重庆交通大学学报（自然科学版） ›› 2020, Vol. 39 ›› Issue (04): 98-103.DOI: 10.3969/j.issn.1674-0696.2020.04.17

• 港口航道·水利水电·资源环境 • 上一篇下一篇

京津冀地区清洁能源供暖对雾霾的影响

周伟1,2,周旭1,李兆碧1,廖桃1,石佩琪1

(1 重庆交通大学建筑与城市规划学院地理信息与国土资源系, 重庆 400074; 2. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室，北京 100101)

收稿日期:2019-01-03 修回日期:2019-07-20 出版日期:2020-04-21 发布日期:2020-04-21
作者简介:周伟（1984—），女，山东泰安人，博士，副教授，主要从事为生态环境监测和3S技术等方面的研究。E-mail：zhouw866@163.com。
基金资助:
国家自然科学基金（41501575）；重庆市科委基础科学与前沿技术项目（cstc2016jcyjA1540）；重庆交通大学2018年大学生创新创业训练计划项目（201710618083）

Impact of Clean Energy Heating on Fog and Haze in Beijing-Tianjin-Hebei Urban Agglomeration

ZHOU Wei1,2, ZHOU Xu1, LI Zhaobi1, LIAO Tao1, SHI Peiqi1

(1. College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China; 2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Received:2019-01-03 Revised:2019-07-20 Online:2020-04-21 Published:2020-04-21

摘要/Abstract

摘要： 京津冀地区近年来受到严重雾霾污染的影响，尤其是在冬季供暖时段空气质量指数更是严重超标。为缓解冬季供暖对京津冀地区带来的严重雾霾，国家于2016年实行了清洁能源供暖政策。笔者对比分析京津冀地区清洁能源供暖政策实施前后空气质量变化，并利用Mann-Kendall模型对空气质量进行趋势性检验。结果表明：①京津冀地区实行清洁能源后供暖期间的空气质量指标(AQI、PM2.5、PM10、SO2、NO2和CO)均小于实施清洁能源前；②空气质量的对比分析表明实施清洁能源可明显促进空气质量改善，以往冬季燃煤供暖确实加剧空气污染程度；③通过Mann-Kendall检验法，绘制2013—2018年北京市6种空气质量因子AQI、PM2.5、PM10、SO2、NO2和CO的UF曲线，结果表明AQI、PM2.5的变化特征相似，UF曲线大致相同，均有突变；PM10、NO2和CO的趋势性和突变性表现较强；SO2呈现下降趋势，无突变发生。通过以上分析可以初步预测使用清洁能源用于改善空气质量在接下来的几年内北京市空气质量指数会呈现下降趋势且趋势显著。

关键词: 雾霾, 清洁能源, 空气质量指数, Mann-Kendall模型

Abstract: In recent years, Beijing-Tianjin-Hebei urban agglomeration has been seriously affected by fog and haze pollution, especially in winter heating period, and the air quality index has been seriously exceeding the standard. In order to alleviate the severe fog and haze caused by winter heating in Beijing-Tianjin-Hebei urban agglomeration, a clean energy heating policy was implemented in 2016. The changes of air quality in Beijing-Tianjin-Hebei urban agglomeration before and after the implementation of clean energy heating policy were compared and analyzed, and Mann-Kendall model was used to test the trend of air quality. The results show that: ① The air quality indexes (AQI, PM2.5, PM10, SO2, NO2 and CO) in the heating period after the implementation of clean energy in Beijing-Tianjin-Hebei region is lower than those before the implementation of clean energy. ② The comparative analysis of air quality shows that the implementation of clean energy can significantly promote the improvement of air quality. However, coal-fired heating in the past winter has actually exacerbated air pollution. ③ UF curves of six air quality factors (AQI, PM2.5, PM10, SO2, NO2 and CO) in Beijing from 2013 to 2018 are plotted by Mann-Kendall test. The results show that the variation characteristics of AQI, PM2.5 are similar, and the UF curves are almost the same, with mutations; the trend and mutation of PM10, NO2 and CO are strong; SO2 shows a downward trend, and no mutation occurs. Through the above analysis, it can be preliminarily predicted that the air quality index of Beijing will show a downward trend and a significant trend in the next few years. Therefore, it is urgent to use clean energy to improve air quality.

Key words: fog and haze, clean energy, air quality index, Mann-Kendall model

中图分类号:

周伟1,2,周旭1,李兆碧1,廖桃1,石佩琪1. 京津冀地区清洁能源供暖对雾霾的影响[J]. 重庆交通大学学报（自然科学版）, 2020, 39(04): 98-103.

ZHOU Wei1,2, ZHOU Xu1, LI Zhaobi1, LIAO Tao1, SHI Peiqi1. Impact of Clean Energy Heating on Fog and Haze in Beijing-Tianjin-Hebei Urban Agglomeration[J]. Journal of Chongqing Jiaotong University(Natural Science), 2020, 39(04): 98-103.

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京津冀地区清洁能源供暖对雾霾的影响

Impact of Clean Energy Heating on Fog and Haze in Beijing-Tianjin-Hebei Urban Agglomeration

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