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天津市“十三五”期间O3污染特征和驱动因子
摘要点击 1598  全文点击 410  投稿时间:2022-10-17  修订日期:2022-11-08
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中文关键词  "十三五"期间  天津市  空间自相关  空间热点分析  STIRPAT模型
英文关键词  13th Five-Year Period  Tianjin  spatial autocorrelation  spatial hotspot analysis  STIRPAT model
作者单位E-mail
李源 天津市生态环境监测中心, 天津 300191 liyuanpku@163.com 
肖致美 天津市生态环境监测中心, 天津 300191  
毕晓辉 南开大学环境科学与工程学院, 国家环境保护城市空气颗粒物污染防治重点实验室, 天津 300071  
蔡子颖 天津市环境气象中心, 天津 300074  
徐虹 天津市生态环境监测中心, 天津 300191  
高璟赟 天津市生态环境监测中心, 天津 300191  
郑乃源 天津市生态环境监测中心, 天津 300191  
杨宁 天津市生态环境监测中心, 天津 300191 13820388835@163.com 
中文摘要
      为了解"十三五"期间天津市O3污染特征和驱动因素,基于2016~2020年高时空分辨率的在线监测数据,利用空间自相关、空间热点分析和STIRPAT模型分析了O3污染空间分布、聚集特征和驱动因子.结果表明,2016~2020年天津市O3浓度变化特征呈现污染发生时间点提前和污染范围扩大的趋势.6~10月O3污染分布具有显著聚集性,高值-高值聚集区主要为市内六区、北辰区、津南区和静海区,O3浓度在西南部地区形成高值热点聚集区,在东北部地区形成低值冷点聚集区.气温、小风百分率和日照时数等气象因子与NOx排放量、VOCs排放量和机动车保有量等社会因子对O3浓度有显著性影响,综合驱动STIRPAT模型的回归拟合效果比单一气象因子或社会因子模型更好.为科学高效地开展"十四五"期间O3污染的防治,在关注气象条件基础上,在"双碳"目标的约束下,天津市应进一步提升钢铁、石化、火电和建材等行业全过程排放的绩效水平,引导企业清洁化提升改造、转型升级和绿色发展,减少企业VOCs和NOx的排放量,同时进一步控制燃油机动车保有量的增加,大力推广新能源机动车,减少机动车尾气的排放.
英文摘要
      The spatial distribution, accumulation features, and driving factors of O3 pollution were analyzed using spatial autocorrelation and hotspot analysis and the STIRPAT model based on the high spatiotemporal resolution online monitoring data from 2016 to 2020 in Tianjin. The results showed that the variation characteristics of O3 concentration in Tianjin from 2016 to 2020 had the trend of pollution occurring in advance and the scope of the pollution expanding. The distribution of O3 pollution showed significant aggregation from June to October. High-high value clustering areas included six urban districts, Beichen District, Jinnan District, and Jinghai District. O3 concentration formed high value hot spots in the southwest and low value cold spots in the northeast. Meteorological factors such as temperature, breeze percentage, and sunshine duration, as well as social factors such as NOx emission, VOCs emission, and motor vehicle ownership had significant effects on O3 concentration. The regression fitting effect of the integrated drive STIRPAT model was better than that of the single meteorological factor or social factor models. In order to promote scientific and efficient prevention and control of ozone pollution during the 14th Five-Year Plan period, meteorological conditions require attention; under the goal of "peaking carbon dioxide emissions and achieving carbon neutrality," it is necessary for Tianjin to further improve the emission performance of steel, petrochemicals, thermal power, building materials, and other industries, Additionally, clean upgrading, transformation, and green development should be guided for enterprises to reduce VOCs and NOx emissions. At same time, the increase in fuel vehicle numbers should be controlled, and new energy vehicles should be vigorously promoted to reduce vehicle emissions.

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