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基于遥感监测的大气污染物减排成效评估——以湖北省“十一五”以来SO_(2)与NO_(x)减排为例 被引量:1

Reduction effect assessment of pollutant emission control based on remote sensing monitoring:a case of SO_(2)and NO_(x)control in Hubei Province since the Eleventh Five-Year Plan
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摘要 我国从“十一五”开始实施了一系列严格的大气污染物减排措施.然而,由于大气污染源复杂多样,尤其对分散污染源监测上存在盲区;相关的统计数据可能无法准确反映切实的减排成效.卫星遥感技术作为一种大范围全覆盖的监测手段,能反映大气污染物的时空变化趋势,从而客观反映减排成效.因此,研究通过对OMI卫星遥感长时序大气污染监测产品的时空趋势分析,解析了湖北省内“十一五”以来SO_(2)与NO_(x)减排成效,结果显示湖北省内大部分地区SO_(2)浓度呈显著下降趋势,NO_(2)浓度则无显著变化趋势,宜昌、荆门等地区表现为显著增加,亟需重点关注. Uncontrolled air pollution will seriously affect people s lives and health.Therefore,China has implemented a series of strict measures to reduce air pollutants since the Eleventh Five-Year Plan.However,there are some blind spots in monitoring scattered pollution sources due to the complexity and diversity of air pollution activities.Relevant ground-based pollution statistics may not accurately reflect the actual emission reduction results.Satellite remote sensing technology,as a large-scale and full coverage monitoring means,can monitor the spatial and temporal change trend of air pollutants,and thus objectively represent the emission reduction effect.Therefore,through the spatio-temporal trend analysis of OMI satellite remote sensing air pollution products,the impact of SO_(2)and NO_(x)emission reduction in Hubei Province since the Eleventh Five-Year Plan was estimated in this study.The results showed that the SO_(2)concentration in most areas of Hubei Province exhibited a significant downward trend,while the NO_(2)concentration didn t change significantly.The SO_(2)concentration in Yichang,Jingmen,and several other areas in western parts of Hubei showed a significant increase,which requires urgent attention.
作者 陈芳 李婷慧 董佳丹 陈晓玲 CHEN Fang;LI Tinghui;DONG Jiadan;CHEN Xiaoling(State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China)
出处 《华中师范大学学报(自然科学版)》 CAS CSCD 北大核心 2023年第1期89-95,共7页 Journal of Central China Normal University:Natural Sciences
基金 国家重点研发计划项目(2017YFB0503905-03).
关键词 大气污染物 减排 遥感 SO_(2) NO_(x) air pollutants emission reduction remote sensing SO_(2) NO_(x)
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