| 天水市大气SO2浓度时空变化特征的卫星遥感监测与影响分析 |
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| 引用本文： | 李兵,巨天珍,张斌才,葛建团,张俊峰,唐红梅.天水市大气SO2浓度时空变化特征的卫星遥感监测与影响分析[J].中国环境监测,2016,32(2):134-140. |
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| 作者姓名： | 李兵 巨天珍 张斌才 葛建团 张俊峰 唐红梅 |
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| 作者单位： | 西北师范大学地理与环境科学学院, 甘肃 兰州 730070,西北师范大学地理与环境科学学院, 甘肃 兰州 730070,甘肃省测绘局, 甘肃 兰州 730030,西北师范大学地理与环境科学学院, 甘肃 兰州 730070,天水市环境监测站, 甘肃 天水 741000,天水市环境监测站, 甘肃 天水 741000 |
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| 基金项目： | 国家自然科学基金(41161080);甘肃省科技计划项目(2010GS05134) |
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| 摘 要： | 大气卫星遥感监测作为一种新型监测手段,具有范围广、速度快、成本低等优势,对环境应急保护及其预警都具有非常重要的意义。选取天水市2006—2013年各年12月每日OMI level-2数据产品,利用Aura卫星技术和Arc GIS等技术平台,对天水市大气中SO_2的时空分布规律和污染原因进行了分析研究。结果表明:2006—2013年天水市SO_2柱浓度及其总量呈现出明显增加的趋势,但在2008年有小幅降低;在2008年以前,天水市SO_2浓度呈现出由东南向西北逐渐减少的趋势,但自2009年后污染重心发生迁移并且出现了数个集中化的SO_2高值区;研究区SO_2垂直柱浓度有自然因素、人类活动等多方面的复合影响,其中能源消耗及机动车尾气排放是主要影响因素。研究进一步讨论了遥感数据产品的应用前景。
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| 关 键 词： | 卫星遥感 OMI SO2 大尺度 时空变化特征 天水市 |
| 收稿时间： | 2015/3/23 0:00:00 |
| 修稿时间： | 2015/4/17 0:00:00 |
Satellite Remote Sensing Monitoring and Analysis of the Causes of Temporal and Spatial Variation Characteristics of Atmospheric SO2 Concentration in Tianshui |
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| LI Bing,JU Tianzhen,ZHANG Bincai,GE Jiantuan,ZHANG Junfeng and TANG Hongmei.Satellite Remote Sensing Monitoring and Analysis of the Causes of Temporal and Spatial Variation Characteristics of Atmospheric SO2 Concentration in Tianshui[J].Environmental Monitoring in China,2016,32(2):134-140. |
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| Authors: | LI Bing JU Tianzhen ZHANG Bincai GE Jiantuan ZHANG Junfeng and TANG Hongmei |
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| Institution: | College of Geographic and Environmental Science, Northwest normal University, Lanzhou 730070, China,College of Geographic and Environmental Science, Northwest normal University, Lanzhou 730070, China,Gansu mapping bureau, Lanzhou 730030, China,College of Geographic and Environmental Science, Northwest normal University, Lanzhou 730070, China,Tianshui environmental monitoring station, Tianshui 741000, China and Tianshui environmental monitoring station, Tianshui 741000, China |
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| Abstract: | As a new monitoring means atmospheric satellite remote sensing has advantages of wide range, fast speed and low cost, has a very important significance to environmental protection and emergency warning. Selecting annual December daily OMI level-2 data products of 2006-2013 of Tianshui, using Aura satellite technology and ArcGIS technology platform analyzed the temporal and spatial distribution of atmospheric SO2 and the causes of pollution in Tianshui. The results show that:In 2006-2013 the 8 years, the SO2 column concentration and total amount SO2 concentration of Tianshui showed an obvious increasing trend, but slightly lower in 2008; Before 2008, the SO2 concentration showed a decreasing trend from southeast to northwest in Tianshui, but since 2009 the occurrence of pollution had shifted and emergenced a number of centralized high SO2 value area; natural factors, human activities and other factors had compound effects on SO2 vertical column density, among the energy consumption and automobile exhaust gas pollution are the main influence factors. Finally, further discussed the foreground application of remote sensing data products. |
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| Keywords: | satellite remote sensing OMI SO2 large-scale dynamic air pollution TianShui city |
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