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粤港澳大湾区NO2污染的时空特征及影响因素分析
引用本文:肖钟湧,谢先全,陈颖锋,刘珊红,林晓凤,陈国强.粤港澳大湾区NO2污染的时空特征及影响因素分析[J].中国环境科学,2020,40(5):2010-2017.
作者姓名:肖钟湧  谢先全  陈颖锋  刘珊红  林晓凤  陈国强
作者单位:集美大学港口与环境工程学院, 福建 厦门 361021
基金项目:福建省自然科学基金资助项目(2017J01659);福建省中青年教师教育科研项目(JAT160253);潘金龙集美大学学科建设基金资助项目(ZC2013022);李尚大集美大学学科建设基金资助项目(ZC2016001)
摘    要:利用Aura卫星搭载的臭氧观测仪(OMI)反演的对流层NO2柱密度数据,分析了自2005年以来粤港澳大湾区(GBA)对流层NO2柱密度的空间分布特征、时间变化趋势及其影响因素.研究结果表明GBA对流层NO2柱密度从2005~2018年呈减少的趋势,每年递减约为2.8%.小波系数显示时间演化过程中存在9个月的主振荡周期,冬季浓度较高,夏季较低.人为排放和各种自然因素,导致了GBA对流层NO2柱浓度月变化在时间和空间上存在明显差异,最小值和最大值分别出现在6和12月,多年平均值分别为3.9665×1015和12.3423×1015molec/cm2.NO2在空间分布上呈现明显的空间分异特征,冬季12月最明显.NO2污染严重的高值区主要出现在中部地区,如广州市、佛山市和中山市,最大的对流层NO2柱密度可达18.8306×1015molec/cm2,大约是周边地区的3 倍,且高污染区域向四周逐渐扩散,连成一片.低值区主要在北部的肇庆市和东部的惠州市,多年平均的对流层NO2柱密度约为7.1400×1015molec/cm2.对流层NO2柱密度的增长率在不同区域的变化趋势呈现明显的差异,变化范围为-15×1015~6×1015molec/cm2,增长率百分比范围为-65%~65%.出现增长的地区主要是肇庆市北部和惠州市东部的低值区;对流层NO2出现明显减少的区域集中在中部的高值区,减少量最大的地区为广州市、佛山市和中山市交界处.

关 键 词:臭氧观测仪  对流层NO2  变异系数  卫星遥感  粤港澳大湾区  
收稿时间:2019-10-22

Temporal and spatial characteristics and influencing factors of NO2 pollution over Guangdong-Hong Kong-Macao Greater Bay Area,China
XIAO Zhong-yong,XIE Xian-quan,CHEN Ying-feng,LIU Shan-hong,LIN Xiao-feng,CHEN Guo-qiang.Temporal and spatial characteristics and influencing factors of NO2 pollution over Guangdong-Hong Kong-Macao Greater Bay Area,China[J].China Environmental Science,2020,40(5):2010-2017.
Authors:XIAO Zhong-yong  XIE Xian-quan  CHEN Ying-feng  LIU Shan-hong  LIN Xiao-feng  CHEN Guo-qiang
Affiliation:College of Harbour and Environmental Engineering, Jimei University, Xiamen 361021, China
Abstract:We analyzed the spatial distribution and temporal variation trend of tropospheric NO2 over Guangdong-Hong Kong-Macao Greater Bay Area (GBA) using the satellite retrieved data from the Ozone Monitoring Instrument (OMI) sensor, and the influencing factors for these temporal-spatial characteristics. The results showed that the tropospheric NO2 decreased by about 2.8% per year from 2005 to 2018 over GBA. The wavelet coefficients showed that there was a 9 months of main oscillation period and the higher and lower concentration appeared in winter and summer, respectively. Due to the effects of anthropogenic emissions and various natural factors, the monthly variation of the tropospheric NO2 was significantly different in time and space over GBA. The minimum and maximum values appeared in June and December, respectively, and the multi-years mean values were 3.9665×1015 and 12.3423×1015 molec/cm2. The tropospheric NO2 showed obvious spatial heterogeneity characteristics, the most obvious heterogeneity was in December. The high-value areas with serious NO2 pollution over GBA were mainly found in the central region, such as Guangzhou, Foshan and Zhongshan cities. The maximum tropospheric NO2 column density was up to 18.8306×1015molec/cm2. It was about three times that of the surrounding areas, and the high-pollution gradually extended around areas. The low-value areas were mainly in northern Zhaoqing City and eastern Huizhou City, and the average tropospheric NO2 concentration was about 7.1400×1015molec/cm2. The growth rates showed a significant difference over GBA. The tropospheric NO2 column density varies from -15×1015 to 6×1015molec/cm2, and the growth rates from -65% to 65%. The increased areas occurred in northern Zhaoqing City and the eastern Huizhou city. The larger reduced were concentrated in the high value areas in the middle, and the largest reduced were the junction of Guangzhou City, Foshan City and Zhongshan City.
Keywords:OMI  tropospheric NO2  coefficient of variation  satellite remote sensing  GBA  
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