Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-8211-2017 |
Estimating daily surface NO2 concentrations from satellite data - a case study over Hong Kong using land use regression models | |
Anand, Jasdeep S.; Monks, Paul S. | |
2017-07-06 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:13 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | Land use regression (LUR) models have been used in epidemiology to determine the fine-scale spatial variation in air pollutants such as nitrogen dioxide (NO2) in cities and larger regions. However, they are often limited in their temporal resolution, which may potentially be rectified by employing the synoptic coverage provided by satellite measurements. In this work a mixed-effects LUR model is developed to model daily surface NO2 concentrations over the Hong Kong SAR during the period 2005-2015. In situ measurements from the Hong Kong Air Quality Monitoring Network, along with tropospheric vertical column density (VCD) data from the OMI, GOME-2A, and SCIAMACHY satellite instruments were combined with fine-scale land use parameters to provide the spatiotemporal information necessary to predict daily surface concentrations. Cross-validation with the in situ data shows that the mixed-effects LUR model using OMI data has a high predictive power (adj. R-2 = 0.84), especially when compared with surface concentrations derived using the MACC-II reanalysis model dataset (adj. R-2 = 0.11). Time series analysis shows no statistically significant trend in NO2 concentrations during 2005-2015, despite a reported decline in NOx emissions. This study demonstrates the utility in combining satellite data with LUR models to derive daily maps of ambient surface NO2 for use in exposure studies. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000404775200001 |
WOS关键词 | AIR-POLLUTION EXPOSURE ; TROPOSPHERIC NO2 ; NITROGEN-DIOXIDE ; RETRIEVAL ; TRENDS ; CITIES ; OMI ; REANALYSIS ; SCIAMACHY ; QUALITY |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/30382 |
专题 | 地球科学 |
作者单位 | Univ Leicester, Dept Chem, Atmospher Chem Grp, Univ Rd, Leicester LE1 7RH, Leics, England |
推荐引用方式 GB/T 7714 | Anand, Jasdeep S.,Monks, Paul S.. Estimating daily surface NO2 concentrations from satellite data - a case study over Hong Kong using land use regression models[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(13). |
APA | Anand, Jasdeep S.,&Monks, Paul S..(2017).Estimating daily surface NO2 concentrations from satellite data - a case study over Hong Kong using land use regression models.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(13). |
MLA | Anand, Jasdeep S.,et al."Estimating daily surface NO2 concentrations from satellite data - a case study over Hong Kong using land use regression models".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.13(2017). |
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