Spatiotemporal Distribution of Atmospheric Pollutants and Its Relationship with Vegetation Index in the Major Grain-Producing Areas of China
文献类型：期刊论文
| 作者 | Zang, Zhenfeng2,3; Li, Yonghua3; Zhang, Fengying1 |
| 刊名 | WATER AIR AND SOIL POLLUTION
 |
| 出版日期 | 2022-03-01 |
| 卷号 | 233期号:3页码:12 |
| 关键词 | Spatiotemporal distribution Atmospheric pollutants Vegetation index GWR Major grain-producing areas |
| ISSN号 | 0049-6979 |
| DOI | 10.1007/s11270-022-05563-3 |
| 通讯作者 | Li, Yonghua(yhli@igsnrr.ac.cn) |
| 英文摘要 | The problem of air pollution in China is serious, and the air pollution characteristics and influencing factors are varied in different regions. Based on the environmental monitoring data of atmospheric pollutants (PM2.(5,) PM10, SO2, NO2, CO, and O-3) in Henan province, a major grain-producing area of China, we conducted the hot spot analysis and regression analysis and used a geographically weighted regression (GWR) model to explore the spatial and temporal distribution of atmospheric pollutants, and we investigated the relationship between atmospheric pollutants and normalized differential vegetation index (NDVI). According to the spatial distribution pattern, the high value areas of atmospheric pollutants were primarily concentrated in the northern, which was consistent with the distribution results of hot spots. From the perspective of temporal variation, the concentrations of PM2.5, PM10, SO2, NO2, and CO were highest in winter, followed by spring and autumn, and lowest in summer, while O-3 showed the opposite variation characteristics. The correlation analysis results showed that PM2.(5), PM10, SO2, NO2, and CO had significantly negative correlations with NDVI, while O-3 had a significantly positive correlation with NDVI. Results of the GWR model, which was used to detect the spatial relationship between atmospheric pollutants and NDVI, indicated that the woodland vegetation had a more positive influence compared with the cultivated land vegetation on reducing PM2.5 and PM10. Therefore, the increase in woodland vegetation coverage in farming areas can reduce atmospheric pollutants to an extent. |
| WOS关键词 | YANGTZE-RIVER DELTA ; PARTICULATE MATTER PM10 ; AIR-POLLUTION ; SPATIAL-DISTRIBUTION ; EMISSION INVENTORY ; HOT-SPOTS ; PM2.5 ; IMPACTS ; CITIES ; EVOLUTION |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Science[XDA19040303] |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000765766600002 |
| 出版者 | SPRINGER INT PUBL AG |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Science |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/171577]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Yonghua |
| 作者单位 | 1.China Natl Environm Monitoring Ctr, Beijing 100012, Peoples R China 2.North China Univ Water Resources & Elect Power, Coll Water Resources, Zhengzhou 450046, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zang, Zhenfeng,Li, Yonghua,Zhang, Fengying. Spatiotemporal Distribution of Atmospheric Pollutants and Its Relationship with Vegetation Index in the Major Grain-Producing Areas of China[J]. WATER AIR AND SOIL POLLUTION,2022,233(3):12. |
| APA | Zang, Zhenfeng,Li, Yonghua,&Zhang, Fengying.(2022).Spatiotemporal Distribution of Atmospheric Pollutants and Its Relationship with Vegetation Index in the Major Grain-Producing Areas of China.WATER AIR AND SOIL POLLUTION,233(3),12. |
| MLA | Zang, Zhenfeng,et al."Spatiotemporal Distribution of Atmospheric Pollutants and Its Relationship with Vegetation Index in the Major Grain-Producing Areas of China".WATER AIR AND SOIL POLLUTION 233.3(2022):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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