Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires
文献类型:期刊论文
| 作者 | Jiang, Haoyu1,5; Li, Jun1,5; Wang, Jiaqi1,5; Jiang, Hongxing1,5; Mo, Yangzhi1,5; Tang, Jiao1,5; Zhang, Ruijie4; Pansak, Wanwisa3; Zhong, Guangcai1,5; Zhao, Shizhen1,5 |
| 刊名 | ENVIRONMENT INTERNATIONAL
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| 出版日期 | 2022 |
| 卷号 | 170页码:107582 |
| ISSN号 | 0160-4120 |
| DOI | 10.1016/j.envint.2022.107582 |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000883324900003 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/70008] ![]() |
| 专题 | 有机地球化学国家重点实验室 |
| 作者单位 | 1.State Key Laboratory of Organic Geochemistry, Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Joint Laboratory of the Guangdong-Hong Kong-Macao Greater Bay Area for the Environment, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou; 510640, China 2.Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai; 264003, China 3.Department of Agricultural Science, Naresuan University, Phitsanulok; 65000, Thailand 4.School of Marine Sciences, Guangxi University, Nanning; 530004, China 5.CAS Centre for Excellence in Deep Earth Science, Guangzhou; 510640, China |
| 推荐引用方式 GB/T 7714 | Jiang, Haoyu,Li, Jun,Wang, Jiaqi,et al. Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires[J]. ENVIRONMENT INTERNATIONAL,2022,170:107582. |
| APA | Jiang, Haoyu.,Li, Jun.,Wang, Jiaqi.,Jiang, Hongxing.,Mo, Yangzhi.,...&Zhang, Gan.(2022).Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires.ENVIRONMENT INTERNATIONAL,170,107582. |
| MLA | Jiang, Haoyu,et al."Regional monitoring of biomass burning using passive air sampling technique reveals the importance of MODIS unresolved fires".ENVIRONMENT INTERNATIONAL 170(2022):107582. |
入库方式: OAI收割
来源:广州地球化学研究所
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