中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integrating social media and field investigations to monitor contaminated sites

文献类型:期刊论文

作者Jiang, Yefeng1; Shi, Zhou1; Xia, Fang2; Xu, Zhe3
刊名JOURNAL OF CLEANER PRODUCTION
出版日期2022-07-15
卷号358页码:10
关键词China Text mining Sentiment analysis Large-scale monitoring
ISSN号0959-6526
DOI10.1016/j.jclepro.2022.132072
通讯作者Xia, Fang(xiaf@zafu.edu.cn)
英文摘要Field investigations can be used to accurately monitor contaminated sites; however, their high cost makes it impossible to realise real-time monitoring over a large area (e.g. on a national scale). Although the use of social media enables the large-scale, real-time, and low-cost monitoring of contaminated sites, its effectiveness is flawed. In this study, we propose a novel framework by integrating field investigations and social media data to monitor contaminated sites, using China as an example. Our analyses indicated that the number of positive, negative, and neutral tweets posted by social media users accounted for 38.8%, 57.5%, and 3.7% of the study area, respectively, exhibiting a positive trend over time in different provinces. The number of user tweets and contaminated sites indicates similar trends, and there is significant spatial agglomeration between the two datasets; the former can explain 36.2% of the difference among different provinces in the latter. Additionally, when the number of user tweets increased by one, the mean number of potentially contaminated sites increased by 0.38. In cities, after major contaminated site incidents, the number of user tweets and negative sentiments significantly increased. The present results suggest that social media and field investigations complement each other and can provide support for the real-time monitoring of contaminated sites on a global scale in the future.
WOS关键词PUBLIC PERCEPTION ; CHINA ; TIME
资助项目Key Research and Development Program of Zhejiang Province, China[2020C03011] ; Zhejiang Province Public Welfare Technology Application Research Project[LGN22D010003]
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000803848800003
出版者ELSEVIER SCI LTD
资助机构Key Research and Development Program of Zhejiang Province, China ; Zhejiang Province Public Welfare Technology Application Research Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/178853]  
专题中国科学院地理科学与资源研究所
通讯作者Xia, Fang
作者单位1.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol Applica, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China
2.Zhejiang A&F Univ, Coll Econ & Management, Hangzhou 311300, Peoples R China
3.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Jiang, Yefeng,Shi, Zhou,Xia, Fang,et al. Integrating social media and field investigations to monitor contaminated sites[J]. JOURNAL OF CLEANER PRODUCTION,2022,358:10.
APA Jiang, Yefeng,Shi, Zhou,Xia, Fang,&Xu, Zhe.(2022).Integrating social media and field investigations to monitor contaminated sites.JOURNAL OF CLEANER PRODUCTION,358,10.
MLA Jiang, Yefeng,et al."Integrating social media and field investigations to monitor contaminated sites".JOURNAL OF CLEANER PRODUCTION 358(2022):10.

入库方式: OAI收割

来源:地理科学与资源研究所

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