摘要
生态环境与人类生活息息相关,关注公众对生态环境的态度是生态环境监测的重要组成部分。日益丰富的社交媒体数据为获取大范围的公众反馈信息提供了快捷渠道。该文以成渝城市群为研究区,基于微博这一典型社交媒体数据,应用情感分析法并与遥感生态指数(RSEI)分析结果进行对比,从不同尺度探讨微博数据在生态环境监测中的潜力。结果表明:微博数据能够准确反映2010-2018年成渝城市群生态环境的演变,与RSEI的变化趋势一致,且对于区域内各城市,基于微博数据的生态情感指标与RSEI的灰色关联度较高;此外,微博数据能够反映局部区域的生态环境问题,如垃圾污染、绿化破坏和乱焚烧现象等,是对城市尺度生态环境监测的有效补充。微博数据在生态状况趋势评价、生态环境问题阐述和环境问题区域定位等方面具有应用潜力,可契合环境问题管理、完善生态环境监测体系和评价体制等多项应用需求,同时可作为遥感的辅助手段,为生态环境领域提供借鉴。
The ecological environment is closely related to human life,and paying attention to the public′s attitudes and views on the ecological environment is an important part of ecological environment monitoring.The increasing enrichment of social media data provides fast and wide-ranging channels for obtaining public feedback.Taking Chengdu-Chongqing Urban Agglomeration as the research area,based on Weibo,a typical social media data,using sentiment analysis method and remote sensing based ecological index(RSEI),this paper analyzed the potential of Weibo data in ecological environment monitoring from different scales.The results show that Weibo data can accurately reflect the evolution of the ecological environment in Chengdu-Chongqing Urban Agglomeration during 2010-2018,which is consistent with the change trend of RSEI.Moreover,for each city in the region,the eco-emotion index based on Weibo data has a high grey correlation with RSEI.In addition,Weibo data can reflect local ecological and environmental problems,such as garbage pollution,destruction of greenery,and indiscriminate burning,and it is an effective supplement to urban-scale ecological environmental monitoring using RSEI.The research in this paper shows that Weibo data has application potential in the evaluation of ecological conditions,elaboration of ecological and environmental issues,and regional positioning of environmental issues.It meets the needs of many applications such as management of environmental issues,improvement of ecological environment monitoring systems and evaluation systems,and can be used as auxiliary means of remote sensing to provide a reference for the ecological environment field.
作者
陈子娴
周廷刚
李洪忠
潘一铭
CHEN Zi-xian;ZHOU Ting-gang;LI Hong-zhong;PAN Yi-ming(School of Geography Sciences,Southwest University/Key Laboratory of the Three Gorges Reservoir Region′s Eco-environment,Ministry of Education,Chongqing 400715;Center for Geospatial Information,Shenzhen Institution of Advanced Technology,CAS,Shenzhen 518055,China)
出处
《地理与地理信息科学》
CSCD
北大核心
2021年第4期64-71,共8页
Geography and Geo-Information Science
基金
中国科学院战略性先导科技专项(A类)(XDA19030301)
国务院三峡办三峡后续工作库区生态与生物多样性保护专项(5000002013BB5200002-7)
深圳市可持续发展专项(KCXFZ202002011006298)。
关键词
微博数据
生态环境监测
潜力
RSEI
成渝城市群
Weibo data
ecological environment monitoring
potential
RSEI
Chengdu-Chongqing Urban Agglomeration