登录窗口
作者登录 审稿登录 编辑登录 读者登录
订阅 | 旧版入口 | English
 
  • 首页
  • 期刊简介
  • 编委会
  • 作者投稿
  • 订阅指南
  • 联系我们
  • 过刊目录
###
DOI:10.16418/j.issn.1000-3045.20210714003
中国科学院院刊:2021,36(8):950-962
查看/发表评论     过刊浏览    高级检索     HTML
←前一篇   |   后一篇→
本文二维码信息
码上扫一扫!
下载全文
地球大数据支撑可持续发展目标协同与权衡研究:进展与展望
董金玮1, 陈玉2,3, 周岩1, 殷嘉迪1, 赵芮1
(1.中国科学院地理科学与资源研究所 北京 100101;2.中国科学院空天信息创新研究院 北京 100094;3.可持续发展大数据国际研究中心 北京 100094)
Big Earth Data Supports Synergies and Trade-offs of Sustainable Development Goals: Progress and Prospect
DONG Jinwei1, CHEN Yu2,3, ZHOU Yan1, YIN Jiadi1, ZHAO Rui1
(1.Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;3.International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 2105次   下载 3151次
投稿时间:2021-08-09    
中文摘要: 联合国《改变我们的世界:2030年可持续发展议程》是各国实现经济、社会和环境共同发展的重要指南。当前,该议程的17个可持续发展目标(SDGs)的监测和评价已取得重要进展,但各SDGs间相互作用,特别是SDGs间的协同和权衡关系的认知仍较有限。文章首先从全部目标关系的综合分析、典型多目标关系分析、单目标内子指标间的关系3个方面描述了当前SDGs协同与权衡的研究进展和主要发现;并针对研究中的数据瓶颈问题,剖析了地球大数据支撑多目标协同和权衡的思路及典型案例;在此基础上,对地球大数据促进SDGs协同和权衡研究进行了展望。研究表明,地球大数据在提升SDG指标数据一致性、透明性、时效性和准确性等方面能够发挥重要作用,可以改进前期基于专家知识或统计数据等方法的不足,为提升多目标协同和权衡研究的定量水平提供重要数据支撑。最后,应对SDGs权衡的挑战,提出了完善地球大数据支撑SDGs协同与权衡的方法体系并构建模拟与预警平台、加强不同领域和主体的合作、强化技术创新推动等建议。
中文关键词: 地球大数据  可持续发展目标  权衡  协同
Abstract:The United Nations Sustainable Development Goals (SDGs) are an important guide for different countries and regions to achieve sustainable economic, social, and environmental developments. They include 17 goals and 169 specific targets. The interactions among the goals can be manifested as synergy or trade-off; that is, implementing one or more goals may positively or negatively affect other goals. At present, important progress has been made in the monitoring and evaluation of individual goals. However, our understanding of the synergies and trade-offs among multiple SDGs is still limited. Firstly, this paper describes the current progress in the synergy and trade-offs of SDGs from three aspects:comprehensive analyses of all the SDGs, thematic analyses of few relevant SDGs, and the relationship of the specific indicators under certain SDG. Secondly, in view of the data bottleneck in the current studies, combined with the latest progress of the Big Earth Data, this paper showcases the typical scenarios of the Big Earth Data supporting studies of the synergy and trade-off of SDGs. Thirdly, the Big Earth Data's potential and future research prospects on the synergies and trade-offs of SDGs are proposed. This study shows that SDG synergy and trade-off analyses have experienced three stages:a semiquantitative evaluation based on expert knowledge, correlation analyses based on statistical data, and quantitative analyses based on the Big Earth Data. Different data sources from different countries could lead to varying results, and the Big Earth Data plays a vital role in promoting data consistency and transparency between countries. Therefore, it provides crucial support for the understanding of synergies and trade-offs of SDGs. The purpose of this study is to summarize the latest progress of synergy and trade-off studies of SDGs, which has received less attention in SDG-related research, and to support decision making for realizing the economic, environmental, and social goals together.
keywords: Big Earth Data  sustainable development goals (SDGs)  synergy  
文章编号:     中图分类号:    文献标志码:
基金项目:中国科学院战略性先导科技专项(A类)(XDA19040301),国家自然科学基金(41871349)
作者单位
董金玮1* 中国科学院地理科学与资源研究所 北京 100101 
陈玉2,3 中国科学院空天信息创新研究院 北京 100094
可持续发展大数据国际研究中心 北京 100094 
周岩1 中国科学院地理科学与资源研究所 北京 100101 
殷嘉迪1 中国科学院地理科学与资源研究所 北京 100101 
赵芮1 中国科学院地理科学与资源研究所 北京 100101 
Author NameAffiliation
DONG Jinwei1* Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 
CHEN Yu2,3 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China 
ZHOU Yan1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 
YIN Jiadi1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 
ZHAO Rui1 Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 
引用文本:
董金玮,陈玉,周岩,殷嘉迪,赵芮.地球大数据支撑可持续发展目标协同与权衡研究:进展与展望[J].中国科学院院刊,2021,36(8):950-962.
DONG Jinwei,CHEN Yu,ZHOU Yan,YIN Jiadi,ZHAO Rui.Big Earth Data Supports Synergies and Trade-offs of Sustainable Development Goals: Progress and Prospect[J].Bulletin of Chinese Academy of Sciences,2021,36(8):950-962.
 
 
您是第34916242位访问者!
1996-2021 中国科学院版本所有 备案序号: 京ICP备05002857
地址:北京三里河路52号 邮编 100864 Email:bulletin@cashq.ac.cn
技术支持:北京勤云科技发展有限公司