首页|Geographical big data and data mining:A new opportunity for"water-energy-food"nexus analysis

Geographical big data and data mining:A new opportunity for"water-energy-food"nexus analysis

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Since the Bonn 2011 conference,the"water-energy-food"(WEF)nexus has aroused global concern to promote sustainable development.The WEF nexus is a complex,dynamic,and open system containing interrelated and interdependent elements.However,the nexus studies have mainly focused on natural elements based on massive earth obser-vation data.Human elements(e.g.,society,economy,politics,culture)are described insuffi-ciently,because traditional earth observation technologies cannot effectively perceive socio-economic characteristics,especially human feelings,emotions,and experiences.Thus,it is difficult to simulate the complex WEF nexus.With the development of earth observation sensor technologies and human activity perception methods,geographical big data covering both human activities and natural elements offers a new opportunity for in-depth WEF nexus analysis.This study proposes a five-step framework by leveraging geographical big data mining to dig for the hidden value in the data of various natural and human elements.This framework can enable a thorough and comprehensive analysis of the WEF nexus.Some application examples of the framework,major challenges,and possible solutions are dis-cussed.Geographical big data mining is a promising approach to enhance the analysis of the WEF nexus,strengthen the coordinated management of resources and sectors,and facilitate the progress toward sustainable development.

geographical big datadata mining"water-energy-food"nexusinteraction mechanismssustainabil-ityresources security

YANG Jie、CAO Xiaoshu、YAO Jun、KANG Zhewen、CHANG Jianxia、WANG Yimin

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Northwest Land and Resources Research Center,Global Regional and Urban Research Institute,Institute of Transport Geography and Spatial Planning,Shaanxi Normal University,Xi'an 710119,China

Hanjiang-to-Weihe River Valley Water Diversion Project Construction Co.Ltd.,Shaanxi Province,Xi'an 710010,China

State Key Laboratory of Eco-hydraulics in Northwest Arid Region,Xi'an University of Technology,Xi'an 710048,China

National Natural Science Foundation of ChinaFundamental Research Funds for the Central UniversitiesChina Postdoctoral Science FoundationShaanxi Province Postdoctoral Science Foundation

52209030GK2022070052023M7321632023BSHYDZZ110

2024

地理学报(英文版)
中国地理学会,中国科学院地理科学与资源研究所

地理学报(英文版)

CSTPCD
影响因子:1.307
ISSN:1009-637X
年,卷(期):2024.34(2)
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