Understanding the trajectories and driving mechanisms behind land use/land cover(LULC)changes is essential for effective watershed planning and management.This study quantified the net change,exchange,total change,and...Understanding the trajectories and driving mechanisms behind land use/land cover(LULC)changes is essential for effective watershed planning and management.This study quantified the net change,exchange,total change,and transfer rate of LULC in the Jinghe River Basin(JRB),China using LULC data from 2000 to 2020.Through trajectory analysis,knowledge maps,chord diagrams,and standard deviation ellipse method,we examined the spatiotemporal characteristics of LULC changes.We further established an index system encompassing natural factors(digital elevation model(DEM),slope,aspect,and curvature),socio-economic factors(gross domestic product(GDP)and population),and accessibility factors(distance from railways,distance from highways,distance from water,and distance from residents)to investigate the driving mechanisms of LULC changes using factor detector and interaction detector in the geographical detector(Geodetector).The key findings indicate that from 2000 to 2020,the JRB experienced significant LULC changes,particularly for farmland,forest,and grassland.During the study period,LULC change trajectories were categorized into stable,early-stage,late-stage,repeated,and continuous change types.Besides the stable change type,the late-stage change type predominated the LULC change trajectories,comprising 83.31% of the total change area.The period 2010-2020 witnessed more active LULC changes compared to the period 2000-2010.The LULC changes exhibited a discrete spatial expansion trend during 2000-2020,predominantly extending from southeast to northwest of the JRB.Influential driving factors on LULC changes included slope,GDP,and distance from highways.The interaction detection results imply either bilinear or nonlinear enhancement for any two driving factors impacting the LULC changes from 2000 to 2020.This comprehensive understanding of the spatiotemporal characteristics and driving mechanisms of LULC changes offers valuable insights for the planning and sustainable management of LULC in the JRB.展开更多
采用文献计量学方法系统梳理城市洪涝灾害的研究现状、研究热点和发展趋势,以期为城市洪涝灾害后续研究提供参考。基于2008—2019年Web of Science核心集数据库中城市洪涝灾害的相关文献,采用CiteSpace和SATI3.2软件对城市洪涝灾害相关...采用文献计量学方法系统梳理城市洪涝灾害的研究现状、研究热点和发展趋势,以期为城市洪涝灾害后续研究提供参考。基于2008—2019年Web of Science核心集数据库中城市洪涝灾害的相关文献,采用CiteSpace和SATI3.2软件对城市洪涝灾害相关文献的年度频次、发文期刊、发文机构、主题词共现、文献共被引以及研究前沿进行分析。结果表明:城市洪涝灾害的研究热点为气候变化和脆弱性等;城市洪涝灾害相关文献的出版数量与被引频次均呈增长趋势;从发文机构来看,发文机构主要集中在高校;影响、模型等主题词中心度较高,说明这些研究主题在城市洪涝灾害研究中处于重要地位。随着城市洪涝灾害的关注度逐渐上升,其研究视角趋向多元化,城市洪涝灾害的风险管理、应急管理和信息管理将是未来的研究重点。研究结果可为城市防洪减灾与应急管理提供理论参考。展开更多
基金partly funded by the National Key Research and Development Program of China(NK2023190801)the National Foreign Experts Program of China(G2023041024L)the Key Scientific Research Program of Shaanxi Provincial Education Department,China(21JT028)。
文摘Understanding the trajectories and driving mechanisms behind land use/land cover(LULC)changes is essential for effective watershed planning and management.This study quantified the net change,exchange,total change,and transfer rate of LULC in the Jinghe River Basin(JRB),China using LULC data from 2000 to 2020.Through trajectory analysis,knowledge maps,chord diagrams,and standard deviation ellipse method,we examined the spatiotemporal characteristics of LULC changes.We further established an index system encompassing natural factors(digital elevation model(DEM),slope,aspect,and curvature),socio-economic factors(gross domestic product(GDP)and population),and accessibility factors(distance from railways,distance from highways,distance from water,and distance from residents)to investigate the driving mechanisms of LULC changes using factor detector and interaction detector in the geographical detector(Geodetector).The key findings indicate that from 2000 to 2020,the JRB experienced significant LULC changes,particularly for farmland,forest,and grassland.During the study period,LULC change trajectories were categorized into stable,early-stage,late-stage,repeated,and continuous change types.Besides the stable change type,the late-stage change type predominated the LULC change trajectories,comprising 83.31% of the total change area.The period 2010-2020 witnessed more active LULC changes compared to the period 2000-2010.The LULC changes exhibited a discrete spatial expansion trend during 2000-2020,predominantly extending from southeast to northwest of the JRB.Influential driving factors on LULC changes included slope,GDP,and distance from highways.The interaction detection results imply either bilinear or nonlinear enhancement for any two driving factors impacting the LULC changes from 2000 to 2020.This comprehensive understanding of the spatiotemporal characteristics and driving mechanisms of LULC changes offers valuable insights for the planning and sustainable management of LULC in the JRB.
文摘采用文献计量学方法系统梳理城市洪涝灾害的研究现状、研究热点和发展趋势,以期为城市洪涝灾害后续研究提供参考。基于2008—2019年Web of Science核心集数据库中城市洪涝灾害的相关文献,采用CiteSpace和SATI3.2软件对城市洪涝灾害相关文献的年度频次、发文期刊、发文机构、主题词共现、文献共被引以及研究前沿进行分析。结果表明:城市洪涝灾害的研究热点为气候变化和脆弱性等;城市洪涝灾害相关文献的出版数量与被引频次均呈增长趋势;从发文机构来看,发文机构主要集中在高校;影响、模型等主题词中心度较高,说明这些研究主题在城市洪涝灾害研究中处于重要地位。随着城市洪涝灾害的关注度逐渐上升,其研究视角趋向多元化,城市洪涝灾害的风险管理、应急管理和信息管理将是未来的研究重点。研究结果可为城市防洪减灾与应急管理提供理论参考。
