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江苏省长江岸线利用率影响因素分析 被引量:9

Factors influencing utilization rate of Yangtze River shoreline in Jiangsu Province
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摘要 利用2002—2018年江苏省沿江地区相关数据分析了长江岸线利用率的变化规律,运用主成分分析法和敏感性分析法研究了可能影响江苏省长江岸线利用率的若干影响因素。结果表明:江苏省长江岸线利用率随时间逐渐增大;岸线利用率变化可以分为两个阶段,2016年以前岸线利用率的增长对社会经济的发展具有明显的支撑作用,2016年以后岸线利用逐渐转化为以提高效率为主;就业人数、工厂数量和内河港口吞吐量是目前影响江苏省长江岸线利用率最主要的因素。通过推进长江岸线生态环境保护治理措施,可以更好地优化产业结构,提高岸线利用效率,助力江苏省高质量发展。 The changing pattern of the Yangtze River shoreline utilization rate in Jiangsu Province from 2002 to 2018 was analyzed based on related data.Principal component analysis and sensitivity analysis were used to analyze factors that may affect the Yangtze River shoreline utilization rate.The results show that the utilization rate of the Yangtze River shoreline in Jiangsu Province gradually increased with time,and the change of shoreline utilization rate can be divided into two stages.Before 2016,the increase in the utilization rate of the shoreline had a significant effect on promoting social and economic development;after 2016,more attention has been placed on the improvement of efficiency of shoreline utilization.It is also concluded that the number of employees,the number of factories,and the throughput of inland river ports are currently the most important factors of the utilization rate of the Yangtze River shoreline in Jiangsu Province.Through implementing the ecological and environmental protection measures of the Yangtze River shoreline,the industrial structure can be further optimized,the utilization efficiency of the shoreline can be improved,and the high-quality development of Jiangsu Province can be promoted.
作者 陈达 钟菁 吴腾 刘振沭 廖迎娣 CHEN Da;ZHONG Jing;WU Teng;LIU Zhenshu;LIAO Yingdi(College of Harbour,Coastal and Offshore Engineering,Hohai University,Nanjing 210098,China;Yangtze Institute for Conservation and Development,Hohai University,Nanjing 210098,China)
出处 《水资源保护》 EI CAS CSCD 北大核心 2022年第3期17-24,共8页 Water Resources Protection
基金 中央高校基本科研业务费专项(B200204042)。
关键词 长江岸线 岸线利用率 主成分分析 敏感性分析 江苏省 Yangtze River shoreline shoreline utilization rate principal component analysis sensitivity analysis Jiangsu Province
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