基于文献计量的城市洪涝研究现状及趋势-《南京师大学报（自然科学版）》

文章信息/Info

Title:: Current Status and Trends of Urban Flood Research Based on Bibliometrics

作者:: 梁益银¹; 2; 3; 金恒旭¹; 2; 3; 葛潇钦⁴; 高祎璇¹; 2; 3; 卢海鹏¹; 2; 3; 李泰钢¹; 2; 3; 张书亮¹; 2; 3; (1.南京师范大学虚拟地理环境教育部重点实验室,江苏南京 210023)
(2.江苏省地理信息资源开发与利用协同创新中心,江苏南京 210023)
(3.南京师范大学地理科学学院,江苏南京 210023)
(4.绍兴市上虞区自然资源监测中心,浙江绍兴 312300)

Author(s):: Liang Yiyin¹; 2; 3; Jin Hengxu¹; 2; 3; Ge Xiaoqin⁴; Gao Yixuan¹; 2; 3; Lu Haipeng¹; 2; 3; Li Taigang¹; 2; 3; Zhang Shuliang¹; 2; 3; (1.Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing 210023,China)
(2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
(3.School of Geography,Nanjing Normal University,Nanjing 210023,China)
(4.Natural Resources Monitoring Center of Shangyu District,Shaoxing City,Shaoxing 312300,China)

摘要:: 当前,城市洪涝领域研究文献浩繁,但宏观视角下的文献计量分析仍显不足,这在一定程度上制约了对该领域研究全局性和系统性的深入理解. 本文以Web of Science(WoS)核心数据库和中国知网(CNKI)数据库文献作为数据源,利用计量分析工具CiteSpace及VOSviewer的知识图谱可视化功能,全面梳理了2003—2023年城市洪涝研究现状与发展趋势. 结果表明:①城市洪涝研究热度逐年上升,且中国已经成为研究领域中崭露头角的重要引领者; ②研究趋势呈现“机理探究-数值模拟-风险管理-脆弱性-韧性”的时空演化路径; ③人工智能和大数据等技术已成为洪涝模拟研究的新兴方向,显著提升了模拟的准确性和效率; ④面对复杂的城市洪涝问题,研究者逐渐意识到,仅依靠工程性措施难以应对,更需从城市韧性和脆弱性综合考虑.

Abstract:: Currently,there is a vast amount of research literature in the field of urban flood,but there is still a lack of macroscopic perspective in bibliometric analysis. This to some extent hinders a comprehensive and systematic understanding of research in this field. By utilizing data from Web of Science core collection and CNKI databases,and employing the knowledge graph visualization capabilities of bibliometric tools CiteSpace and VOSviewer,this paper thoroughly combs the current status and developmental trends of urban flood research from 2003 to 2023. The results indicate that:①Research interest in urban flood has been rising annually,with China emerging as a prominent leader in this field. ②The research trends show a path of “mechanism exploration-numerical simulation-risk management-vulnerability-resilience”. ③Technologies such as artificial intelligence and big data have become emerging directions in flood simulation research,significantly enhancing the accuracy and efficiency of simulations. ④Faced with complex urban flood issues,researchers are gradually realizing that relying solely on engineering measures is inadequate and there is a greater need for comprehensive consideration of urban resilience and vulnerability.