Construction of Urban Tree Risk Assessment and Management System Based on Knowledge Graph Analysis

Abstract

Taking the Web of Science core database literature in the field of tree risk research as the research object, using the CiteSpace knowledge map software to analyze the important tree risk research literature over the past 30 years which shows the international tree risk research discipline and journal distribution characteristics, research and practice hotspots and trends. The results show that the international tree risk research has formed a relatively complete research network system and is still expanding rapidly, but has not yet established a cross-regional and interdisciplinary collaborative research mechanism and platform; the research hotspots of tree risk are mainly concentrated in the two fields of risk assessment and detection, and have formed a research paradigm combining quantitative and qualitative research; Urban tree risk research is a key research area in the past 10 years, based on accurate detection urban tree risk research has been a key research area in the last decade, and urban tree risk assessment and management based on accurate detection technology is the latest research trend, providing a greater contribution to the refined management of urban trees. Based on the above research and analysis, the risk management of urban trees in China, especially the risk management about urban street trees, old and valuable trees and so on, should make comprehensive reference to theories of tree mechanics, near-Earth meteorology and other disciplines, and use non-destructive detection means such as downward ground-penetrating radar and ground-based laser scanning technology to carry out stability and risk research of tree risks, and to further improve the risk assessment and management system for urban trees. At the same time, we should make full use of the advantages of modern information technology and big data to build a systematic "whole life cycle" risk management system for urban trees.