Research progress in fingerprint technology identifying sediment source in the past 30 years
CHEN Qitao1, WANG Tian1,2, LI Zhanbin1,2, ZHANG Jiao1, LI Peng1,2, CHENG Shengdong1,2
1. State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, 710048, Xi'an, China; 2. Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi'an University of Technology, 710048, Xi'an, China
摘要为宏观掌握指纹识别泥沙来源的发展动态，为水土保持工作开展和土壤侵蚀研究提供参考方向，基于Web of Science核心论文集、中国知网（CNKI）数据库，采用CiteSpace软件和数理统计及文献计量法，对1991—2021年累计30年间的指纹识别泥沙来源领域内发布的期刊论文进行分析。结果显示：1997年起指纹技术识别泥沙来源研究开始快速增长，2013—2019年达到高热期，近3年有所下降；中国、美国和英国是现阶段的主要研究国家；英国、法国和德国是指纹识别泥沙来源研究的先驱；在合作研究方面，美国地质调查局与全球4个主要中心机构（中国科学院、洛桑研究所、西班牙研究委员会和巴黎萨克雷大学）有密切的合作联系；研究主要涉及环境、生态和地质3个领域，具体研究内容为指纹因子的选取，评价和判断泥沙贡献率的分析方法，且研究区域主要集中在农业区附近的流域。目前该领域的研究前沿为不确定性的考虑（潜在源地的识别与分类、样品采集、指纹性质变异等）、指纹因子再提升、多样区域和更大流域尺度、向实用工具转变。如何将指纹识别泥沙来源方法做成系统性的实用监测和评估工具，从而扩大应用范围以及减少该方法的成本是未来的重点研究方向之一。
Abstract：[Background] Soil erosion is one of the major global environmental issues. As one of the core contents of soil erosion research, the source of sediment in watersheds has received widespread attention and research. The identification of sediment sources has an important role and significance for the analysis of the temporal and spatial distribution characteristics of soil erosion and the benefit evaluation of soil and water conservation measures. Fingerprint recognition technology has been developing for many years, and various research methods have emerged in an endless stream. Understanding the development process of research and cutting-edge hotspots has become an important prerequisite for technological development.[Methods] To grasp the frontiers and application hotspots of fingerprint identification of sediment sources at home and abroad, mathematical statistics and bibliometric methods were used to analyze the journal papers published in the field of fingerprint identification of sediment sources for 30 years from 1991 to 2021, based on the core papers of Web of Science and CNKI database, CiteSpace software.[Results] The fingerprint technology to identify the source of sediment has started to grow rapidly since 1997, reached a high fever period in 2013-2019, and reached a peak of 150 articles in 2019. China, the United States, and the United Kingdom were the main research countries at this stage. The cumulative number of papers published by the three was more than 60% of the total number of statistics. China accounted for 19.2%, the United States accounts for 23.88%, and the United Kingdom accounts for 20.85%. In particular, the United States accounted for 32.67% of the highly cited papers selected. The United Kingdom, France, and Germany were pioneers in the study of fingerprint identification of the source of sediment. In terms of cooperative research, the U.S. Geological Survey has close cooperative ties with four major global centers (Chinese Academy of Sciences, Lausanne Research Institute, Spanish Research Council, and the University of Paris-Saclay). The research mainly was involved the three fields of environment, ecology, and geology. The specific research content was the selection of fingerprint factors, the analysis method of evaluating and judging the contribution rate of sediment, and the research area was mainly concentrated in the watershed near the agricultural area. The current research frontiers in this field were the consideration of uncertainty (identification and classification of potential sources, sample collection, variation of fingerprint properties, etc.), and the improvement of analytical models.[Conclusions] The current research frontiers in this field are the consideration of uncertainties (identification and classification of potential sources, sample collection, variation of fingerprint properties, etc.), further improvement of fingerprint factors, diverse regions and larger watershed scales, and transformation to practical tools cutting edge research will be broader in scale, the research perspective will be more thorough and in-depth, and the accuracy of the research data will be higher and more accurate. How to reduce the cost of this method is also one of the key research directions in the future.
陈琦涛, 王添, 李占斌, 张皎, 李鹏, 程圣东. 指纹技术识别泥沙来源近30年研究进展[J]. 中国水土保持科学, 2023, 21(2): 124-131.
CHEN Qitao, WANG Tian, LI Zhanbin, ZHANG Jiao, LI Peng, CHENG Shengdong. Research progress in fingerprint technology identifying sediment source in the past 30 years. SSWC, 2023, 21(2): 124-131.
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2023, Vol. 21 
