Developing new spectral indices for identifying DOM sources in Liaohe River in a large-scale river basin by fluorescence spectroscopy and random forest model
Haojing Zhang , Junwen Hou , Lei Nie , Yan Hao , Hongjie Gao , Huibin Yu
{"title":"Developing new spectral indices for identifying DOM sources in Liaohe River in a large-scale river basin by fluorescence spectroscopy and random forest model","authors":"Haojing Zhang , Junwen Hou , Lei Nie , Yan Hao , Hongjie Gao , Huibin Yu","doi":"10.1016/j.psep.2025.107553","DOIUrl":null,"url":null,"abstract":"<div><div>Human activities can have a tremendous impact on rivers. The leaching of riparian soil, discharge of industrial wastewater, agricultural activities, and domestic sewage discharge can all introduce new dissolved organic matter (DOM) into rivers, thereby altering the structure of the original DOM in the river. In recent years, fluorescence traceability technology, especially three-dimensional fluorescence spectroscopy (3D-EEM) combined with parallel factor analysis (PARAFAC), has become an important tool to study the source and change of DOM. However, there are differences in the definition and calculation methods of the traditional fluorescence index, which leads to its limited applicability in different water bodies, so it is unable to accurately distinguish the sources of pollutants. Here, by combining the random forest model with three-dimensional to two-dimensional, taking the Liaohe River Basin as the research object, a new fluorescence traceability model is constructed. Divide it into three sources, i.e., originating from urb sewage, agricultural wastewater and soil organic matter, and thus defined as U-DOM, A-DOM, T-DOM, respectively. Based on the random forest model, special nodes of three-dimensional fluorescence spectrum can be identified, which can be tracked from three sources. It was closely related to the key peaks and nodes of EEM from three different sources, i.e., URB sewage (U-SoI: U-1/U-2 =(Ex: 245, Em: 440)nm/((Ex: 230, Em: 345)nm), agricultural wastewater (A-SoI: A-1/A-2 =( Ex: 245, Em: 325)nm/( Ex: 260, Em: 430)nm) and soil organic matter (T-SoI: T-1/T-2 =( Ex: 260, Em: 430)nm/( Ex: 285, Em: 365)nm). It is found that when U-SoI is greater than 0.9, it can be recognized as a typical U-DOM; When A-SoI is between 0.2 and 0.3, it indicates that it is A-DOM; When T-SoI is less than 0.5, it is displayed as T-DOM. Compared with the traditional fluorescence index traceability method, the new traceability model shows that the operation is more convenient and efficient, can provide more accurate traceability results, and can flexibly distinguish the source of pollutants according to the specific environment and pollution characteristics, so as to better adapt to the traceability requirements in different scenarios.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"201 ","pages":"Article 107553"},"PeriodicalIF":7.8000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Process Safety and Environmental Protection","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957582025008201","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Human activities can have a tremendous impact on rivers. The leaching of riparian soil, discharge of industrial wastewater, agricultural activities, and domestic sewage discharge can all introduce new dissolved organic matter (DOM) into rivers, thereby altering the structure of the original DOM in the river. In recent years, fluorescence traceability technology, especially three-dimensional fluorescence spectroscopy (3D-EEM) combined with parallel factor analysis (PARAFAC), has become an important tool to study the source and change of DOM. However, there are differences in the definition and calculation methods of the traditional fluorescence index, which leads to its limited applicability in different water bodies, so it is unable to accurately distinguish the sources of pollutants. Here, by combining the random forest model with three-dimensional to two-dimensional, taking the Liaohe River Basin as the research object, a new fluorescence traceability model is constructed. Divide it into three sources, i.e., originating from urb sewage, agricultural wastewater and soil organic matter, and thus defined as U-DOM, A-DOM, T-DOM, respectively. Based on the random forest model, special nodes of three-dimensional fluorescence spectrum can be identified, which can be tracked from three sources. It was closely related to the key peaks and nodes of EEM from three different sources, i.e., URB sewage (U-SoI: U-1/U-2 =(Ex: 245, Em: 440)nm/((Ex: 230, Em: 345)nm), agricultural wastewater (A-SoI: A-1/A-2 =( Ex: 245, Em: 325)nm/( Ex: 260, Em: 430)nm) and soil organic matter (T-SoI: T-1/T-2 =( Ex: 260, Em: 430)nm/( Ex: 285, Em: 365)nm). It is found that when U-SoI is greater than 0.9, it can be recognized as a typical U-DOM; When A-SoI is between 0.2 and 0.3, it indicates that it is A-DOM; When T-SoI is less than 0.5, it is displayed as T-DOM. Compared with the traditional fluorescence index traceability method, the new traceability model shows that the operation is more convenient and efficient, can provide more accurate traceability results, and can flexibly distinguish the source of pollutants according to the specific environment and pollution characteristics, so as to better adapt to the traceability requirements in different scenarios.
期刊介绍:
The Process Safety and Environmental Protection (PSEP) journal is a leading international publication that focuses on the publication of high-quality, original research papers in the field of engineering, specifically those related to the safety of industrial processes and environmental protection. The journal encourages submissions that present new developments in safety and environmental aspects, particularly those that show how research findings can be applied in process engineering design and practice.
PSEP is particularly interested in research that brings fresh perspectives to established engineering principles, identifies unsolved problems, or suggests directions for future research. The journal also values contributions that push the boundaries of traditional engineering and welcomes multidisciplinary papers.
PSEP's articles are abstracted and indexed by a range of databases and services, which helps to ensure that the journal's research is accessible and recognized in the academic and professional communities. These databases include ANTE, Chemical Abstracts, Chemical Hazards in Industry, Current Contents, Elsevier Engineering Information database, Pascal Francis, Web of Science, Scopus, Engineering Information Database EnCompass LIT (Elsevier), and INSPEC. This wide coverage facilitates the dissemination of the journal's content to a global audience interested in process safety and environmental engineering.