Nan Liu, Meng Chen, Dongdong Gao, Yong Wu, Xiaotong Wang
{"title":"Identification of hydrogeochemical processes in shallow groundwater using multivariate statistical analysis and inverse geochemical modeling.","authors":"Nan Liu, Meng Chen, Dongdong Gao, Yong Wu, Xiaotong Wang","doi":"10.1007/s10661-024-13528-8","DOIUrl":null,"url":null,"abstract":"<p><p>Identifying key factors that control the chemical evolution of groundwater along groundwater flow direction is essential in ensuring the safety of groundwater resources in upper watersheds and lower plains. In this study, the ion ratio, multivariate statistics, and inverse geochemical modeling were used to investigate and explore the chemical characteristics of groundwater and factors driving the formation of groundwater components in the plain area of Deyang City, China. The chemical type of groundwater in the area was dominated by the HCO<sub>3</sub>-Ca type, and the variation in groundwater chemical composition was mainly affected by water-rock interaction and human interference. The water-rock interaction process includes carbonate dissolution, oxidation-reduction reactions, and cation exchange. Furthermore, inverse geochemical modeling revealed that the dissolution of evaporite minerals, dissolution/precipitation of carbonate minerals, and weathering of silicate minerals play a key role in the hydrogeochemical evolution of groundwater. Owing to dissimilar geological and hydrological conditions, hydrogeochemical evolution processes differ along different and similar paths. Overall, this study not only provides a conceptual framework for hydrochemical evolution in plains but also has important implications for the sustainable management of groundwater resources in other basins within plains.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 2","pages":"135"},"PeriodicalIF":2.9000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Monitoring and Assessment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s10661-024-13528-8","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Identifying key factors that control the chemical evolution of groundwater along groundwater flow direction is essential in ensuring the safety of groundwater resources in upper watersheds and lower plains. In this study, the ion ratio, multivariate statistics, and inverse geochemical modeling were used to investigate and explore the chemical characteristics of groundwater and factors driving the formation of groundwater components in the plain area of Deyang City, China. The chemical type of groundwater in the area was dominated by the HCO3-Ca type, and the variation in groundwater chemical composition was mainly affected by water-rock interaction and human interference. The water-rock interaction process includes carbonate dissolution, oxidation-reduction reactions, and cation exchange. Furthermore, inverse geochemical modeling revealed that the dissolution of evaporite minerals, dissolution/precipitation of carbonate minerals, and weathering of silicate minerals play a key role in the hydrogeochemical evolution of groundwater. Owing to dissimilar geological and hydrological conditions, hydrogeochemical evolution processes differ along different and similar paths. Overall, this study not only provides a conceptual framework for hydrochemical evolution in plains but also has important implications for the sustainable management of groundwater resources in other basins within plains.
期刊介绍:
Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.