Identification of the long-term variations of groundwater and their governing factors based on hydrochemical and isotopic data in a river basin
Authors:
- Ziyue YinZYZiyue Yin
- Qiankun LuoQLQiankun Luo
- Jianfeng WuJWJianfeng Wu
- Shaohui XuSXShaohui Xu
- Jichun WuJWJichun Wu
- 1 January 2021
- journal article
- research article
- Published by Elsevier in Journal of Hydrology
- Vol. 592
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (41772254)
- National Key Research and Development Program of China (2016YFC0402800, 2019YFC1805302)
- Fundamental Research Funds for the Central Universities (14380105)
This publication has 59 references indexed in Scilit:
- New technologies reduce greenhouse gas emissions from nitrogenous fertilizer in ChinaProceedings of the National Academy of Sciences, 2013
- Essentials of the self-organizing mapNeural Networks, 2013
- Water quality sample collection, data treatment and results presentation for principal components analysis – literature review and Illinois River watershed case studyWater Research, 2012
- Iron occurrence in soils and sediments of a coastal catchmentGeoderma, 2010
- Dynamic of Sea Water Interface using Hydrochemical Facies Evolution DiagramGroundwater, 2010
- Kohonen neural network and factor analysis based approach to geochemical data pattern recognitionJournal of Geochemical Exploration, 2009
- Exploring groundwater hydrochemistry of alluvial aquifers using multi-way modelingAnalytica Chimica Acta, 2007
- Clustering of the self-organizing mapIEEE Transactions on Neural Networks, 2000
- Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysisWater Research, 2000
- Self-organized formation of topologically correct feature mapsBiological Cybernetics, 1982