Cargando…
Research on drinking-groundwater source safety management based on numerical simulation
A drinking-groundwater source protection technology system based on a three-dimensional finite-difference groundwater model was constructed and applied to the safe management of drinking groundwater in the first terrace of Fujiang River. In the study area, the main type of groundwater is the quatern...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511949/ https://www.ncbi.nlm.nih.gov/pubmed/32968176 http://dx.doi.org/10.1038/s41598-020-72520-7 |
_version_ | 1783586061617725440 |
---|---|
author | Song, Kai Ren, Xu Mohamed, Adam Khalifa Liu, Jian Wang, Fei |
author_facet | Song, Kai Ren, Xu Mohamed, Adam Khalifa Liu, Jian Wang, Fei |
author_sort | Song, Kai |
collection | PubMed |
description | A drinking-groundwater source protection technology system based on a three-dimensional finite-difference groundwater model was constructed and applied to the safe management of drinking groundwater in the first terrace of Fujiang River. In the study area, the main type of groundwater is the quaternary systemic alluvial deposit loose rock pore water and the aquifer thickness varies between 20 and 35 m. Groundwater is the main source of water and is used for various purposes through two exploitation wells. The water volumes of 1# exploitation well (1#) and 2# exploitation well (2#) are 10,000 m(3)/day and 5000 m(3)/day, respectively. An analysis of 22 indicators from 11 groundwater samples showed that a higher concentration of chemical-oxygen-demand (COD(Mn)) and ammonia–nitrogen (NH(3)–N), and they had a high correlation with most of the other water-quality factors. Therefore, COD(Mn) and NH(3)–N were selected as indicator factors for model calibration and prediction. Twenty-two hydraulic head observation wells were used for flow-model calibration. The flow model indicated that a drop funnel formed with a maximum depth of 12 m, and the particle-capture zone in the original downstream direction of the south side extended to 1100 m because of groundwater exploitation. The solute-transport model showed that industrial pollution sources were the main factors that led to a deterioration of water quality. To analyze the necessity and effectiveness of remediation measures for the safety of drinking-water sources, two scenarios were considered to predict the concentration of NH(3)-N and COD(Mn) in groundwater exploitation wells over 20 years. Scenario I, which considered that current conditions were maintained, predicted that the NH(3)-N would exceed the drinking-water quality standard of 0.5 mg/L after 16 years. Scenario II, in which industrial sewage treatment plants were installed outside the particle-trapped zone of the exploitation wells and strict anti-seepage measures were implemented, predicted that the peak concentrations of NH(3)-N and COD(Mn) in the exploitation wells would be 0.26 mg/L and 1.33 mg/L, respectively, after 3 years of model operation. This study provides a theoretical basis for drinking-groundwater source protection that can be applied to safety management practices. |
format | Online Article Text |
id | pubmed-7511949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75119492020-09-29 Research on drinking-groundwater source safety management based on numerical simulation Song, Kai Ren, Xu Mohamed, Adam Khalifa Liu, Jian Wang, Fei Sci Rep Article A drinking-groundwater source protection technology system based on a three-dimensional finite-difference groundwater model was constructed and applied to the safe management of drinking groundwater in the first terrace of Fujiang River. In the study area, the main type of groundwater is the quaternary systemic alluvial deposit loose rock pore water and the aquifer thickness varies between 20 and 35 m. Groundwater is the main source of water and is used for various purposes through two exploitation wells. The water volumes of 1# exploitation well (1#) and 2# exploitation well (2#) are 10,000 m(3)/day and 5000 m(3)/day, respectively. An analysis of 22 indicators from 11 groundwater samples showed that a higher concentration of chemical-oxygen-demand (COD(Mn)) and ammonia–nitrogen (NH(3)–N), and they had a high correlation with most of the other water-quality factors. Therefore, COD(Mn) and NH(3)–N were selected as indicator factors for model calibration and prediction. Twenty-two hydraulic head observation wells were used for flow-model calibration. The flow model indicated that a drop funnel formed with a maximum depth of 12 m, and the particle-capture zone in the original downstream direction of the south side extended to 1100 m because of groundwater exploitation. The solute-transport model showed that industrial pollution sources were the main factors that led to a deterioration of water quality. To analyze the necessity and effectiveness of remediation measures for the safety of drinking-water sources, two scenarios were considered to predict the concentration of NH(3)-N and COD(Mn) in groundwater exploitation wells over 20 years. Scenario I, which considered that current conditions were maintained, predicted that the NH(3)-N would exceed the drinking-water quality standard of 0.5 mg/L after 16 years. Scenario II, in which industrial sewage treatment plants were installed outside the particle-trapped zone of the exploitation wells and strict anti-seepage measures were implemented, predicted that the peak concentrations of NH(3)-N and COD(Mn) in the exploitation wells would be 0.26 mg/L and 1.33 mg/L, respectively, after 3 years of model operation. This study provides a theoretical basis for drinking-groundwater source protection that can be applied to safety management practices. Nature Publishing Group UK 2020-09-23 /pmc/articles/PMC7511949/ /pubmed/32968176 http://dx.doi.org/10.1038/s41598-020-72520-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Song, Kai Ren, Xu Mohamed, Adam Khalifa Liu, Jian Wang, Fei Research on drinking-groundwater source safety management based on numerical simulation |
title | Research on drinking-groundwater source safety management based on numerical simulation |
title_full | Research on drinking-groundwater source safety management based on numerical simulation |
title_fullStr | Research on drinking-groundwater source safety management based on numerical simulation |
title_full_unstemmed | Research on drinking-groundwater source safety management based on numerical simulation |
title_short | Research on drinking-groundwater source safety management based on numerical simulation |
title_sort | research on drinking-groundwater source safety management based on numerical simulation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511949/ https://www.ncbi.nlm.nih.gov/pubmed/32968176 http://dx.doi.org/10.1038/s41598-020-72520-7 |
work_keys_str_mv | AT songkai researchondrinkinggroundwatersourcesafetymanagementbasedonnumericalsimulation AT renxu researchondrinkinggroundwatersourcesafetymanagementbasedonnumericalsimulation AT mohamedadamkhalifa researchondrinkinggroundwatersourcesafetymanagementbasedonnumericalsimulation AT liujian researchondrinkinggroundwatersourcesafetymanagementbasedonnumericalsimulation AT wangfei researchondrinkinggroundwatersourcesafetymanagementbasedonnumericalsimulation |