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Title: Assessing the pollution risk of a groundwater source field at western Laizhou Bay under seawater intrusion

Abstract

Coastal areas have great significance for human living, economy and society development in the world. With the rapid increase of pressures from human activities and climate change, the safety of groundwater resource is under the threat of seawater intrusion in coastal areas. The area of Laizhou Bay is one of the most serious seawater intruded areas in China, since seawater intrusion phenomenon was firstly recognized in the middle of 1970s. This study assessed the pollution risk of a groundwater source filed of western Laizhou Bay area by inferring the probability distribution of groundwater Cl{sup −} concentration. The numerical model of seawater intrusion process is built by using SEAWAT4. The parameter uncertainty of this model is evaluated by Markov Chain Monte Carlo (MCMC) simulation, and DREAM{sub (ZS)} is used as sampling algorithm. Then, the predictive distribution of Cl{sup -} concentration at groundwater source field is inferred by using the samples of model parameters obtained from MCMC. After that, the pollution risk of groundwater source filed is assessed by the predictive quantiles of Cl{sup -} concentration. The results of model calibration and verification demonstrate that the DREAM{sub (ZS)} based MCMC is efficient and reliable to estimate model parameters under current observation. Undermore » the condition of 95% confidence level, the groundwater source point will not be polluted by seawater intrusion in future five years (2015–2019). In addition, the 2.5% and 97.5% predictive quantiles show that the Cl{sup −} concentration of groundwater source field always vary between 175 mg/l and 200 mg/l. - Highlights: • The parameter uncertainty of seawater intrusion model is evaluated by MCMC. • Groundwater source field won’t be polluted by seawater intrusion in future 5 years. • The pollution risk is assessed by the predictive quantiles of Cl{sup −} concentration.« less

Authors:
; ; ;
Publication Date:
OSTI Identifier:
22687754
Resource Type:
Journal Article
Journal Name:
Environmental Research
Additional Journal Information:
Journal Volume: 148; Other Information: Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0013-9351
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; CHLORINE IONS; CLIMATIC CHANGE; ECOLOGICAL CONCENTRATION; GROUND WATER; HEALTH HAZARDS; MARKOV PROCESS; MONTE CARLO METHOD; POLLUTION; RISK ASSESSMENT; SEAWATER

Citation Formats

Zeng, Xiankui, Wu, Jichun, Wang, Dong, E-mail: wangdong@nju.edu.cn, and Zhu, Xiaobin. Assessing the pollution risk of a groundwater source field at western Laizhou Bay under seawater intrusion. United States: N. p., 2016. Web. doi:10.1016/J.ENVRES.2015.11.022.
Zeng, Xiankui, Wu, Jichun, Wang, Dong, E-mail: wangdong@nju.edu.cn, & Zhu, Xiaobin. Assessing the pollution risk of a groundwater source field at western Laizhou Bay under seawater intrusion. United States. doi:10.1016/J.ENVRES.2015.11.022.
Zeng, Xiankui, Wu, Jichun, Wang, Dong, E-mail: wangdong@nju.edu.cn, and Zhu, Xiaobin. Fri . "Assessing the pollution risk of a groundwater source field at western Laizhou Bay under seawater intrusion". United States. doi:10.1016/J.ENVRES.2015.11.022.
@article{osti_22687754,
title = {Assessing the pollution risk of a groundwater source field at western Laizhou Bay under seawater intrusion},
author = {Zeng, Xiankui and Wu, Jichun and Wang, Dong, E-mail: wangdong@nju.edu.cn and Zhu, Xiaobin},
abstractNote = {Coastal areas have great significance for human living, economy and society development in the world. With the rapid increase of pressures from human activities and climate change, the safety of groundwater resource is under the threat of seawater intrusion in coastal areas. The area of Laizhou Bay is one of the most serious seawater intruded areas in China, since seawater intrusion phenomenon was firstly recognized in the middle of 1970s. This study assessed the pollution risk of a groundwater source filed of western Laizhou Bay area by inferring the probability distribution of groundwater Cl{sup −} concentration. The numerical model of seawater intrusion process is built by using SEAWAT4. The parameter uncertainty of this model is evaluated by Markov Chain Monte Carlo (MCMC) simulation, and DREAM{sub (ZS)} is used as sampling algorithm. Then, the predictive distribution of Cl{sup -} concentration at groundwater source field is inferred by using the samples of model parameters obtained from MCMC. After that, the pollution risk of groundwater source filed is assessed by the predictive quantiles of Cl{sup -} concentration. The results of model calibration and verification demonstrate that the DREAM{sub (ZS)} based MCMC is efficient and reliable to estimate model parameters under current observation. Under the condition of 95% confidence level, the groundwater source point will not be polluted by seawater intrusion in future five years (2015–2019). In addition, the 2.5% and 97.5% predictive quantiles show that the Cl{sup −} concentration of groundwater source field always vary between 175 mg/l and 200 mg/l. - Highlights: • The parameter uncertainty of seawater intrusion model is evaluated by MCMC. • Groundwater source field won’t be polluted by seawater intrusion in future 5 years. • The pollution risk is assessed by the predictive quantiles of Cl{sup −} concentration.},
doi = {10.1016/J.ENVRES.2015.11.022},
journal = {Environmental Research},
issn = {0013-9351},
number = ,
volume = 148,
place = {United States},
year = {2016},
month = {7}
}