Pollution Source Identification in Groundwater Systems: Application of Regret Theory and Bayesian Networks-Reference-Cited by-同舟云学术

Pollution Source Identification in Groundwater Systems: Application of Regret Theory and Bayesian Networks

Published:2016-06-30 Issue:3 Volume:40 Page:241-249
ISSN:2228-6160
Container-title:Iranian Journal of Science and Technology, Transactions of Civil Engineering
language:en
Short-container-title:Iran J Sci Technol Trans Civ Eng

Author:

Bashi-Azghadi Seyyed Nasser,Kerachian Reza,Bazargan-Lari Mohammad Reza,Nikoo Mohammad Reza

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Link

http://link.springer.com/content/pdf/10.1007/s40996-016-0022-3.pdf

Reference36 articles.

1. Afshar A, Najafi E (2014) Consequence management of chemical intrusion in water distribution networks under inexact scenarios. J Hydroinform 16(1):178–188

2. Akbari A, Ardestani M, Shayegan J (2012) Distribution and mobility of petroleum hydrocarbons in soils: case study of South Pars gas complex, southern Iran. Iran J Sci Technol Trans Civil Eng 36(C2):265–275

3. American Society of Civil Engineers Task Committee on Long-Term Groundwater Monitoring Design (2003) Long-term groundwater monitoring: the state of the art. Reston, VA

4. Atmadja J, Bagtzoglou AC (2001) State of the art report on mathematical methods to reliable of groundwater pollution source identification. Environ Forensics 2(3):205–214

5. Bashi-Azghadi SN, Kerachian R (2010) Locating monitoring wells in groundwater systems using embedded optimization and simulation models. Sci Total Environ 408(10):2189–2198

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigating agricultural water sustainability in arid regions with Bayesian network and water footprint theories;Science of The Total Environment;2024-11

2. Identification of groundwater pollution sources based on optimal layout of groundwater pollution monitoring network;Stochastic Environmental Research and Risk Assessment;2024-06-19

3. A novel integration of regret-based methodology and bankruptcy theory for waste load allocation;Environmental Science and Pollution Research;2024-05-24

4. A Novel Integration of Regret-Based Methodology and Bankruptcy Theory for Waste Load Allocation;2024-02-19

5. Contamination of groundwater by petroleum hydrocarbons: Impact of fuel stations in residential areas;Heliyon;2024-02