Journal of Environmental Protection

Journal of Environmental Protection

ISSN Print: 2152-2197
ISSN Online: 2152-2219
www.scirp.org/journal/jep
E-mail: jep@scirp.org
"Identification of Contaminant Source Characteristics and Monitoring Network Design in Groundwater Aquifers: An Overview"
written by Mahsa Amirabdollahian, Bithin Datta,
published by Journal of Environmental Protection, Vol.4 No.5A, 2013
has been cited by the following article(s):
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[12] Interval Discrete Equation as a Model of Soil and Groundwater Contamination by Nitrogen Dioxide and Nitrogen Acid
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[14] A GA Based Iterative Model for Identification of Unknown Groundwater Pollution Sources Considering Noisy Data
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[15] Parallel heuristic search strategy based on a Bayesian approach for simultaneous recognition of contaminant sources and aquifer parameters at DNAPL …
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[16] A comprehensive review on the design and optimization of surface water quality monitoring networks
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[17] Development and evaluation of models for assessing geochemical pollution sources with multiple reactive chemical species for sustainable use of aquifer systems …
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[18] Influence of the spatial and temporal monitoring design on the identification of an instantaneous pollutant release in a river
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[19] Identification of clandestine groundwater pollution sources using heuristics optimization algorithms: a comparison between simulated annealing and particle swarm …
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[20] Groundwater Contamination
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[21] Localization of Groundwater Contaminant Sources Using Artificially Enhanced Catchment
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[22] Markov Chain Monte Carlo with Neural Network Surrogates: Application to Contaminant Source Identification
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[23] Groundwater contaminant source characterization with simulation model parameter estimation utilizing a heuristic search strategy based on the stochastic-simulation …
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[24] Groundwater Pollution: Present Perspectives and Remediation-A review
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[25] Contaminant source localization via Bayesian global optimization.
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[26] Applying Isotope Techniques and Modeling to Identify the Nitrogen Source in Göksu Delta.
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[27] An effective method for point pollution source identification in rivers with performance-improved ensemble Kalman filter
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[28] Identification of transient contaminant sources in aquifers through a surrogate model based on a modified self-organizing-maps algorithm
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[29] A Review on Groundwater Pollution
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[34] Symmetry reductions and group-invariant solutions for models arising in water and contaminant transport
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[35] Optimal identification of unknown groundwater contaminant sources in conjunction with designed monitoring networks
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[36] Identification of groundwater pollution sources by a SCE-UA algorithm-based simulation/optimization model
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[37] New approach for point pollution source identification in rivers based on the backward probability method
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[38] An Effective Kalman Filter-Based Method for Groundwater Pollution Source Identification and Plume Morphology Characterization
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[39] New Hybrid Optimization Methodology to Identify Pollution Sources Considering the Source Locations and Source Flux as Unknown
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[40] Application of a link simulation optimization model utilizing quantification of hydrogeologic uncertainty to characterize unknown groundwater contaminant sources
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[41] Field application at a DNAPL-contaminated site in Nanjing and discussion of a source search algorithm based on stochastic modeling and Kalman filter
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[42] Adaptive Surrogate Model Based Optimization (ASMBO) for Unknown Groundwater Contaminant Source Characterizations Using Self-Organizing Maps
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[43] Application of Simulated Annealing and Adaptive Simulated Annealing in Search for Efficient Optimal Solutions of a Groundwater Contamination related Problem
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[44] Identification of immiscible NAPL contaminant sources in aquifers by a modified two-level saturation based imperialist competitive algorithm
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[45] Contaminant source localization via Bayesian global optimization
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[46] Evaluation of Unknown Groundwater Contaminant Sources Characterization Efficiency under Hydrogeologic Uncertainty in an Experimental Aquifer Site by …
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[47] Evaluation of unknown groundwater contaminant sources characterization efficiency under hydrogeologic uncertainty in an experimental aquifer site by utilizing …
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[48] Application of simulated annealing in search for efficient optimal solutions of a groundwater contamination related problem
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[49] GROUNDWATER CONTAMINATION PLUME DELINEATION USING LOCAL SINGULARITY MAPPING TECHNIQUE
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[50] Simulation of Groundwater Contaminant Transport at a Decommissioned Landfill Site—A Case Study, Tainan City, Taiwan
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[51] A hybrid simulation–optimization approach for solving the areal groundwater pollution source identification problems
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[52] Linked Optimal Reactive Contaminant Source Characterization in Contaminated Mine Sites: Case Study
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[53] Development of integrated methodologies for optimal monitoring and source characterization in contaminated groundwater systems under uncertainty
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[54] Optimal characterization of pollutant sources in contaminated aquifers by integrating sequential-monitoring-network design and source identification: methodology …
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[55] Optimal characterization of pollutant sources in contaminated aquifers by integrating sequential-monitoring-network design and source identification: methodology and an application in Australia
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[56] CONTAMINATED GROUNDWATER MONITORING NETWORK DESIGN DEDICATED TO REDUCE UNCERTAINTY
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[57] Reliability Evaluation of Groundwater Contamination Source Characterization under Uncertain Flow Field
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[58] Characterization of Groundwater Pollution Sources with Unknown Release Time History
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[59] Encapsulating the Role of Solution Response Space Roughness on Global Optimal Solution: Application in Identification of Unknown Groundwater Pollution Sources
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[60] IDENTIFICATION OF POLLUTANT SOURCE CHARACTERISTICS UNDER UNCERTAINTY IN CONTAMINATED WATER RESOURCES SYSTEMS USING ADAPTIVE SIMULATED ANEALING AND FUZZY LOGIC
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[61] Application of Genetic Programming Models Incorporated in Optimization Models for Contaminated Groundwater Systems Management
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[62] Optimal monitoring network design and identification of unknown pollutant sources in polluted aquifers
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[63] Identification of pollutant source characteristics under uncertainty in contaminated water resources systems using adaptive simulated anealing and fuzzy …
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[64] Multiobjective Monitoring Network Design for Efficient Identification of Unknown Groundwater Pollution Sources Incorporating Genetic Programming–Based …
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[65] Efficient identification of unknown groundwater pollution sources using linked simulation-optimization incorporating monitoring location impact factor and frequency …
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[66] Determination of Optimal Water Quality Monitoring Points in Sewer Systems using Entropy Theory
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[67] A Multi-Objective Monitoring Network Design for Efficient Identification of Unknown Groundwater Pollution Sources Incorporating Genetic Programming Based Monitoring
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[68] Efficient Identification of Unknown Groundwater Pollution Sources Using Linked Simulation-Optimization Incorporating Monitoring Location Impact Factor and Frequency Factor
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[69] A Study of Ground Water Contamination In Janjgir Champa District of Chhattisgarh
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