A method for designing configurations of nested monitoring wells near landfills

Hudak, Paul F.

doi:10.1007/s100400050157

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…Some of different optimization algorithms used before include: Integer programming [52,67,68]; Mixed integer programming [50,51,58]; SA [55,69]; Simple GA [49,[62][63][64][65]69], and Ant colony optimization [48].…”

Section: Monitoring Network Designmentioning

confidence: 99%

“…A structured approach is required to design detection based groundwater monitoring configurations. Hudak [67] defined the configuration of monitoring wells for a solid water landfill in Tarrant County, Texas, USA. The objective of investigation was to design a monitoring network which is able to minimize the un-detected contaminant plumes in the study area.…”

Section: Monitoring Network Designmentioning

confidence: 99%

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Identification of Contaminant Source Characteristics and Monitoring Network Design in Groundwater Aquifers: An Overview

Amirabdollahian¹,

Datta²

2013

JEP

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The groundwater system is often polluted by different sources of contamination where the sources are difficult to detect. The presence of contamination in groundwater poses significant challenges to its delineation and quantification. The remediation of a contaminated site requires an optimal decision making system to identify the pollutant source characteristics accurately and efficiently. The source characteristics are generally identified using contaminant concentration measurements from arbitrary or planned monitoring locations. To effectively characterize the sources of pollution, the monitoring locations should be selected appropriately. An efficient monitoring network will result in satisfactory characterization of contaminant sources. On the other hand, an appropriate design of monitoring network requires reliable source characteristics. A coupled iterative sequential source identification and dynamic monitoring network design, improves substantially the accuracy of source identification model. This paper reviews different source identification and monitoring network design methods in groundwater contaminant sites. Further, the models for sequential integration of these two models are presented. The effective integration of source identification and dedicated monitoring network design models, distributed sources, parameter uncertainty, and pollutant geo-chemistry are some of the issues which need to be addressed in efficient, accurate and widely applicable methodologies for identification of unknown pollutant sources in contaminated aquifers.

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Section: Monitoring Network Designmentioning

confidence: 99%

Section: Monitoring Network Designmentioning

confidence: 99%

Identification of Contaminant Source Characteristics and Monitoring Network Design in Groundwater Aquifers: An Overview

Amirabdollahian¹,

Datta²

2013

JEP

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“…The surfaces that are generated by this instrument are two-dimensional and are known as radargrams. 18,19 Frequencies between 10 mHz and 1 GHz were used. The above method was used to determine whether the structures observed in the surface area were being projected toward the subsoil.…”

Section: Determination Of Configuration Of the Substratummentioning

confidence: 99%

Geological Characterization and Environmental Implications of the Placement of the Morelia Dump, Michoacán, Central Mexico

Israde-Alcántara

Delgado

Carrillo-Chávez

2005

Journal of the Air & Waste Management Association

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The landfill of Morelia, the capital city of the state of Michoacán in central-western Mexico, is located 12 km west of the city and has operated since 1997 without a structure engineered and designed to control the generation in situ of biogas and leachates. A geological evaluation of the landfill site is presented in this paper. The results indicate that the site lacks ideal impermeable subsurface strata. The subsurface strata consist of highly fractured basaltic lava flows (east-west fault and fracture system trend) and sand-size cineritic material with high permeability and porosity. Geochemical analysis of groundwater from Morelia's municipal aquifer shows a high concentration of heavy metals (Cd, Pb, As) exceeding the Mexican environmental regulations, along with

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“…Hudak defined the configuration of monitoring wells for a solid water landfill in Tarrant County, TX, USA. The objective of investigation was to design a monitoring network which is able to minimize the undetected contaminant plumes in the study area [11]. Dhar and Datta [12] proposed a chance-constrained single and multi-objective nonlinear optimization models which are capable of designing optimal time variant groundwater quality monitoring network.…”

Section: Introductionmentioning

confidence: 99%

Determination of Optimal Water Quality Monitoring Points in Sewer Systems using Entropy Theory

Lee

2013

Entropy

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Abstract:To monitor water quality continuously over the entire sewer network is important for efficient management of the system. However, it is practically impossible to implement continuous water quality monitoring of all junctions of a sewer system due to budget constraints. Therefore, water quality monitoring locations must be selected as those points which are the most representative of the dataset throughout a system. However, the optimal selection of water quality monitoring locations in urban sewer networks has rarely been studied. This study proposes a method for the optimal selection of water quality monitoring points in sewer systems based on entropy theory. The proposed model searches for a quantitative assessment of data collected from monitoring points. The points that maximize the total information among the collected data at multiple locations are selected using genetic algorithm (GA) for water quality monitoring. The proposed model is demonstrated for a small urban sewer system.

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A method for designing configurations of nested monitoring wells near landfills

Cited by 7 publications

References 7 publications

Identification of Contaminant Source Characteristics and Monitoring Network Design in Groundwater Aquifers: An Overview

Identification of Contaminant Source Characteristics and Monitoring Network Design in Groundwater Aquifers: An Overview

Geological Characterization and Environmental Implications of the Placement of the Morelia Dump, Michoacán, Central Mexico

Determination of Optimal Water Quality Monitoring Points in Sewer Systems using Entropy Theory

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