MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

Rubio-Aliaga, Álvaro; García-Cáscales, M. Socorro; Sánchez-Lozano, Juan Miguel; Molina‐García, Ángel

doi:10.1016/j.renene.2020.08.079

Cited by 31 publications

(11 citation statements)

References 52 publications

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“…However, the calculation process of the fuzzy comprehensive evaluation method is relatively complicated. When there are too many groundwater samples or evaluation indicators, the calculation difficulty will geometrically increase, which is suitable for high-precision evaluation work [20]. e evaluation results of the random matrix model are similar to the fuzzy comprehensive evaluation results, and the influence of each evaluation index on groundwater is also taken into consideration to reduce the influence of abnormal values on the evaluation results.…”

Section: Results Analysismentioning

confidence: 99%

Construction and Application of Groundwater Impact Analysis Model Based on Random Matrix Model

Fang

Tan

2022

Mathematical Problems in Engineering

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Traditional groundwater models do not consider the influence of random factors, so their results of simulation and prediction cannot reflect the actual dynamics of ongoing groundwater changes. By comparing the statistical properties of random multidimensional time series, the random matrix theory can reflect the degree of deviation from randomness in actual data and reveal the behavioral characteristics of the overall correlation in actual data. On the basis of summarizing and analyzing the previous literature, this study expounded the research status and significance of groundwater impact analysis models, elaborated on the development background, current status, and future challenges of the random matrix model, introduced the methods and principles of the finite isometric properties and observation feature dimension, conducted the spectral analysis of the random matrix of groundwater impact analysis data, analyzed the eigenvalue and the eigenvector distribution of the random matrix of the groundwater impact analysis data, constructed a groundwater impact analysis model based on the random matrix model, designed the hydrodynamic model for the groundwater impact analysis, discussed the parameter variation mechanism of the groundwater impact analysis, and finally carried out a case application and its result analysis. The study results show that in the membership calculation formula of the random matrix model, it is found that there is an inverse relationship between the expected value of the target index and its membership value. According to the initial fuzzy membership function value, the random matrix model uses the normalization formula and evaluation criteria of the catastrophe model to carry out a comprehensive quantitative recursive operation and finally determines the concept, characteristics, influencing factors, evaluation content, purpose, and scope of the groundwater impact analysis model. The random matrix model can not only reflect the spatial and temporal differences of groundwater-influencing factors but also reflect the dynamic mechanism of aquifer or groundwater system or the inherent law of groundwater movement, so it is more applicable and convenient to evaluate groundwater resources.

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Section: Results Analysismentioning

confidence: 99%

Construction and Application of Groundwater Impact Analysis Model Based on Random Matrix Model

Fang

Tan

2022

Mathematical Problems in Engineering

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“…That study recognized that there were correlations between the criteria and took account of this in assigning weights. Various options for pumping and storing groundwater were investigated by [156] using 5 main groups of criteria (economic (divided into five sub categories), energy, environmental, water loss, and social) [156]. A combination of methods, AHP (for weights) and TOPSIS for the ranking, was applied to a case study in Spain, that showed how the optimal energy source changed depending on the depth and extent of the aquifer.…”

Section: Focus On Water Supplymentioning

confidence: 99%

Uptake and Dissemination of Multi-Criteria Decision Support Methods in Civil Engineering—Lessons from the Literature

Bruen

2021

Applied Sciences

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The SCOPUS and Wed of Science bibliometric databases were searched for papers related to the use of multi-criteria methods in civil engineering related disciplines. The results were analyzed for information on the reported geographical distribution of usage, the methods used, the application areas with most usage and the software tools used. There was a wide geographical distribution of usage with all northern hemisphere continents well represented. However, of the very many methods available, a small number seemed to dominate usage, with the Analytic Hierarchy Process being the most frequently used. The application areas represented in the documents found was not widely spread and mainly seemed to be focused on issues such as sustainability, environment, risk, safety and to some extent project management, with less usage on other areas. This may be due to individual engineer’s choices in relation to if and how to disseminate the results of their work and to their choice of keywords and titles that determine if their publications are selected in bibliographic searches and thus more visible to a wider readership. A comparison with more topic focused searches, relating to Bridge Design, Earthquake Engineering, Cladding, Sewage Treatment, Foundation design, Truss design, Water Supply, Building Energy, Route selection and Transport mode showed very different results. Analysis of the papers in this area indicated that the full range of supporting software available for multi-criteria decision analysis (many listed in this paper) may not be fully appreciated by potential users.

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“…Production of CO 2 : This criterion refers to the total amount of CO 2 emissions that should be avoided if the groundwater remediation or the mechanisms leads to it [12,25,26].…”

Section: Environmental Criterionmentioning

confidence: 99%

Developing an approach for the sustainability assessment of groundwater remediation technologies based on multi criteria decision making

Idris¹,

Topuz²

2021

Environmental Research and Technology

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Groundwater is regarded as an important supply of drinking water, as well as for agricultural and industrial purposes. Groundwater pollution worsens as a result of several contaminants such as industrial, urban, and agricultural activities, and the difficulty is to select appropriate groundwater remediation methods. This research develops a technique for assessing the sustainability of groundwater remediation methods by integrating the Multi-Criteria Decision Making (MCDM) method with a Fuzzy Inference Engine. A standard approach for assessing the sustainability of groundwater remediation systems has been developed, consisting of four major criteria: economic, technical, environmental, and social. Following the calculations and determining the priority of all the criteria and techniques based on the weights, the results show the sequence of technologies in which Pump and Treat is the best with 7.83, followed by air stripping with 7.04, and monitored natural attenuation and permeable reactive barrier were the last with 3.70 and 3.19, respectively. The criteria that give P&T the most weight is both the technical and social criterion, with a weight of 8.18, while the criterion with the lowest weight was the economic criterion, with a weight of 4.22. The technical, environmental, and social aspects of P&T were all high, making it the optimum technology where the decision-maker or stakeholder can deal with the decline in the economic component, which is also proof of P&T's preferability and the most sustainable one, and It was also feasible to examine all options to determine which factors are reducing their sustainability and which should be addressed in order to enhance sustainability. Cite this article as:Idris SS, Topuz E. Developing an approach for the sustainability assessment of groundwater remediation technologies based on multi criteria decision making. Environ Res Tec 2021;4:4:293-307.

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MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example

Cited by 31 publications

References 52 publications

Construction and Application of Groundwater Impact Analysis Model Based on Random Matrix Model

Construction and Application of Groundwater Impact Analysis Model Based on Random Matrix Model

Uptake and Dissemination of Multi-Criteria Decision Support Methods in Civil Engineering—Lessons from the Literature

Developing an approach for the sustainability assessment of groundwater remediation technologies based on multi criteria decision making

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