Application of DRASTIC Entropy Weight Model Method in Groundwater Vulnerability Evaluation in Ordos Area

Wang, Wei; Wen-xu, Wang; Zhu, Lin; Rui, Cheng; Lishan, Meng; Chen, Sheming; Liu, Futian

doi:10.1088/1755-1315/702/1/012058

Cited by 5 publications

(3 citation statements)

References 1 publication

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“…The entropy weight TOPSIS method is used to set the index weights, and the economic transformation capacity of 11 resource-recycling cities in China from 2013 to 2016 is measured. On the basis of the Drastic model, Wang introduced the entropy weight coefficient method to determine the index weight and established the DRASTIC entropy weight model [22]. In the end, a more scientific index weight that is closer to the actual situation of the study area is obtained, which provides an important reference and basis for the protection of regional groundwater resources.…”

Section: Methods For Determining Index Weightmentioning

confidence: 99%

Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain

Wang

Liang

2021

Land

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Soil remediation technology has achieved good results at present, but evaluation research on the soil remediation effect is relatively lacking. In the field of soil remediation effect evaluation, there are problems such as unscientific and imperfect indices and the inability to guarantee the authenticity of data. Based on the research results of domestic and foreign scholars and the soil remediation standards of some developed countries, a set of recommended indices for soil remediation evaluation has been formed through the analysis and screening of a large number of documents and the results of expert consultation. However, there are phenomena such as lack of data authenticity, information asymmetry, and low supervision efficiency. Based on the technical characteristics of the blockchain and the current soil remediation effect evaluation requirements, combined with the research results of domestic and foreign scholars and the soil remediation standards of some developed countries, the core technology and corresponding application scenarios were analysed for functional requirements in this paper. The introduction of blockchain technology will improve the authenticity of data and form a decentralized, trustworthy, and traceable supervision model. Finally, an evaluation index system of the soil remediation effect based on blockchain was constructed from the following five aspects: collection of soil remediation indices, the addition of a new blockchain-based soil remediation effect evaluation and supervision model, the determination of index weights, a list of soil remediation effect evaluation indices, and providing feedback and suggestions. Through the application of blockchain technology and the innovative addition of the “regional policy” evaluation index, changes and innovations were made in all aspects of the soil remediation effect evaluation process.

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Section: Methods For Determining Index Weightmentioning

confidence: 99%

Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain

Wang

Liang

2021

Land

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“…Entropy weight calculation was based on Wei et al's work (Wei et al, 2021). assuming that (i = 1, 2,..., m) values are used to evaluate.…”

Section: Modification Of Drastic Weightage By Entropy (Drastic-en)mentioning

confidence: 99%

Assessing Groundwater Vulnerability and Addressing Salinization in the Coastal Region of Ba Ria-Vung Tau Province, Vietnam: An Enhanced DRASTIC Model Approach

Au¹,

Vy²,

Thủy³

2023

Preprint

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For coastal areas, groundwater aquifers' salinization has intensified due to multiple reasons, e.g., climate changes, continuous groundwater exploitation, and other anthropogenic activities. In Ba Ria – Vung Tau province, the Pleistocene aquifer is an essential source of water supply for drinking, agriculture, and industrial purposes. Thus, a groundwater vulnerability assessment was required. The objective of the study is to estimate groundwater vulnerability against salinization by applying the overlay index model DRASTIC (Depth of water, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and hydraulic Conductivity) together with geographic information system (GIS). The modified DRASTIC models were applied to improve the consistency of the conventional model with the actual conditions of the study area. The total dissolved solid (TDS) data collected from 31 monitoring boreholes was applied to validate the groundwater vulnerability assessments. The results show that around 0.97%, 84.94%, and 14.09% of areas fall under low, moderate, and high vulnerable zones, respectively. They also confirm the seaward-increasing tendency of vulnerability. The study demonstrates that optimizing a conventional DRASTIC model through Entropy weight modification and integrating the land use layer in the original DRASTIC (DRASTIC-EN-LU) model had the best performance. Among the intrinsic factors, D, I, and LU are the most sensitive parameters in the study area. The accurate assessment of groundwater vulnerability is necessary for control and prevention in the province of Ba Ria-Vung Tau. Findings of this study can help authorities of Ba Ria-Vung Tau province in groundwater protection and decision-making with regards to salinization.

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“…The entropy approach is one of the weighting techniques used recently to assess the efficiency of the information and the dispersion of the data [14]. The DRASTIC index with variable weights according to the Entropy method has been a latest popular application, typically in China [5,15], India [16] and Iran [17]. Research have demonstrated the viability and suitability of Entropy weighting in the groundwater vulnerability assessment index.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Assessment of the Upper-Middle Pleistocene (qp_2-3) Aquifer in Ho Chi Minh City, Vietnam Using GIS and Expanded DRASTIC Methods

Nguyen,

Tat,

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The groundwater vulnerability assessment model (DRASTIC) for zoning sensitivity based on natural and objective factors of aquifers is currently used and applied widely. In this study, we have expanded the weights in the DRASTIC index through the Entropy weight-based technique and visualized them in association with GIS for assessing the vulnerability of the Upper-Middle Pleistocene aquifer in Ho Chi Minh City, Vietnam. The value of Entropy weights calculated from the collected dataset of 106 monitoring boreholes of the study area. The Entropy-DRASTIC results divided into three categories: 9.45% of the study area was in the high vulnerability zones, low and medium vulnerability zones are 21.5% and 69.05% of the total study area, respectively. The highly vulnerable area, which is shallow aquifer roofs and recharged significantly (directly from rains or runoff from the surface flows exposed to contaminants from runoff flows). Low vulnerability areas with clay cover are weak permeability and medium vulnerability area is a sizable transitional zone surrounding the high and low vulnerability. This result suggests that the DRASTIC index model in association with GIS is a useful tool to assist policymakers in formulating solutions for the use of groundwater resources. Importantly, this finding is useful to the local authorities in shaping regulations on the use and exploitation of groundwater resources in suburban areas, where the public water supply network is inadequate, constrained groundwater resource and exposed to contamination.

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Application of DRASTIC Entropy Weight Model Method in Groundwater Vulnerability Evaluation in Ordos Area

Cited by 5 publications

References 1 publication

Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain

Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain

Assessing Groundwater Vulnerability and Addressing Salinization in the Coastal Region of Ba Ria-Vung Tau Province, Vietnam: An Enhanced DRASTIC Model Approach

Vulnerability Assessment of the Upper-Middle Pleistocene (qp_2-3) Aquifer in Ho Chi Minh City, Vietnam Using GIS and Expanded DRASTIC Methods

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Application of DRASTIC Entropy Weight Model Method in Groundwater Vulnerability Evaluation in Ordos Area

Cited by 5 publications

References 1 publication

Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain

Research on the Evaluation Index System of the Soil Remediation Effect Based on Blockchain

Assessing Groundwater Vulnerability and Addressing Salinization in the Coastal Region of Ba Ria-Vung Tau Province, Vietnam: An Enhanced DRASTIC Model Approach

Vulnerability Assessment of the Upper-Middle Pleistocene (qp2-3) Aquifer in Ho Chi Minh City, Vietnam Using GIS and Expanded DRASTIC Methods

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Product

Resources

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Vulnerability Assessment of the Upper-Middle Pleistocene (qp_2-3) Aquifer in Ho Chi Minh City, Vietnam Using GIS and Expanded DRASTIC Methods