Effectiveness evaluation of objective and subjective weighting methods for aquifer vulnerability assessment in urban context

Sahoo, Madhumita; Sahoo, Satiprasad; Dhar, Anirban; Pradhan, Biswajeet

doi:10.1016/j.jhydrol.2016.08.035

Cited by 87 publications

(34 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, when evaluating the comprehensive grade of all courses for each student in a class, the information provided by the series of the original course scores was effective, and the series should be used to calculate the corresponding entropy value and the weight of each course. Nevertheless, when The previous studies [22][23][24][25][26]28,38] mostly used the original index value to calculate the corresponding entropy value when applying the entropy weight method. However, it is not reasonable to always utilize the information provided by the original index for different study objects.…”

Section: Weight Of Each Decision-making Index In the Respective Subsymentioning

confidence: 99%

“…The difference in index weight for the two seasons may be caused by the difference in the distance of grey relation coefficients between every two schemes. Moreover, the combined weights of sixteen indices were calculated (Table 8) according to Equation (24), and the corresponding minimum values of objective function F in Equation (23) were 0.596 and 1.425 during the 2015 and 2016 seasons, respectively.…”

Section: Cropping Seasonmentioning

confidence: 99%

“…Nevertheless, there is a lack of a general method with strong applicability for calculating index weight in comprehensive decision-making problems. In recent years, information entropy theory has been used to obtain index weight [24][25][26]. However, the proportion of each index in the original research issue is often changed when applying this method [27,28].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit

Jiang

Jin

et al. 2019

Entropy

View full text Add to dashboard Cite

To provide a scientific reference for formulating an effective soybean irrigation schedule in the Huaibei Plain, potted water deficit experiments with nine alternative irrigation schemes during the 2015 and 2016 seasons were conducted. An irrigation scheme decision-making index system was established from the aspects of crop water consumption, crop growth process and crop water use efficiency. Moreover, a grey entropy weight method and a grey relation–projection pursuit model were proposed to calculate the weight of each decision-making index. Then, nine alternative schemes were sorted according to the comprehensive grey relation degree of each scheme in the two seasons. The results showed that, when using the entropy weight method or projection pursuit model to determine index weight, it was more direct and effective to obtain the corresponding entropy value or projection eigenvalue according to the sequence of the actual study object. The decision-making results from the perspective of actual soybean growth responses at each stage for various irrigation schemes were mostly consistent in 2015 and 2016. Specifically, for an integrated target of lower water consumption and stable biomass yields, the scheme with moderate-deficit irrigation at the soybean branching stage or seedling stage and adequate irrigation at the flowering-podding and seed filling stages is relatively optimal.

show abstract

Section: Weight Of Each Decision-making Index In the Respective Subsymentioning

confidence: 99%

Section: Cropping Seasonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit

Jiang

Jin

et al. 2019

Entropy

View full text Add to dashboard Cite

show abstract

“…The scientific basis viz-a-viz the theory and the established algorithm for the DIM technically adapt the weight linear combination (WLC) mathematically, where the weight, the range and the rating of imputes are often expressed numerically. The information on the model working principle has been documented in several studies of Sahoo et al (2016), Mogaji (2017) and Aller et al (1987). According to Ettazarini and El Mahmouhi (2004), the hydrogeological parameters component for the workability of the model includes: depth to water table (D), net recharge (R), aquifer media (A), soil media (S), topography or slope (T), impact of the vadose zone (I) and hydraulic conductivity (C).…”

Section: Drastic Index Model (Dim) Theorymentioning

confidence: 99%

Application of vulnerability modeling techniques in groundwater resources management: a comparative study

Mogaji

2018

Appl Water Sci

View full text Add to dashboard Cite

The sustainability management of groundwater resource globally is challenged by its vulnerability to pollution resulting from anthropogenic activities. In order to address this problem, the DRASTIC index model (DIM) method among the existing vulnerability modeling techniques is commonly used. OWA-DRASTIC index model (ODIM) technique is another recently developed method for the same task. This study investigated the application of these vulnerability-biased modeling methods in a multi-faceted geologic setting at Perak Province, Malaysia with the view of establishing their efficiencies. The models considered seven pollution potential conditioning factors (PPCFs) obtained from difference data sources. Applying the GIS-based multi-criterial algorithm of these models, the PPCFs were related for developing multi-parameters-based vulnerability index model equations. Groundwater vulnerability to pollution index (GVPI) maps was produced from the synthesized estimated results of the applied multi-parameters-based vulnerability index model equations. The reliability of the produced GVPI maps was established using analyzed groundwater quality data results. The obtained prediction accuracy results for the ODIM-based GVPI map and DIM-based GVPI map are 85.71 and 64.29%, respectively. Besides, the regression coefficient results obtained from the spatially estimate from the DIM and ODIM' vulnerability index's values relationship with the pH and manganese concentrations give 83 and 85% for the ODIM technique and 68 and 63% for the DIM technique, respectively. The overall results indicated that the applied ODIM method in the area is a better alternative to the conventional DIM method. The produced GVPI maps can be useful to regional planners and environmental managers entrusted with the protection of groundwater resource.

show abstract

“…This approach might take full advantage of learned knowledge, but the use of different experts could lead to different assessment results. The objective weight methods include principal component analysis [29,30], the entropy weight method [31,32], and the variation coefficient method [33,34]. These methods are mainly based on real data rather than expert judgments, taking advantage of the objectivity of real data, but the utilized data may not conform precisely to the actual situation.…”

Section: Introductionmentioning

confidence: 99%

Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health

Fang

2020

IJERPH

View full text Add to dashboard Cite

Safety assessment of a casting workshop will provide a clearer understanding of the important safety level required for a foundry. The main purpose of this study was to construct a composite safety assessment method to protect employee health using the cloud model and cause and effect–Layer of Protection Analysis (LOPA). In this study, the weights of evaluation indicators were determined using the subjective analytic hierarchy process and objective entropy weight method respectively. Then, to obtain the preference coefficient of the integrated weight more precisely, a new algorithm was proposed based on the least square method. Next, the safety level of the casting workshop was presented based on the qualitative and quantitative analysis of the cloud model, which realized the uncertainty conversion between qualitative concepts and their corresponding quantitative values, as well as taking the fuzziness and randomness into account; the validity of cloud model evaluation was validated by grey relational analysis. In addition, cause and effect was used to proactively identify factors that may lead to accidents. LOPA was used to correlate corresponding safety measures to the identified risk factors. 6 causes and 19 sub-causes that may contribute to accidents were identified, and 18 potential remedies, or independent protection layers (IPLs), were described as ways to protect employee health in foundry operations. A mechanical manufacturing business in Hunan, China was considered as a case study to demonstrate the applicability and benefits of the proposed safety assessment approach.

show abstract

Effectiveness evaluation of objective and subjective weighting methods for aquifer vulnerability assessment in urban context

Cited by 87 publications

References 35 publications

Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit

Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit

Application of vulnerability modeling techniques in groundwater resources management: a comparative study

Safety Assessment of Casting Workshop by Cloud Model and Cause and Effect–LOPA to Protect Employee Health

Contact Info

Product

Resources

About