scholarly journals Application of set pair analysis based on the improved five-element connectivity in the evaluation of groundwater quality in XuChang, Henan Province, China

2016 ◽  
Vol 17 (3) ◽  
pp. 632-642 ◽  
Author(s):  
Furong Yu ◽  
Jihong Qu ◽  
Zhiping Li ◽  
Zhipeng Gao
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Comprehensive Evaluation ◽  
Groundwater Resources ◽  
Fuzzy Comprehensive Evaluation ◽  
Underground Water ◽  
Henan Province ◽  
Hazardous Substances ◽  
Set Pair Analysis ◽  
Pair Analysis

The evaluation of groundwater quality plays an important part in the evaluation of groundwater resources. It analyses the temporal and spatial distributions and utilisation of underground water according to the main components and corresponding water quality standards for underground water. Thereby, it can provide a scientific basis for the development, utilisation, planning, and management of groundwater resources. Set pair analysis (SPA), based on the improved five-element connectivity degree, was used in this research to establish a comprehensive evaluation model of water quality, so as to evaluate the groundwater quality in XuChang, Henan Province, China. Meanwhile, fuzzy evaluation was also used to measure groundwater quality. As demonstrated in the research results, SPA is proven to be convenient and useful with objective and stable results, it therefore is an effective approach with which to evaluate groundwater quality. In addition, the results obtained using SPA matched those from fuzzy comprehensive evaluation; it was concluded, based on the analysis, that the groundwater in XuChang was severely polluted. The groundwater quality at the observation points located in the lower reaches is poorer than that of the upper reaches; hazardous substances permeate underground to pollute shallow groundwater through decomposition and loss due to weathering and rainfall.

scholarly journals Hydrogeochemical Characteristics and Groundwater Quality Evaluation Based on Multivariate Statistical Analysis

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2792
Author(s):  
Yunxu Chai ◽  
Changlai Xiao ◽  
Mingqian Li ◽  
Xiujuan Liang
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Evaluation ◽  
Control Mechanism ◽  
Groundwater Resources ◽  
Fuzzy Comprehensive Evaluation ◽  
Multivariate Statistical ◽  
Rock Interaction ◽  
Geological Conditions ◽  
Development And Management

Hydrogeochemical research and water quality evaluation are an important part of groundwater development and management projects in Dehui City, Jilin Province, China. We collected 217 groundwater samples in the study area and used two multivariate statistical methods, hierarchical cluster analysis and principal component analysis to classify groundwater; combined graphical method, piper diagram, and Gibbs diagram to characterize groundwater chemical types and distinguish the water chemical control mechanism; and fuzzy comprehensive evaluation method to evaluate groundwater quality. Three major categories have been identified. Most of the groundwater in the study area is Ca-HCO3 type water. The water chemistry control mechanism is determined to be based on water-rock interaction and less evaporation. From east to west in the study area, the total dissolved solids (TDS) gradually increased, and water quality gradually deteriorated. In the whole region, 79.26% of the groundwater is suitable for drinking. With Yinma River at the boundary, the water quality in the eastern part is excellent, while that in the southwest is poor. After appropriate treatment, it can be used in industry and agriculture. The excess NO3− is mainly affected by human activities. The unique geological conditions of the Songnen Plain result in an excess amount of Fe3+ and Mn2+ in some areas. This study determined the chemical characteristics of groundwater in the study area and distinguished water quality levels. The results will be helpful for the development and management of groundwater resources.

scholarly journals Application of Set Pair Analysis Method Based on Entropy Weight in Groundwater Quality Assessment -A Case Study in Dongsheng City, Northwest China

2011 ◽  
Vol 8 (2) ◽  
pp. 851-858 ◽  
Author(s):  
Li Pei-Yue ◽  
Qian Hui ◽  
Wu Jian-Hua
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Assessment ◽  
Assessment Model ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Entropy Weight ◽  
Groundwater Quality Assessment ◽  
Pair Analysis

Groundwater quality assessment is an essential study which plays important roles in the rational development and utilization of groundwater. Groundwater quality greatly influences the health of local people. However, most traditional water quality comprehensive assessment methods which have complicated formulas are difficult to apply in water quality assessment. In this paper, a novel method for groundwater quality assessment called set pair analysis was introduced and entropy weight was assigned to each index to improve the assessment model. The calculation steps are depicted in the paper and take groundwater quality assessment in Dongsheng City as a case study. The assessment results indicated that groundwater qualities in the study area were relatively good, Set Pair Analysis method, which was an optimal method for groundwater quality assessment and worth promoting, was easy to use and calculation processes which use almost all the relative information were simple, results were reasonable, reliable and intuitive.

Fuzzy Comprehensive Evaluation on the Projects Risk Based Set Pair Analysis

2012 ◽  
Vol 490-495 ◽  
pp. 1221-1225
Author(s):  
Gao Yang Li
Keyword(s):  
Risk Assessment ◽  
Risk Evaluation ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Qualitative Assessment ◽  
Set Pair Analysis ◽  
Pair Analysis ◽  
Spa Model

This paper builds projects risk evaluation index system, and makes the projects risk evaluation from a qualitative assessment to a quantitative evaluation; Then, Making use of the advantage about SPA and fuzzy comprehensive evaluation, index weights are made by the set pair analysis (SPA) model and projects risk of fuzzy comprehensive evaluation is built; Lastly, a case is used to show the combine of set pair analysis and fuzzy comprehensive evaluation for projects risk assessment feasible.

Fuzzy Comprehensive Evaluation Based on Set Pair Analysis of the Rural Power Grid Planning Project

2013 ◽  
Vol 756-759 ◽  
pp. 2663-2667
Author(s):  
Jian Xun Qi ◽  
Shu Liang Liu ◽  
Juan Li Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Power Grid ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Set Pair Analysis ◽  
Planning Project ◽  
Power Grid Planning ◽  
Grid Planning ◽  
Pair Analysis

On the basis of discussing the basic features of rural power grid planning project and the status quo, this paper has constructed evaluation index system of the rural power grid planning project, and based on the characteristics of its particularity and indicators, established a fuzzy comprehensive evaluation model based on set pair analysis. It has carried on the comprehensive evaluation to some county in power grid planning project to verify the validity of the selected method. It will provide referential basis for the scientific decision of county power enterprises.

Analysis of Water Quality Assessment Model Based on the SPA Theory

2014 ◽  
Vol 587-589 ◽  
pp. 657-662
Author(s):  
Su Di Gao ◽  
Qing Lin Luo ◽  
Yan Jun Wei ◽  
Qian Qian Chen
Keyword(s):  
Water Quality ◽  
Quality Assessment ◽  
River Water ◽  
Comprehensive Evaluation ◽  
Water Quality Assessment ◽  
Assessment Model ◽  
Set Pair Analysis ◽  
Model Based ◽  
Analysis Theory ◽  
Pair Analysis

The comprehensive evaluation of water quality is an important foundation work for environmental planning and management.Because of the characteristics of fuzziness and impreciseness of river water system, the water quality assessment model based on the set pair analysis theory (WQA-SPA) for evaluating water quality of the river mainstream is proposed. The WQA-SPA model couples fuzzy logic theory and set pair analysis theory, combining identity、discrepancy and contrary (IDC). According to this model, the water level recognition results and the membership of various levels can be calculated by using the river water quality data. Research shows that the evaluation result is accurate, credible. It has a certain value in the comprehensive evaluation of various types of known systems.

scholarly journals The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang
Keyword(s):  
Groundwater Quality ◽  
Human Activities ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydrochemical Characteristics ◽  
Analytic Hierarchy ◽  
Liaohe River ◽  
Geological Conditions ◽  
Type Water

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.

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