Evaluation and Prediction of Karst Groundwater Quality in Taiyuan Lancun Spring Area

2015 ◽  
Vol 1092-1093 ◽  
pp. 1145-1149
Author(s):  
Yan Li ◽  
Yong Bo Zhang
Keyword(s):  
Groundwater Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Total Hardness ◽  
Karst Water ◽  
Karst Groundwater ◽  
Industrial Enterprises ◽  
Increasing Trend ◽  
Spring Area

In this paper, on the basis of the research on karst groundwater chemistry characteristics of Lancun spring area, fuzzy comprehensive evaluation method is applied to evaluate the groundwater quality of Lancun spring area, and correlation analysis to predict the trend of groundwater quality. The results show that karst water of Lancun spring area is clean in general, which reached grade I. But in some area where industrial enterprises and towns residents are concentrated, items such as nitrate nitrogen content are relatively high. By 2025, the total hardness and Cl- content of karst water in the majority area of the basin change little, but in several area the total hardness and Cl- content show an increasing trend, but not excessive. Other regions show an increasing trend, but not exceeding standards of drinking water.

Application of Fuzzy Comprehensive Evaluation Method in Groundwater Quality Assessment in Handan City

2010 ◽  
Vol 113-116 ◽  
pp. 1275-1279
Author(s):  
Xue Jiang ◽  
Chang Lai Xiao ◽  
Xiu Juan Liang ◽  
Meng Yao Xu
Keyword(s):  
Groundwater Quality ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Ammonia Nitrogen ◽  
Total Hardness ◽  
Volatile Phenols ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Handan City

The fuzzy comprehensive evaluation method was applied to evaluation of groundwater quality .According to the measured data, the Brewery, Small North Castle and Weft Plant in the southeast of Handan were selected as the sampling points. Then with the actual situation, 13 kinds of evaluation factors including pH, total hardness, sulfate, chloride, volatile phenols, nitrate, nitrite, ammonia nitrogen, fluoride, cyanide, Hg, As, Cr (hexa-valend) were chosen to evaluate groundwater quality. From the aspects of weight and fuzzy matrix computing, the whole process of application of fuzzy comprehensive evaluation method was introduced into groundwater quality evaluation in this paper.

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.

Characteristics of Hydrogeochemistry and Groundwater Quality in a Riverbank Filtration Site, Northeastern China

2020 ◽  
Author(s):  
Yanguo Teng ◽  
Yuanzheng Zhai ◽  
Haiyang Chen ◽  
Ruihui Chen
Keyword(s):  
Spatial Distribution ◽  
Groundwater Quality ◽  
Land Surface ◽  
Evaluation Method ◽  
Major Ions ◽  
Comprehensive Evaluation ◽  
Shallow Groundwater ◽  
Distribution Patterns ◽  
Total Hardness ◽  
Spatial Distribution Patterns

<p>Studies on hydrogeochemical characteristics and an assessment of the groundwater quality for drinking purposes were conducted in and around the riverside source field of Wuchang, Northeast China. Twenty-seven and twenty-three shallow groundwater samples were collected for measuring on-site parameters and major components in the years 2000 and 2014, respectively. In 2014, the average concentrations of major ions of shallow groundwater were found to be in the following order: Ca<sup>2+</sup>> Na<sup>+</sup>> Mg<sup>2+</sup>> K<sup>+</sup> for cations and HCO<sub>3</sub><sup>-</sup>> SO<sub>4</sub><sup>2-</sup>> Cl<sup>-</sup>> NO<sub>3</sub><sup>-</sup> for anions. The spatial distribution patterns of K<sup>+</sup> and NO<sub>3</sub><sup>-</sup> had no obvious regularity, whereas Cl<sup>-</sup> and Na<sup>+ </sup>showed similar spatial distribution patterns. Ca-HCO<sub>3</sub> and mixed type water were the dominant hydrochemical types. The analysis of the SI values for minerals and the Gibbs plot illustrated that the concentrations of major components were mainly controlled by rock weathering, such as the dissolution of calcite, dolomite, halite, gypsum and aragonite, followed by ion exchange. Indicators, such as Total hardness (TH), Total Dissolved Solids (TDS), Cl<sup>-</sup>, SO<sub>4</sub><sup>2- </sup>and NO<sub>3</sub><sup>-</sup>, were selected to assess the groundwater quality using a comprehensive evaluation method of dividing the groundwater quality into five classes: excellent, good, fair, poor and very poor water. The results showed that 7.4% and 34.8% of the total groundwater sample in 2000 and 2014, respectively, were unsuitable for drinking use, indicating that the shallow groundwater quality has gradually worsened in the past few decades. The concentration of NO<sub>3</sub><sup>- </sup>was a major factor that influenced the observed groundwater quality changes.</p><p><strong>Acknowledgments </strong></p><p>This study was supported by the NSFC (No.41877355), Beijing Advanced Innovation Program for Land Surface Science, and the 111 Project of China (B18006).</p>

scholarly journals Groundwater quality evaluation model based on multi-scale fuzzy comprehensive evaluation and big data analysis method

2021 ◽  
Author(s):  
Hongxia Cheng ◽  
Zhang Minghui
Keyword(s):  
Big Data ◽  
Groundwater Quality ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Coarse Grained ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Multi Scale

Abstract The reasonable use of water resources has become an important issue for the sustainable development of humanity in the future. Many researches focus on groundwater quality inspection, but not groundwater quality assessment. This paper aims to study groundwater quality evaluation models based on multi-scale fuzzy comprehensive evaluation and big data analysis methods. We combines coarse-grained multi-scale fuzzy entropy and fuzzy comprehensive evaluation method to establish a groundwater quality evaluation model based on big data environment. The evaluation of groundwater samples from 327 test points in Huangpu District, Xuhui District, Hongkou District, and Putuo District of Shanghai was conducted. The results show that the overall condition of Shanghai groundwater is better, and more than 94% of samples qualified as drinking water sources. The method presented in this paper not only guarantees that the coarse-grained data on all scales are consistent with the length of the original data, but also avoids the phenomenon of data loss, which greatly improves the accuracy of subsequent algorithms. HIGHLIGHT This article first introduces the theory of the multi-scale fuzzy comprehensive evaluation method, then uses the scale analysis method to determine the weight and the fuzzy comprehensive evaluation method to calculate the current status of groundwater resources in Shanghai. Finally, it compares the conclusions obtained with the fuzzy comprehensive evaluation method and analyzes it. Similarities and differences in evaluation results and their causes. It can be seen from the comprehensive comparison that the evaluation using the multi-scale fuzzy comprehensive evaluation method can more intuitively compare the differences in water quality between different administrative regions.The evaluation system in this paper is more comprehensive, and its evaluation results are more comprehensive and reasonable than the fuzzy comprehensive evaluation method.

Fuzzy Comprehensive Evaluation on North-China Groundwater Quality

2012 ◽  
Vol 610-613 ◽  
pp. 2729-2733
Author(s):  
Yu Jiang He ◽  
Dong Wang ◽  
Gui L. Wang
Keyword(s):  
Groundwater Quality ◽  
North China Plain ◽  
North China ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Water Resources Planning ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method ◽  
Resources Planning

The representative pollution factors are selected to undergo the single-factor membership grade evaluation and weight normalization treatment, and then fuzzy comprehensive evaluation method is employed to analyze the groundwater quality in a particular region in North-China Plain. The weight of each factor is determined as per the measured density value, thus guaranteeing objective and accurate evaluation results, which provide scientific grounds for the water resources planning and treatment. Therefore, the fuzzy comprehensive evaluation method is a scientific means of efficiently and accurately evaluating the groundwater quality.

scholarly journals Assessing the Karst Groundwater Quality and Hydrogeochemical Characteristics of a Prominent Dolomite Aquifer in Guizhou, China

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2584
Author(s):  
Zhongmei Wang ◽  
Martin Torres ◽  
Prakash Paudel ◽  
Liangbo Hu ◽  
Genlan Yang ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Resources ◽  
Groundwater Quality ◽  
Fuzzy Comprehensive Evaluation ◽  
Guizhou Province ◽  
Total Hardness ◽  
Karst Groundwater ◽  
Water Safety ◽  
Large Reservoir ◽  
Drinking Water Safety

Karst groundwater is one of the primary water resources in most provinces of Southwestern China where karst topography is strongly featured. In Guizhou Province, a prominent geologic sedimentary formation is the dolomite stratum which exists as the restricted platform facies and potentially provides a large reservoir for drinking water. A proper understanding and evaluation of its hydrogeochemical characteristics and water quality is the key to ensuring the drinking water safety. In the present study, groundwater samples were collected from 25 locations of the dolomite aquifer across Guizhou to determine their major chemical compounds, including the cations (K+, Na+, Ca2+, Mg2+) and the anions (HCO3−, F−, Cl−, NO3−, SO42−), as well as the pH, total hardness, and total dissolved solids. HCO3− and Ca2+ were found to be the dominant anion and cation, respectively, which is characteristic of typical karst groundwater and supports the overall observation of a slightly weak acid to weak alkaline environment in the studied groundwater, as the pH measurements ranged from 6.80 to 8.37. Fuzzy comprehensive evaluation method is used to evaluate the groundwater quality based on typical drinking water safety standard. The results show that the groundwater in most of the studied aquifers is of reasonably good quality. However, in some aquifers, concentrations of NO3− and/or SO42− were found to be excessively high. Overall, the studied dolomite aquifer in its natural environment as investigated in the present study can be considered as a potential geological stratum for water resources exploitation in Guizhou.

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