scholarly journals Hydrochemical Characteristics and Water Quality Evaluation of Rivers in Different Regions of Cities: A Case Study of Suzhou City in Northern Anhui Province, China

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 950 ◽  
Author(s):  
Yaqi Jiang ◽  
Herong Gui ◽  
Hao Yu ◽  
Meichen Wang ◽  
Hongxia Fang ◽  
...  

To study the disparity of river hydrochemical characteristics and water quality in different regions of the city, this paper took the Tuo River in the center of Suzhou, Northern Anhui, China and the Bian River on the edge of the urban area as the research objects, used Piper trigram, Gibbs diagram, and hydrogen and oxygen isotope content characteristics to analyze the geochemical characteristics of surface water in the study area, and then the improved fuzzy comprehensive evaluation method was used to evaluate the water quality. The results showed that the hydrochemical types of the two rivers were SO4-Cl-Na type, and the contents of Na+, K+, SO42−, Cl−, Ca2+, total phosphorus (TP) in the Bian River at the edge of the city were much higher than those in the Tuo River at the center of the city (ANOVA, p < 0.001). Gibbs diagram showed that the ion composition of the two rivers was mainly affected by rock weathering. The results of correlation analysis and water quality evaluation showed that Bian River was greatly affected by agricultural non-point source pollution, and its water quality was poor, class IV and class V water account for 95%, while, for Tuo River, due to the strong artificial protection, class II and class III accounted for 40.74% and 59.26%, respectively, and the overall water quality was better than that of Bian River. The evaluation results of irrigation water quality showed that the samples from Tuo River were high in salt and low in alkali, which could be used for irrigation when the soil leaching conditions were good, while Bian River water samples were high in salt and medium in alkali, which was suitable for irrigation of plants with strong salt tolerance.

2013 ◽  
Vol 779-780 ◽  
pp. 1619-1622 ◽  
Author(s):  
Jun Pan ◽  
Bo Yao Li ◽  
Ming Cen Jiang

In order to improve the traditional fuzzy comprehensive evaluation model of main factors, the paper used the shortage of the outstanding balance average type instead of traditional fuzzy comprehensive evaluation method in the evaluation process and takes big or small algorithm, this method to avoid maximum membership principle may cause information loss, more objective quantitative determination of water quality class. This paper Liaozhong waterfront city underground water quality testing data as the basis, an improved fuzzy comprehensive evaluation method to evaluate, the result is due to the area of iron and manganese from groundwater seriously overweight cause groundwater quality grade V. Show that the method of water quality evaluation, the result more objective and accurate.


Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1019
Author(s):  
Guodong You ◽  
Bin Xu ◽  
Honglin Su ◽  
Shang Zhang ◽  
Jinming Pan ◽  
...  

The quality of aquaculture waters is directly related to water management and aquaculture efficiency, which puts forward higher requirements for water quality evaluation. Based on the consideration of the influence of temporal and spatial changes on the water quality, this paper proposed an improved fuzzy comprehensive evaluation method for aquaculture water quality evaluation. Specifically, constructing a new membership function in the first place, and then selecting dissolved oxygen, pH, temperature and ammonia nitrogen content as water quality indexes for aquaculture, after that, collecting 60 sets of water quality index for different seasons in the past three years, finally, evaluating the water quality of Yangjiabo Aquaculture Base. Meanwhile, comparing it with the evaluation results of the single factor evaluation method and the traditional fuzzy evaluation method. The results show that the water quality of the Yangjiabo Aquaculture Base is at the worst level in winter, and the water quality has improved significantly in spring, summer and autumn. Compared with the other two method, the improved method can comprehensively reflect the changes in water quality with time and space, which is more practical, and so it can be considered to provide a scientific basis for efficient aquaculture and water quality classification.


2011 ◽  
Vol 403-408 ◽  
pp. 1517-1520
Author(s):  
Shang Yang Yang ◽  
Long Yun Zhang ◽  
Yue Gao

With the building of the South-to-North Water Diversion Project, surface water resources in arid regions has been recharged effectively. Generally speaking, the surface water-supply resources in arid region include two parts, local water and secondary water, which makes its water quality evaluation has its own particularity and different from regular evaluation. So the surface water quality evaluation in arid region is unique.For it involves a wide range of complex factors in practice, the fuzzy set theory and fuzzy matter-element theory were applied to the study. The mathematical model was established based on the quantity demand of both local water and secondary water, and meanwhile taking the subjective and objective conditions into account carefully, so the weights of the two parts were obtained respectively. The results proved to be a good solution to solve the problem of water quality evaluation level in arid areas,and the research achievements also openup new ideas for comprehensive evaluation method of surface water quality in cities of arid region.


2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang

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.


2014 ◽  
Vol 507 ◽  
pp. 786-789
Author(s):  
Ruo Jun Wang ◽  
Yan Ying Xu

Vehicle air quality is attracted attention more and more with the increase of private vehicles popularization rate but the air quality evaluation is difficult to achieve standardization in the short term. The main pollutants affecting vehicle air quality were analyzed. Index factors were identified and the classification method of vehicle air quality evaluation were determined combining with China and international air quality standards. Fuzzy comprehensive evaluation method was established for vehicle air quality evaluation. According to the degree of different pollutants harm to human body, weight of each index factor was determined. The evaluation results would provide theoretical basis for the comparison of different vehicle air quality conditions and vehicle air pollution control.


2014 ◽  
Vol 587-589 ◽  
pp. 869-872
Author(s):  
Ying Dong ◽  
Jian Hua Zhou ◽  
Xi Jun Wu

Weihe is the largest river in Shaanxi province. The comprehensive evaluation of the monitoring datas in 2012 in Weihe Tongguan drawbridge section was presented in this paper by using the FCE method. The results showed that the water quality pollution levels in this section are Class V, I, IV and V respectively in the four quarters which are spring, summer, autumn and winter, the main pollutant is NH3-N. Compared with the traditional method of single factor assessment, this method can reflect the water quality more comprehensively and reasonably.


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