Abstract
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 combine 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.
Highlights
Results from the 2018 World Health Organization and UNICEF Global Water Supply and Sanitation Evaluation show that the population of 43% in rural Africa, 56% in Latin America, and 67% in Asia do not have access to good quality drinking water (Wu & Sun )
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
Minghui | Groundwater quality evaluation model based on multi-scale fuzzy method comprehensive evaluation results showed that the total proportion of groundwater quality category of Grade IV and V water is 19.8%, and the multi-scale comprehensive fuzzy assessment method in this paper shows that the total proportion of groundwater quality category of Grade IV and V water in the study area is 6.9%
Summary
Results from the 2018 World Health Organization and UNICEF Global Water Supply and Sanitation Evaluation show that the population of 43% in rural Africa, 56% in Latin America, and 67% in Asia do not have access to good quality drinking water (Wu & Sun ). The main source of water in many places in rural areas is shallow groundwater. Shallow holes and mechanical or artificially excavated wells are mainly used to provide drinking water (Abbasnia et al ). Due to the continuous detection of toxic organic chemicals and high concentrations of pathogenic microorganisms from these drinking waters, the safety of water supply in these areas has attracted global attention. Recent studies by the World Health Organization have confirmed that arsenic (>0.01 mg/L) and fluoride (>1.5 mg/L) are higher in shallow groundwater in Argentina, Bangladesh, Cambodia, China, Mongolia, and Tanzania. Coupled with nitrate pollution from human activities and agricultural production, attention to groundwater in developing countries has been strengthened (Gautam et al )
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
