Integration Multi-Model to Evaluate the Impact of Surface Water Quality on City Sustainability: A Case from Maanshan City in China

Chen, Zhanbo; Hui, Zhang; Liao, Mingxia

doi:10.3390/pr7010025

Cited by 13 publications

(7 citation statements)

References 52 publications

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“…Water treatment is essential in ensuring access to a clean water supply [65][66][67][68][69][70][71][72]. The present study evaluated the applicability of the EC method in the removal of salts (TDS, CL, Br and SO 4 2− ) from aqueous environments using aluminum electrodes.…”

Section: Discussionmentioning

confidence: 99%

Treatment of Saline Water Using Electrocoagulation with Combined Electrical Connection of Electrodes

et al. 2019

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Saline water treatment has become increasingly important for drinking water supplies. The aim of this study was to evaluate the ability of the electrocoagulation (EC) process with combined aluminum electrodes in removing various types of salt from water samples collected at Sawa Lake, Al-Muthanna, Iraq. The targeted types of salt include total dissolved solids (TDS), chloride salt (Cl−), bromine (Br−), and sulphate (SO42−). A bench scale consisting of combined EC configurations with static electrodes was employed under combined electrical connections. The effect of the six variables factors, such as applied current density (I), reaction time (RT), pH, temperature (T), stirring speed (Mrpm) and inter electrode distance (IED) were observed to achieve a higher removal of TDS, Cl−, Br− and SO42−. Initial results showed the following optimum operating conditions: I = 2 mA/cm2, RT = 80 min, pH = 8, T = 25 °C, IED = 1 cm and Mrpm = 500. The maximum removal efficiency of TDS, Cl−, Br− and SO42− were 91%, 93%, 92% and 90%, respectively. It can be concluded that the EC method applied in the present study was effective to removing salts from lake water.

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Section: Discussionmentioning

confidence: 99%

Treatment of Saline Water Using Electrocoagulation with Combined Electrical Connection of Electrodes

et al. 2019

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“…In order to address the aforementioned concerns, the difference ratio is used to select the most suitable evaluation method among the Gini, TS fuzzy neural network, TOPSIS, fuzzy Borda, and PCA methods, as shown in Figure 1. Figure 1 indicates that the framework consists of other key phases, including indicator preprocessing, evaluation model training, and simulation and verification of the results [35]. e main contribution of this work is the selection of the most suitable result from multiple model evaluations based on the difference ratio.…”

Section: Methodsmentioning

confidence: 99%

“…e network parameters are constantly modified until the value of the total error function is minimized [35].…”

Section: Evaluation Based On a Ts Fuzzy Neural Networkmentioning

confidence: 99%

Evaluating Sustainable Liveable City via Multi-MCDM and Hopfield Neural Network

Chen

2020

Mathematical Problems in Engineering

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Research on liveable cities has received increased attention in recent years because of the complexity and diversity of liveability standards. Evaluating the liveable environment is a multiple criteria decision-making (MCDM) problem, and the results can be used to control environmental pollution and protect human health. However, different evaluation methods can lead to different results; hence, determining how to effectively to obtain the consistent results is a main consideration of this study. The objective of this work is to design an optimal method based on the difference ratio concept. A hopfield neural network is selected to validate the experimental results. Referring to the liveable city rankings established by the Economist Intelligence Unit, thirteen large cities in China are used to illustrate the application of the model, evaluate the liveable urban environment, and demonstrate the effectiveness and feasibility of the proposed model. The results show that Hangzhou is the most liveable city and Beijing has the worst liveable urban environment. Therefore, a common policy should be strengthening environmental governance, with a special focus on the development of low-carbon cities, for which both the local and global environmental impacts could be mitigated.

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“…Therefore, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is at present one of the most approved MCDM methods and also used in various application areas such as manufacturing, industries as well as government sectors [16].…”

Section: Proposed Workmentioning

confidence: 99%

Assessment of Water Quality using Fuzzy-AHP and TOPSIS

Sonavane¹,

Narkhede²,

Pawar³

et al. 2021

ITM Web Conf.

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The quality of water available to people has deteriorated because of the vast increase in global industries. The overall quality of water has reduced due to the high use of fertilizers in farms and chemicals in sectors such as mining and construction. The quality of water has a direct impact on the health of humans and hence it is necessary to evaluate the quality of drinking water. The quality of water is dependent on various substances like pH, ammonia, iron, arsenic etc. present in water. If these parameters are available in an appropriate amount in water then only the water is considered as of good quality. The problem of assessing water quality is usually considered as multi-criteria decision problem. In this paper an approach to evaluate quality of water using Fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. The parameters which are considered for evaluation include Arsenic, Ammonia , Iron , Nitrate , Dissolved Oxygen and Ph. The relative importance of these parameters is utilized while applying the Fuzzy-AHP process and weights for each parameter are computed. The various datasets containing values for considered parameters are collected and the weights are used to assign quality levels to these water samples. The paper also gives the performance analysis of the proposed method in terms of accuracy. The accuracy is measured in terms of how many water samples are assigned correct quality level and the results show that the proposed method has better accuracy as compared to traditional AHP and Fuzzy-AHP method.

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Integration Multi-Model to Evaluate the Impact of Surface Water Quality on City Sustainability: A Case from Maanshan City in China

Cited by 13 publications

References 52 publications

Treatment of Saline Water Using Electrocoagulation with Combined Electrical Connection of Electrodes

Treatment of Saline Water Using Electrocoagulation with Combined Electrical Connection of Electrodes

Evaluating Sustainable Liveable City via Multi-MCDM and Hopfield Neural Network

Assessment of Water Quality using Fuzzy-AHP and TOPSIS

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