Assessment of Water Physicochemical Parameters in the Strîmtori‐Firiza Reservoir in Northwest Romania

Dippong, Thomas; Mihali, Cristina; Năsui, Daniel; Berinde, Zoiţa; Butean, Claudia

doi:10.2175/106143017x15054988926578

Cited by 45 publications

(8 citation statements)

References 24 publications

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“…Although various other feasible and important water quality parameters are there that should be evaluated such as dissolved oxygen (DO), pH and biochemical oxygen demand (BOD), although these parameters are fundamentally affected by EC and TDS [9,10]. Recently, in context related scientific community, the use of mathematical model [11] and data-driven models, such as ANFIS, ANNs and MLR, have become practical alternatives in most studies. In most of the water related studies, artificial intelligence (AI) has been used and found out useful in water modeling and management [10,12].…”

Section: Introductionmentioning

confidence: 99%

Performance assessment of data driven water models using water quality parameters of Wangchu river, Bhutan

et al. 2022

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Multifarious anthropogenic activities triggered by rapid urbanization has led to contamination of water sources at unprecedented rate, with less surveillance, investigation and mitigation. The use of artificial intelligence (AI) in tracking and predicting water quality parameters has surpassed the use of other conventional methods. This study presents the assessment of three main models: adaptive neuro fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) on water quality parameters of Wangchu river located at capital city of Bhutan. The performance and predictive ability of these models are compared and the optimal model for predicting the parameters are recommended based on the coefficient correlation (CC), root mean square error (RMSE) and Nash–Sutcliffe efficiency (NSE) evaluation criteria. Overall NSE and RMSE, the ANN model predicted parameters with maximum efficiency of 97.3 percent and minimum error of 8.57. The efficiency of MLR and ANFIS model are 95.9 percent and 94.1 percent respectively. The overall error generated by MLR and ANFIS are 10.64 and 12.693 respectively. From the analysis made, the ANN is recommended as the most suitable model in predicting the water quality parameters of Wangchu river. From the six-training function of ANN, trainBR (Bayesian Regularization) achieved the CC of 99.8%, NSE of 99.3% and RMSE of 9.822 for next year data prediction. For next location prediction, trainBR achieved CC of 99.2%, NSE of 98.4% and RMSE of 6.485, which is the higher correlation and maximum efficiency with less error compared to rest of the training functions. The study represents first attempt in assessing water quality using AI technology in Bhutan and the results showed a positive conclusion that the traditional means of experiments to check the quality of river water can be substituted with this reliable and realistic data driven water models. Article highlights Total dissolved solids (TDS), electrical conductivity (EC), potential of hydrogen (pH) and dissolved oxygen (DO) are selected as main water quality parameters as data for modeling. Artificial neural network model gives highest efficiency and accuracy compared to MLR and ANFIS model. Use of artificial intelligence shows better performance to provide water quality and future predictions over conventional methods leading to conservation of water resources and sustainability.

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Section: Introductionmentioning

confidence: 99%

Performance assessment of data driven water models using water quality parameters of Wangchu river, Bhutan

et al. 2022

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“…Water sources can be contaminated by substances and ions such as nitrate, lead, arsenic, and copper [ 7 , 8 ] and may cause many health problems related to heavy metal consumption and poisoning. Water reservoirs and treatments plants that do not consider water contamination by motor vehicles, as well as locations that struggle to provide the necessary components required for water treatment will be more prone to indirect contamination [ 9 – 11 ]. Many plants are effective in ensuring the quality and reduction of these contaminants, but often leave out the secondary considerations, The United States Environmental Protection Agency(US EPA)’s secondary regulations recommend that TDS should be below 500 mg/L [ 2 ], which is also supported by the World Health Organization(WHO) recommendation of below 600 mg/L and an absolute maximum of less than 1,000 mg/L [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Research on drinking water purification technologies for household use by reducing total dissolved solids (TDS)

Wang

2021

PLoS ONE

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This study, based in San Bernardino County, Southern California, collected and examined tap water samples within the area to explore the feasibility of adopting non-industrial equipment and methods to reduce water hardness and total dissolved solids(TDS). We investigated how water quality could be improved by utilizing water boiling, activated carbon and sodium bicarbonate additives, as well as electrolysis methods. The results show that heating is effective at lower temperatures rather than long boils, as none of the boiling tests were lower than the original value. Activated carbon is unable to lower TDS, because it is unable to bind to any impurities present in the water. This resulted in an overall TDS increase of 3.5%. However, adding small amounts of sodium bicarbonate(NaHCO3) will further eliminate water hardness by reacting with magnesium ions and improve taste, while increasing the pH. When added to room temperature tap water, there is a continuous increase in TDS of 24.8% at the 30 mg/L mark. The new findings presented in this study showed that electrolysis was the most successful method in eliminating TDS, showing an inverse proportion where an increasing electrical current and duration of electrical lowers more amounts of solids. This method created a maximum decrease in TDS by a maximum of 22.7%, with 3 tests resulting in 15.3–16.6% decreases. Furthermore, when water is heated to a temperature around 50°C (122°F), a decrease in TDS of around 16% was also shown. The reduction of these solids will help lower water hardness and improve the taste of tap water. These results will help direct residents to drink more tap water rather than bottled water with similar taste and health benefits for a cheaper price as well as a reduction on plastic usage.

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“…Disinfection is a very important process in wastewater treatment to minimize the release of pathogens into the receiving water bodies, which can endanger the public health and ecosystems (Dippong et al 2017;Otter et al 2020;Roș ca et al 2020). Chlorine is the most popular chemical disinfectant applied worldly in the wastewater treatment, because of its efficiency, easy application, long-lasting effect, and low-cost (El-Rehaili 1995;Quartaroli et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Implications of COD analysis use in the peracetic acid-based wastewater treatment

Leite

Tango

Filho

et al. 2021

Water Science and Technology

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Peracetic acid (PAA) stands out as a safe and environmental-friendly oxidant and disinfectant which has been effectively used in wastewater treatment. Chemical oxygen demand (COD) is a very popular analysis in wastewater treatment, however the interference of residual PAA on the COD measurement is still unknown. In this context, this study investigated the implications of applying the COD analysis in PAA-based treatment. Each 1 mg·L−1 of PAA increased the COD concentration around 13.5 mg O2·L−1. Residual PAA and hydrogen peroxide (H2O2) were efficiently neutralized by sodium metabisulfite (SMBS) at the optimal SMBS/PAA ratio of 10.2:1 in a wide pH range (5 to 9). The effect of PAA addition in the COD concentration was evaluated in different water matrices (potassium hydrogen phthalate and wastewater solutions). The COD results with the SMBS addition at optimal SMBS/PAA ratio were lower than the ones without it. It may happen due to the neutralization of residual H2O2/PAA and the complexity of the water matrices which can interfere in the COD results. This study discussed the impact of the residual H2O2/PAA neutralization before the COD analysis and this investigation can be used as a practical guideline for the correct COD measurement in PAA-based treatment.

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Assessment of Water Physicochemical Parameters in the Strîmtori‐Firiza Reservoir in Northwest Romania

Cited by 45 publications

References 24 publications

Performance assessment of data driven water models using water quality parameters of Wangchu river, Bhutan

Performance assessment of data driven water models using water quality parameters of Wangchu river, Bhutan

Research on drinking water purification technologies for household use by reducing total dissolved solids (TDS)

Implications of COD analysis use in the peracetic acid-based wastewater treatment

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