Groundwater is a vital resource for human consumption, particularly in rural areas with limited access to treated water. Assessing groundwater quality is crucial for economic development and human well-being. The conventional Water Quality Index models used for this purpose have limitations related to data volatility and judgment uncertainties. To overcome these limitations, our study introduces a novel approach that employs a Fuzzy Inference System to determine the Water Quality Index. The dataset used in our research includes multiple parameters such as pH, EC, TDS, Ca, Mg, Na, K, HCO3, Cl, SO4, TH, DWQI, and other physio-chemical and chemical parameters. Our approach utilizes linguistic variables, fuzzy rules, and the hyperbolic tangent set function to handle imprecise and uncertain water quality data. By employing Fuzzy C-Means clustering, we group similar water samples based on quality parameters and map membership values to linguistic terms representing water quality categories. Suitable defuzzification methods are then applied to convert fuzzy outputs into precise results. This proposed approach provides a comprehensive framework for accurate water quality assessment, enabling informed decision-making and more reliable and precise evaluations of groundwater quality for human consumption. Our approach enhances groundwater safety and supports the effective management of this vital natural resource.
{"title":"A Fuzzy Inference System for enhanced groundwater quality assessment and index determination","authors":"Isaac Sajan R., V. B. Christopher","doi":"10.2166/wqrj.2023.031","DOIUrl":"https://doi.org/10.2166/wqrj.2023.031","url":null,"abstract":"\u0000 \u0000 Groundwater is a vital resource for human consumption, particularly in rural areas with limited access to treated water. Assessing groundwater quality is crucial for economic development and human well-being. The conventional Water Quality Index models used for this purpose have limitations related to data volatility and judgment uncertainties. To overcome these limitations, our study introduces a novel approach that employs a Fuzzy Inference System to determine the Water Quality Index. The dataset used in our research includes multiple parameters such as pH, EC, TDS, Ca, Mg, Na, K, HCO3, Cl, SO4, TH, DWQI, and other physio-chemical and chemical parameters. Our approach utilizes linguistic variables, fuzzy rules, and the hyperbolic tangent set function to handle imprecise and uncertain water quality data. By employing Fuzzy C-Means clustering, we group similar water samples based on quality parameters and map membership values to linguistic terms representing water quality categories. Suitable defuzzification methods are then applied to convert fuzzy outputs into precise results. This proposed approach provides a comprehensive framework for accurate water quality assessment, enabling informed decision-making and more reliable and precise evaluations of groundwater quality for human consumption. Our approach enhances groundwater safety and supports the effective management of this vital natural resource.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46157198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Roukaya Al Haj Ishak Al Ali, L. Mondamert, Alexandre Crépin, Maha Al Badany, Joelle Jandry, J. Berjeaud, J. Labanowski
The decrease in low-water flows and the increase in water temperature and other parameters as observed in the rivers over the last 50 years suggest that a concentration of compounds and pollutants is taking place, in connection with climate change and/or anthropisation (without discerning their respective contributions). These effects occur in a context where the rivers are already impacted by the presence of many pollutant cocktails (pesticides, drugs, and others). The authors now show that these pollutant cocktails – at the environmental concentrations currently found – constitute a threat to human health through their possible effects on the virulence of pathogenic bacteria. While certain genes of Salmonella Typhimurium may not experience an increased risk, the exposure to more concentrated cocktails (at a five-fold concentration) could potentially amplify certain virulent factors such as the motility of Pseudomonas aeruginosa H103. The findings indicate that pollution mixtures have an effect on the virulence potential of certain waterborne pathogenic bacteria, even at concentrations currently observed in rivers.
{"title":"The risk of bacterial virulence in the face of concentrated river pollution","authors":"Roukaya Al Haj Ishak Al Ali, L. Mondamert, Alexandre Crépin, Maha Al Badany, Joelle Jandry, J. Berjeaud, J. Labanowski","doi":"10.2166/wqrj.2023.004","DOIUrl":"https://doi.org/10.2166/wqrj.2023.004","url":null,"abstract":"\u0000 The decrease in low-water flows and the increase in water temperature and other parameters as observed in the rivers over the last 50 years suggest that a concentration of compounds and pollutants is taking place, in connection with climate change and/or anthropisation (without discerning their respective contributions). These effects occur in a context where the rivers are already impacted by the presence of many pollutant cocktails (pesticides, drugs, and others). The authors now show that these pollutant cocktails – at the environmental concentrations currently found – constitute a threat to human health through their possible effects on the virulence of pathogenic bacteria. While certain genes of Salmonella Typhimurium may not experience an increased risk, the exposure to more concentrated cocktails (at a five-fold concentration) could potentially amplify certain virulent factors such as the motility of Pseudomonas aeruginosa H103. The findings indicate that pollution mixtures have an effect on the virulence potential of certain waterborne pathogenic bacteria, even at concentrations currently observed in rivers.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47524923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Perfluorinated compounds (PFCs) are significant pollutants known for their high toxicity and resistance to natural degradation, posing a severe threat to both the global environment and human health. In this study, a polyamide (PA) membrane with an intermediate layer structure of MXene-TiO2 (referred to as MXT-NFM) was utilized for the removal of PFCs. Experimental results confirm that MXT-NFM exhibited remarkable capacity in intercepting PFCs, accompanied by the high water flux. To gain insights into the mechanisms governing membrane fouling induced by PFCs, inorganic ions, and organics, a series of fouling tests were conducted using MXT-NFM under diverse conditions. Additionally, the XDLVO theory was employed to provide a theoretical perspective on the interactions occurring during the fouling process. The findings suggest that the MXene-TiO2 intermediate layer contributed to the exceptional hydrophilicity and rough surface properties, enabling multiple functionalities. These include alleviating membrane pore plugging, improving the physical configuration of the PA layer, and effectively mitigating fouling phenomena in coexisting systems during practical applications. Moreover, the particle size of pollutant colloids and the acid–base interaction were identified as decisive factors influencing the development of membrane fouling.
{"title":"Efficient removal of perfluorinated compounds with the polyamide nanofiltration membrane and membrane fouling resistance analysis","authors":"Yuyang Wu","doi":"10.2166/wqrj.2023.011","DOIUrl":"https://doi.org/10.2166/wqrj.2023.011","url":null,"abstract":"\u0000 \u0000 Perfluorinated compounds (PFCs) are significant pollutants known for their high toxicity and resistance to natural degradation, posing a severe threat to both the global environment and human health. In this study, a polyamide (PA) membrane with an intermediate layer structure of MXene-TiO2 (referred to as MXT-NFM) was utilized for the removal of PFCs. Experimental results confirm that MXT-NFM exhibited remarkable capacity in intercepting PFCs, accompanied by the high water flux. To gain insights into the mechanisms governing membrane fouling induced by PFCs, inorganic ions, and organics, a series of fouling tests were conducted using MXT-NFM under diverse conditions. Additionally, the XDLVO theory was employed to provide a theoretical perspective on the interactions occurring during the fouling process. The findings suggest that the MXene-TiO2 intermediate layer contributed to the exceptional hydrophilicity and rough surface properties, enabling multiple functionalities. These include alleviating membrane pore plugging, improving the physical configuration of the PA layer, and effectively mitigating fouling phenomena in coexisting systems during practical applications. Moreover, the particle size of pollutant colloids and the acid–base interaction were identified as decisive factors influencing the development of membrane fouling.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42627440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Norma Gil-Rodas, Meyer Guevara-Mora, Gabriel Rivas, Gabriela Dávila, Doris García, Alejandra Contreras-Perdomo, Pride Alvizures, Mónica Martínez, G. Calvo-Brenes
Water is vital for humans, plants, and animals; unfortunately, some anthropogenic activities adversely alter water quality (WQ). Many indicators can be used for WQ assessment; fortunately, extensive data can be simplified by using WQ indices (WQIs). The main difference among WQIs lies in the way of assessing pollution and the number and types of WQ indicators used; therefore, the selection of a reliable WQI should be the first step. This research aimed to compare several types of indices and evaluate their effectiveness. Eighteen sampling sites were monitored, and the selected indices showed different results. Biological indexes exhibited a significant statistical correlation and yet different quality results. In addition, biological WQIs showed different outcomes from the physicochemical index. The high concentrations of phosphates, fecal coliforms, and biological oxygen demand, found in most rivers, were responsible for adversely influencing the quality results of the physicochemical index; however, their high concentrations found in some sampling sites had no adverse effect on the macroinvertebrate's existence; therefore, biological WQ assessment showed better quality results than the physicochemical index. The Rapid Bioassessment Protocol index, based on visual habitat observations, proved to be an easy way to classify WQ and an adequate replacement for biological indices.
{"title":"A comparative study of several types of indices for river quality assessment","authors":"Norma Gil-Rodas, Meyer Guevara-Mora, Gabriel Rivas, Gabriela Dávila, Doris García, Alejandra Contreras-Perdomo, Pride Alvizures, Mónica Martínez, G. Calvo-Brenes","doi":"10.2166/wqrj.2023.029","DOIUrl":"https://doi.org/10.2166/wqrj.2023.029","url":null,"abstract":"\u0000 \u0000 Water is vital for humans, plants, and animals; unfortunately, some anthropogenic activities adversely alter water quality (WQ). Many indicators can be used for WQ assessment; fortunately, extensive data can be simplified by using WQ indices (WQIs). The main difference among WQIs lies in the way of assessing pollution and the number and types of WQ indicators used; therefore, the selection of a reliable WQI should be the first step. This research aimed to compare several types of indices and evaluate their effectiveness. Eighteen sampling sites were monitored, and the selected indices showed different results. Biological indexes exhibited a significant statistical correlation and yet different quality results. In addition, biological WQIs showed different outcomes from the physicochemical index. The high concentrations of phosphates, fecal coliforms, and biological oxygen demand, found in most rivers, were responsible for adversely influencing the quality results of the physicochemical index; however, their high concentrations found in some sampling sites had no adverse effect on the macroinvertebrate's existence; therefore, biological WQ assessment showed better quality results than the physicochemical index. The Rapid Bioassessment Protocol index, based on visual habitat observations, proved to be an easy way to classify WQ and an adequate replacement for biological indices.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43029355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Pronk, Astrid Fischer, A.E.T. van den Berg, Roberta C. H. M. Hofman
A main focus of water managers with regard to micropollutants is the protection of aquatic ecology. However, micropollutants also have the potential to affect the production of clean drinking water. In this paper, we propose to consider the removal effort when assessing micropollutants with an ‘Effort Index’ (EI). Assessments using the EI show which micropollutants need more extensive monitoring or abatement because of their difficulty to be removed using low-effort water purification treatment techniques. For water containing mixtures of micropollutants, the averaged EI values can indicate overall water quality. Data on the removal by different purification treatment techniques are not necessarily available for all micropollutants. Therefore, a set of data-driven indicative removal rules is derived to quantify the relation between micropollutant properties and different drinking water treatment techniques. The indicative removal rules provide a rough indication of removability. As an illustration, the water quality of the river Rhine is evaluated between 2000 and 2018. The EI value shows that the Rhine contains increasingly more difficult-to-remove micropollutants. In total, 18 of those are labeled as particularly difficult-to-remove chemicals. These micropollutants are suggested as candidates for abatement to lower the required effort in drinking water production.
{"title":"Prioritization of micropollutants based on removal effort in drinking water purification treatment","authors":"T. Pronk, Astrid Fischer, A.E.T. van den Berg, Roberta C. H. M. Hofman","doi":"10.2166/wqrj.2023.032","DOIUrl":"https://doi.org/10.2166/wqrj.2023.032","url":null,"abstract":"\u0000 \u0000 A main focus of water managers with regard to micropollutants is the protection of aquatic ecology. However, micropollutants also have the potential to affect the production of clean drinking water. In this paper, we propose to consider the removal effort when assessing micropollutants with an ‘Effort Index’ (EI). Assessments using the EI show which micropollutants need more extensive monitoring or abatement because of their difficulty to be removed using low-effort water purification treatment techniques. For water containing mixtures of micropollutants, the averaged EI values can indicate overall water quality. Data on the removal by different purification treatment techniques are not necessarily available for all micropollutants. Therefore, a set of data-driven indicative removal rules is derived to quantify the relation between micropollutant properties and different drinking water treatment techniques. The indicative removal rules provide a rough indication of removability. As an illustration, the water quality of the river Rhine is evaluated between 2000 and 2018. The EI value shows that the Rhine contains increasingly more difficult-to-remove micropollutants. In total, 18 of those are labeled as particularly difficult-to-remove chemicals. These micropollutants are suggested as candidates for abatement to lower the required effort in drinking water production.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44150665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is generally accepted that some trace organic contaminants (TrOCs) pass through the wastewater treatment process without being properly treated and find their way into waterbodies. These molecules can also be concentrated within the biosolids (BS) through adsorption. The presence of TrOCs in BS, which are then commonly used as soil amendments in agriculture, may affect plant growth and viability. The potential risks posed by TrOCs are being usually ignored because they are present in low concentrations and mostly have relatively short half-lives. However, the continuous addition of these substances in water sources and on farmlands makes them pseudo-persistent. To reduce the concentrations of selected TrOCs from these BS, Pseudomonas yamanorum LBUM636 (PY) was tested with and without a commercial bacterial blend of Bacillus spp. (BC). About 60% removal of atrazine was achieved using PY-amended BS. Bioslurries inoculated with PY had relatively high laccase activity at about 2,200 U/L. Laccase activity was seven times higher in samples where BC was also present, which suggests a synergistic effect between BC and PY. Concentrations of phenazine-1-carboxylic acid, an antibiotic with a biopesticide effect, were also relatively important in PY-inoculated bioslurries.
{"title":"Potential of Pseudomonas yamanorum for the valorization of municipal biosolids","authors":"Jordan Lussier, L. Lonappan, H. Cabana","doi":"10.2166/wqrj.2023.003","DOIUrl":"https://doi.org/10.2166/wqrj.2023.003","url":null,"abstract":"\u0000 It is generally accepted that some trace organic contaminants (TrOCs) pass through the wastewater treatment process without being properly treated and find their way into waterbodies. These molecules can also be concentrated within the biosolids (BS) through adsorption. The presence of TrOCs in BS, which are then commonly used as soil amendments in agriculture, may affect plant growth and viability. The potential risks posed by TrOCs are being usually ignored because they are present in low concentrations and mostly have relatively short half-lives. However, the continuous addition of these substances in water sources and on farmlands makes them pseudo-persistent. To reduce the concentrations of selected TrOCs from these BS, Pseudomonas yamanorum LBUM636 (PY) was tested with and without a commercial bacterial blend of Bacillus spp. (BC). About 60% removal of atrazine was achieved using PY-amended BS. Bioslurries inoculated with PY had relatively high laccase activity at about 2,200 U/L. Laccase activity was seven times higher in samples where BC was also present, which suggests a synergistic effect between BC and PY. Concentrations of phenazine-1-carboxylic acid, an antibiotic with a biopesticide effect, were also relatively important in PY-inoculated bioslurries.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49061984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The tannery industry plays a significant role in the economy but poses a severe environmental threat due to its high water and chemical usage, leading to wastewater generation with a high concentration of pollutants. This wastewater contains a range of contaminants created throughout the leather manufacturing process, making effluent disposal a significant challenge for the industry. The tanning process also contributes significantly to the pH, biological oxygen demand (BOD), total suspended solids (TSS), chemical oxygen demand (COD), total dissolved solids (TDS), and concentrations of T Cr, Cr(III), Cr(VI), Cl−, sulfate, sulfide, and inorganic constituents in the wastewater. This review paper provides a concise overview of the origins and characteristics of post-tanning effluent, different treatment techniques, and applications of treated wastewater. Comparing the prominent tannery effluent technologies, adsorption and advanced oxidation processes (AOPs) effectively improved wastewater biodegradability before biological treatment. AOPs, enzymatic, adsorption, and coagulation treatment effectively upgraded the effluent to desired levels for disposal. Additionally, membrane separation processes have shown high pertinency in cases where the treated effluent is intended for reuse, whereas hybrid technologies can be the answer for better and cost-effective results.
{"title":"Tannery effluent treatment and its environmental impact: a review of current practices and emerging technologies","authors":"A. Bhardwaj, Sanjeev Kumar, Davinder Singh","doi":"10.2166/wqrj.2023.002","DOIUrl":"https://doi.org/10.2166/wqrj.2023.002","url":null,"abstract":"\u0000 \u0000 The tannery industry plays a significant role in the economy but poses a severe environmental threat due to its high water and chemical usage, leading to wastewater generation with a high concentration of pollutants. This wastewater contains a range of contaminants created throughout the leather manufacturing process, making effluent disposal a significant challenge for the industry. The tanning process also contributes significantly to the pH, biological oxygen demand (BOD), total suspended solids (TSS), chemical oxygen demand (COD), total dissolved solids (TDS), and concentrations of T Cr, Cr(III), Cr(VI), Cl−, sulfate, sulfide, and inorganic constituents in the wastewater. This review paper provides a concise overview of the origins and characteristics of post-tanning effluent, different treatment techniques, and applications of treated wastewater. Comparing the prominent tannery effluent technologies, adsorption and advanced oxidation processes (AOPs) effectively improved wastewater biodegradability before biological treatment. AOPs, enzymatic, adsorption, and coagulation treatment effectively upgraded the effluent to desired levels for disposal. Additionally, membrane separation processes have shown high pertinency in cases where the treated effluent is intended for reuse, whereas hybrid technologies can be the answer for better and cost-effective results.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43518795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Hassen, A. Ben Rejab, B. Hassen, N. Jdidi, A. Hassen
The study aimed to eliminate the nitrogen and its main residual forms from municipal wastewater by using a biofilter system adapted for a small community. The biological nitrification/denitrification system used involved two successive PVC columns; a first gravel column (C1) loaded with primary wastewater followed by a second sandy column (C2). A complex biofilm development on the gravel and sand materials has been confirmed by scanning electron microscope. The efficiency of chemical oxygen demand (COD), BOD5, TSS, and NH4+-N removal from primary wastewater reached 75.3, 88.4, 83.5, and 88.1%, respectively, at the exit of the sandy column (C2). Inoculation with activated sludge as an external carbon source allowed an improvement in the nitrate removal, from 80 to 28 mg/l N-NO3. However, sludge inoculation showed non-significant fecal coliforms and Streptococcus contamination, and the biofilter appeared as effective for total nitrogen removal and a bacterial abatement of over 3.2 U-log10. The average bacterial removal seemed directly related to the applied load of about 50 cm/day and a tertiary disinfection treatment, such as UV-C254 irradiation, is needed as a preventive step to ensure the removal of pathogens.
{"title":"Investigation of a basic nitrification–denitrification biofiltration system for primary wastewater treatment","authors":"W. Hassen, A. Ben Rejab, B. Hassen, N. Jdidi, A. Hassen","doi":"10.2166/wqrj.2023.103","DOIUrl":"https://doi.org/10.2166/wqrj.2023.103","url":null,"abstract":"\u0000 \u0000 The study aimed to eliminate the nitrogen and its main residual forms from municipal wastewater by using a biofilter system adapted for a small community. The biological nitrification/denitrification system used involved two successive PVC columns; a first gravel column (C1) loaded with primary wastewater followed by a second sandy column (C2). A complex biofilm development on the gravel and sand materials has been confirmed by scanning electron microscope. The efficiency of chemical oxygen demand (COD), BOD5, TSS, and NH4+-N removal from primary wastewater reached 75.3, 88.4, 83.5, and 88.1%, respectively, at the exit of the sandy column (C2). Inoculation with activated sludge as an external carbon source allowed an improvement in the nitrate removal, from 80 to 28 mg/l N-NO3. However, sludge inoculation showed non-significant fecal coliforms and Streptococcus contamination, and the biofilter appeared as effective for total nitrogen removal and a bacterial abatement of over 3.2 U-log10. The average bacterial removal seemed directly related to the applied load of about 50 cm/day and a tertiary disinfection treatment, such as UV-C254 irradiation, is needed as a preventive step to ensure the removal of pathogens.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45991580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Five-day biochemical oxygen demand (BOD5) is a vital wastewater contamination strength indicator. The process of measuring BOD5 is to measure the mass of molecular oxygen consumed in 1 L of water at 20 °C over 5-day incubation period. It is a time-consuming process and often too late for water management agencies to make a timely reaction if the result of measurement shows a water body is seriously polluted. Biosensors can simplify the process of BOD5 measurement; however, the measurement results often deviate significantly from the measured BOD5 values. The main aim of this research is to identify a machine learning model, which could predict BOD5 value from historical data and make it easier to detect water pollution in advance and timely adopt treatment measures. Three machine learning techniques, linear regression, support vector regression (SVR) and multi-layer perceptron (MLP) and two optimization processes have been studied in this research. Four main steps, preprocessing (one-time only), model training, model evaluation (testing) and analysis have been implemented in the experiments. With three feature selection strategies, the results of the experiment showed that SVR with genetic algorithm (GA) optimizer achieved the best performance with R2 of 0.694 and the lowest MAE of 0.109.
{"title":"Prediction of biochemical oxygen demand with genetic algorithm-based support vector regression","authors":"Y. Liu, Zhiyuan Chen","doi":"10.2166/wqrj.2023.015","DOIUrl":"https://doi.org/10.2166/wqrj.2023.015","url":null,"abstract":"\u0000 Five-day biochemical oxygen demand (BOD5) is a vital wastewater contamination strength indicator. The process of measuring BOD5 is to measure the mass of molecular oxygen consumed in 1 L of water at 20 °C over 5-day incubation period. It is a time-consuming process and often too late for water management agencies to make a timely reaction if the result of measurement shows a water body is seriously polluted. Biosensors can simplify the process of BOD5 measurement; however, the measurement results often deviate significantly from the measured BOD5 values. The main aim of this research is to identify a machine learning model, which could predict BOD5 value from historical data and make it easier to detect water pollution in advance and timely adopt treatment measures. Three machine learning techniques, linear regression, support vector regression (SVR) and multi-layer perceptron (MLP) and two optimization processes have been studied in this research. Four main steps, preprocessing (one-time only), model training, model evaluation (testing) and analysis have been implemented in the experiments. With three feature selection strategies, the results of the experiment showed that SVR with genetic algorithm (GA) optimizer achieved the best performance with R2 of 0.694 and the lowest MAE of 0.109.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43726316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Soyer, Halûk Bayram, Nalan Canıgeniş, Onur Eren
We consider the problem of determining water withdrawal depth in water supply reservoirs with multilevel intakes in an effective and systematic manner. In the traditional way, operators decide which intake port to use based on their own experience and water samples taken from various depths. Our goal is to provide assistance to operators in the decision-making process and establish a systematic approach for determining the appropriate water withdrawal level in a stratified reservoir. To achieve this, we propose an algorithmic approach as a decision support system for estimating the water withdrawal level. We validate our approach using long-term data collected from a water supply reservoir and compare the results with those of the operator's decisions. The results reveal that when the depth tolerance is set to 10 m, the approach and operator's decisions match at an 80% rate. However, when the depth tolerance is increased to 15 m, the matching percentage improves to over 90%.
{"title":"Decision support system for selective withdrawal in water supply reservoirs: an approach based on thermal stratification","authors":"E. Soyer, Halûk Bayram, Nalan Canıgeniş, Onur Eren","doi":"10.2166/wqrj.2023.030","DOIUrl":"https://doi.org/10.2166/wqrj.2023.030","url":null,"abstract":"\u0000 We consider the problem of determining water withdrawal depth in water supply reservoirs with multilevel intakes in an effective and systematic manner. In the traditional way, operators decide which intake port to use based on their own experience and water samples taken from various depths. Our goal is to provide assistance to operators in the decision-making process and establish a systematic approach for determining the appropriate water withdrawal level in a stratified reservoir. To achieve this, we propose an algorithmic approach as a decision support system for estimating the water withdrawal level. We validate our approach using long-term data collected from a water supply reservoir and compare the results with those of the operator's decisions. The results reveal that when the depth tolerance is set to 10 m, the approach and operator's decisions match at an 80% rate. However, when the depth tolerance is increased to 15 m, the matching percentage improves to over 90%.","PeriodicalId":23720,"journal":{"name":"Water Quality Research Journal","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47141318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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