Within developing countries, a multitude of problems that affect the water supply process can result in the contamination of water taps. While machine learning applications have become popular for attaining efficient water quality predictions, acquiring the necessary data for modelling for developing countries is challenging. This study constructs water quality prediction models by machine learning with a pseudo‐pipeline network to complement the missing data of the water supply process. Using both water source and water tap quality information measured by the Government of Nepal, we apply the three machine learning models: support vector machine (SVM), random forest (RF) and LightGBM. Furthermore, we also apply a traditional statistical method—logistic regression (LR)—to the prediction of the Escherichia coli (E. coli) contamination in water taps. With some input variables (such as the length from the nearest sources) obtained from the pseudo‐pipeline network, the results show that SVM has stable and high accuracy for both the 26 cities (70%) and for the 25 cities except for Kathmandu (79%). LR performed a significantly lower accuracy for all cities (61%) than for 25 cities (79%). Additionally, we show that our method can be applied to other regions where a water quality survey has not yet been conducted.
{"title":"Predicting the presence of E. coli in tap water using machine learning in Nepal","authors":"So Kuroki, Ryuji Ogata, M. Sakamoto","doi":"10.1111/wej.12844","DOIUrl":"https://doi.org/10.1111/wej.12844","url":null,"abstract":"Within developing countries, a multitude of problems that affect the water supply process can result in the contamination of water taps. While machine learning applications have become popular for attaining efficient water quality predictions, acquiring the necessary data for modelling for developing countries is challenging. This study constructs water quality prediction models by machine learning with a pseudo‐pipeline network to complement the missing data of the water supply process. Using both water source and water tap quality information measured by the Government of Nepal, we apply the three machine learning models: support vector machine (SVM), random forest (RF) and LightGBM. Furthermore, we also apply a traditional statistical method—logistic regression (LR)—to the prediction of the Escherichia coli (E. coli) contamination in water taps. With some input variables (such as the length from the nearest sources) obtained from the pseudo‐pipeline network, the results show that SVM has stable and high accuracy for both the 26 cities (70%) and for the 25 cities except for Kathmandu (79%). LR performed a significantly lower accuracy for all cities (61%) than for 25 cities (79%). Additionally, we show that our method can be applied to other regions where a water quality survey has not yet been conducted.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45576842","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}
Umair Iqbal, Muhammad Zain Bin Riaz, J. Barthélemy, Pascal Perez, Muhammad Bilal Idrees
Efficient management of water resources is an important task given the significance of water in daily lives and economic growth. Water resource management is a specific field of study which deals with the efficient management of water resources towards fulfilling the needs of society and preventing from water‐related disasters. Many activities within this domain are getting benefitted with the recent technological advancements. Within many others, computer vision‐based solutions have emerged as disruptive technologies to address complex real‐world problems within the water resource management domain (e.g., flood detection and mapping, satellite‐based water bodies monitoring, monitoring and inspection of hydraulic structures, blockage detection and assessment, drainage inspection and sewer monitoring). However, there are still many aspects within the water resource management domain which can be explored using computer vision technologies. Therefore, it is important to investigate the trends in current research related to these technologies to inform the new researchers in this domain. In this context, this paper presents the bibliometric analysis of the literature from the last two decades where computer vision technologies have been used for addressing problems within the water resource management domain. The analysis is presented in two categories: (a) performance analysis demonstrating highlighted trends in the number of publications, number of citations, top contributing countries, top publishing journals, top contributing institutions and top publishers and (b) science mapping to demonstrate the relation between the bibliographic records based on the co‐occurrence of keywords, co‐authorship analysis, co‐citation analysis and bibliographic coupling analysis. Bibliographic records (i.e., 1059) are exported from the Web of Science (WoS) core collection database using a comprehensive query of keywords. VOSviewer opensource tool is used to generate the network and overlay maps for the science mapping of bibliographic records. Results highlighted important trends and valuable insights related to the use of computer vision technologies in water resource management. An increasing trend in the number of publications and focus on deep learning/artificial intelligence (AI)‐based approaches has been reported from the analysis. Further, flood mapping, crack/fracture detection, coastal flood detection, blockage detection and drainage inspections are highlighted as active areas of research.
{"title":"The last two decades of computer vision technologies in water resource management: A bibliometric analysis","authors":"Umair Iqbal, Muhammad Zain Bin Riaz, J. Barthélemy, Pascal Perez, Muhammad Bilal Idrees","doi":"10.1111/wej.12845","DOIUrl":"https://doi.org/10.1111/wej.12845","url":null,"abstract":"Efficient management of water resources is an important task given the significance of water in daily lives and economic growth. Water resource management is a specific field of study which deals with the efficient management of water resources towards fulfilling the needs of society and preventing from water‐related disasters. Many activities within this domain are getting benefitted with the recent technological advancements. Within many others, computer vision‐based solutions have emerged as disruptive technologies to address complex real‐world problems within the water resource management domain (e.g., flood detection and mapping, satellite‐based water bodies monitoring, monitoring and inspection of hydraulic structures, blockage detection and assessment, drainage inspection and sewer monitoring). However, there are still many aspects within the water resource management domain which can be explored using computer vision technologies. Therefore, it is important to investigate the trends in current research related to these technologies to inform the new researchers in this domain. In this context, this paper presents the bibliometric analysis of the literature from the last two decades where computer vision technologies have been used for addressing problems within the water resource management domain. The analysis is presented in two categories: (a) performance analysis demonstrating highlighted trends in the number of publications, number of citations, top contributing countries, top publishing journals, top contributing institutions and top publishers and (b) science mapping to demonstrate the relation between the bibliographic records based on the co‐occurrence of keywords, co‐authorship analysis, co‐citation analysis and bibliographic coupling analysis. Bibliographic records (i.e., 1059) are exported from the Web of Science (WoS) core collection database using a comprehensive query of keywords. VOSviewer opensource tool is used to generate the network and overlay maps for the science mapping of bibliographic records. Results highlighted important trends and valuable insights related to the use of computer vision technologies in water resource management. An increasing trend in the number of publications and focus on deep learning/artificial intelligence (AI)‐based approaches has been reported from the analysis. Further, flood mapping, crack/fracture detection, coastal flood detection, blockage detection and drainage inspections are highlighted as active areas of research.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49580360","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 purpose of the present study was to adapt the activated sludge model No. 3 (ASM3) to the characteristics of oily industrial wastewater, determining the utmost significant and appropriate kinetic as well as stoichiometric parameters. An oily industrial wastewater treatment system was simulated to assess ASM3 validation and perform sensitivity analysis using the STOAT program. The obtained results revealed that the ASM3 model, which was calibrated after adding the Arrhenius equation into consideration, provided strong correlations with the analytical results of chemical oxygen demand (COD), total suspended solids (TSS), mixed liquor volatile suspended solids (MLVSS) and total suspended solids in the return activated sludge flow (TSS in RAS) concentrations. The values of modelled effluent COD and TSS are very close to those corresponding real values of the treated wastewater by a difference of between 0.5% and 1.5%. Thus, this model becomes successful in representing oily industrial wastewater treatment as a new trend added to the traditional modelling of sewage treatment.
{"title":"Performance evaluation of an oily industrial wastewater treatment system using the application of activated sludge model No. 3","authors":"Mohamed Ayoub","doi":"10.1111/wej.12843","DOIUrl":"https://doi.org/10.1111/wej.12843","url":null,"abstract":"The purpose of the present study was to adapt the activated sludge model No. 3 (ASM3) to the characteristics of oily industrial wastewater, determining the utmost significant and appropriate kinetic as well as stoichiometric parameters. An oily industrial wastewater treatment system was simulated to assess ASM3 validation and perform sensitivity analysis using the STOAT program. The obtained results revealed that the ASM3 model, which was calibrated after adding the Arrhenius equation into consideration, provided strong correlations with the analytical results of chemical oxygen demand (COD), total suspended solids (TSS), mixed liquor volatile suspended solids (MLVSS) and total suspended solids in the return activated sludge flow (TSS in RAS) concentrations. The values of modelled effluent COD and TSS are very close to those corresponding real values of the treated wastewater by a difference of between 0.5% and 1.5%. Thus, this model becomes successful in representing oily industrial wastewater treatment as a new trend added to the traditional modelling of sewage treatment.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48295609","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. Gianni, D. Panagiotaras, I. Giannakis, D. Papoulis, V. Bekiari, G. Panagopoulos, P. Petrounias, Alexandros Kalarakis
Palygorskite–TiO2 nanoparticles are frequently used as nanocatalysts. In the present study, two different nanocatalysts were developed based on the use of different palygorskite–TiO2 ratios: 40–60 and 10–90. The nanocomposites were investigated for the photocatalytic degradation of the common fungicide tebuconazole (TEB), under aquatic conditions. The samples were extensively characterized by X‐ray powder diffraction, attenuated total reflectance–Fourier transform infrared spectroscopy, scanning electron microscopy and N2 specific surface area (SSA) by Brunauer–Emmett–Teller (BET) analytical techniques. The TiO2 nanoparticles were successfully dispersed on the mineral's surfaces and the photocatalytic activity reached 88.4% for the palygorskite–TiO2 ratio of 40:60, where the dispersion was better as proved by the total pore volume and BET parameters (0.49 cm3/g and 258 m2/g compared to 0.33 cm3/g and 220 m2/g of the 10:90 ratio). The photocatalytic efficiency of the proposed materials was significantly higher than Degussa P25 (33.2%), and that makes the palygorskite–TiO2 nanocomposites very promising for advanced application in fungicides' degradation in aquatic environments.
{"title":"Palygorskite–TiO2 nanocatalysts for photocatalytic degradation of tebuconazole in water","authors":"E. Gianni, D. Panagiotaras, I. Giannakis, D. Papoulis, V. Bekiari, G. Panagopoulos, P. Petrounias, Alexandros Kalarakis","doi":"10.1111/wej.12842","DOIUrl":"https://doi.org/10.1111/wej.12842","url":null,"abstract":"Palygorskite–TiO2 nanoparticles are frequently used as nanocatalysts. In the present study, two different nanocatalysts were developed based on the use of different palygorskite–TiO2 ratios: 40–60 and 10–90. The nanocomposites were investigated for the photocatalytic degradation of the common fungicide tebuconazole (TEB), under aquatic conditions. The samples were extensively characterized by X‐ray powder diffraction, attenuated total reflectance–Fourier transform infrared spectroscopy, scanning electron microscopy and N2 specific surface area (SSA) by Brunauer–Emmett–Teller (BET) analytical techniques. The TiO2 nanoparticles were successfully dispersed on the mineral's surfaces and the photocatalytic activity reached 88.4% for the palygorskite–TiO2 ratio of 40:60, where the dispersion was better as proved by the total pore volume and BET parameters (0.49 cm3/g and 258 m2/g compared to 0.33 cm3/g and 220 m2/g of the 10:90 ratio). The photocatalytic efficiency of the proposed materials was significantly higher than Degussa P25 (33.2%), and that makes the palygorskite–TiO2 nanocomposites very promising for advanced application in fungicides' degradation in aquatic environments.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42315454","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 integration of water quality characteristics with habplot‐based habitat quality assessment score (HabQA) has received little attention in ecological quality assessment studies. This study investigated the macroinvertebrate community structure in relation with lake habitat quality and physicochemical water quality variables in Lugo Lake (Ethiopia). Twelve sampling sites (eight agricultural and four recreational) were included. The variation among macroinvertebrates data was significantly explained by HabQA score and soluble reactive phosphorus. The study revealed the greater importance of habitat quality characteristics in comparison with the other conventional physicochemical characteristics on macroinvertebrate community structure. We strongly recommend the use of HabQA system while studying macroinvertebrate community structure for a deeper understanding of the environmental functioning of tropical lakes. The results suggested the need to apply integrated and sustainable protection and management of the lake catchment (including wetlands) to enhance the ecological integrity and hence biodiversity of lakes.
{"title":"Habitat quality–physicochemical water quality–littoral macroinvertebrate community nexus in Lugo Lake (Ethiopia): Priorities for sustainable water resources management","authors":"Lebasie Woretaw, Mengesha Dagne, Adinew Gizeyatu, Chala Daba, Amanuel Atamo, Birhanu Sewunet, Sisay Abebe Debela, Amualaw Birara, Mesfin Gebrehiwot","doi":"10.1111/wej.12840","DOIUrl":"https://doi.org/10.1111/wej.12840","url":null,"abstract":"The integration of water quality characteristics with habplot‐based habitat quality assessment score (HabQA) has received little attention in ecological quality assessment studies. This study investigated the macroinvertebrate community structure in relation with lake habitat quality and physicochemical water quality variables in Lugo Lake (Ethiopia). Twelve sampling sites (eight agricultural and four recreational) were included. The variation among macroinvertebrates data was significantly explained by HabQA score and soluble reactive phosphorus. The study revealed the greater importance of habitat quality characteristics in comparison with the other conventional physicochemical characteristics on macroinvertebrate community structure. We strongly recommend the use of HabQA system while studying macroinvertebrate community structure for a deeper understanding of the environmental functioning of tropical lakes. The results suggested the need to apply integrated and sustainable protection and management of the lake catchment (including wetlands) to enhance the ecological integrity and hence biodiversity of lakes.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44090643","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 efficiency of classical Fenton (CF) and modified Fenton (MF) as well as photo‐Fenton processes in real wastewater treatment of pulp and paper (P&P) mill was investigated in this study. The chemical oxygen demand (COD) was chosen as the reference measurement for evaluating the treatment's efficiency. After determining the optimum parameters for each process, the effect of adding ultrasound (US) on improving treatment efficiency was examined. In addition, kinetic study and phytotoxicity analysis were conducted under optimum conditions for all processes. With pH 4, reaction time 50 min, 1.2 g/L Fe2+ and 8 g/L H2O2 dosages, the best removal efficiency (RE) of COD was determined to be 82.18% in CF process, and this rate rose to 90.1% when US was added. The best RE in MF process was 84.16% with the application of UV‐C, pH 4, reaction time 50 min, 1 g/L Fe0 and 8 g/L H2O2 doses, although it increased to 93.4% when US was applied. The greatest results in the seed germination test were achieved in US processes with 100% of germination percentage (GP) for spinach and tomato and 90% for cress. In the economic evaluation, when conducting the treatment without US, the estimated relative cost decreased in a 15 and 16%, for CF/UV‐C and CF processes respectively, whereas the CF process was 64% cheaper than the MF process in all applications. The US contributed to enhanced water treatment efficiency by having a significant synergistic impact on Fenton applications. Hence, the combination of photo‐Fenton and ultrasound to treat effluent from P&P mills proved to be an effective and promising technique.
{"title":"Ultrasound‐assisted photo‐Fenton process for treatment of pulp and paper mill wastewater and reduction of phytotoxicity","authors":"A. Olabi","doi":"10.1111/wej.12841","DOIUrl":"https://doi.org/10.1111/wej.12841","url":null,"abstract":"The efficiency of classical Fenton (CF) and modified Fenton (MF) as well as photo‐Fenton processes in real wastewater treatment of pulp and paper (P&P) mill was investigated in this study. The chemical oxygen demand (COD) was chosen as the reference measurement for evaluating the treatment's efficiency. After determining the optimum parameters for each process, the effect of adding ultrasound (US) on improving treatment efficiency was examined. In addition, kinetic study and phytotoxicity analysis were conducted under optimum conditions for all processes. With pH 4, reaction time 50 min, 1.2 g/L Fe2+ and 8 g/L H2O2 dosages, the best removal efficiency (RE) of COD was determined to be 82.18% in CF process, and this rate rose to 90.1% when US was added. The best RE in MF process was 84.16% with the application of UV‐C, pH 4, reaction time 50 min, 1 g/L Fe0 and 8 g/L H2O2 doses, although it increased to 93.4% when US was applied. The greatest results in the seed germination test were achieved in US processes with 100% of germination percentage (GP) for spinach and tomato and 90% for cress. In the economic evaluation, when conducting the treatment without US, the estimated relative cost decreased in a 15 and 16%, for CF/UV‐C and CF processes respectively, whereas the CF process was 64% cheaper than the MF process in all applications. The US contributed to enhanced water treatment efficiency by having a significant synergistic impact on Fenton applications. Hence, the combination of photo‐Fenton and ultrasound to treat effluent from P&P mills proved to be an effective and promising technique.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46834812","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}
Because of the low energy consumption of aeration, strong nutrient removal capacity, low greenhouse gas emissions and high resource recovery potential, the wastewater treatment process using microalgal–bacterial consortia is considered as an excellent alternative to the traditional activated sludge wastewater treatment process. In this review, the wastewater treatment process based on microalgal–bacterial consortia and its greenhouse gas emission reduction mechanism are introduced. The potential advantages and constraints of the process in carbon neutral wastewater treatment were highlighted and critically discussed. The environmental impact of wastewater treatment, the research progress of environment‐friendly treatment technologies and the challenges faced by integrating these technologies are discussed. However, the wastewater treatment process based on microalgae–bacteria consortia still needs to be studied. In the future, it is necessary to optimize the scheme for quantifying the environmental impact of wastewater treatment and further expand the recycling rate and cost value of wastewater resources.
{"title":"Advances in sustainable wastewater treatment: Microalgal–bacterial consortia process, greenhouse gas reduction and energy recovery technologies","authors":"Qingyang Guo, Feng Qi, R. Mu, Gejiang Yu, Guixia Ma, Qianya Meng","doi":"10.1111/wej.12839","DOIUrl":"https://doi.org/10.1111/wej.12839","url":null,"abstract":"Because of the low energy consumption of aeration, strong nutrient removal capacity, low greenhouse gas emissions and high resource recovery potential, the wastewater treatment process using microalgal–bacterial consortia is considered as an excellent alternative to the traditional activated sludge wastewater treatment process. In this review, the wastewater treatment process based on microalgal–bacterial consortia and its greenhouse gas emission reduction mechanism are introduced. The potential advantages and constraints of the process in carbon neutral wastewater treatment were highlighted and critically discussed. The environmental impact of wastewater treatment, the research progress of environment‐friendly treatment technologies and the challenges faced by integrating these technologies are discussed. However, the wastewater treatment process based on microalgae–bacteria consortia still needs to be studied. In the future, it is necessary to optimize the scheme for quantifying the environmental impact of wastewater treatment and further expand the recycling rate and cost value of wastewater resources.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48963665","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}
Bo Xing, Chaoting Fu, G. Yang, X. Song, Xingyong Liu, Xiaonan Liu, Qiang Zhou, Zhongcai Pan, J. You, Yuling Ye
N,S‐codoped mesoporous carbon (S/NMC) as an effective catalyst toward the catalytic persulfate oxidation of sulfamethazine (SMZ) was fabricated conveniently using vinasse as the C/N source, Na2S as the S precursor and nano‐SiO2 as the template, respectively. The effect of S precursor dosage on the textural properties and surface chemistry of S/NMCs were characterized by N2 adsorption/desorption, Raman spectra, X‐ray diffractometer (XRD), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT‐IR) and X‐ray photoelectron spectroscopy (XPS). It was found that more S precursor dosage presented an enhanced SMZ degradation performance due to the significant role of more S precursor dosage: (i) larger specific surface area and (ii) more active surface groups including pyridine N, graphite N, quinone‐like O and thiophene‐like S. In addition, quenching experiments showed that free radical and nonradical oxidation processes are the main processes of SMZ degradation. The findings provided a new idea for the resource utilization of vinasse and the development of catalytic persulfate oxidation of organic pollution.
{"title":"Oxidative degradation of sulfamethazine in aqueous solution by the activation of Na2S2O8 over vinasse‐derived N,S‐codoped mesoporous carbon","authors":"Bo Xing, Chaoting Fu, G. Yang, X. Song, Xingyong Liu, Xiaonan Liu, Qiang Zhou, Zhongcai Pan, J. You, Yuling Ye","doi":"10.1111/wej.12838","DOIUrl":"https://doi.org/10.1111/wej.12838","url":null,"abstract":"N,S‐codoped mesoporous carbon (S/NMC) as an effective catalyst toward the catalytic persulfate oxidation of sulfamethazine (SMZ) was fabricated conveniently using vinasse as the C/N source, Na2S as the S precursor and nano‐SiO2 as the template, respectively. The effect of S precursor dosage on the textural properties and surface chemistry of S/NMCs were characterized by N2 adsorption/desorption, Raman spectra, X‐ray diffractometer (XRD), transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FT‐IR) and X‐ray photoelectron spectroscopy (XPS). It was found that more S precursor dosage presented an enhanced SMZ degradation performance due to the significant role of more S precursor dosage: (i) larger specific surface area and (ii) more active surface groups including pyridine N, graphite N, quinone‐like O and thiophene‐like S. In addition, quenching experiments showed that free radical and nonradical oxidation processes are the main processes of SMZ degradation. The findings provided a new idea for the resource utilization of vinasse and the development of catalytic persulfate oxidation of organic pollution.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47414969","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}
Huu Phuong Chi Ho, T. Nguyen, Thanh Danh Vo, Cong Duc Trinh, Ngoc Lam Nguyen, Anchal Arora
The paper provides new evidence of the effect of temperature and precipitation on crop profit of farmers applying different farming systems across different seasons as well as geographical regions in Vietnam for the period 2004–2016. The result finds that the effect of fluctuation in temperature and rainfall on the crop profit of farmers is not uniform across the three regions (North, Central and South) and also considerable variation across rain‐fed and irrigated farms. For the rain‐fed farming system, (i) rainfall in the dry season has a nonlinearly (⋂) association with the profit, but rainfall in the rainy season has no effect, and (ii) dry season temperature and rainy season temperature have, respectively, ⋂‐shaped and U‐shaped relationship with the profit. For the irrigated farming systems, the temperatures in the dry season and rainy season have a U‐shaped relationship with the profit. The findings show that the irrigated farming systems have been effective in the long term in the face of climate change. Therefore, in preparation for adaptation to climate change, the Vietnamese agricultural sector needs a complete irrigation system at both farm and regional levels.
{"title":"Effect of climatic factors on farm income of rain‐fed and irrigated farming households in Vietnam","authors":"Huu Phuong Chi Ho, T. Nguyen, Thanh Danh Vo, Cong Duc Trinh, Ngoc Lam Nguyen, Anchal Arora","doi":"10.1111/wej.12835","DOIUrl":"https://doi.org/10.1111/wej.12835","url":null,"abstract":"The paper provides new evidence of the effect of temperature and precipitation on crop profit of farmers applying different farming systems across different seasons as well as geographical regions in Vietnam for the period 2004–2016. The result finds that the effect of fluctuation in temperature and rainfall on the crop profit of farmers is not uniform across the three regions (North, Central and South) and also considerable variation across rain‐fed and irrigated farms. For the rain‐fed farming system, (i) rainfall in the dry season has a nonlinearly (⋂) association with the profit, but rainfall in the rainy season has no effect, and (ii) dry season temperature and rainy season temperature have, respectively, ⋂‐shaped and U‐shaped relationship with the profit. For the irrigated farming systems, the temperatures in the dry season and rainy season have a U‐shaped relationship with the profit. The findings show that the irrigated farming systems have been effective in the long term in the face of climate change. Therefore, in preparation for adaptation to climate change, the Vietnamese agricultural sector needs a complete irrigation system at both farm and regional levels.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48459586","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}
Taher Abunama, Mohammed Seyam, Mozafar Ansari, S. Kumari, F. Bux
Aiming at achieving optimum operations of wastewater treatment plant (WWTP) processes, it is essential to develop accurate predictive models for expected influent pollutant loads. To overcome limited timespan data and model complexity, this study is devoted to propose an integration of inputs' sequential search with the adaptive neuro‐fuzzy inference system (ANFIS) for reducing the modelling complexity. The input data included nine influent parameters measured bi‐weekly for 12 years at a WWTP, South Africa (SA). The sequential search process was used for input optimization to select the most representative inputs in modelling four parameters. The obtained results indicated a strong correlation with R2 and NSE above 0.85 for the four targeted influent parameters. After validating the developed models using different criteria, the missing records were predicted throughout the study period. The integration of sequential search input optimization and ANFIS modelling was able to provide a high performance in modelling WWTP datasets.
{"title":"Integrated sequential fuzzy logic search models for simulating wastewater treatment plants missing influent parameters","authors":"Taher Abunama, Mohammed Seyam, Mozafar Ansari, S. Kumari, F. Bux","doi":"10.1111/wej.12836","DOIUrl":"https://doi.org/10.1111/wej.12836","url":null,"abstract":"Aiming at achieving optimum operations of wastewater treatment plant (WWTP) processes, it is essential to develop accurate predictive models for expected influent pollutant loads. To overcome limited timespan data and model complexity, this study is devoted to propose an integration of inputs' sequential search with the adaptive neuro‐fuzzy inference system (ANFIS) for reducing the modelling complexity. The input data included nine influent parameters measured bi‐weekly for 12 years at a WWTP, South Africa (SA). The sequential search process was used for input optimization to select the most representative inputs in modelling four parameters. The obtained results indicated a strong correlation with R2 and NSE above 0.85 for the four targeted influent parameters. After validating the developed models using different criteria, the missing records were predicted throughout the study period. The integration of sequential search input optimization and ANFIS modelling was able to provide a high performance in modelling WWTP datasets.","PeriodicalId":23753,"journal":{"name":"Water and Environment Journal","volume":null,"pages":null},"PeriodicalIF":2.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41853321","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：