Smit Vala, S. Gawali, Surendra Sasi Kumar Jampa, M. Sinha, Snigdha Khuntia
This work discussed the fabrication of polysulfone (PSF) ultrafiltration membranes with hydrophilic behaviour by adding branched polyethyleneimine (PEI) as an additive. By directly blending the base polymer and the additive in the organic solvent, the casting solution is prepared. An asymmetric ultrafiltration membrane was fabricated by the phase inversion method. The presence of PEI was confirmed by comparing the IR spectra of the plain PSF membrane and the modified PSF membrane. A scanning electron microscope was used for the comparison of morphological changes in plain and modified membranes. The membrane was characterised with respect to bovine serum albumin (BSA) adsorption, pure water flux, permeability, compaction factor, humic acid (HA) rejection, and water uptake. The fouling resistance behaviour is prompted due to the presence of hydrophilic PEI chains in the membrane. As a result, pure water flux and flux recovery ratio increased from 28.84 to 326.54 L/m2h and from 0.526 to 0.954 L/m2hkPa for the modified membrane with respect to the plain membrane, respectively.
{"title":"Ultrafiltration study of the polysulfone membrane modified with branched polyethyleneimine","authors":"Smit Vala, S. Gawali, Surendra Sasi Kumar Jampa, M. Sinha, Snigdha Khuntia","doi":"10.2166/aqua.2023.098","DOIUrl":"https://doi.org/10.2166/aqua.2023.098","url":null,"abstract":"\u0000 \u0000 This work discussed the fabrication of polysulfone (PSF) ultrafiltration membranes with hydrophilic behaviour by adding branched polyethyleneimine (PEI) as an additive. By directly blending the base polymer and the additive in the organic solvent, the casting solution is prepared. An asymmetric ultrafiltration membrane was fabricated by the phase inversion method. The presence of PEI was confirmed by comparing the IR spectra of the plain PSF membrane and the modified PSF membrane. A scanning electron microscope was used for the comparison of morphological changes in plain and modified membranes. The membrane was characterised with respect to bovine serum albumin (BSA) adsorption, pure water flux, permeability, compaction factor, humic acid (HA) rejection, and water uptake. The fouling resistance behaviour is prompted due to the presence of hydrophilic PEI chains in the membrane. As a result, pure water flux and flux recovery ratio increased from 28.84 to 326.54 L/m2h and from 0.526 to 0.954 L/m2hkPa for the modified membrane with respect to the plain membrane, respectively.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"4 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83263755","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}
Padala Raja Shekar, Aneesh Mathew, A. Pandey, Avadhoot Bhosale
Rainfall–runoff (R–R) analysis is essential for sustainable water resource management. In the present study focusing on the Peddavagu River Basin, various modelling approaches were explored, including the widely used Soil and Water Assessment Tool (SWAT) model, as well as seven artificial intelligence (AI) models. The AI models consisted of six data-driven models, namely support vector regression, artificial neural network, multiple linear regression, Extreme Gradient Boosting (XGBoost) regression, k-nearest neighbour regression, and random forest regression, along with one deep learning model called long short-term memory (LSTM). To evaluate the performance of these models, a calibration period from 1990 to 2005 and a validation period from 2006 to 2010 were considered. The evaluation metrics used were R2 (coefficient of determination) and NSE (Nash–Sutcliffe Efficiency). The study's findings revealed that all eight models yielded generally acceptable results for modelling the R–R process in the Peddavagu River Basin. Specifically, the LSTM demonstrated very good performance in simulating R–R during both the calibration period (R2 is 0.88 and NSE is 0.88) and the validation period (R2 is 0.88 and NSE is 0.85). In conclusion, the study highlighted the growing trend of adopting AI techniques, particularly the LSTM model, for R–R analysis.
{"title":"A comparison of the performance of SWAT and artificial intelligence models for monthly rainfall–runoff analysis in the Peddavagu River Basin, India","authors":"Padala Raja Shekar, Aneesh Mathew, A. Pandey, Avadhoot Bhosale","doi":"10.2166/aqua.2023.048","DOIUrl":"https://doi.org/10.2166/aqua.2023.048","url":null,"abstract":"\u0000 \u0000 Rainfall–runoff (R–R) analysis is essential for sustainable water resource management. In the present study focusing on the Peddavagu River Basin, various modelling approaches were explored, including the widely used Soil and Water Assessment Tool (SWAT) model, as well as seven artificial intelligence (AI) models. The AI models consisted of six data-driven models, namely support vector regression, artificial neural network, multiple linear regression, Extreme Gradient Boosting (XGBoost) regression, k-nearest neighbour regression, and random forest regression, along with one deep learning model called long short-term memory (LSTM). To evaluate the performance of these models, a calibration period from 1990 to 2005 and a validation period from 2006 to 2010 were considered. The evaluation metrics used were R2 (coefficient of determination) and NSE (Nash–Sutcliffe Efficiency). The study's findings revealed that all eight models yielded generally acceptable results for modelling the R–R process in the Peddavagu River Basin. Specifically, the LSTM demonstrated very good performance in simulating R–R during both the calibration period (R2 is 0.88 and NSE is 0.88) and the validation period (R2 is 0.88 and NSE is 0.85). In conclusion, the study highlighted the growing trend of adopting AI techniques, particularly the LSTM model, for R–R analysis.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"102 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80525372","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}
Undulating terrain has continued to aggravate pipe-borne water supply challenges in the Enugu Urban area. The rapid increase in urbanization has worsened the situation. This, therefore, calls for the deployment of systems that can support the effective planning of surface and underground facilities for the development of an efficient water distribution network in this region. Remote Sensing, Geographic Information Systems (GIS), Hydrographic Survey, and Geophysical Survey collectively referred to as geospatial technologies have been combined in different ways by developed nations to resolve challenges facing surface and underground facilities. This study, therefore, demonstrates the application of this technology in designing an efficient water distribution network for urban areas with undulating terrain. The spot heights dataset extracted from Light Detection and Ranging (LiDAR) satellite imagery offered the bases for the re-structure of the existing water distribution network map to accommodate the undulation of the topography. This was integrated into a GIS tool to synergize the topography with the radial and dead-end standard water distribution patterns. The result was a sub-division of the Enugu Urban Area into 12 zones with reservoirs at the most elevated points to facilitate water reticulation by gravity. The efficacy of this distribution network map was confirmed suitable with EPANET software.
{"title":"Geospatial mitigation of the effect of undulating terrain on efficient water distribution network: a case study in Enugu Urban, South-Eastern Nigeria","authors":"A. Ugwuoti, O. C. Ojinnaka, E. Ibem, V. Uzodinma","doi":"10.2166/aqua.2023.304","DOIUrl":"https://doi.org/10.2166/aqua.2023.304","url":null,"abstract":"\u0000 Undulating terrain has continued to aggravate pipe-borne water supply challenges in the Enugu Urban area. The rapid increase in urbanization has worsened the situation. This, therefore, calls for the deployment of systems that can support the effective planning of surface and underground facilities for the development of an efficient water distribution network in this region. Remote Sensing, Geographic Information Systems (GIS), Hydrographic Survey, and Geophysical Survey collectively referred to as geospatial technologies have been combined in different ways by developed nations to resolve challenges facing surface and underground facilities. This study, therefore, demonstrates the application of this technology in designing an efficient water distribution network for urban areas with undulating terrain. The spot heights dataset extracted from Light Detection and Ranging (LiDAR) satellite imagery offered the bases for the re-structure of the existing water distribution network map to accommodate the undulation of the topography. This was integrated into a GIS tool to synergize the topography with the radial and dead-end standard water distribution patterns. The result was a sub-division of the Enugu Urban Area into 12 zones with reservoirs at the most elevated points to facilitate water reticulation by gravity. The efficacy of this distribution network map was confirmed suitable with EPANET software.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"18 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84508058","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}
Vijendra Kumar, Kul Vaibhav Sharma, S. Yadav, Arpan Deshmukh
Multi-objective reservoir operation presents a number of critical challenges that must be overcome for efficient management of water resources. The inherent contradiction between several goals, such as satisfying irrigation demand and maximizing hydropower generation, is one of the major issues. Trade-offs and compromises must be carefully considered to balance these objectives. To solve this problem, a study was carried out to optimize the operation of multi-objective reservoirs with two primary goals: minimizing irrigation deficits and maximizing hydropower generation. This study employs the self-adaptive multipopulation multi-objective Jaya algorithm (SAMP-MOJA), an improved version of the Jaya algorithm, to construct an optimal Pareto Front utilizing an a priori approach. The performance of SAMP-MOJA is compared to that of other algorithms such as multi-objective particle swarm optimization, multi-objective invasive weed optimization, and multi-objective Jaya algorithm. The results of this study demonstrate that the hydropower generated by the developed model surpasses 80% of the actual generation. The study's findings will aid in designing the most effective Pareto front possible.
{"title":"Self-adaptive metaheuristic optimization technique for multi-objective reservoir operation","authors":"Vijendra Kumar, Kul Vaibhav Sharma, S. Yadav, Arpan Deshmukh","doi":"10.2166/aqua.2023.197","DOIUrl":"https://doi.org/10.2166/aqua.2023.197","url":null,"abstract":"\u0000 \u0000 Multi-objective reservoir operation presents a number of critical challenges that must be overcome for efficient management of water resources. The inherent contradiction between several goals, such as satisfying irrigation demand and maximizing hydropower generation, is one of the major issues. Trade-offs and compromises must be carefully considered to balance these objectives. To solve this problem, a study was carried out to optimize the operation of multi-objective reservoirs with two primary goals: minimizing irrigation deficits and maximizing hydropower generation. This study employs the self-adaptive multipopulation multi-objective Jaya algorithm (SAMP-MOJA), an improved version of the Jaya algorithm, to construct an optimal Pareto Front utilizing an a priori approach. The performance of SAMP-MOJA is compared to that of other algorithms such as multi-objective particle swarm optimization, multi-objective invasive weed optimization, and multi-objective Jaya algorithm. The results of this study demonstrate that the hydropower generated by the developed model surpasses 80% of the actual generation. The study's findings will aid in designing the most effective Pareto front possible.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"3 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89427344","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}
M. Asri, A. Naghizadeh, A. Hasani, Sobhan Mortazavi, A. Javid, F. Masoudi
One of the most important humic substances in water is humic acid. These substances enter water sources through soils, sediments of aquatic animals, plants and sewage. Therefore, removing them from water sources is very important. In this study, the photocatalytic removal of humic acid was investigated using zinc ferrite nanoparticles loaded with zinc oxide (ZnFe2O4@ZnO). This research was conducted in an experimental-interventional way in a batch reactor on a laboratory scale. A novel and facile method was applied for catalyst synthesis in different conditions, and it was structurally and morphologically characterized by XRD, FT-IR, SEM, DLS and EDS mapping techniques. The effects of pH (3–11), nanoparticle dose (0.005–0.1 g/L), and humic acid concentration (2–15 mg/L) were examined up to 120 min of time. The results showed that the efficiency of humic acid degradation by ZnFe2O4@ZnO reached 95% in optimal conditions. Also, it was found that this nanocomposite has an acceptable reusability and recovery after being tested in five stages.
{"title":"Sustainable green synthesis of ZnFe2O4@ZnO nanocomposite using Oleaster tree bark methanolic extract for photocatalytic degradation of aqueous humic acid in the presence of UVc irradiation","authors":"M. Asri, A. Naghizadeh, A. Hasani, Sobhan Mortazavi, A. Javid, F. Masoudi","doi":"10.2166/aqua.2023.313","DOIUrl":"https://doi.org/10.2166/aqua.2023.313","url":null,"abstract":"\u0000 \u0000 One of the most important humic substances in water is humic acid. These substances enter water sources through soils, sediments of aquatic animals, plants and sewage. Therefore, removing them from water sources is very important. In this study, the photocatalytic removal of humic acid was investigated using zinc ferrite nanoparticles loaded with zinc oxide (ZnFe2O4@ZnO). This research was conducted in an experimental-interventional way in a batch reactor on a laboratory scale. A novel and facile method was applied for catalyst synthesis in different conditions, and it was structurally and morphologically characterized by XRD, FT-IR, SEM, DLS and EDS mapping techniques. The effects of pH (3–11), nanoparticle dose (0.005–0.1 g/L), and humic acid concentration (2–15 mg/L) were examined up to 120 min of time. The results showed that the efficiency of humic acid degradation by ZnFe2O4@ZnO reached 95% in optimal conditions. Also, it was found that this nanocomposite has an acceptable reusability and recovery after being tested in five stages.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"16 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79452046","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}
Z. H. Mseli, Alfred Said, G. Sankaranna, W. Mwegoha
Groundwater sustainability ensures groundwater development and uses to meet current and future beneficial purposes without causing unacceptable environmental, economic, or social consequences. In semi-arid regions, water resources are typically limited, and water management is critical to ensure a sustainable water supply. Groundwater sustainability indexing is vital for meaning groundwater management. The study used four indicators in six dimensions, i.e., quantitative and qualitative hydrogeology, environmental, social-economic, and political factors, to evaluate the sustainability of the aquifer in Makutupora basin, Dodoma, Tanzania. The resulting aquifer sustainability index is 0.59, with a 95% confidence interval between 0.3856 and 0.7944, showing that the aquifer is satisfactory sustainable. The hydrogeological analysis revealed that groundwater sustainability is promising, although groundwater use per capita is alarming. This study also recommends effective water management strategies, including improving water use efficiency, promoting water conservation, implementing policies to limit water withdrawals, and promoting alternative water sources such as recycled wastewater, especially for agricultural activities.
{"title":"The sustainability of groundwater in semi-arid regions: the case of Makutupora Basin in Tanzania","authors":"Z. H. Mseli, Alfred Said, G. Sankaranna, W. Mwegoha","doi":"10.2166/aqua.2023.056","DOIUrl":"https://doi.org/10.2166/aqua.2023.056","url":null,"abstract":"\u0000 Groundwater sustainability ensures groundwater development and uses to meet current and future beneficial purposes without causing unacceptable environmental, economic, or social consequences. In semi-arid regions, water resources are typically limited, and water management is critical to ensure a sustainable water supply. Groundwater sustainability indexing is vital for meaning groundwater management. The study used four indicators in six dimensions, i.e., quantitative and qualitative hydrogeology, environmental, social-economic, and political factors, to evaluate the sustainability of the aquifer in Makutupora basin, Dodoma, Tanzania. The resulting aquifer sustainability index is 0.59, with a 95% confidence interval between 0.3856 and 0.7944, showing that the aquifer is satisfactory sustainable. The hydrogeological analysis revealed that groundwater sustainability is promising, although groundwater use per capita is alarming. This study also recommends effective water management strategies, including improving water use efficiency, promoting water conservation, implementing policies to limit water withdrawals, and promoting alternative water sources such as recycled wastewater, especially for agricultural activities.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"22 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78739542","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 traditional groundwater overexploitation restoration only considers the impact on groundwater, on the basis of which, this paper also comprehensively considers the impact on economic society and the ecological environment. Based on analyzing the effect of groundwater overexploitation restoration on the groundwater–economic society–ecological environment (GESEE) system, an evaluation indicator system covering the GESEE system was constructed, an evaluation method for the effect of groundwater overexploitation restoration was established, and the effects were evaluated for Hebei Province, China, from 2014 to 2019. The results showed that the effect of groundwater overexploitation restoration in Hebei Province was obvious, and the grade of the groundwater overexploitation restoration effect improved from fair to good. The grade of the groundwater overexploitation restoration effect in most cities was improved to good. The measures that most affected the effect of groundwater overexploitation restoration in Hebei Province are strict control of extraction and reduction of consumption, while measures such as the replacement of water sources also play a significant role. An evaluation indicator system constructed in this paper can help to promote sophisticated effect evaluation of groundwater overexploitation restoration and improve the understanding and management of groundwater overexploitation restoration.
{"title":"Comprehensive evaluation of the effect of regional groundwater overexploitation restoration","authors":"M. Ling, Jiangyu Chen, Fei Liu, Lili Yu, Fengkai Li, Qinyuan Xia","doi":"10.2166/aqua.2023.041","DOIUrl":"https://doi.org/10.2166/aqua.2023.041","url":null,"abstract":"\u0000 \u0000 The traditional groundwater overexploitation restoration only considers the impact on groundwater, on the basis of which, this paper also comprehensively considers the impact on economic society and the ecological environment. Based on analyzing the effect of groundwater overexploitation restoration on the groundwater–economic society–ecological environment (GESEE) system, an evaluation indicator system covering the GESEE system was constructed, an evaluation method for the effect of groundwater overexploitation restoration was established, and the effects were evaluated for Hebei Province, China, from 2014 to 2019. The results showed that the effect of groundwater overexploitation restoration in Hebei Province was obvious, and the grade of the groundwater overexploitation restoration effect improved from fair to good. The grade of the groundwater overexploitation restoration effect in most cities was improved to good. The measures that most affected the effect of groundwater overexploitation restoration in Hebei Province are strict control of extraction and reduction of consumption, while measures such as the replacement of water sources also play a significant role. An evaluation indicator system constructed in this paper can help to promote sophisticated effect evaluation of groundwater overexploitation restoration and improve the understanding and management of groundwater overexploitation restoration.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"86 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77780610","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}
Nanocomposites have modified properties such as uniform size distribution, small size, high surface-to-volume ratio, high absorbability, porosity, and various potential roles, including in catalytic and biological activities. The purpose of this research study was to systematically review all research studies on the photocatalytic decomposition of pollutants by NiFe2O4-based nanocomposites and evaluate the optimal laboratory conditions and the results of these studies. The present systematic review was conducted by searching Scopus, PubMed, and Web of Science databases until March 2022. The parameters of nanocatalyst type and size, synthesis methods, pollutant type, optimal pH, optimal initial pollutant concentration, optimal catalyst concentration, optimal time, radiation, and removal efficiency were investigated. 454 studies were screened and using the inclusion and exclusion criteria, in total, 31 studies met our inclusion criteria and provided the information necessary for the photocatalytic degradation of pollutants by NiFe2O4-based nanocomposites. In the investigated studies, the percentage of photocatalytic degradation of pollutants by NiFe2O4-based nanocomposites was reported to be above 70%, and in some studies, the removal efficiency had reached 100%. From the results of this systematic review, it was concluded that the photocatalytic process using NiFe2O4-based nanocomposites has a high effect on the degradation of aqueous solution pollutants.
纳米复合材料具有尺寸分布均匀、体积小、高表面体积比、高吸附性、多孔性等特性，具有催化和生物活性等多种潜在作用。本研究的目的是系统地回顾了nife2o4基纳米复合材料光催化分解污染物的所有研究成果，并评价了这些研究的最佳实验室条件和结果。本系统评价是通过检索Scopus、PubMed和Web of Science数据库进行的，检索时间截止到2022年3月。考察了纳米催化剂类型和粒径、合成方法、污染物类型、最佳pH、最佳初始污染物浓度、最佳催化剂浓度、最佳时间、辐射和去除效率等参数。使用纳入和排除标准筛选了454项研究，总共有31项研究符合我们的纳入标准，为nife2o4基纳米复合材料光催化降解污染物提供了必要的信息。在所调查的研究中，有报道称nife2o4基纳米复合材料光催化降解污染物的百分比在70%以上，在一些研究中，去除率达到100%。本系统综述的结果表明，基于nife2o4的纳米复合材料的光催化工艺对水中污染物的降解具有很高的效果。
{"title":"Recent advancement in NiFe2O4-based nanocomposites for the photocatalytic degradation of pollutants in aqueous solutions: a comprehensive systematic review","authors":"E. Derakhshani, A. Naghizadeh","doi":"10.2166/aqua.2023.316","DOIUrl":"https://doi.org/10.2166/aqua.2023.316","url":null,"abstract":"\u0000 Nanocomposites have modified properties such as uniform size distribution, small size, high surface-to-volume ratio, high absorbability, porosity, and various potential roles, including in catalytic and biological activities. The purpose of this research study was to systematically review all research studies on the photocatalytic decomposition of pollutants by NiFe2O4-based nanocomposites and evaluate the optimal laboratory conditions and the results of these studies. The present systematic review was conducted by searching Scopus, PubMed, and Web of Science databases until March 2022. The parameters of nanocatalyst type and size, synthesis methods, pollutant type, optimal pH, optimal initial pollutant concentration, optimal catalyst concentration, optimal time, radiation, and removal efficiency were investigated. 454 studies were screened and using the inclusion and exclusion criteria, in total, 31 studies met our inclusion criteria and provided the information necessary for the photocatalytic degradation of pollutants by NiFe2O4-based nanocomposites. In the investigated studies, the percentage of photocatalytic degradation of pollutants by NiFe2O4-based nanocomposites was reported to be above 70%, and in some studies, the removal efficiency had reached 100%. From the results of this systematic review, it was concluded that the photocatalytic process using NiFe2O4-based nanocomposites has a high effect on the degradation of aqueous solution pollutants.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"37 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91054825","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}
Flash floods present a significant risk to urbanized arid regions, and assessing their inundation patterns is crucial for effective disaster management. Extreme hydrologic events due to aridity and climate change are shaping human lives and major activities in numerous countries at an unprecedented pace. This study aims to assess flash floods from extreme storm events in an arid catchment using high-resolution data. The study applied two models on the event of a single storm, namely the IHACRES and AHP models. The observed flow was used for models' validation. The average flow output determined with the IHACRES model was approximately 0.47 m3/s while the flow output resulting from the AHP model was 0.45 m3/s. The efficiency showed that the IHACRES performed better in evaluating extreme events with an average of 0.88 while the AHP model showed an efficiency of 0.68. Nonetheless, the quantitative simulation outputs of both models are likely to have good applicability for simulating single storm events in arid catchments. The validated IHACRES and AHP models offer valuable tools for simulating flash flood. The study's outcomes have implications for flood management policy and infrastructure planning, ensuring a more resilient response to extreme flood events in arid regions globally.
{"title":"Assessing flash flood inundation from extreme rainfall event: case study: Wadi Al Jizzi Oman","authors":"E. Abushandi, Moza Al Sarihi, O. Ibrahim","doi":"10.2166/aqua.2023.100","DOIUrl":"https://doi.org/10.2166/aqua.2023.100","url":null,"abstract":"\u0000 Flash floods present a significant risk to urbanized arid regions, and assessing their inundation patterns is crucial for effective disaster management. Extreme hydrologic events due to aridity and climate change are shaping human lives and major activities in numerous countries at an unprecedented pace. This study aims to assess flash floods from extreme storm events in an arid catchment using high-resolution data. The study applied two models on the event of a single storm, namely the IHACRES and AHP models. The observed flow was used for models' validation. The average flow output determined with the IHACRES model was approximately 0.47 m3/s while the flow output resulting from the AHP model was 0.45 m3/s. The efficiency showed that the IHACRES performed better in evaluating extreme events with an average of 0.88 while the AHP model showed an efficiency of 0.68. Nonetheless, the quantitative simulation outputs of both models are likely to have good applicability for simulating single storm events in arid catchments. The validated IHACRES and AHP models offer valuable tools for simulating flash flood. The study's outcomes have implications for flood management policy and infrastructure planning, ensuring a more resilient response to extreme flood events in arid regions globally.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"97 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79476800","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}
Water scarcity throughout the world has led to major difficulties and complexities in managing water demands. These challenges gravitate towards the development of efficient methods for optimal reservoir operation. The present study aims to introduce a hybrid approach which integrates Invasive Weed Optimization (IWO) and Cuckoo Search Algorithm (CSA), with an objective to minimize the deficits for Indira Sagar Reservoir (ISR), India. To prevail over the limitations of the Weed Optimization Algorithm (WOA) and CSA, a critical comparison has been made in the study. The hybrid approach has improved the performance by 5 and 9% as compared to WOA and CSA, respectively. For the reservoir system, the Cv for 10 random runs was computed to be 0.0303 using the hybrid model, whereas for WOA and CSA, Cv was 0.22034 and 0.30698, respectively. Based on the performance measuring indices, results revealed that the hybrid model is more reliable and sustainable with the minimum error between release and demand. In addition, results reveal that the deficits have been reduced by 62% on average for the considered study period using the hybrid approach. Therefore, the results show that the proposed hybrid model has considerable potential to be used as an optimizer for complex reservoir operation problems.
{"title":"Reservoir operation management using a new hybrid algorithm of Invasive Weed Optimization and Cuckoo Search Algorithm","authors":"M. Trivedi, R. Shrivastava","doi":"10.2166/aqua.2023.106","DOIUrl":"https://doi.org/10.2166/aqua.2023.106","url":null,"abstract":"\u0000 \u0000 Water scarcity throughout the world has led to major difficulties and complexities in managing water demands. These challenges gravitate towards the development of efficient methods for optimal reservoir operation. The present study aims to introduce a hybrid approach which integrates Invasive Weed Optimization (IWO) and Cuckoo Search Algorithm (CSA), with an objective to minimize the deficits for Indira Sagar Reservoir (ISR), India. To prevail over the limitations of the Weed Optimization Algorithm (WOA) and CSA, a critical comparison has been made in the study. The hybrid approach has improved the performance by 5 and 9% as compared to WOA and CSA, respectively. For the reservoir system, the Cv for 10 random runs was computed to be 0.0303 using the hybrid model, whereas for WOA and CSA, Cv was 0.22034 and 0.30698, respectively. Based on the performance measuring indices, results revealed that the hybrid model is more reliable and sustainable with the minimum error between release and demand. In addition, results reveal that the deficits have been reduced by 62% on average for the considered study period using the hybrid approach. Therefore, the results show that the proposed hybrid model has considerable potential to be used as an optimizer for complex reservoir operation problems.","PeriodicalId":34693,"journal":{"name":"AQUA-Water Infrastructure Ecosystems and Society","volume":"1 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89312040","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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