Pub Date : 2021-09-29DOI: 10.1080/23249676.2021.1982028
Nereida López-Calatayud, A. Márquez‐Romance, Edilberto Guevara-Pérez
This article presents, as a novelty, a proposal for management modeling of a tropical wetland in the frame of Ramsar convention. The model is based on the combination of the components and criteria established in the 4th Strategic Plan 2016–2024 of the Ramsar Convention on Wetlands with Bloom’s Taxonomy. The results of the qualitative analysis contributed to establish the scope of the degree of commitment of Latin countries through the proposed Wetland Management Strategic Plan (WMSP) and its implementation demonstrated at the 13th Meeting of the Conference of the Contracting Parties. The proposed wetland management model constitutes a tool to contribute with an integral wetland management model index, resulting in the weighting of the indexes associated with the Bloom Taxonomy in five levels that include knowledge, comprehension, application, evaluation and creation, which are influenced by the implementation in the Latin countries of targets linked to the goals of a Ramsar-WMSP.
{"title":"Wetland management modeling in the frame of Ramsar convention","authors":"Nereida López-Calatayud, A. Márquez‐Romance, Edilberto Guevara-Pérez","doi":"10.1080/23249676.2021.1982028","DOIUrl":"https://doi.org/10.1080/23249676.2021.1982028","url":null,"abstract":"This article presents, as a novelty, a proposal for management modeling of a tropical wetland in the frame of Ramsar convention. The model is based on the combination of the components and criteria established in the 4th Strategic Plan 2016–2024 of the Ramsar Convention on Wetlands with Bloom’s Taxonomy. The results of the qualitative analysis contributed to establish the scope of the degree of commitment of Latin countries through the proposed Wetland Management Strategic Plan (WMSP) and its implementation demonstrated at the 13th Meeting of the Conference of the Contracting Parties. The proposed wetland management model constitutes a tool to contribute with an integral wetland management model index, resulting in the weighting of the indexes associated with the Bloom Taxonomy in five levels that include knowledge, comprehension, application, evaluation and creation, which are influenced by the implementation in the Latin countries of targets linked to the goals of a Ramsar-WMSP.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"296 - 310"},"PeriodicalIF":1.2,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41718435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-28DOI: 10.1080/23249676.2021.1978881
D. V. Wadkar, R. Karale, M. Wagh
Analysis of traditional water distribution network (WDN) is more time-consuming and less effective to predict the problem related to water supply systems such as water quality, coagulant dose, and residual chlorine in developing countries. In the present paper water quality neural network, coagulation dose neural network, and residual neural network model were implemented. The performance of the Cascade Feed Forward Neural Network (CFFNN) and Feedforward neural network (FFNN) was excellent for the prediction of water quality parameters and residual chlorine respectively during the training and testing period. CFFNN water quality model (27-30-27) with R = 0.989 produced an excellent prediction of outlet water quality parameters. In coagulant dose modelling, CFFNN (2-40-1) yielded a good prediction with R = 0.947 for a broad range of turbidities as compared to other models. Similarly in residual chlorine modelling, FFNN (2-25-1) delivered the best prediction with R = 0.988 as compared to other models.
{"title":"Application of soft computing in water treatment plant and water distribution network","authors":"D. V. Wadkar, R. Karale, M. Wagh","doi":"10.1080/23249676.2021.1978881","DOIUrl":"https://doi.org/10.1080/23249676.2021.1978881","url":null,"abstract":"Analysis of traditional water distribution network (WDN) is more time-consuming and less effective to predict the problem related to water supply systems such as water quality, coagulant dose, and residual chlorine in developing countries. In the present paper water quality neural network, coagulation dose neural network, and residual neural network model were implemented. The performance of the Cascade Feed Forward Neural Network (CFFNN) and Feedforward neural network (FFNN) was excellent for the prediction of water quality parameters and residual chlorine respectively during the training and testing period. CFFNN water quality model (27-30-27) with R = 0.989 produced an excellent prediction of outlet water quality parameters. In coagulant dose modelling, CFFNN (2-40-1) yielded a good prediction with R = 0.947 for a broad range of turbidities as compared to other models. Similarly in residual chlorine modelling, FFNN (2-25-1) delivered the best prediction with R = 0.988 as compared to other models.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"261 - 277"},"PeriodicalIF":1.2,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41996206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-22DOI: 10.1080/23249676.2021.1978880
Raghied M. Atta
As the consumption of water is increasing in arid countries such as Saudi Arabia, water management becomes a big challenge for both the government and society. The challenge also includes supplying continuous water with good quality at minimum cost. In this paper, we introduce a smart water management system that can be used in buildings where continuous flow of water is not available; instead, water is stored in big tanks underground of the buildings. The proposed smart system regulates the water flow between the underground tanks and other tanks on the top of the buildings and controls the water level in these tanks using LoRa communication technology. If the system detects any shortage of water or fault in the system mechanism that affect the water flow, such as faulty valves or defective pump, it deactivates the corresponding part and send an emergency signal to the building’s manager. In the mean time, the system also measures certain important water quality elements continuously and sends warning messages to the building’s manager if the value of any of these measurements exceeds safe levels. The system was run for a long period of time, where all water quality parameters were recorded. The system stopped and sent an emergency signal when water pump was deliberately disconnected but went back to operation after the pump was connected again. The proposed system proved to be a very good solution to the existing mechanically controlled system that most buildings in Saudi Arabia have.
{"title":"Smart water management system for residential buildings in Saudi Arabia","authors":"Raghied M. Atta","doi":"10.1080/23249676.2021.1978880","DOIUrl":"https://doi.org/10.1080/23249676.2021.1978880","url":null,"abstract":"As the consumption of water is increasing in arid countries such as Saudi Arabia, water management becomes a big challenge for both the government and society. The challenge also includes supplying continuous water with good quality at minimum cost. In this paper, we introduce a smart water management system that can be used in buildings where continuous flow of water is not available; instead, water is stored in big tanks underground of the buildings. The proposed smart system regulates the water flow between the underground tanks and other tanks on the top of the buildings and controls the water level in these tanks using LoRa communication technology. If the system detects any shortage of water or fault in the system mechanism that affect the water flow, such as faulty valves or defective pump, it deactivates the corresponding part and send an emergency signal to the building’s manager. In the mean time, the system also measures certain important water quality elements continuously and sends warning messages to the building’s manager if the value of any of these measurements exceeds safe levels. The system was run for a long period of time, where all water quality parameters were recorded. The system stopped and sent an emergency signal when water pump was deliberately disconnected but went back to operation after the pump was connected again. The proposed system proved to be a very good solution to the existing mechanically controlled system that most buildings in Saudi Arabia have.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"224 - 237"},"PeriodicalIF":1.2,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43212233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-16DOI: 10.1080/23249676.2021.1961617
Y. Hafez
A discrete Finite Element model is developed to simulate the nonlinear pressure-discharge relationship in water networks. The model is applied to several cases of water distribution networks. Of particular interest is the success of the developed model in predicting accurately the heads and pipe flows at Hanoi water network and New York water tunnels network. An advantage of the proposed model is that the initial nodal pressure heads or pipe flows need not to be prescribed a priori. The finite element method has the advantages of handling very large network sizes, ease in adding various hydraulic elements to the network, and avoiding use of artificial loops. It is found that a combination of the Secant and Newton–Raphson methods reduces significantly the number of iterations. A new form of the head loss equation is suggested which allows for variation of the roughness, pipe diameter and discharge along each pipe.
{"title":"Modeling of nonlinear water distribution networks by the finite element method","authors":"Y. Hafez","doi":"10.1080/23249676.2021.1961617","DOIUrl":"https://doi.org/10.1080/23249676.2021.1961617","url":null,"abstract":"A discrete Finite Element model is developed to simulate the nonlinear pressure-discharge relationship in water networks. The model is applied to several cases of water distribution networks. Of particular interest is the success of the developed model in predicting accurately the heads and pipe flows at Hanoi water network and New York water tunnels network. An advantage of the proposed model is that the initial nodal pressure heads or pipe flows need not to be prescribed a priori. The finite element method has the advantages of handling very large network sizes, ease in adding various hydraulic elements to the network, and avoiding use of artificial loops. It is found that a combination of the Secant and Newton–Raphson methods reduces significantly the number of iterations. A new form of the head loss equation is suggested which allows for variation of the roughness, pipe diameter and discharge along each pipe.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"157 - 173"},"PeriodicalIF":1.2,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47559357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-17DOI: 10.1080/23249676.2021.1964389
Raul Fontes Santana, A. B. Celeste
This work applied implicit stochastic optimization (ISO) refined by long-term mean inflow forecasting and instance-based learning for the operation of the Sobradinho reservoir, Brazil. For efficiency assessment, the reservoir was also operated by perfect-forecast deterministic optimization, the standard operating policy, stochastic dynamic programming and two parameterization-simulation-optimization models, which were compared in terms of vulnerability, reliability and resilience found in each of the 100 synthetic inflow scenarios they were applied to. Evidence of long-term persistence was found in Sobradinho's records and this was replicated in the scenarios. The ISO model was employed with forecast horizons of 0, 1, 3, 6, 9, 12, 18 and 24 months. The operations demonstrated that the model with forecast horizons of 3 months or more was less vulnerable than all other models, revealing that it may be used efficiently for reservoir operation.
{"title":"Stochastic reservoir operation with data-driven modeling and inflow forecasting","authors":"Raul Fontes Santana, A. B. Celeste","doi":"10.1080/23249676.2021.1964389","DOIUrl":"https://doi.org/10.1080/23249676.2021.1964389","url":null,"abstract":"This work applied implicit stochastic optimization (ISO) refined by long-term mean inflow forecasting and instance-based learning for the operation of the Sobradinho reservoir, Brazil. For efficiency assessment, the reservoir was also operated by perfect-forecast deterministic optimization, the standard operating policy, stochastic dynamic programming and two parameterization-simulation-optimization models, which were compared in terms of vulnerability, reliability and resilience found in each of the 100 synthetic inflow scenarios they were applied to. Evidence of long-term persistence was found in Sobradinho's records and this was replicated in the scenarios. The ISO model was employed with forecast horizons of 0, 1, 3, 6, 9, 12, 18 and 24 months. The operations demonstrated that the model with forecast horizons of 3 months or more was less vulnerable than all other models, revealing that it may be used efficiently for reservoir operation.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"212 - 223"},"PeriodicalIF":1.2,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41366777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-06DOI: 10.1080/23249676.2021.1956378
Yilma Kidanie, B. Grum, Shishay Yemane
This study was conducted to assess scour problems at three selected bridge sites in the Tigray region, northern Ethiopia, namely the Ilala, upper Geba, and Tankwa bridges. Smart-GIS, ArcGIS, Hydrologic Engineering Centre Hydrologic Modeling System (HEC-HMS), and Hydrologic Engineering Centre River Analysis System (HEC-RAS) were used for the river morphology, hydrologic, and hydraulic analysis. The riverbanks were subjected to higher degradation and instability problems. The estimated 100-year flows were 272.5, 940.4, and 249.9 m3/s for Ilala, upper Geba, and Tankwa bridges, respectively. Flow depth calibration were resulted in model performance with Nash Sutcliffe Efficiencies of 0.90, 0.88, and 0.87 for Ilala, upper Geba, and Tankwa bridge sites, respectively. Scour depths were 1.3, 1.6, and 0.8 m at contracted sections; 3.2, 3.0, and 2.2 m at the piers; 2.6, 3.6, and 2.2 m at the left abutment; and 1.6, 3.0, and 2.1 m at the right abutment of Ilala, upper Geba, and Tankwa bridges, respectively. The use of riprap at the bridges resulted in the reduction of scour depths by 60–100%. Overall, the hydrologic and hydraulic models performed well.
{"title":"Hydrologic and hydraulic assessment of scour problems at bridge sites in Tigray region, northern Ethiopia","authors":"Yilma Kidanie, B. Grum, Shishay Yemane","doi":"10.1080/23249676.2021.1956378","DOIUrl":"https://doi.org/10.1080/23249676.2021.1956378","url":null,"abstract":"This study was conducted to assess scour problems at three selected bridge sites in the Tigray region, northern Ethiopia, namely the Ilala, upper Geba, and Tankwa bridges. Smart-GIS, ArcGIS, Hydrologic Engineering Centre Hydrologic Modeling System (HEC-HMS), and Hydrologic Engineering Centre River Analysis System (HEC-RAS) were used for the river morphology, hydrologic, and hydraulic analysis. The riverbanks were subjected to higher degradation and instability problems. The estimated 100-year flows were 272.5, 940.4, and 249.9 m3/s for Ilala, upper Geba, and Tankwa bridges, respectively. Flow depth calibration were resulted in model performance with Nash Sutcliffe Efficiencies of 0.90, 0.88, and 0.87 for Ilala, upper Geba, and Tankwa bridge sites, respectively. Scour depths were 1.3, 1.6, and 0.8 m at contracted sections; 3.2, 3.0, and 2.2 m at the piers; 2.6, 3.6, and 2.2 m at the left abutment; and 1.6, 3.0, and 2.1 m at the right abutment of Ilala, upper Geba, and Tankwa bridges, respectively. The use of riprap at the bridges resulted in the reduction of scour depths by 60–100%. Overall, the hydrologic and hydraulic models performed well.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"144 - 156"},"PeriodicalIF":1.2,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2021.1956378","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47830545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-06DOI: 10.1080/23249676.2021.1961618
C. A. Mulatu, A. Crosato, E. Langendoen, M. Moges, M. McClain
The Fogera Plain, Ethiopia, is affected by recurrent flooding of the Ribb and Gumara Rivers. A large dam on the Ribb River is under construction for irrigation, but also to reduce flooding. We investigated the effects of the dam on the flood regime of the floodplain wetlands using a combination of hydrodynamic and a rainfall-runoff models. The model was calibrated based on inundation maps retrieved from Landsat images. Pre- and post-dam model comparison for 10 years shows that the dam will reduce the flooding extent by 11%, as it only regulates 23.8% of the upstream watershed. The flood extent and duration necessary to maintain ecologically significant water depths (≥ 0.5 m) show no notable changes. The developed hydrologic and hydrodynamic models can be used to analyze other dam operation and climate change scenarios even though there are uncertainties related to terrain resolution and analysis of hydrological data.
{"title":"Alteration of the Fogera Plain flood regime due to Ribb Dam construction, Upper Blue Nile Basin, Ethiopia","authors":"C. A. Mulatu, A. Crosato, E. Langendoen, M. Moges, M. McClain","doi":"10.1080/23249676.2021.1961618","DOIUrl":"https://doi.org/10.1080/23249676.2021.1961618","url":null,"abstract":"The Fogera Plain, Ethiopia, is affected by recurrent flooding of the Ribb and Gumara Rivers. A large dam on the Ribb River is under construction for irrigation, but also to reduce flooding. We investigated the effects of the dam on the flood regime of the floodplain wetlands using a combination of hydrodynamic and a rainfall-runoff models. The model was calibrated based on inundation maps retrieved from Landsat images. Pre- and post-dam model comparison for 10 years shows that the dam will reduce the flooding extent by 11%, as it only regulates 23.8% of the upstream watershed. The flood extent and duration necessary to maintain ecologically significant water depths (≥ 0.5 m) show no notable changes. The developed hydrologic and hydrodynamic models can be used to analyze other dam operation and climate change scenarios even though there are uncertainties related to terrain resolution and analysis of hydrological data.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"175 - 196"},"PeriodicalIF":1.2,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2021.1961618","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43201603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-04DOI: 10.1080/23249676.2021.1958712
Razieh Ahmadizadeh, S. Shokrollahzadeh, Seyed Mahdi Latifi
Produced water (PW) is a prominent brine waste in the petroleum industry, which can be reused after desalination. In this work, the influence of PW salinity variation and its composition on PW desalination through the forward osmosis process, using cellulose triacetate membrane, was investigated. In the absence of oil, increasing feed salinity from 10 to 20 g/L causes water flux to decrease from 9.43 to 7.33 LM.H. By adding 750 mg/L oil to the feed solutions with different compositions, the resulted water fluxes were almost the same and were around 7.5 LMH. The membrane fouling investigation in long-period operation (5000 min) showed a decrease of 37% in water flux. It was observed that osmotic backwashing, conducted by using 0.5 and 2 M NaCl, and chemical cleaning, treated by sodium dodecyl sulfate solution, recovered the water flux to 75% and 85% of the initial fluxes, respectively.
采出水（PW）是石油工业中一种突出的盐水废物，经脱盐后可重复使用。在本工作中，研究了PW盐度变化及其组成对使用三乙酸纤维素膜的正渗透工艺进行PW脱盐的影响。在没有油的情况下，将进料盐度从10提高到20 g/L导致水通量从9.43下降到7.33 LM。H.增加750 mg/L油加入不同组成的进料溶液中，得到的水通量几乎相同，约为7.5LMH。长周期运行中的膜污染研究（5000 min）显示水通量降低37%。观察到渗透反洗，通过使用0.5和2 M NaCl和化学清洗，用十二烷基硫酸钠溶液处理，水通量分别恢复到初始通量的75%和85%。
{"title":"Forward osmosis performance in extracting water from produced water","authors":"Razieh Ahmadizadeh, S. Shokrollahzadeh, Seyed Mahdi Latifi","doi":"10.1080/23249676.2021.1958712","DOIUrl":"https://doi.org/10.1080/23249676.2021.1958712","url":null,"abstract":"Produced water (PW) is a prominent brine waste in the petroleum industry, which can be reused after desalination. In this work, the influence of PW salinity variation and its composition on PW desalination through the forward osmosis process, using cellulose triacetate membrane, was investigated. In the absence of oil, increasing feed salinity from 10 to 20 g/L causes water flux to decrease from 9.43 to 7.33 LM.H. By adding 750 mg/L oil to the feed solutions with different compositions, the resulted water fluxes were almost the same and were around 7.5 LMH. The membrane fouling investigation in long-period operation (5000 min) showed a decrease of 37% in water flux. It was observed that osmotic backwashing, conducted by using 0.5 and 2 M NaCl, and chemical cleaning, treated by sodium dodecyl sulfate solution, recovered the water flux to 75% and 85% of the initial fluxes, respectively.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"78 - 86"},"PeriodicalIF":1.2,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2021.1958712","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45532447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-29DOI: 10.1080/23249676.2021.1956377
T. K. Drissia, T. Anjali
Water scarcity is a complex problem that progresses very slowly over time. This study gives a procedure for the evaluation of water scarcity in a river basin. The study area is the Bharathapuzha river basin in Kerala, India. The present study has two steps (i) assessment of water scarcity using blue water scarcity indicator and (ii) analysis of influential factors. The extent and severity of water scarcity rise during January and February and reach maximum during March. The influential factors such as variation in change in demand, hydrological parameters, and the impact of land use change and engineering measures on streamflow are analysed. Among the findings are the increase in demand due to growth in industries and population, long-term reduction in annual and southwest monsoon, especially in water scarce regions. In addition, Soil Water Assessment Tool model has been carried out to find the impact of land use change and engineering measures.
{"title":"Influential factors of water scarcity in Bharathapuzha basin, India","authors":"T. K. Drissia, T. Anjali","doi":"10.1080/23249676.2021.1956377","DOIUrl":"https://doi.org/10.1080/23249676.2021.1956377","url":null,"abstract":"Water scarcity is a complex problem that progresses very slowly over time. This study gives a procedure for the evaluation of water scarcity in a river basin. The study area is the Bharathapuzha river basin in Kerala, India. The present study has two steps (i) assessment of water scarcity using blue water scarcity indicator and (ii) analysis of influential factors. The extent and severity of water scarcity rise during January and February and reach maximum during March. The influential factors such as variation in change in demand, hydrological parameters, and the impact of land use change and engineering measures on streamflow are analysed. Among the findings are the increase in demand due to growth in industries and population, long-term reduction in annual and southwest monsoon, especially in water scarce regions. In addition, Soil Water Assessment Tool model has been carried out to find the impact of land use change and engineering measures.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"129 - 143"},"PeriodicalIF":1.2,"publicationDate":"2021-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2021.1956377","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47937688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1080/23249676.2021.1948361
Shreemoyee Bordoloi, R. Chetia, Geetika Borah, S. Konwer
A novel ternary adsorbent was prepared by reductive deposition of zerovalent iron on reduced graphene oxide through in-situ polymerization of aniline. SEM/EDS study showed an irregular, porous, and heterogeneous surface morphology with iron available for As binding. Batch adsorption experiments were conducted to determine the optimum conditions for As adsorption with optimum adsorbent dose, initial concentration of As, pH etc. Under optimized conditions, the maximum removal percentage of As was 99.6% for As(III) and 89% for As(V). The adsorption of arsenic on the composite was fitted well to the pseudo-second-order kinetic model and obeyed both Langmuir [R 2 = 0.955 for As(III) and 0.992 for As(V)] and Freundlich [R 2 = 0.975 for As(III) and 0.993 for As(V)] models. In aqueous solutions, the common co-ions phosphate hindered As removal more than the any other ions. The absorptive ability of adsorbent was compared with those of different adsorbents and found to be considerably efficient.
{"title":"Removal of As(III) and As(V) from water using reduced GO-Fe0 filled PANI composite","authors":"Shreemoyee Bordoloi, R. Chetia, Geetika Borah, S. Konwer","doi":"10.1080/23249676.2021.1948361","DOIUrl":"https://doi.org/10.1080/23249676.2021.1948361","url":null,"abstract":"A novel ternary adsorbent was prepared by reductive deposition of zerovalent iron on reduced graphene oxide through in-situ polymerization of aniline. SEM/EDS study showed an irregular, porous, and heterogeneous surface morphology with iron available for As binding. Batch adsorption experiments were conducted to determine the optimum conditions for As adsorption with optimum adsorbent dose, initial concentration of As, pH etc. Under optimized conditions, the maximum removal percentage of As was 99.6% for As(III) and 89% for As(V). The adsorption of arsenic on the composite was fitted well to the pseudo-second-order kinetic model and obeyed both Langmuir [R 2 = 0.955 for As(III) and 0.992 for As(V)] and Freundlich [R 2 = 0.975 for As(III) and 0.993 for As(V)] models. In aqueous solutions, the common co-ions phosphate hindered As removal more than the any other ions. The absorptive ability of adsorbent was compared with those of different adsorbents and found to be considerably efficient.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"10 1","pages":"117 - 128"},"PeriodicalIF":1.2,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2021.1948361","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44528161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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