Pub Date : 2021-01-02DOI: 10.1080/23249676.2021.1884616
Oussama Laassilia, D. Ouazar, A. Bouziane, M. Hasnaoui
This paper aims to estimate the unusable water in the Sebou basin (Morocco) with a view to transferring them to the Bouregreg basin. To this end, a hydrological model of Belksiri Basin (7744 km2, downstream part of Sebou) was elaborated. Then, several simulations were carried out to estimate the flow resulting from rainfall, with different return periods, in the Belksiri catchment. The model validation showed good results (NSE = 0.70, R 2 = 0.78). As for simulations of flow provoked by different return periods of the rainfall depth, the results showed that the peak flow increases from 916 m3/s for the return period T = 2–6744 m3/s for T = 100. This study clearly showed the possibility of the flow and route optimization related to the North to South Water Transfer Project (NSWTP) in Morocco. Indeed, the transfer flow can be increased from some 45 m3/s to 200 m3/s.
{"title":"Estimation of excess water in the Sebou basin for an interbasin water transfer","authors":"Oussama Laassilia, D. Ouazar, A. Bouziane, M. Hasnaoui","doi":"10.1080/23249676.2021.1884616","DOIUrl":"https://doi.org/10.1080/23249676.2021.1884616","url":null,"abstract":"This paper aims to estimate the unusable water in the Sebou basin (Morocco) with a view to transferring them to the Bouregreg basin. To this end, a hydrological model of Belksiri Basin (7744 km2, downstream part of Sebou) was elaborated. Then, several simulations were carried out to estimate the flow resulting from rainfall, with different return periods, in the Belksiri catchment. The model validation showed good results (NSE = 0.70, R 2 = 0.78). As for simulations of flow provoked by different return periods of the rainfall depth, the results showed that the peak flow increases from 916 m3/s for the return period T = 2–6744 m3/s for T = 100. This study clearly showed the possibility of the flow and route optimization related to the North to South Water Transfer Project (NSWTP) in Morocco. Indeed, the transfer flow can be increased from some 45 m3/s to 200 m3/s.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"9 1","pages":"69 - 87"},"PeriodicalIF":1.2,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2021.1884616","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48149761","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 : 2020-12-07DOI: 10.1080/23249676.2020.1844602
P. Chakraborty, A. Sarkar
The present study investigates turbulent flow over a periodic small amplitude bed form with rigid submerged vegetation. The equations governing the flow are formulated using Biot’s poro-elasticity theory. Further, the Reynolds stress is modeled employing a linear term of the velocity gradient. Governing equations for vegetated and non-vegetated layers are non-dimensionalized and a perturbation parameter is identified. The leading order equation is solved employing power series method and first order equation is solved semi-analytically. The velocity components in the flow and transverse directions and the vertical shear stress distribution are evaluated. The velocity measurements are also carried out within the array over the perturbed bed using acoustic Doppler velocimeter. The experimental results are utilized to develop a correlation for the unknown coefficient present in the shear stress model, which is adopted for modelling the Reynolds stress.
{"title":"Turbulent flow through a random rigid submerged vegetation over a sinusoidal bed","authors":"P. Chakraborty, A. Sarkar","doi":"10.1080/23249676.2020.1844602","DOIUrl":"https://doi.org/10.1080/23249676.2020.1844602","url":null,"abstract":"The present study investigates turbulent flow over a periodic small amplitude bed form with rigid submerged vegetation. The equations governing the flow are formulated using Biot’s poro-elasticity theory. Further, the Reynolds stress is modeled employing a linear term of the velocity gradient. Governing equations for vegetated and non-vegetated layers are non-dimensionalized and a perturbation parameter is identified. The leading order equation is solved employing power series method and first order equation is solved semi-analytically. The velocity components in the flow and transverse directions and the vertical shear stress distribution are evaluated. The velocity measurements are also carried out within the array over the perturbed bed using acoustic Doppler velocimeter. The experimental results are utilized to develop a correlation for the unknown coefficient present in the shear stress model, which is adopted for modelling the Reynolds stress.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"9 1","pages":"147 - 160"},"PeriodicalIF":1.2,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1844602","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45640985","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 : 2020-11-19DOI: 10.1080/23249676.2020.1844604
Rimpa Jaiswal, A. K. Lohani, R. Galkate
Multi-criteria decision support (MCDS) was developed and demonstrated for a complex reservoir system for a comprehensive assessment of performance for a complex reservoir system. A management model for the Tandula complex system in India was developed in MIKE HYDRO Basin. This system has three interconnected reservoirs, three irrigation commands, and one industrial user. The results from simulations were analyzed in multi-criteria decision support using an economic and six performance indicators to get a comprehensive performance index for the system. The results of the analysis confirmed that the yearly deficit of the Tandula command maybe about 6.36 MCM with 88% reliability under the present efficiency of 51% and no groundwater use (SCN-1). The comprehensive performance index for scenario SCN-1 was 0.13 which can be increased to 0.86 by increasing efficiencies and consumptive use. Abbreviations: AHP: Analytical hierarchical process; ANN: Artificial Neural Network; BSP: Bhilai Steel Plant; CEA: Cost effectiveness analysis; DAPP: Dynamic adaptive policy pathways; DS: Decision scaling; GW: Groundwater; Ha: Hectare; MORDM: Many objective robust decision making; MOVA: Many-objective visual analytics; MCDA: Multi Criteria Decision Analysis; MCM: Million cubic meter; MCDA: Multi-criteria decision analysis; NB-DSS: Nile Basin Decision Support System; ROA: Real options analysis; RRV: Reliability, resilience, vulnerability; RDM: Robust decision making; WEAP: Water Evaluation and Planning; SCN: Scenario; VIDEO Visually interactive decision-making and design using evolutionary multi-objective optimization
{"title":"Decision support for scenario analysis in a complex water resource project","authors":"Rimpa Jaiswal, A. K. Lohani, R. Galkate","doi":"10.1080/23249676.2020.1844604","DOIUrl":"https://doi.org/10.1080/23249676.2020.1844604","url":null,"abstract":"Multi-criteria decision support (MCDS) was developed and demonstrated for a complex reservoir system for a comprehensive assessment of performance for a complex reservoir system. A management model for the Tandula complex system in India was developed in MIKE HYDRO Basin. This system has three interconnected reservoirs, three irrigation commands, and one industrial user. The results from simulations were analyzed in multi-criteria decision support using an economic and six performance indicators to get a comprehensive performance index for the system. The results of the analysis confirmed that the yearly deficit of the Tandula command maybe about 6.36 MCM with 88% reliability under the present efficiency of 51% and no groundwater use (SCN-1). The comprehensive performance index for scenario SCN-1 was 0.13 which can be increased to 0.86 by increasing efficiencies and consumptive use. Abbreviations: AHP: Analytical hierarchical process; ANN: Artificial Neural Network; BSP: Bhilai Steel Plant; CEA: Cost effectiveness analysis; DAPP: Dynamic adaptive policy pathways; DS: Decision scaling; GW: Groundwater; Ha: Hectare; MORDM: Many objective robust decision making; MOVA: Many-objective visual analytics; MCDA: Multi Criteria Decision Analysis; MCM: Million cubic meter; MCDA: Multi-criteria decision analysis; NB-DSS: Nile Basin Decision Support System; ROA: Real options analysis; RRV: Reliability, resilience, vulnerability; RDM: Robust decision making; WEAP: Water Evaluation and Planning; SCN: Scenario; VIDEO Visually interactive decision-making and design using evolutionary multi-objective optimization","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"9 1","pages":"52 - 68"},"PeriodicalIF":1.2,"publicationDate":"2020-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1844604","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42668174","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 : 2020-11-03DOI: 10.1080/23249676.2020.1831977
M. Hasan, S. Karmaker, M. R. Rahman
Erosion and shoreline changes are found at a higher rate in the southwestern coastal area due to its dynamic characteristics. The present study aims to evaluate the geomorphological changes through observations of satellite imagery in Mongla, Bagerhat. Study conducted from the years of 2000–2018 using the Normalized Difference Water Index (NDWI) and image classification method in ArcGIS software. According to the analysis of multispectral satellite imagery, it is revealed that about 22.57 km2 land area eroded consecutively over the last 18 years as well as the areal difference of land and water measured. Changes of shorelines figure out that in some vulnerable cross-sections about 366 m area is displacement. Though, this area located in the tidal zone but ocean connected areas of Sunderbans and lower regions of the populated area faced mostly the effect of geomorphological changes.
{"title":"Geomorphological change assessment of south western coastal region: a case study of Mongla Upazila, Bagerhat, Bangladesh","authors":"M. Hasan, S. Karmaker, M. R. Rahman","doi":"10.1080/23249676.2020.1831977","DOIUrl":"https://doi.org/10.1080/23249676.2020.1831977","url":null,"abstract":"Erosion and shoreline changes are found at a higher rate in the southwestern coastal area due to its dynamic characteristics. The present study aims to evaluate the geomorphological changes through observations of satellite imagery in Mongla, Bagerhat. Study conducted from the years of 2000–2018 using the Normalized Difference Water Index (NDWI) and image classification method in ArcGIS software. According to the analysis of multispectral satellite imagery, it is revealed that about 22.57 km2 land area eroded consecutively over the last 18 years as well as the areal difference of land and water measured. Changes of shorelines figure out that in some vulnerable cross-sections about 366 m area is displacement. Though, this area located in the tidal zone but ocean connected areas of Sunderbans and lower regions of the populated area faced mostly the effect of geomorphological changes.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"9 1","pages":"45 - 51"},"PeriodicalIF":1.2,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1831977","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42976621","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 : 2020-10-21DOI: 10.1080/23249676.2020.1831978
N. A. Mohd Zahri, S. N. A. Md. Jamil, L. Abdullah, Sim Jia Huey, Mohsen Nourouzi Mobarekeh, Nur Salimah Mohd Rapeia, Thomas Choong Shean Yaw
The industrial effluents of heavy metal become a great concern because of their toxicity. The better design of experimental (DOE) should be applied for an efficient treatment process. The statistical DOE of central composite design (CCD) can be used for the optimization process of heavy metal removal. The cadmium ions (Cd2+) and lead ions (Pb2+) were removed using amidoxime modified poly(acrylonitrile-co-acrylic acid) (poly(AN-co-AA)). The CCD response result (Cd2+ and Pb2+ removal) was obtained by considering independent variables of pH (A), adsorbent dosage (B), and initial concentration (C). The experimental removal of Cd2+ and Pb2+ at optimum conditions was 98.90% and 99.99%, respectively. The regression analysis illustrated the optimum conditions were 10 mg.L−1 Cd2+ concentration with 4.66 g.L−1 adsorbent at pH 9.31, and 20 mg.L−1 Pb2+ concentration with 8.27 g.L−1 adsorbent at pH 9.08. Both of the metal ions yielded insignificant lack of fit of the analysis of variance (ANOVA).
{"title":"Central composite design of heavy metal removal using polymer adsorbent","authors":"N. A. Mohd Zahri, S. N. A. Md. Jamil, L. Abdullah, Sim Jia Huey, Mohsen Nourouzi Mobarekeh, Nur Salimah Mohd Rapeia, Thomas Choong Shean Yaw","doi":"10.1080/23249676.2020.1831978","DOIUrl":"https://doi.org/10.1080/23249676.2020.1831978","url":null,"abstract":"The industrial effluents of heavy metal become a great concern because of their toxicity. The better design of experimental (DOE) should be applied for an efficient treatment process. The statistical DOE of central composite design (CCD) can be used for the optimization process of heavy metal removal. The cadmium ions (Cd2+) and lead ions (Pb2+) were removed using amidoxime modified poly(acrylonitrile-co-acrylic acid) (poly(AN-co-AA)). The CCD response result (Cd2+ and Pb2+ removal) was obtained by considering independent variables of pH (A), adsorbent dosage (B), and initial concentration (C). The experimental removal of Cd2+ and Pb2+ at optimum conditions was 98.90% and 99.99%, respectively. The regression analysis illustrated the optimum conditions were 10 mg.L−1 Cd2+ concentration with 4.66 g.L−1 adsorbent at pH 9.31, and 20 mg.L−1 Pb2+ concentration with 8.27 g.L−1 adsorbent at pH 9.08. Both of the metal ions yielded insignificant lack of fit of the analysis of variance (ANOVA).","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"9 1","pages":"133 - 146"},"PeriodicalIF":1.2,"publicationDate":"2020-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1831978","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44647003","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 : 2020-10-18DOI: 10.1080/23249676.2020.1831974
Salima Charifi Bellabas, S. Benmamar, A. Dehni
This research analyses the variability of hydrometeorology data in the Sebaou watershed, (Northern Algeria) and examines the impacts of Climate Change (CC) and Human Activities (HA) on the streamflow decrease, using the climate elasticity model and hydrologic modelling. The results of tests, used to identify the trends and breakpoints in the data series, show significant downward trends and breakpoints, through the 1980s in streamflow. At the Sebaou outlet, the decrease of runoff, after 1985 is assessed; 34.8%, 35.8%, 28.5%, 41.6% and 40.1% in year, autumn, winter, spring and summer, respectively. The results obtained, by climate elasticity model, reveal that a 10% change in rainfall ensues in around 16–25% variation in streamflow. Besides the factors (CC and HA) have an effect of 58% and 42% respectively, on the reduction of streamflow in the Sebaou. The land use maps analysis approve those of the elasticity method and the GR2M model.
{"title":"Study and analysis of the streamflow decline in North Algeria","authors":"Salima Charifi Bellabas, S. Benmamar, A. Dehni","doi":"10.1080/23249676.2020.1831974","DOIUrl":"https://doi.org/10.1080/23249676.2020.1831974","url":null,"abstract":"This research analyses the variability of hydrometeorology data in the Sebaou watershed, (Northern Algeria) and examines the impacts of Climate Change (CC) and Human Activities (HA) on the streamflow decrease, using the climate elasticity model and hydrologic modelling. The results of tests, used to identify the trends and breakpoints in the data series, show significant downward trends and breakpoints, through the 1980s in streamflow. At the Sebaou outlet, the decrease of runoff, after 1985 is assessed; 34.8%, 35.8%, 28.5%, 41.6% and 40.1% in year, autumn, winter, spring and summer, respectively. The results obtained, by climate elasticity model, reveal that a 10% change in rainfall ensues in around 16–25% variation in streamflow. Besides the factors (CC and HA) have an effect of 58% and 42% respectively, on the reduction of streamflow in the Sebaou. The land use maps analysis approve those of the elasticity method and the GR2M model.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"9 1","pages":"20 - 44"},"PeriodicalIF":1.2,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1831974","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44163527","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 : 2020-10-01DOI: 10.1080/23249676.2020.1831975
Orhan Gokyay
Development of an MS Excel Visual Basic for Applications (VBA) program for water distribution network (WDN) design is presented in this paper. The tool solves a given closed-loop WDN by Hardy-Cross algorithm. Both VBA programming and MS Excel’s data validation modules are employed to provide easy-to-use environment for engineers and also in the education of engineers, and moreover, software solutions in the market are expensive and hard to obtain. A step by step solution to a part of Uskudar which is a county of Istanbul network is also provided. The color-coded instructions for the correction of the network system will be helping for the users. The tool is open source and can be used for the design of WDNs by engineers and students.
介绍了用MS Excel Visual Basic for Applications (VBA)开发的配水网络设计程序。该工具采用Hardy-Cross算法求解给定的闭环WDN。采用VBA编程和MS Excel的数据验证模块，为工程师提供了易于使用的环境，也用于工程师的教育，而且市场上的软件解决方案价格昂贵，难以获得。还提供了逐步解决乌斯库达尔部分地区的办法，这是伊斯坦布尔网络的一个县。颜色编码的说明更正网络系统将有助于用户。该工具是开源的，工程师和学生可以使用它来设计wdn。
{"title":"An easy MS Excel software to use for water distribution system design: A real case distribution network design solution","authors":"Orhan Gokyay","doi":"10.1080/23249676.2020.1831975","DOIUrl":"https://doi.org/10.1080/23249676.2020.1831975","url":null,"abstract":"Development of an MS Excel Visual Basic for Applications (VBA) program for water distribution network (WDN) design is presented in this paper. The tool solves a given closed-loop WDN by Hardy-Cross algorithm. Both VBA programming and MS Excel’s data validation modules are employed to provide easy-to-use environment for engineers and also in the education of engineers, and moreover, software solutions in the market are expensive and hard to obtain. A step by step solution to a part of Uskudar which is a county of Istanbul network is also provided. The color-coded instructions for the correction of the network system will be helping for the users. The tool is open source and can be used for the design of WDNs by engineers and students.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"8 1","pages":"290 - 297"},"PeriodicalIF":1.2,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1831975","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41834943","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 : 2020-10-01DOI: 10.1080/23249676.2020.1831973
M. Politano, R. Laughery
Elevated water temperature has deleterious effects on cold-water fish. Lower Granite (LWG) is a run-of-the river dam in the Pacific Northwest, USA. LWG impounds a reservoir, with capacity of 5.7×108 m3, that often become stratified. This paper presents a numerical model to assess LWG selective withdrawal operations to minimize thermal effects on fish. The model accounts for buoyancy forces, which are dominant at low river flowrates. The thermal model was validated against forebay temperature profiles and tailrace temperature on 3 July 2015. Twenty-six simulations were performed under different dam operations, stratification intensities and river flowrates. Numerical results indicate that the thermal stratification has a strong effect on the withdrawal region. Under stratified conditions, a high velocity layer at the intake elevation impacts the hydrodynamics and thermal capacity of the reservoir. According to the simulations, flow uniformly distributed across odd numbered powerhouse units is the best configuration to reduce downstream temperature.
{"title":"A CFD model to assess lower Granite Dam operations under stratified conditions","authors":"M. Politano, R. Laughery","doi":"10.1080/23249676.2020.1831973","DOIUrl":"https://doi.org/10.1080/23249676.2020.1831973","url":null,"abstract":"Elevated water temperature has deleterious effects on cold-water fish. Lower Granite (LWG) is a run-of-the river dam in the Pacific Northwest, USA. LWG impounds a reservoir, with capacity of 5.7×108 m3, that often become stratified. This paper presents a numerical model to assess LWG selective withdrawal operations to minimize thermal effects on fish. The model accounts for buoyancy forces, which are dominant at low river flowrates. The thermal model was validated against forebay temperature profiles and tailrace temperature on 3 July 2015. Twenty-six simulations were performed under different dam operations, stratification intensities and river flowrates. Numerical results indicate that the thermal stratification has a strong effect on the withdrawal region. Under stratified conditions, a high velocity layer at the intake elevation impacts the hydrodynamics and thermal capacity of the reservoir. According to the simulations, flow uniformly distributed across odd numbered powerhouse units is the best configuration to reduce downstream temperature.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"8 1","pages":"298 - 312"},"PeriodicalIF":1.2,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1831973","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43544286","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 : 2020-10-01DOI: 10.1080/23249676.2020.1799442
Tirthankar Roy, J. Valdes, A. Serrat-Capdevila, M. Durcik, E. Demaria, R. Valdés-Pineda, H. Gupta
We present a detailed overview of the Multi-model Multi-product Streamflow Forecasting (MMSF) Platform, which has been developed recently at the University of Arizona under the NASA SERVIR Program, to ease its operational implementation. The platform is based on the use of multiple hydrologic models, satellite-based precipitation products, advanced bias correction schemes, model calibration, and probabilistic model averaging, with the goal of improving forecast accuracy and better-characterizing forecast uncertainties, especially in poorly gauged basins. This paper includes a brief description of the platform, followed by all the relevant information a user would need to implement the platform on any new river basin.
{"title":"Detailed overview of the multimodel multiproduct streamflow forecasting platform","authors":"Tirthankar Roy, J. Valdes, A. Serrat-Capdevila, M. Durcik, E. Demaria, R. Valdés-Pineda, H. Gupta","doi":"10.1080/23249676.2020.1799442","DOIUrl":"https://doi.org/10.1080/23249676.2020.1799442","url":null,"abstract":"We present a detailed overview of the Multi-model Multi-product Streamflow Forecasting (MMSF) Platform, which has been developed recently at the University of Arizona under the NASA SERVIR Program, to ease its operational implementation. The platform is based on the use of multiple hydrologic models, satellite-based precipitation products, advanced bias correction schemes, model calibration, and probabilistic model averaging, with the goal of improving forecast accuracy and better-characterizing forecast uncertainties, especially in poorly gauged basins. This paper includes a brief description of the platform, followed by all the relevant information a user would need to implement the platform on any new river basin.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"8 1","pages":"277 - 289"},"PeriodicalIF":1.2,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1799442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47655532","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 : 2020-10-01DOI: 10.1080/23249676.2020.1831976
H. Loc, Quang Hung Do, A. A. Cokro, K. Irvine
The abilities of Long short-term memory (LSTM), Gated recurrent units (GRU), Adaptive-network-based fuzzy inference system (ANFIS), Artificial neural networks (ANN), and Group method of data handling (GMDH) in predicting water quality time series associated with a cleansing biotope were evaluated. We examined continuous monitoring time series of chlorophyll-a, turbidity, and specific conductivity using YSI EXO datasondes at the Inlet and Outlet. Based on Root Mean Square Errors, Mean Absolute Percentage Errors, Mean Absolute Errors, Correlation Coefficients, and Theil’s U, the GRU generally was the most efficient model in predicting the Outlet water quality. AI models should find increasing implementation the area of ‘smart environment’. Ways forward for enhancing AI model performance were suggested to better consider data periodicity and explore a transfer function approach in which the water quality timeseries of one parameter is forecast based on an ensemble of other parameters.
{"title":"Deep neural network analyses of water quality time series associated with water sensitive urban design (WSUD) features","authors":"H. Loc, Quang Hung Do, A. A. Cokro, K. Irvine","doi":"10.1080/23249676.2020.1831976","DOIUrl":"https://doi.org/10.1080/23249676.2020.1831976","url":null,"abstract":"The abilities of Long short-term memory (LSTM), Gated recurrent units (GRU), Adaptive-network-based fuzzy inference system (ANFIS), Artificial neural networks (ANN), and Group method of data handling (GMDH) in predicting water quality time series associated with a cleansing biotope were evaluated. We examined continuous monitoring time series of chlorophyll-a, turbidity, and specific conductivity using YSI EXO datasondes at the Inlet and Outlet. Based on Root Mean Square Errors, Mean Absolute Percentage Errors, Mean Absolute Errors, Correlation Coefficients, and Theil’s U, the GRU generally was the most efficient model in predicting the Outlet water quality. AI models should find increasing implementation the area of ‘smart environment’. Ways forward for enhancing AI model performance were suggested to better consider data periodicity and explore a transfer function approach in which the water quality timeseries of one parameter is forecast based on an ensemble of other parameters.","PeriodicalId":51911,"journal":{"name":"Journal of Applied Water Engineering and Research","volume":"8 1","pages":"313 - 332"},"PeriodicalIF":1.2,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/23249676.2020.1831976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44794099","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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