Journal of Environmental Engineering and Science, 2005
Page 1. 113 El Niño southern-oscillation prediction using southern oscillation index and Niño3 as... more Page 1. 113 El Niño southern-oscillation prediction using southern oscillation index and Niño3 as onset indicators: Application of artificial neural networks Mahad S. Baawain, Mohamed H. Nour, Ahmed G. El-Din, and Mohamed Gamal El-Din ...
Ground-level ozone is a secondary pollutant that has recently gained notoriety for its detrimenta... more Ground-level ozone is a secondary pollutant that has recently gained notoriety for its detrimental effects on human and vegetation health. In this paper, a systematic approach is applied to develop artificial neural network (ANN) models for ground-level ozone (O3) prediction in Edmonton, Alberta, Canada, using ambient monitoring data for input. The intent of these models is to provide regulatory agencies with a tool for addressing data gaps in ambient monitoring information and predicting O3 events. The models are used to determine the meteorological conditions and precursors that most affect O3 concentrations. O3 time-series effects and the efficacy of the systematic approach are also assessed. The developed models showed good predictive success, with coefficient of multiple determination values ranging from 0.75 to 0.94 for forecasts up to 2 hr in advance. The inputs most important for O3 prediction were temperature and concentrations of nitric oxide, total hydrocarbons, sulfur dioxide, and nitrogen dioxide.
Complex wounds of the hand and vital structures are important to reconstruct. They should be cove... more Complex wounds of the hand and vital structures are important to reconstruct. They should be covered as soon as possible in order to maintain the function of the hand. The reversed radial forearm flap is a versatile option for hand reconstruction. Reversed radial forearm flaps were harvested in 15 cases. Doppler ultrasound was used in all cases to evaluate the vascular status of the flap. No complications were observed in this series. All skin grafts healed well. The reversed radial forearm flap is a workhorse tool for the coverage of the hand.
Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well kn... more Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well known complication of severe burn and is an important factor leading to an increase in mortality. We aimed to focus on early diagnosis of acute renal failure occurring in major burns and to determine the predictors for acute renal failure.
Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well kn... more Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well known complication of severe burn and is an important factor leading to an increase in mortality. We aimed to focus on early diagnosis of acute renal failure occurring in major burns and to determine the predictors for acute renal failure.
Complex hand trauma presents multifaceted problems for the surgeon. Soft tissue defects of the up... more Complex hand trauma presents multifaceted problems for the surgeon. Soft tissue defects of the upper extremity must be carefully assessed to determine the most appropriate method of coverage of hand. In this article, the reversed posterior interosseous flap was used for coverage of the hand. The injured areas include: dorsum of the hand (10 cases), the wrist (3 cases) and the dorsal thumb (2 cases). All flaps survived completely and none exhibited venous compromise. All donor sites were skin grafted. The reversed posterior interosseous flap is a versatile option for coverage of moderate sized defects of the hand and is specifically indicated for coverage of injuries of the wrist, dorsal hand and dorsal thumb.
Studying how and to what extent effluent TSS and COD are related to influent TSS, COD, and flow i... more Studying how and to what extent effluent TSS and COD are related to influent TSS, COD, and flow in a primary sedimentation process is the objective of this paper. The analysis is based on data collected hourly over two periods of sampling, each lasted 1 week at an Edmonton, Alberta sewage treatment plant. In order to establish a dynamic model for the system, the methodology of Box and Jenkins (Time series Analysis: Forecasting and Control, Holden-Day, Oakland, CA, 1976) was utilized. With this approach, stochastic and transfer-function components can be combined to form a dynamic model and the relative importance of these two components can be quantitatively assessed. The models were able to explain the data very well. Using the models as parts of a real-time control scheme was also discussed. r
Under steady-state conditions, a wastewater treatment plant usually has a satisfactory performanc... more Under steady-state conditions, a wastewater treatment plant usually has a satisfactory performance because these conditions are similar to design conditions. However, load variations constitute a large portion of the operating life of a treatment facility and most of the observed problems in complying with permit requirements occur during these load transients. During storm events upsets to the different physical and biological processes may take place in a wastewater treatment plant, and therefore, the ability to predict the hydraulic load to a treatment facility during such events is very beneficial for the optimization of the treatment process. Most of the hydrologic and hydraulic models describing sewage collection systems are deterministic. Such models require detailed knowledge of the system and usually rely on a large number of parameters, some of which are uncertain or difficult to determine. Presented in this paper, an artificial neural network (ANN) model that is used to make short-term predictions of wastewater inflow rate that enters the Gold Bar Wastewater Treatment Plant (GBWWTP), the largest plant in the Edmonton area (Alberta, Canada). The neural model uses rainfall data, observed in the collection system discharging to the plant, as inputs. The building process of the model was conducted in a systematic way that allowed the identification of a parsimonious model that is able to learn (and not memorize) from past data and generalize very well to unseen data that was used to validate the model. The neural network model gave excellent results. The potential of using the model as part of a real-time process control system is also discussed.
Modeling the performance of full-scale primary sedimentation tanks has been commonly done using r... more Modeling the performance of full-scale primary sedimentation tanks has been commonly done using regression-based models, which are empirical relationships derived strictly from observed daily average influent and effluent data. Another approach to model a sedimentation tank is using a hydraulic efficiency model that utilizes tracer studies to characterize the performance of model sedimentation tanks based on eddy diffusion. However, the use of hydraulic efficiency models to predict the dynamic behavior of a full-scale sedimentation tank is very difficult as the development of such models has been done using controlled studies of model tanks. In this paper, another type of model, namely artificial neural network modeling approach, is used to predict the dynamic response of a full-scale primary sedimentation tank. The neuralmodel consists of two separate networks, one uses flow and influent total suspended solids data in order to predict the effluent total suspended solids from the tank, and the other makes predictions of the effluent chemical oxygen demand using data of the flow and influent chemical oxygen demand as inputs. An extensive sampling program was conducted in order to collect a data set to be used in training and validating the networks. A systematic approach was used in the building process of the model which allowed the identification of a parsimonious neural model that is able to learn (and not memorize) from past data and generalize very well to unseen data that were used to validate the model. Theresults seem very promising. The potential of using the model as part of a real-time process control system isalso discussed.
Journal of Environmental Engineering and Science, 2002
Page 1. 275 Modelling approach for high flow rate in wastewater treatment operation Ahmed Gamal E... more Page 1. 275 Modelling approach for high flow rate in wastewater treatment operation Ahmed Gamal El-Din and Daniel W. Smith Abstract: The vast majority of models developed for wastewater treatment and receiving water systems ...
... Ashraf A. Alya*, Ahmed M. NourEl-Dina, Moshen A.-M. Gomaaa, Alan B. Brownb and Magda S. Fahmi... more ... Ashraf A. Alya*, Ahmed M. NourEl-Dina, Moshen A.-M. Gomaaa, Alan B. Brownb and Magda S. Fahmia aChemistry Department, Faculty of ... Prof Dr Ashraf A. Aly thanks the DAAD foundation for financial support to stay in Germany, Braunschweig, Institute for Organic Chemistry. ...
ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was e... more ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was e... more ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Journal of Environmental Engineering and Science, 2005
Page 1. 113 El Niño southern-oscillation prediction using southern oscillation index and Niño3 as... more Page 1. 113 El Niño southern-oscillation prediction using southern oscillation index and Niño3 as onset indicators: Application of artificial neural networks Mahad S. Baawain, Mohamed H. Nour, Ahmed G. El-Din, and Mohamed Gamal El-Din ...
Ground-level ozone is a secondary pollutant that has recently gained notoriety for its detrimenta... more Ground-level ozone is a secondary pollutant that has recently gained notoriety for its detrimental effects on human and vegetation health. In this paper, a systematic approach is applied to develop artificial neural network (ANN) models for ground-level ozone (O3) prediction in Edmonton, Alberta, Canada, using ambient monitoring data for input. The intent of these models is to provide regulatory agencies with a tool for addressing data gaps in ambient monitoring information and predicting O3 events. The models are used to determine the meteorological conditions and precursors that most affect O3 concentrations. O3 time-series effects and the efficacy of the systematic approach are also assessed. The developed models showed good predictive success, with coefficient of multiple determination values ranging from 0.75 to 0.94 for forecasts up to 2 hr in advance. The inputs most important for O3 prediction were temperature and concentrations of nitric oxide, total hydrocarbons, sulfur dioxide, and nitrogen dioxide.
Complex wounds of the hand and vital structures are important to reconstruct. They should be cove... more Complex wounds of the hand and vital structures are important to reconstruct. They should be covered as soon as possible in order to maintain the function of the hand. The reversed radial forearm flap is a versatile option for hand reconstruction. Reversed radial forearm flaps were harvested in 15 cases. Doppler ultrasound was used in all cases to evaluate the vascular status of the flap. No complications were observed in this series. All skin grafts healed well. The reversed radial forearm flap is a workhorse tool for the coverage of the hand.
Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well kn... more Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well known complication of severe burn and is an important factor leading to an increase in mortality. We aimed to focus on early diagnosis of acute renal failure occurring in major burns and to determine the predictors for acute renal failure.
Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well kn... more Aim: Thermal injury elicits several systemic consequences. Acute renal failure (ARF) is a well known complication of severe burn and is an important factor leading to an increase in mortality. We aimed to focus on early diagnosis of acute renal failure occurring in major burns and to determine the predictors for acute renal failure.
Complex hand trauma presents multifaceted problems for the surgeon. Soft tissue defects of the up... more Complex hand trauma presents multifaceted problems for the surgeon. Soft tissue defects of the upper extremity must be carefully assessed to determine the most appropriate method of coverage of hand. In this article, the reversed posterior interosseous flap was used for coverage of the hand. The injured areas include: dorsum of the hand (10 cases), the wrist (3 cases) and the dorsal thumb (2 cases). All flaps survived completely and none exhibited venous compromise. All donor sites were skin grafted. The reversed posterior interosseous flap is a versatile option for coverage of moderate sized defects of the hand and is specifically indicated for coverage of injuries of the wrist, dorsal hand and dorsal thumb.
Studying how and to what extent effluent TSS and COD are related to influent TSS, COD, and flow i... more Studying how and to what extent effluent TSS and COD are related to influent TSS, COD, and flow in a primary sedimentation process is the objective of this paper. The analysis is based on data collected hourly over two periods of sampling, each lasted 1 week at an Edmonton, Alberta sewage treatment plant. In order to establish a dynamic model for the system, the methodology of Box and Jenkins (Time series Analysis: Forecasting and Control, Holden-Day, Oakland, CA, 1976) was utilized. With this approach, stochastic and transfer-function components can be combined to form a dynamic model and the relative importance of these two components can be quantitatively assessed. The models were able to explain the data very well. Using the models as parts of a real-time control scheme was also discussed. r
Under steady-state conditions, a wastewater treatment plant usually has a satisfactory performanc... more Under steady-state conditions, a wastewater treatment plant usually has a satisfactory performance because these conditions are similar to design conditions. However, load variations constitute a large portion of the operating life of a treatment facility and most of the observed problems in complying with permit requirements occur during these load transients. During storm events upsets to the different physical and biological processes may take place in a wastewater treatment plant, and therefore, the ability to predict the hydraulic load to a treatment facility during such events is very beneficial for the optimization of the treatment process. Most of the hydrologic and hydraulic models describing sewage collection systems are deterministic. Such models require detailed knowledge of the system and usually rely on a large number of parameters, some of which are uncertain or difficult to determine. Presented in this paper, an artificial neural network (ANN) model that is used to make short-term predictions of wastewater inflow rate that enters the Gold Bar Wastewater Treatment Plant (GBWWTP), the largest plant in the Edmonton area (Alberta, Canada). The neural model uses rainfall data, observed in the collection system discharging to the plant, as inputs. The building process of the model was conducted in a systematic way that allowed the identification of a parsimonious model that is able to learn (and not memorize) from past data and generalize very well to unseen data that was used to validate the model. The neural network model gave excellent results. The potential of using the model as part of a real-time process control system is also discussed.
Modeling the performance of full-scale primary sedimentation tanks has been commonly done using r... more Modeling the performance of full-scale primary sedimentation tanks has been commonly done using regression-based models, which are empirical relationships derived strictly from observed daily average influent and effluent data. Another approach to model a sedimentation tank is using a hydraulic efficiency model that utilizes tracer studies to characterize the performance of model sedimentation tanks based on eddy diffusion. However, the use of hydraulic efficiency models to predict the dynamic behavior of a full-scale sedimentation tank is very difficult as the development of such models has been done using controlled studies of model tanks. In this paper, another type of model, namely artificial neural network modeling approach, is used to predict the dynamic response of a full-scale primary sedimentation tank. The neuralmodel consists of two separate networks, one uses flow and influent total suspended solids data in order to predict the effluent total suspended solids from the tank, and the other makes predictions of the effluent chemical oxygen demand using data of the flow and influent chemical oxygen demand as inputs. An extensive sampling program was conducted in order to collect a data set to be used in training and validating the networks. A systematic approach was used in the building process of the model which allowed the identification of a parsimonious neural model that is able to learn (and not memorize) from past data and generalize very well to unseen data that were used to validate the model. Theresults seem very promising. The potential of using the model as part of a real-time process control system isalso discussed.
Journal of Environmental Engineering and Science, 2002
Page 1. 275 Modelling approach for high flow rate in wastewater treatment operation Ahmed Gamal E... more Page 1. 275 Modelling approach for high flow rate in wastewater treatment operation Ahmed Gamal El-Din and Daniel W. Smith Abstract: The vast majority of models developed for wastewater treatment and receiving water systems ...
... Ashraf A. Alya*, Ahmed M. NourEl-Dina, Moshen A.-M. Gomaaa, Alan B. Brownb and Magda S. Fahmi... more ... Ashraf A. Alya*, Ahmed M. NourEl-Dina, Moshen A.-M. Gomaaa, Alan B. Brownb and Magda S. Fahmia aChemistry Department, Faculty of ... Prof Dr Ashraf A. Aly thanks the DAAD foundation for financial support to stay in Germany, Braunschweig, Institute for Organic Chemistry. ...
ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was e... more ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was e... more ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
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