• Publications
  • Influence
Modeling of a sequencing batch reactor treating municipal wastewater using multi-layer perceptron and radial basis function artificial neural networks
Abstract A sequencing batch reactor was modeled using multi-layer perceptron and radial basis function artificial neural networks (MLPANN and RBFANN). Then, the effects of influent concentrationExpand
  • 42
  • 2
Evaluation and prediction of membrane fouling in a submerged membrane bioreactor with simultaneous upward and downward aeration using artificial neural network-genetic algorithm
Abstract This paper describes the effect of simultaneous upward and downward aeration on the membrane fouling and process performances of a submerged membrane bioreactor. Trans-membrane pressureExpand
  • 24
  • 2
Performance evaluation and modeling of a submerged membrane bioreactor treating combined municipal and industrial wastewater using radial basis function artificial neural networks
Treatment process models are efficient tools to assure proper operation and better control of wastewater treatment systems. The current research was an effort to evaluate performance of a submergedExpand
  • 11
  • 2
Modeling and optimization of activated sludge bulking for a real wastewater treatment plant using hybrid artificial neural networks-genetic algorithm approach
Abstract Prediction of sludge bulking is a matter of growing importance around the world. Sludge volume index (SVI) should be monitored to predict sludge bulking for a wastewater treatment plant.Expand
  • 52
  • 1
Estimation of flood environmental effects using flood zone mapping techniques in Halilrood Kerman, Iran
High flood occurrences with large environmental damages have a growing trend in Iran. Dynamic movements of water during a flood cause different environmental damages in geographical areas withExpand
  • 2
  • 1
Modeling of effluent quality parameters in a submerged membrane bioreactor with simultaneous upward and downward aeration treating municipal wastewater using hybrid models
AbstractThis research was an effort to develop hybrid multilayer perceptron and radial basis function artificial neural network–genetic algorithm (MLPANN-GA and RBFANN-GA) models to accuratelyExpand
  • 11
  • PDF
Analysis of variables affecting mixed liquor volatile suspended solids and prediction of effluent quality parameters in a real wastewater treatment plant
AbstractThis article was an effort to predict effluent quality parameters and analyze variables affecting mixed liquor volatile suspended solids (MLVSS) for Ekbatan wastewater treatment plant inExpand
  • 6
Using Stochastic Modeling Techniques to Predict the Changes of Total Suspended Solids and Sediments in Lighvan Chai Catchment Area in Iran
Environmental effects of total suspended solids (TSS) and sediments are noticeable and should be considered in various aspects. On the other hand, determination of exact governing equations to assessExpand
  • 2
Study of arsenic distribution in sediments of the southeastern Caspian sea
Geochemical studies of sediments, water bodies like rivers, estuaries and the sea bed, can be an effective step to find the source and distribution model assessment of environmental pollutants in aExpand
  • 4
Estimation of Flood Environmental Effects Using Flood Zone Mapping Techniques in Halilrood Kerman, Iran
High flood occurrences with large environmental damages have a growing trend in Iran. Dynamic movements of water during a flood cause different environmental damages in geographical areas withExpand
  • 4