Effluent prediction of chemical oxygen demand from the astewater treatment plant using artificial neural network application

SI Abba, G Elkiran - Procedia computer science, 2017 - Elsevier
Chemical oxygen demand (COD) has been utilized to determine the content of organic
matter of bath water, wastewater and natural water, due to the time consuming of biological …

Treatment of residential complexes' wastewater using environmentally friendly technology

AW Alattabi, C Harris, R Alkhaddar, A Alzeyadi… - Procedia …, 2017 - Elsevier
Residential complexes discharge huge quantities of wastewater, which has a negative
impact on nearby water bodies. Moreover, the treatment of this type of wastewater requires a …

Integrated innovative biotechnology for optimization of environmental bioprocesses and a green economy

JW Dobrowolski, D Bedla, T Czech, F Gambuś… - … and applicability of …, 2017 - Springer
A systematic approach to sustainable management of natural resources incorporates
integration of innovative biotechnologies and eco-engineering. Here we review …

Transition index maps for urban growth simulation: application of artificial neural networks, weight of evidence and fuzzy multi-criteria evaluation

H Shafizadeh-Moghadam, A Tayyebi… - Environmental monitoring …, 2017 - Springer
Transition index maps (TIMs) are key products in urban growth simulation models. However,
their operationalization is still conflicting. Our aim was to compare the prediction accuracy of …

Kinetics and mass transfer studies on the biosorption of organic matter from palm oil mill effluent by aerobic granules before and after the addition of Serratia …

MA Fulazzaky, M Nuid, A Aris, K Muda - Process Safety and Environmental …, 2017 - Elsevier
Kinetic and mass transfer aspects of biosorption of oxidisable organic matter (OOM) from
wastewater are important for better understanding of the mechanisms of granules initiation …

Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process

Z Sekulić, D Antanasijević, S Stevanović… - International Journal of …, 2017 - Springer
Complexation-microfiltration process for removal of heavy metal ions such as lead, cadmium
and zinc from water had been investigated. Two soluble derivates of cellulose was selected …

[PDF][PDF] 基于区间二型模糊神经网络的出水氨氮软测量

韩红桂, 陈治远, 乔俊飞, 张会清 - 化工学报, 2017 - hgxb.cip.com.cn
针对污水处理过程出水氨氮(ammonia nitrogen, NH4-N) 难以实时检测的问题,
提出了一种基于区间二型模糊神经网络(interval type-2 fuzzy neural networks, IT2FNN) …

Artificial neural network modeling for removal of azo dye from aqueous solutions by Ti anode coated with multiwall carbon nanotubes

F Nabizadeh Chianeh, J Basiri Parsa… - Environmental …, 2017 - Wiley Online Library
In this study, a titanium based electrode, coated with multiwall carbon nanotubes
(MWCNTs/Ti) was applied as anode in a laboratory‐made electrochemical reactor. The …

Application of Dual-Response Surface Methodology and Radial Basis Function Artificial Neural Network on Surrogate Model of the Groundwater Flow Numerical …

Y Yi, W Lu, D Hong, H Liu… - Polish Journal of …, 2017 - search.ebscohost.com
The surrogate model is an effective way to connect the simulation and optimization models
in groundwater flow numerical modeling; it could overcome the limitations of embedding and …

Microbial growth kinetics and effluent characteristics of paper and pulp wastewater under aerobic digestion using SBR

RR Kumar, K Subramanian - Asian Journal of Research in …, 2017 - indianjournals.com
The present study is investigated with the treatment of paper and pulp effluent under aerobic
using Sequential batch reactor. Various effluent characteristics like, COD, BOD, Color …