A new prediction model of CO2 diffusion coefficient in crude oil under reservoir conditions based on BP neural network

H Chen, Y Wang, M Zuo, C Zhang, N Jia, X Liu, S Yang - Energy, 2022 - Elsevier
Diffusion is the key mechanism of enhanced oil recovery (EOR) by CO 2 injection in
unconventional oil reservoirs. The accurate measurement of the diffusion coefficient in …

Uncertainty analysis of developed ANN and ANFIS models in prediction of carbon monoxide daily concentration

R Noori, G Hoshyaripour, K Ashrafi, BN Araabi - Atmospheric Environment, 2010 - Elsevier
This study aims to predict daily carbon monoxide (CO) concentration in the atmosphere of
Tehran by means of developed artificial neural network (ANN) and adaptive neuro-fuzzy …

Assessing the accuracy of multiple regressions, ANFIS, and ANN models in predicting dust storm occurrences in Sanandaj, Iran

S Kaboodvandpour, J Amanollahi, S Qhavami… - Natural Hazards, 2015 - Springer
Dust storms in the Sanandaj area in the western region of Iran, mainly during spring and
summer, have become an environmental crisis. Prediction of dust storm occurrences helps …

Extraction and optimization of oil from Moringa oleifera seed as an alternative feedstock for the production of biodiesel

AS Abdulkareem, H Uthman, AS Afolabi… - … and applications in …, 2011 - books.google.com
Energy production for industrial and domestic purpose has primarily been based upon the
combustion of fossil fuels, such as oil and coal and it has been reported that these resources …

[PDF][PDF] A model to determine atmospheric stability and its correlation with CO concentration

K Ashrafi, GA Hoshyaripour - International Journal of Civil and …, 2010 - Citeseer
Atmospheric stability plays the most important role in the transport and dispersion of air
pollutants. Different methods are used for stability determination with varying degrees of …

Modelling constraints on the emission inventory and on vertical dispersion for CO and SO2 in the Mexico City Metropolitan Area using Solar FTIR and zenith sky UV …

B De Foy, W Lei, M Zavala, R Volkamer… - Atmospheric …, 2007 - acp.copernicus.org
Emissions of air pollutants in and around urban areas lead to negative health impacts on the
population. To estimate these impacts, it is important to know the sources and transport …

Evaluating the accuracy of ANN and LR models to estimate the water quality in Zarivar International Wetland, Iran

J Amanollahi, S Kaboodvandpour, H Majidi - Natural Hazards, 2017 - Springer
One of the most important qualitative aspects of wetland ecosystem management is
preserving the natural quality of water in such environments. This would not be achievable …

Estimating daily road traffic pollution in Hong Kong using CFD modelling: Validation and application

C Boikos, G Ioannidis, N Rapkos, G Tsegas… - Building and …, 2025 - Elsevier
Road traffic is a major source of urban air pollution, exposing residents to harmful levels of
pollutants, particularly in densely populated urban centers. In this study, Computational Fluid …

Evaluation of PM10 forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China

H Zhang, Y Liu, R Shi, Q Yao - Journal of the Air & Waste …, 2013 - Taylor & Francis
Primary fine particulate matters with a diameter of less than 10 µm (PM10) are important air
emissions causing human health damage. PM10 concentration forecast is important and …

A Bayesian hierarchical model for urban air quality prediction under uncertainty

Y Liu, H Guo, G Mao, P Yang - Atmospheric Environment, 2008 - Elsevier
Urban air quality is subject to the increasing pressure of urbanization, and, consequently,
the potential impact of air quality changes must be addressed. A Bayesian hierarchical …