AIMC Journal:
Journal of environmental management

Showing 321 to 330 of 344 articles

Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique.

Journal of environmental management Jun 28, 2018
In the present study three different types of neural models: multi-layer perceptron (MLP), generalized regression neural network (GRNN) and radial basis function (RBF) has been used to predict the exergetic efficiency of roughened solar air heater. T...
India Models, Theoretical Algorithms Temperature Neural Networks, Computer
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Optimization and modeling of methyl orange adsorption onto polyaniline nano-adsorbent through response surface methodology and differential evolution embedded neural network.

Journal of environmental management Jun 27, 2018
Presence of pigments and dyes in water bodies are growing tremendously and pose as toxic materials and have severe health effects on human and aquatic creatures. Treatments methods for removal of these toxic dyes along with other pollutants are growi...
Adsorption Neural Networks, Computer Aniline Compounds Water Purification Azo Compounds
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An Information System for Brownfield Regeneration: providing customised information according to stakeholders' characteristics and needs.

Journal of environmental management Apr 5, 2018
In the EU brownfield presence is still considered a widespread problem. Even though, in the last decades, many research projects and initiatives developed a wealth of methods, guidelines, tools and technologies aimed at supporting brownfield regenera...
Environmental Restoration and Remediation Germany Czech Republic Neural Networks, Computer Poland Information Systems Romania
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Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping.

Journal of environmental management Apr 5, 2018
In this research, eight individual machine learning and statistical models are implemented and compared, and based on their results, seven ensemble models for flood susceptibility assessment are introduced. The individual models included artificial n...
ROC Curve Models, Statistical Floods Machine Learning Iran Forecasting
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Developing robust arsenic awareness prediction models using machine learning algorithms.

Journal of environmental management Feb 4, 2018
Arsenic awareness plays a vital role in ensuring the sustainability of arsenic mitigation technologies. Thus far, however, few studies have dealt with the sustainability of such technologies and its associated socioeconomic dimensions. As a result, a...
Arsenic Environmental Pollutants Support Vector Machine Bayes Theorem Humans Machine Learning Algorithms India
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Adsorptive removal of arsenic by novel iron/olivine composite: Insights into preparation and adsorption process by response surface methodology and artificial neural network.

Journal of environmental management Jan 4, 2018
Olivine, a low-cost natural material, impregnated with iron is introduced in the adsorptive removal of arsenic. A wet impregnation method and subsequent calcination were employed for the preparation of iron/olivine composite. The major preparation pr...
Iron Compounds Magnesium Compounds Hydrogen-Ion Concentration Silicates Water Pollutants, Chemical Neural Networks, Computer Arsenic Adsorption Iron Water Purification Kinetics
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Combinative treatment of phenol-rich retting-pond wastewater by a hybrid upflow anaerobic sludge blanket reactor and solar photofenton process.

Journal of environmental management Dec 7, 2017
In this study, recalcitrant rich retting-pond wastewater was treated primarily by anaerobic treatment and subsequently treated with a solar photofenton process to remove phenol and organics. The anaerobic treatment was carried out in a granulated lab...
Sewage Phenol Ponds Anaerobiosis Wastewater Bioreactors Waste Disposal, Fluid
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Modeling and optimization by particle swarm embedded neural network for adsorption of zinc (II) by palm kernel shell based activated carbon from aqueous environment.

Journal of environmental management Dec 7, 2017
Zn (II) is one the common pollutant among heavy metals found in industrial effluents. Removal of pollutant from industrial effluents can be accomplished by various techniques, out of which adsorption was found to be an efficient method. Applications ...
Neural Networks, Computer Charcoal Water Pollutants, Chemical Hydrogen-Ion Concentration Zinc Adsorption
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Integrating multisensor satellite data merging and image reconstruction in support of machine learning for better water quality management.

Journal of environmental management Jun 28, 2017
Monitoring water quality changes in lakes, reservoirs, estuaries, and coastal waters is critical in response to the needs for sustainable development. This study develops a remote sensing-based multiscale modeling system by integrating multi-sensor s...
Environmental Monitoring Water Quality Water Machine Learning Image Processing, Computer-Assisted Lakes
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A fuzzy logic-based tool to assess beef cattle ranching sustainability in complex environmental systems.

Journal of environmental management May 13, 2017
One of the most relevant issues in discussion worldwide nowadays is the concept of sustainability. However, sustainability assessment is a difficult task due to the complexity of factors involved in the natural world added to the human interference. ...
Cattle Humans Fuzzy Logic Uncertainty Software Red Meat Animals Environment
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