AIMC Journal:
Journal of environmental management

Showing 281 to 290 of 344 articles

Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects.

Journal of environmental management Feb 16, 2022
Heavy metals (HMs) such as Lead (Pb) have played a vital role in increasing the sediments of the Australian bay's ecosystem. Several meteorological parameters (i.e., minimum, maximum and average temperature (T, T and TC), rainfall (R mm) and their in...
Artificial Intelligence Algorithms Lead Australia Support Vector Machine Ecosystem
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Real-time image-based air quality estimation by deep learning neural networks.

Journal of environmental management Jan 24, 2022
Air quality profoundly impacts public health and environmental equity. Efficient and inexpensive air quality monitoring instruments could be greatly beneficial for human health and air pollution control. This study proposes an image-based deep learni...
Air Pollution Humans Neural Networks, Computer Deep Learning Reproducibility of Results Air Pollutants Cities
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A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA).

Journal of environmental management Dec 8, 2021
Bayesian Model Averaging (BMA) is used to study inherent uncertainties using the Basic DRASTIC Framework (BDF) for assessing the groundwater vulnerability in a study area related to Lake Urmia. BMA is naturally an Inclusive Multiple Modelling (IMM) s...
Environmental Monitoring Bayes Theorem Groundwater Artificial Intelligence Uncertainty
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Investigating the impact of sewer overflow on the environment: A comprehensive literature review paper.

Journal of environmental management Oct 16, 2021
Sewer networks play a pivotal role in our everyday lives by transporting the stormwater and urban sewage away from the urban areas. In this regard, Sewer Overflow (SO) has been considered as a detrimental threat to our environment and health, which r...
Sewage Groundwater Humans Wastewater Artificial Intelligence
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Towards better process management in wastewater treatment plants: Process analytics based on SHAP values for tree-based machine learning methods.

Journal of environmental management Oct 15, 2021
Understanding the mechanisms of pollutant removal in Wastewater Treatment Plants (WWTPs) is crucial for controlling effluent quality efficiently. However, the numerous treatment units, operational factors, and the underlying interactions between thes...
Water Purification Sweden Machine Learning
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Developing a new approach for design support of subsurface constructed wetland using machine learning algorithms.

Journal of environmental management Oct 7, 2021
Knowing the effluent quality of treatment systems in advance to enable the design of treatment systems that comply with environmental standards is a realistic strategy. This study aims to develop machine learning - based predictive models for designi...
Nitrogen Wetlands Algorithms Machine Learning
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The assessment of emerging data-intelligence technologies for modeling Mg and SO surface water quality.

Journal of environmental management Sep 21, 2021
The concentration of soluble salts in surface water and rivers such as sodium, sulfate, chloride, magnesium ions, etc., plays an important role in the water salinity. Therefore, accurate determination of the distribution pattern of these ions can imp...
Water Artificial Intelligence Least-Squares Analysis Rivers Humans Environmental Monitoring Magnesium Intelligence Water Quality
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Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.

Journal of environmental management Aug 17, 2021
The predicts current and future flood risk in the Kalvan watershed of northwestern Markazi Province, Iran. To do this, 512 flood and non-flood locations were identified and mapped. Twenty flood-risk factors were selected to model flood risk using sev...
Forecasting ROC Curve Machine Learning Floods Climate
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How far spatial resolution affects the ensemble machine learning based flood susceptibility prediction in data sparse region.

Journal of environmental management Jul 26, 2021
Although the effect of digital elevation model (DEM) and its spatial resolution on flood simulation modeling has been well studied, the effect of coarse and finer resolution image and DEM data on machine learning ensemble flood susceptibility predict...
ROC Curve Floods Neural Networks, Computer Algorithms Machine Learning
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Energy optimization from a binary mixture of non-edible oilseeds pyrolysis: Kinetic triplets analysis using Thermogravimetric Analyser and prediction modeling by Artificial Neural Network.

Journal of environmental management Jul 17, 2021
Pyrolysis kinetics and thermodynamic parameters of two non-edible seeds, Pongamia pinnata (PP) and Sapindus emarginatus (SE), and their blend in the ratio of 1:1 (PS) were studied using the thermogravimetric analyzer. Kinetic triplets were determined...
Kinetics Neural Networks, Computer Pyrolysis Biomass Thermogravimetry
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