AIMC Journal:
Journal of environmental management

Showing 181 to 190 of 344 articles

Quantifying the multiple environmental, health, and economic co-benefits from the adoption of carbon capture technology in the power sector in southern Iraq, using a recurrent neural network-based health assessment approach.

Journal of environmental management Jul 17, 2024
This study introduces a novel integrated quantitative modeling framework to assess the multiple environmental, health, and economic benefits from implementing carbon capture technology in the power sector of Basra province, Iraq. This province is str...
Air Pollution Particulate Matter Iraq Power Plants Neural Networks, Computer Carbon Humans
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Information disclosure, multifaceted collaborative governance, and carbon total factor productivity-An evaluation of the effects of the 'environmental information disclosure pilot' policy based on double machine learning.

Journal of environmental management Jul 16, 2024
As an environmental institutional arrangement related to the information factor of the diversified participation of the government, enterprises, the media and the public, the environmental information disclosure pilot policy, can and how to affect th...
Carbon Environmental Policy China Disclosure Pilot Projects Machine Learning
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Predicting bioavailability of potentially toxic elements (PTEs) in sediment using various machine learning (ML) models: A case study in Mahabad Dam and River-Iran.

Journal of environmental management Jul 15, 2024
Considering the significant impact of potentially toxic elements (PTEs) on the ecosystem and human health, this paper, investigated the contamination level of four PTEs (Zn, Cu, Mo and Pb) and their mobility in sediments of Mahabad dam and river. Cho...
Rivers Geologic Sediments Machine Learning Iran Environmental Monitoring Water Pollutants, Chemical Biological Availability
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Application of triple-branch artificial neural network system for catalytic pellets combustion.

Journal of environmental management Jul 10, 2024
On the international level, it is common to act on reducing emissions from energy systems. However, in addition to industrial emissions, low-stack emissions also make a significant contribution. A good step in reducing its environmental impact, is to...
Platinum Biofuels Air Pollutants Catalysis Greenhouse Gases Neural Networks, Computer Biomass
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Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms.

Journal of environmental management Jul 8, 2024
This study investigated the impact of climate change on flood susceptibility in six South Asian countries Afghanistan, Bangladesh, Bhutan, Bharat (India), Nepal, and Pakistan-under two distinct Shared Socioeconomic Pathway (SSP) scenarios: SSP1-2.6 a...
Algorithms Climate Change Artificial Intelligence Floods Asia, Southern
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Development of an artificial neural network (ANN) for the prediction of a pilot scale mobile wastewater treatment plant performance.

Journal of environmental management Jul 5, 2024
Productive activities such as pig farming are a fundamental part of the economy in Mexico. Unfortunately, because of this activity, large quantities of wastewater are generated that have a negative impact in the environment. This work shows an altern...
Iron Biological Oxygen Demand Analysis Mexico Oxidation-Reduction Water Purification Animals Hydrogen Peroxide Waste Disposal, Fluid Neural Networks, Computer Wastewater
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Comprehensive river water quality monitoring using convolutional neural networks and gated recurrent units: A case study along the Vaigai River.

Journal of environmental management Jul 1, 2024
Effective monitoring of river water quality is required for long-term water resource management. Convolutional Neural Networks and Gated Recurrent Unit-based water quality monitoring (CNGRU-WQM) were used in this investigation to develop a comprehens...
Water Quality Rivers Neural Networks, Computer Environmental Monitoring
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Potential prediction and coupling relationship revealing for recovery of platinum group metals from spent auto-exhaust catalysts based on machine learning.

Journal of environmental management Jun 24, 2024
As hazardous waste, the massive generation of spent auto-exhaust catalysts (SACs) puts enormous pressure on environmental management, but provides a rare opportunity for platinum group metals (PGMs) recycling. In this study, machine learning (ML) met...
Catalysis China Machine Learning Platinum Metals Recycling
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A hybrid SWAT-ANN model approach for analysis of climate change impacts on sediment yield in an Eastern Himalayan sub-watershed of Brahmaputra.

Journal of environmental management Jun 20, 2024
The current study focuses on analyzing the impacts of climate change and land use/land cover (LULC) changes on sediment yield in the Puthimari basin, an Eastern Himalayan sub-watershed of the Brahmaputra, using a hybrid SWAT-ANN model approach. The a...
Environmental Monitoring Neural Networks, Computer Climate Change Soil Geologic Sediments Models, Theoretical
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Soil data recency: The foundation for harmonizing soil data across time.

Journal of environmental management Jun 14, 2024
Sustainable soil resource management depends on reliable soil information, often derived from 'legacy soil data' or a combination of old and new soil data. However, the task of harmonizing soil data collected at different times remains a largely unex...
Soil Machine Learning Environmental Monitoring
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