AIMC Topic: Wetlands

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Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest.

The Science of the total environment Aug 23, 2024
The world's largest mangrove forest (Sundarbans) is facing an imminent threat from heavy metal pollution, posing grave ecological and human health risks. Developing an accurate predictive model for heavy metal content in this area has been challengin...
Machine Learning Environmental Monitoring Metals, Heavy Geologic Sediments Water Pollutants, Chemical Wetlands
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Machine learning prediction on wetland succession and the impact of artificial structures from a decade of field data.

The Science of the total environment May 24, 2024
The artificial structures can influence wetland topology and sediment properties, thereby shaping plant distribution and composition. Macrobenthos composition was correlated with plant cover. Previous studies on the impact of artificial structures on...
Environmental Monitoring Brachyura Animals China Plants Wetlands Machine Learning Soil
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Evaluating the efficacy of vermicomposted products in rain-fed wetland rice and predicting potential hazards from metal-contaminated tannery sludge using novel machine learning tactic.

Chemosphere May 6, 2024
The study assessed the ecotoxicity and bioavailability of potential metals (PMs) from tannery waste sludge, alongside addressing the environmental concerns of overuse of chemical fertilizers, by comparing the impacts of organic vermicomposted tannery...
Machine Learning Soil Sewage Wetlands Composting Tanning Metals, Heavy Fertilizers Animals Metals Soil Pollutants Oryza
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Tree-structured parzen estimator optimized-automated machine learning assisted by meta-analysis for predicting biochar-driven NO mitigation effect in constructed wetlands.

Journal of environmental management Feb 17, 2024
Biochar is a carbon-neutral tool for combating climate change. Artificial intelligence applications to estimate the biochar mitigation effect on greenhouse gases (GHGs) can assist scientists in making more informed solutions. However, there is also e...
Wetlands Nitrous Oxide Charcoal Nitrogen Machine Learning Soil Artificial Intelligence
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Machine learning predicts which rivers, streams, and wetlands the Clean Water Act regulates.

Science (New York, N.Y.) Jan 25, 2024
We assess which waters the Clean Water Act protects and how Supreme Court and White House rules change this regulation. We train a deep learning model using aerial imagery and geophysical data to predict 150,000 jurisdictional determinations from the...
Drinking Water Conservation of Natural Resources Wetlands Water Quality Rivers Machine Learning Water Pollution
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Wetland Ecotourism Development Using Deep Learning and Grey Clustering Algorithm from the Perspective of Sustainable Development.

Journal of environmental and public health Aug 4, 2022
The purpose is to promote the sustainable development of wetland ecotourism in China and plan the passenger flow in different tourism periods. This work selects Zhangye Heihe wetland ecotourism spot as the research object. Firstly, the two single wet...
Algorithms Deep Learning Wetlands Cluster Analysis Sustainable Development
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Extracting Wetland Type Information with a Deep Convolutional Neural Network.

Computational intelligence and neuroscience May 18, 2022
Wetlands have important ecological value. The application of wetland remote sensing is essential for the timely and accurate analysis of the current situation in wetlands and dynamic changes in wetland resources, but high-resolution remote sensing im...
Remote Sensing Technology Wetlands Neural Networks, Computer
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A new deep learning approach based on bilateral semantic segmentation models for sustainable estuarine wetland ecosystem management.

The Science of the total environment May 10, 2022
Nowadays, estuarial areas have been strongly affected by the construction of electrical power dams from upstream, downstream urbanization and many types of hazards along the coastal regions. It has resulted in significant changes in estuarine wetland...
Semantics Conservation of Natural Resources Wetlands Estuaries Ecosystem Deep Learning
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Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset.

Environmental science and pollution research international Nov 8, 2021
Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because they produce temporal and geogr...
Support Vector Machine Neural Networks, Computer Wetlands Machine Learning Deep Learning Water
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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 Machine Learning Wetlands Algorithms
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