AIMC Topic: Climate Change

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Projected response of algal blooms in global lakes to future climatic and land use changes: Machine learning approaches.

Water research Nov 29, 2024
The eutrophication of lakes and the subsequent algal blooms have become significant environmental issues of global concern in recent years. With ongoing global warming and intensifying human activities, water quality trends in lakes worldwide varied ...
Water Quality Climate Change Lakes Environmental Monitoring Machine Learning Eutrophication
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Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador.

International journal of biometeorology Nov 27, 2024
Accurately estimating gross primary productivity (GPP) is crucial for simulating the carbon cycle and addressing the challenges of climate change. However, estimating GPP is challenging due to the absence of direct measurements at scales larger than ...
Ecosystem Remote Sensing Technology Machine Learning Ecuador Seasons Climate Change
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Machine learning estimates on the impacts of detection times on wildfire suppression costs.

PloS one Nov 20, 2024
As climate warming exacerbates wildfire risks, prompt wildfire detection is an essential step in designing an efficient suppression strategy, monitoring wildfire behavior and, when necessary, issuing evacuation orders. In this context, there is incre...
Climate Change Canada Machine Learning Time Factors Wildfires
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A spatial machine learning approach to exploring the impacts of coal mining and ecological restoration on regional ecosystem health.

Environmental research Nov 19, 2024
Ecosystem health is an important approach to measuring urban and regional sustainability. In previous studies, the spatiotemporal changes of ecosystem health have been addressed using comprehensive assessment index system. However, the quantitative c...
Coal Mining Climate Change Conservation of Natural Resources Neural Networks, Computer Machine Learning China Cities Ecosystem Humans
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Global forecasting of carbon concentration through a deep learning spatiotemporal modeling.

Journal of environmental management Nov 15, 2024
Given the global urgency to mitigate climate change, a key action is the development of effective carbon concentration reduction policies. To this end, an influential factor is the availability of accurate predictions of carbon concentration trends. ...
Climate Change Methane Carbon Dioxide Forecasting Deep Learning Models, Theoretical Carbon Neural Networks, Computer
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Comprehensive assessment of cascading dams-induced hydrological alterations in the lancang-mekong river using machine learning technique.

Journal of environmental management Nov 11, 2024
The development of cascading hydropower dams in river basins has significantly altered natural flow regimes in recent decades. This study investigates hydrological alterations caused by cascading hydropower dams in the Lancang-Mekong River Basin (LMR...
Humans Rivers Climate Change Hydrology Machine Learning Environmental Monitoring
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Multi-temporal image analysis of wetland dynamics using machine learning algorithms.

Journal of environmental management Nov 10, 2024
Wetlands play a crucial role in enhancing groundwater quality, mitigating natural hazards, controlling erosion, and providing essential habitats for unique flora and wildlife. Despite their significance, wetlands are facing decline in various global ...
Climate Change Conservation of Natural Resources Urbanization Ecosystem Machine Learning Wetlands Environmental Monitoring Algorithms
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Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model.

PeerJ Oct 18, 2024
Grain crops are vulnerable to anthropogenic climate change and extreme temperature events. Despite this, previous studies have often neglected the impact of the spatio-temporal distribution of extreme temperature events on regional grain outputs. Thi...
Climate Change Crops, Agricultural China Deep Learning Edible Grain
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Hypoxia extreme events in a changing climate: Machine learning methods and deterministic simulations for future scenarios development in the Venice Lagoon.

Marine pollution bulletin Oct 3, 2024
Climate change pressures include the dissolved oxygen decline that in lagoon ecosystems can lead to hypoxia, i.e. low dissolved oxygen concentrations, which have consequences to ecosystem functioning including biogeochemical cycling from mild to seve...
Environmental Monitoring Oxygen Ecosystem Models, Theoretical Water Quality Climate Change Seawater Italy Seasons Machine Learning
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Beach nourishment for coastal aquifersimpacted by climate change and population growth using machine learning approaches.

Journal of environmental management Sep 26, 2024
Groundwater in coastal regions is threatened by saltwater intrusion (SWI). Beach nourishment is used in this study to manage SWI in the Biscayne aquifer, Florida, USA, using a 3D SEAWAT model nourishment considering the future sea level rise and fres...
Neural Networks, Computer Machine Learning Climate Change Population Growth Groundwater Florida Support Vector Machine
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