AIMC Topic: Environmental Monitoring

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Machine learning-based ensemble of Global climate models and trend analysis for projecting extreme precipitation indices under future climate scenarios.

Environmental monitoring and assessment Aug 12, 2025
Monitoring changes in climatic extremes is vital, as they influence current and future climate while significantly impacting ecosystems and society. This study examines trends in extreme precipitation indices over an Indian tropical river basin, anal...
Machine Learning Forecasting Rain Climate Models Pattern Analysis, Machine Environmental Monitoring Climate Change India
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Influence of sample size and machine learning algorithms on digital soil nutrient mapping accuracy.

Environmental monitoring and assessment Aug 8, 2025
The objective of this study is to evaluate and compare the performance of different machine learning (ML) algorithms, viz., multi-layer perceptron (MLP), random forest (RF), extra trees regressor (ETR), CatBoost, and gradient boost (GB), considering ...
Phosphorus Nitrogen Nutrients Soil India Sample Size Soil Pollutants Environmental Monitoring Machine Learning Algorithms
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Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping.

Scientific reports Aug 6, 2025
This research introduces a practical and innovative approach for real-time air quality assessment and health risk prediction, focusing on urban, industrial, suburban, rural, and traffic-heavy environments. The framework integrates data from multiple ...
Environmental Monitoring Air Pollutants Air Pollution Machine Learning Risk Assessment Environmental Health Humans
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Improved early-stage crop classification using a novel fusion-based machine learning approach with Sentinel-2A and Landsat 8-9 data.

Environmental monitoring and assessment Aug 6, 2025
Crop classification during the early stages is challenging because of the striking similarity in spectral and texture features among various crops. To improve classification accuracy, this study proposes a novel fusion-based deep learning approach. T...
Machine Learning Deep Learning Environmental Monitoring Neural Networks, Computer Satellite Imagery Support Vector Machine Crops, Agricultural
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Evaluating the transferability of low-cost sensor calibration using ANFIS: a field study in Putrajaya, Malaysia.

Environmental monitoring and assessment Jul 31, 2025
This study evaluates the robustness of a previously developed calibration model for low-cost ozone sensors, based on the Adaptive Neuro-Fuzzy Inference System (ANFIS). The model was deployed at a different site without retraining. It was tested in Pu...
Air Pollution Ozone Nitrogen Dioxide Calibration Fuzzy Logic Malaysia Neural Networks, Computer Air Pollutants Environmental Monitoring
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Quantitative evaluation of hydrocarbon contamination in soil using hyperspectral data-a comparative study of machine learning models.

Environmental monitoring and assessment Jul 28, 2025
This study aims to evaluate the applicability of existing machine learning and deep learning techniques for the rapid prediction of hydrocarbon contamination in soils using hyperspectral data. Soil samples of three types, i.e., clayey, silty, and san...
Soil Pollutants Hydrocarbons Petroleum Pollution Machine Learning Gasoline Soil Neural Networks, Computer Petroleum Environmental Monitoring
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Machine Learning-Driven Dynamic Measurement of Environmental Indicators in Multiple Scenes and Multiple Disturbances.

Environmental science & technology Jul 24, 2025
Digital city water management systems require extensive data sensing for various environmental indicators, yet measurement accuracy often falls short under diverse extreme conditions. This study proposes a chemical oxygen demand (COD) measurement met...
Machine Learning Environmental Monitoring Rivers Wastewater Biological Oxygen Demand Analysis
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Advanced spatiotemporal downscaling of MODIS land surface temperature: utilizing Sentinel-1 and Sentinel-2 data with machine learning technique in Qazvin Province, Iran.

Environmental monitoring and assessment Jul 23, 2025
This study presents a spatiotemporal downscaling framework for MODIS land surface temperature (LST) using Sentinel-1 and Sentinel-2 data with machine learning techniques on the Google Earth Engine (GEE) platform. Random Forest regression was applied ...
Satellite Imagery Remote Sensing Technology Seasons Iran Temperature Environmental Monitoring Machine Learning
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Groundwater quality assessment and health risk evaluation for schoolchildren in Mujibnagar, Bangladesh: safe consumption guidelines using artificial neural network modeling.

Environmental geochemistry and health Jul 20, 2025
Groundwater is a vital source of drinking water in Bangladesh, with tubewells commonly used, particularly in schools. This study assessed the quality of tubewell water in the southwest region, focusing on iron (Fe), arsenic (As), pH, electrical condu...
Bangladesh Risk Assessment Environmental Monitoring Drinking Water Humans Child Arsenic Water Pollutants, Chemical Neural Networks, Computer Water Quality Groundwater Iron
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Unlocking urban soil secrets: machine learning and spectrometry in Berlin's heavy metal pollution study considering spatial data.

Environmental monitoring and assessment Jul 19, 2025
Berlin has historically been impacted by heavy metal (HM) emissions, raising concerns about soil pollution. In this study, machine learning (ML) techniques were applied to predict HM concentrations across the Berlin metropolitan area. A dataset of 66...
Machine Learning Metals, Heavy Soil Pollutants Soil Berlin Environmental Pollution Environmental Monitoring
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