AIMC Topic: Environmental Monitoring

Clear Filters Showing 1 to 10 of 1335 articles

Modeling regional mean sea level based on climate measurements using a stacked ensemble approach.

Environmental monitoring and assessment
Assessing changes in mean sea level (MSL) has become increasingly critical due to the significance of climate changes. Soft computing techniques are now widely used to reduce the time and cost associated with traditional MSL estimation methods. Histo...

A quantum-inspired attention integrated scalar long short-term memory model for accurate and stable groundwater contaminant source inversion.

Environmental monitoring and assessment
In groundwater contamination source inversion, concentration data from monitoring wells serve as the most crucial known information, directly affecting the inversion accuracy of unknown contamination source parameters. However, existing studies often...

Research on missing value prediction of measured ERT data for coal mine based on a GRNN algorithm.

PloS one
In the process of long-term monitoring of the coal seam floor of a coal mining face using electrical resistivity tomography (ERT), the data loss caused by electrode disconnection adversely affects early warning of water inrush and prevents the identi...

Air pollution macro-regions identification using machine learning and spatio-temporal analysis.

PloS one
Air pollution caused by suspended particulate matter (PM) remains one of the key environmental challenges in Poland, particularly in the context of public health and spatial planning. This study presents a spatio-temporal analysis based on data from ...

The impact of climate change on the invasiveness of Ageratum conyzoides (goat weed) in India: implications for biodiversity conservation.

Environmental monitoring and assessment
Climate change and biological invasions are major drivers of global biodiversity loss. Ageratum conyzoides L. is a highly aggressive invader, yet its ecological risks and potential range dynamics in India remain insufficiently quantified. To assess i...

Spatial-temporal distribution and variation of atmospheric NO dry deposition in the Yellow River Basin from 2015 to 2023.

Environmental monitoring and assessment
Nitrogen dioxide (NO) is a major atmospheric pollutant that threatens human health and environmental quality amid rapid urbanization and industrialization. The Yellow River Basin is a heavily populated and economically significant area that is essent...

Quantifying key drivers of atmospheric methane across Pakistan using a machine learning approach.

Environmental monitoring and assessment
Atmospheric methane (CH), a potent greenhouse gas, has shown a consistent rise since the Industrial Revolution, contributing significantly to global warming and climate change. Understanding the temporal and spatial variability of methane concentrati...

Soil geochemistry and contamination zoning in Northeastern Ghana: insights from the Bongo and Talensi districts.

Environmental geochemistry and health
Reliable geochemical baselines are largely absent for northern Ghana, limiting efforts to distinguish natural element variability from human-induced contamination. This study addresses that gap by evaluating soil geochemical compositions in the Bongo...

Integrating Google Earth Engine and machine learning for urban land use and land cover dynamics analysis.

Environmental monitoring and assessment
The accurate land use and land cover (LULC) classification in the data-scarce urbanized region of Peshawar remains challenging due to computational limitations, accuracy assessment, and traditional techniques. This study, for the first time, addresse...

Study on the source tracing method of organic pollutants in large shallow eutrophic lakes based on 3D-EEM and Transformer models: A case study of Changdang Lake in China.

Environmental monitoring and assessment
Organic pollution in the lake water bodies poses a serious threat to the stability of aquatic ecosystems and human health. Dissolved organic matter (DOM) is a key component of organic pollution. The analysis of its sources is crucial for pollution co...