Machine learning (ML) is increasingly used in environmental research to process large data
sets and decipher complex relationships between system variables. However, due to the …

Soil erosion is generally recognized as the dominant process of land degradation. The
formation and expansion of gullies is often a highly significant process of soil erosion …

Freshwater shortages have become much more common globally in recent years. Water
resources that are naturally available beneath the surface are capable of reversing this …

Water quality improvement is one of the top priorities in the global agenda endorsed by
United Nation. In this review manuscript, a holistic view of water quality degradation such as …

Landslides are abundant in mountainous regions. They are responsible for substantial
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …

The global pandemic has an inherently urban character. The UN-Habitat's publication of a
Response Plan for mollification of the SARS-CoV-2 based externalities in the cities of the …

Landslide is considered as one of the most severe threats to human life and property in the
hilly areas of the world. The number of landslides and the level of damage across the globe …

Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …

This study aims to evaluate a new approach in modeling gully erosion susceptibility (GES)
based on a deep learning neural network (DLNN) model and an ensemble particle swarm …

The deficiency of freshwater has become a global issue in the recent era, especially in water-
scarce hard rock region including India. Groundwater (GW) as a natural resource is …