Predicting the occurrence of erosive rain events and quantifying the corresponding soil loss is extremely useful in all applications where assessing phenomenon impacts is required …
Sobha watershed, located in the Puruliya district of West Bengal, India, is experiencing severe soil erosion due to specific geo-environmental settings and unscientific land …
Despite advances in artificial intelligence modeling, the lack of soil-erosion data and other watershed information still limits soil-erosion modeling. The limited number of parameters …
VQ Tran, I Prakash - Vietnam Journal of Earth Sciences, 2020 - vjs.ac.vn
Soil erosion refers to the detachment and removal of soil particles from land (topsoil), by the natural physical forces (water, glacier and wind). Soil erosion causes soil loss in the …
This study proposes an advanced data-driven method which relies on the Multivariate Adaptive Regression Splines (MARS) machine learning and Social Spider Algorithm (SSA) …
Assessment of water-induced soil erosion as a crucial part of soil conservation plans is costly and time-consuming when applied to an extensive area. In this study, we propose a …
KA Nguyen, W Chen, BS Lin, U Seeboonruang - Sustainability, 2020 - mdpi.com
This study continues a previous study with further analysis of watershed-scale erosion pin measurements. Three machine learning (ML) algorithms—Support Vector Machine (SVM) …
S Alqadhi, J Mallick, S Talukdar… - Frontiers in Ecology and …, 2023 - frontiersin.org
Soil erosion is a major problem in arid regions, including the Abha-Khamis watershed in Saudi Arabia. This research aimed to identify the soil erosional probability using various soil …
Soil is one of the main elements of natural resources. Accurate estimation of soil erosion is very important in optimum soil resources development and management. Analyzing soil …