Recent advancements in rainfall erosivity assessment in Brazil: A review

DB de Sousa Teixeira, RA Cecílio, MC Moreira… - Catena, 2022 - Elsevier
In this paper, we report the results of an in-depth review of scientific literature on the
assessment of rainfall erosivity in Brazil and published in peer-reviewed journals over the …

Soil erosion assessment by RUSLE model using remote sensing and GIS in an arid zone

P Li, A Tariq, Q Li, B Ghaffar, M Farhan… - … Journal of Digital …, 2023 - Taylor & Francis
In this research, we used the Revised Universal Soil Loss Equation (RUSLE) and
Geographical Information System (GIS) to predict the annual rate of soil loss in the District …

[HTML][HTML] Estimation of rainfall erosivity factor in Italy and Switzerland using Bayesian optimization based machine learning models

S Lee, JH Bae, J Hong, D Yang, P Panagos, P Borrelli… - Catena, 2022 - Elsevier
This study aimed to evaluate the estimation accuracy of rainfall erosivity (R-factor) in Italy
and Switzerland through five Machine learning (ML) models (Decision Tree (DT), K-Nearest …

A novel combination of Deep Neural Network and Manta Ray Foraging Optimization for flood susceptibility mapping in Quang Ngai province, Vietnam

HD Nguyen, QH Nguyen, QVV Du… - Geocarto …, 2022 - Taylor & Francis
Floods are the most dangerous natural disasters globally, occurring on a large scale, and
cause significant economic and environmental damage. Therefore, determining flood …

Analyzing the impacts of sewer type and spatial distribution of LID facilities on urban runoff and non-point source pollution using the storm water management model …

J Lee, J Kim, JM Lee, HS Jang, M Park, JH Min, EH Na - Water, 2022 - mdpi.com
The negative changes in the hydrological cycle are increasing due to climate change and
urbanization, resulting in deterioration of water quality and environmental issues. Although …

Integrated assessment of the land use change and climate change impact on baseflow by using hydrologic model

J Lee, M Park, JH Min, EH Na - Sustainability, 2023 - mdpi.com
Changes in land use and climate can affect both the surface runoff and baseflow of
streamflow. Baseflow significantly contributes to stream function in regions where climatic …

Prediction of aquatic ecosystem health indices through machine learning models using the WGAN-based data augmentation method

S Lee, J Kim, G Lee, J Hong, JH Bae, KJ Lim - Sustainability, 2021 - mdpi.com
Changes in hydrological characteristics and increases in various pollutant loadings due to
rapid climate change and urbanization have a significant impact on the deterioration of …

Estimation of total nitrogen content in topsoil based on machine and deep learning using hyperspectral imaging

MJ Kim, JE Lee, I Back, KJ Lim, C Mo - Agriculture, 2023 - mdpi.com
Excessive total nitrogen (TN) content in topsoil is a major cause of eutrophication when
nitrogen flows into water systems from soil losses. Therefore, TN content prediction is …

[HTML][HTML] Monthly to seasonal rainfall erosivity over Italy: Current assessment by empirical model and future projections by EURO-CORDEX ensemble

R Padulano, M Santini, M Mancini, M Stojiljkovic… - Catena, 2023 - Elsevier
The estimation of rainfall erosivity in the Revised Universal Soil Loss Equation (RUSLE)
requires long series of sub-hourly rainfall observations. Due to the endemic unavailability of …

Assessment of soil loss using RUSLE around Mongolian mining sites: a case study on soil erosion at the Baganuur lignite and Erdenet copper–molybdenum mines

E Sodnomdarjaa, F Lehmkuhl, D Karthe… - Environmental Earth …, 2023 - Springer
Mining constitutes an integral part of Mongolia's national economy and dominates the
country's export revenue. At the same time, a wide range of mining impacts on soil, water …