Extreme rainfall erosivity: Research advances and future perspectives

Y Zhao, D Zhu, Z Wu, Z Cao - Science of the Total Environment, 2024 - Elsevier
Extreme rainfall erosivity, the capacity of intense rainfall to induce soil erosion, is vital for
anticipating future impacts on soil conservation. Despite extensive research, significant …

Flood susceptibility modeling and hazard perception in Rwanda

R Mind'je, L Li, AC Amanambu, L Nahayo… - International journal of …, 2019 - Elsevier
Flooding is a deleterious phenomenon that induces detrimental impacts on humans,
properties and environment. As a result, the knowledge of susceptible places and hazard …

CMIP5 climate projections and RUSLE-based soil erosion assessment in the central part of Iran

F Hateffard, S Mohammed, K Alsafadi, GO Enaruvbe… - Scientific reports, 2021 - nature.com
Soil erosion (SE) and climate change are closely related to environmental challenges that
influence human wellbeing. However, the potential impacts of both processes in semi-arid …

[HTML][HTML] National scale assessment of the soil erosion and conservation function of terraces in China

X Liu, L Xin, Y Lu - Ecological Indicators, 2021 - Elsevier
Terraces are not only productive but also have outstanding ecological functions, becoming
an important soil and water conservation measure worldwide. Although there are many …

Mapping soil erosion–prone sites through GIS and remote sensing for the Tifnout Askaoun watershed, southern Morocco

A Tairi, A Elmouden, L Bouchaou… - Arabian Journal of …, 2021 - Springer
Abstract The Moroccan High Atlas is very sensitive to soil erosion due to its steep slopes,
torrential rains, and degraded plant cover. The degradation of fertile soils in this …

Landslide susceptibility and influencing factors analysis in Rwanda

R Mind'je, L Li, JB Nsengiyumva, C Mupenzi… - Environment …, 2020 - Springer
Rwanda as a landlocked country has been recurrently facing tremendous and devastating
landslides having serious impacts on the environment and socioeconomic development …

Predicting landslide susceptibility and risks using GIS-based machine learning simulations, case of upper Nyabarongo catchment

JB Nsengiyumva, R Valentino - Geomatics, Natural Hazards and …, 2020 - Taylor & Francis
Sustainable landslide mitigation requires appropriate approaches to predict susceptible
zones. This study compared the performance of Logistic Model Tree (LMT), Random Forest …

Estimation of soil erosion using RUSLE modeling and geospatial tools in a tea production watershed (Chisheke in Walungu), eastern Democratic Republic of Congo

GB Chuma, FS Bora, AB Ndeko… - Modeling Earth Systems …, 2021 - Springer
Soil erosion is a major concern for the agricultural production as it leads to topsoil losses
and decreased soil fertility, especially in highland regions. Walungu's Chisheke watershed …

Modelling and mapping soil nutrient depletion in humid highlands of East Africa using ensemble machine learning: A case study from Rwanda

Y Uwiragiye, MJY Ngaba, M Zhao, AS Elrys… - Catena, 2022 - Elsevier
Soil nutrient depletion is one of the major causes of high yield gaps and nutrient deficiencies
in East Africa highlands, including Rwanda. This research sought to determine the current …

Evaluation of soil erosion and sediment yield spatio-temporal pattern during 1990–2019

LC Kulimushi, A Maniragaba, P Choudhari… - … , Natural Hazards and …, 2021 - Taylor & Francis
Land use/land cover (LULC) change is an important measure to monitor the land
degradation. This study focused on the Sebeya watershed located in the western province of …