TY - JOUR
T1 - Gully erosion assessment in mountainous regions
T2 - a RUSLE-based methodology for the Central Peruvian Andes
AU - Paucar-Y-Montenegro, Clifton
AU - Rosas, Miluska A.
AU - Arancibia, Ada
N1 - Publisher Copyright:
© 2025 IAHS.
PY - 2025
Y1 - 2025
N2 - Soil erosion is a significant global threat, with gully erosion forming deep hillside channels that substantially contribute to sediment yield. While erosion is often assessed using models like the Revised Universal Soil Loss Equation (RUSLE), its limitation to only consider surface erosion, avoiding severe erosion processes, led us to develop RUSLEad, an adapted version for gully erosion. The method integrates the Topographic Wetness Index (TWI) and a region-specific sediment delivery ratio in its formulation and includes generalized likelihood uncertainty estimation for model validation. Our pilot study is a basin of 13 km2 located in the Central Peruvian Andes. There, we collected detailed topographic and soil data. Chosen for its cost-effectiveness and data accessibility, RUSLEad produced erosion maps and average sediment yield estimates, and identified erosion hotspots. This method, applicable to similar terrain elsewhere, supports Peru’s Climate Change Strategy 2050 by informing gully control and contributing to prioritizing potential remediation efforts.
AB - Soil erosion is a significant global threat, with gully erosion forming deep hillside channels that substantially contribute to sediment yield. While erosion is often assessed using models like the Revised Universal Soil Loss Equation (RUSLE), its limitation to only consider surface erosion, avoiding severe erosion processes, led us to develop RUSLEad, an adapted version for gully erosion. The method integrates the Topographic Wetness Index (TWI) and a region-specific sediment delivery ratio in its formulation and includes generalized likelihood uncertainty estimation for model validation. Our pilot study is a basin of 13 km2 located in the Central Peruvian Andes. There, we collected detailed topographic and soil data. Chosen for its cost-effectiveness and data accessibility, RUSLEad produced erosion maps and average sediment yield estimates, and identified erosion hotspots. This method, applicable to similar terrain elsewhere, supports Peru’s Climate Change Strategy 2050 by informing gully control and contributing to prioritizing potential remediation efforts.
KW - Andes
KW - TWI
KW - adapted RUSLE
KW - gully erosion
KW - sediment yield
UR - https://www.scopus.com/pages/publications/105023464035
U2 - 10.1080/02626667.2025.2580578
DO - 10.1080/02626667.2025.2580578
M3 - Article
AN - SCOPUS:105023464035
SN - 0262-6667
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
ER -