Study of unpaved road surface erosion based on terrestrial laser scanning

Cao, Longxi; Wang, Yi; Liu, Can

doi:10.1016/j.catena.2020.105091

Cited by 25 publications

(39 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Un método alternativo para evaluar la erosión y el desgaste en diferentes materiales es el "3D scanning", a partir del cual se genera un modelo en 3 dimensiones de la superficie erosionada, valiéndose para ello de un Scanner 3D; esto posibilita cuantificar el volumen erosionado y estudiar la morfología del patrón de erosión generado (Cao et al, 2021). Sin embargo, a pesar de las numerosas ventajas que presenta, este método no es de uso frecuente en Argentina para estudiar las superficies erosionadas en materiales de construcción; en gran parte por la complejidad y costo económico del equipamiento requerido.…”

Section: Métodos De Evaluación De La Resistencia a Erosión Húmeda Y Abrasiónunclassified

Resistencia a Erosión Húmeda en Bloques de Tierra Comprimida. Evaluación de Diferentes Métodos para el Análisis de Resultados

Cabrera

González

2021

RTyC

View full text Add to dashboard Cite

En esta investigación se analizan los diferentes métodos de ensayo propuestos por la normativa internacional para evaluar la resistencia al intemperismo físico y, particularmente, a la erosión húmeda de los bloques de tierra comprimida (BTC), examinando las superficies erosionadas. Además, se proponen 2 alternativas diferentes a la propuesta por las normas para evaluar los resultados de estos ensayos: pérdida de masa y cotejo directo con patrones gráficos de comparación; analizando finalmente la viabilidad de cada método. Finalmente, se observó que el método de comparación directa con patrones sólo es efectivo para evaluar la resistencia a la erosión húmeda de las probetas sometidas al ensayo de pulverizado de agua a presión, mientras que el método de la determinación de la pérdida de masa no es adecuado para evaluar los resultados de este tipo ensayos.

show abstract

Section: Métodos De Evaluación De La Resistencia a Erosión Húmeda Y Abrasiónunclassified

Resistencia a Erosión Húmeda en Bloques de Tierra Comprimida. Evaluación de Diferentes Métodos para el Análisis de Resultados

Cabrera

González

2021

RTyC

View full text Add to dashboard Cite

show abstract

“…Soil erosion is one of the major concerns in forest watershed management everywhere. Disturbances such as forest roads, timber harvesting, and fire increase the likelihood of forest soil loss as reported by scientists in Australia (Cornish, 2001; Croke et al, 2005; Lane et al, 2006; Motha et al, 2003; Sheridan et al, 2007; Sheridan & Noske, 2007), North America (Elliot, 2013; Luce & Black, 1999), Europe (Nunes et al, 2018; Shakesby et al, 2016), the Caribbean (Ramos‐Scharrón & MacDonald, 2005) and Asia (Akay et al, 2008; Cao et al, 2021; Cuo et al, 2008; Sidle et al, 2004; Y. Zhang et al, 2019; Ziegler et al, 2007). Eroded sediment that is routed to forest streams or lakes can degrade the aquatic environment and impair beneficial uses of surface water resources as reported by scientists around the world (Cole et al, 2020; Elliot, 2013; Elliot et al, 2016; McCormick et al, 2010; Nunes et al, 2018; Ramos‐Scharrón & MacDonald, 2005; Smith et al, 2011; Zhai et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…, North America (Elliot, 2013;Luce & Black, 1999), Europe (Nunes et al, 2018;Shakesby et al, 2016), the Caribbean (Ramos-Scharr on & MacDonald, 2005) and Asia (Akay et al, 2008;Cao et al, 2021;Cuo et al, 2008;Sidle et al, 2004;Y. Zhang et al, 2019;Ziegler et al, 2007).…”

mentioning

confidence: 99%

Spatial simulation of forest road effects on hydrology and soil erosion after a wildfire

Cao

Elliot

Long

2021

Hydrological Processes

Self Cite

View full text Add to dashboard Cite

Post‐fire catchment and water utility managers throughout the world use predictive models to estimate potential erosion risks to aid in evaluating downstream impacts of increased runoff and erosion, and to target critical areas within a fire for applying mitigation practices. Erosion prediction can be complicated by forest road networks. Using novel GIS technology and soil erosion modelling, this study evaluated the effect of roads on surface runoff, erosion and sediment yields following a wildfire and determined that the predictive models were providing reasonable results. The GeoWEPP model was used to simulate onsite erosion and offsite sediment delivery before and after fire disturbance using a 2‐m resolution DEM as the terrain layer. Erosion rates in excess of 4 Mg ha−1 year−1 were predicted mainly from steep moderate and high severity burn areas. Roads influenced surface runoff flow path distributions and sub‐catchment delineations, affecting the spatial distribution of sediment detachment and transport. Roads tended to reduce estimated erosion on slopes below the roads but increases in erosion rates were estimated for road fillslopes. Estimated deposition amounts on roads and in sediment basins were similar to measured amounts. The results confirm that road prisms, culverts and road ditches influence sedimentation processes after wildfire, and they present opportunities to detain eroded sediments.

show abstract

“…Road construction will change the underlying topography and alter the surface hydrology (Wemple et al, 2017). In turn, runoff generation is enhanced and results in a higher soil loss risk than that in other land-use types, such as farmland (Ziegler and Giambelluca, 1997;Cao et al, 2021). Furthermore, roads may accumulate, deliver, or increase sediment in runoff (Gucinski et al, 2001;Ramosscharrón, 2021).…”

Section: Introductionmentioning

confidence: 99%

Adapting the WEPP hillslope model to predict unpaved road soil erosion in southern China

Cao

Zhang

Wang

2021

Preprint

Self Cite

View full text Add to dashboard Cite

Process-based erosion models are efficient tools that can be used to predict where and when erosion occurs. On unpaved roads that have been recognized as important sediment sources, soil loss along road segments should be precisely predicted. This study was performed using the hillslope version of the Water Erosion Prediction Project (WEPP) to estimate soil loss from 20 typical road segments in the red soil region of South China. Terrestrial laser scanning (TLS)-measured soil losses were used to validate the model simulations. The results showed that the WEPP model could reasonably predict the total soil loss in relatively short (less than 100 m) and gentle (slope gradient lower than 10%) road segments. In contrast, the WEPP-simulated soil loss was underestimated for long or steep road segments. Detailed outputs along roads revealed that most of the peak soil loss rates could not be adequately calculated. The linear critical shear stress and the sediment equilibrium theory in the WEPP model for soil detachment simulation might be responsible for the underestimation. Additionally, the lack of upslope flow and the curved road tortuosity were found to be connected to the relatively low efficiency of the model outputs. Nevertheless, the WEPP simulation could accurately fit the trend of soil loss variation along road segments despite underestimation. Furthermore, the simulated results could provide a reliable prediction of the maximum soil loss positions. Therefore, the WEPP model could be adopted to evaluate the erosion risk of unpaved roads in the red soil region of South China.

show abstract

Study of unpaved road surface erosion based on terrestrial laser scanning

Cited by 25 publications

References 41 publications

Resistencia a Erosión Húmeda en Bloques de Tierra Comprimida. Evaluación de Diferentes Métodos para el Análisis de Resultados

Resistencia a Erosión Húmeda en Bloques de Tierra Comprimida. Evaluación de Diferentes Métodos para el Análisis de Resultados

Spatial simulation of forest road effects on hydrology and soil erosion after a wildfire

Adapting the WEPP hillslope model to predict unpaved road soil erosion in southern China

Contact Info

Product

Resources

About