Connectivity elements and mitigation measures in policy-relevant soil erosion models: A survey across Europe

M. Schmaltz, Elmar; L. Johannsen, Lisbeth; Thorsøe, Martin Hvarregaard; Tähtikarhu, Mika; A. Räsänen, Timo; Darboux, Frédéric; Strauss, Peter

doi:10.1016/j.catena.2023.107600

Cited by 7 publications

(2 citation statements)

References 85 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the generation of runoff, a portion of the surface soil on the slope is carried away, resulting in a reduction in surface roughness and a smoothing of the slope. This protects the soil from erosion but simultaneously reduces the resistance to overland flow on the slope, increasing kinetic energy and consequently raising the sediment transport rate [24][25][26]. Nonuniform infiltration on the slope can impact the formation of continuous overland flow, similarly leading to fluctuations in sediment transport rates [27].…”

Section: Shear Stress Stream Power Unit Stream Power and Unit Energymentioning

confidence: 99%

Responses of Soil and Ammonia Nitrogen Loss Rates to Hydraulic Parameters under Different Slope Gradients and Rainfall Intensities

Yang,

Wei,

Sun

et al. 2024

Water

View full text Add to dashboard Cite

Soil erosion and the consequent loss of nutrients have consistently been significant factors contributing to land degradation and nonpoint source pollution. While runoff serves as the primary carrier for nutrient loss, the hydraulic processes governing the mechanisms of nutrient loss remain not entirely clear. This paper aims to investigate the impacts of rainfall intensity and the slope gradient on hydraulic parameters, soil loss rates, and ammonia nitrogen loss rates, with the objective of determining the optimal hydraulic parameters for more accurate predictions of soil erosion and nutrient loss rates. A series of simulated rainfall experiments with three rainfall intensities (25, 50, and 75 mm min−1) and four slope gradients (8.7%, 17.6%, 26.8%, and 36.4%) were conducted on a 5 m × 10 m slope. The results indicated that the flow velocity, shear stress, stream power, unit stream power, and unit energy all increased with the increase in slope gradient or rainfall intensity. The water depth decreased with an increase in the slope gradient but increased with an increase in the rainfall intensity. Laminar flow occurred in all experiments (Reynolds number < 500). Only the overland flow under a 25 mm h−1 rainfall intensity and 8.7% slope gradient was subcritical flow (Froude number < 1). Hydraulic parameters, the soil loss rate, and ammonia nitrogen loss rate could be all expressed as the product of rainfall intensity and slope power function, with R2 ranging from 0.949 to 0.997. The average soil loss rate and process soil erosion rate could both be fitted using the power function of hydraulic parameters, with the optimal fitting parameter being stream power (R2 = 0.980 and 0.909). The average ammonia nitrogen loss rate exhibited a linear relationship with the hydraulic parameters, and the optimal fitting parameter was also stream power (R2 = 0.933). However, there were relatively low correlations between hydrodynamic parameters and the ammonia nitrogen loss rate (R2 = 0.450–0587). Our results contribute to a deeper understanding of the hydraulic processes involved in nutrient loss.

show abstract

Section: Shear Stress Stream Power Unit Stream Power and Unit Energymentioning

confidence: 99%

Responses of Soil and Ammonia Nitrogen Loss Rates to Hydraulic Parameters under Different Slope Gradients and Rainfall Intensities

Yang,

Wei,

Sun

et al. 2024

Water

View full text Add to dashboard Cite

show abstract

“…The imperative for soil-erosion risk assessment is underscored by its pivotal role in informing the development of robust policies and interventions for water and soil conservation [3]. Several models have been instrumental in generating soil-erosion risk assessment maps [4], facilitating decision-making processes by pinpointing high-priority areas and delineating targeted measures for optimal efficacy [5]. For instance, Hu et al [6] integrated remotesensing information (RS), geographic information system spatial analysis technology (GIS), and a soil-erosion risk assessment model to estimate the soil-erosion risk of the Yanshan Reservoir catchment.…”

Section: Introductionmentioning

confidence: 99%

Redefining Benggang Management: A Novel Integration of Soil Erosion and Disaster Risk Assessments

Yan,

Geng,

Jiang

et al. 2024

Land

View full text Add to dashboard Cite

In the granite regions of southern China, benggang poses a substantial threat to the ecological environment due to significant soil erosion. This phenomenon also imposes constraints on economic development, necessitating substantial investments in restoration efforts in recent decades. Despite these efforts, there remains a notable gap in comprehensive risk assessment that integrates both the erosion risk and disaster risk associated with benggang. This study focuses on a representative benggang area in Wuhua County, Guangdong province, employing transformer methods and high-resolution imagery to map the spatial pattern of the benggang. The integrated risk of benggang was assessed by combining soil-erosion risk and disaster risk, and cultivated land, residential land, and water bodies were identified as key disaster-affected entities. The machine-learning Segformer model demonstrated high precision, achieving an Intersection over Union (IoU) of 93.17% and an accuracy (Acc) of 96.73%. While the number of large benggang is relatively small, it constitutes the largest area proportion (65.10%); the number of small benggang is more significant (62.40%) despite a smaller area proportion. Prioritization for benggang management is categorized into high, medium, and low priority, accounting for 17.98%, 48.34%, and 33.69%, respectively. These priorities cover areas of 30.27%, 42.40%, and 27.33%, respectively. The findings of this study, which offer benggang management priorities, align with the nature-based solutions approach. Emphasizing the importance of considering costs and benefits comprehensively when formulating treatment plans, this approach contributes to sustainable solutions for addressing the challenges posed by benggang.

show abstract

Exploring the RUSLE-based structural sediment connectivity approach for agricultural erosion management

Räsänen,

Tähtikarhu,

Hyväluoma

2024

CATENA

View full text Add to dashboard Cite

Connectivity elements and mitigation measures in policy-relevant soil erosion models: A survey across Europe

Cited by 7 publications

References 85 publications

Responses of Soil and Ammonia Nitrogen Loss Rates to Hydraulic Parameters under Different Slope Gradients and Rainfall Intensities

Responses of Soil and Ammonia Nitrogen Loss Rates to Hydraulic Parameters under Different Slope Gradients and Rainfall Intensities

Redefining Benggang Management: A Novel Integration of Soil Erosion and Disaster Risk Assessments

Exploring the RUSLE-based structural sediment connectivity approach for agricultural erosion management

Contact Info

Product

Resources

About