Evaluating soil erosion by water in a small alpine catchment in Northern Italy: comparison of empirical models

Berteni, Francesca; Barontini, Stefano; Grossi, Giovanna

doi:10.1007/s11631-020-00447-x

Cited by 6 publications

(10 citation statements)

References 26 publications

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“…Figure 2 shows, respectively, the land use map and the digital elevation model (DEM) of the study area. 2 1250.6 mm Mean annual temperature 2 13.9 °C Thematic maps (slope map, lithological map hydrogeological instability map) of the Guerna watershed were produced using a GIS application and they are presented in [26]. In the lithological map limestones, marly limestones, and flint limestones are identified in most of the study area, while gravel, sand, blocks, and ferritization silt are evident at the Guerna mouth.…”

Section: Study Location: the Guerna Creek Basinmentioning

confidence: 99%

“…The methodology employed in computing K, LS, C and P factors is the same used in [26] to simulate the soil loss by RUSLE in the years 2008-2011 and it is briefly recalled below. The K factor was considered uniform, whereas the LS, P, and C factors were spatially variable in the Guerna catchment.…”

Section: The Musle Model and Its Applicationmentioning

confidence: 99%

“…The K factor value is 0.038 t•ha•h•ha −1 •MJ −1 mm −1 . It was calculated using both equations in [31], which were suggested by [32] and improved in [33], and the outcomes of the particle analysis of soil samples described in [26]. The LS factor was assessed taking into account its spatial variability and adjusting Moore and Burch's equation [34], by using Nearing's formula [35].…”

Section: The Musle Model and Its Applicationmentioning

confidence: 99%

“…There are four HSG groups, which are identified as A, B, C, and D on the basis of their minimum infiltration rate and runoff potential. Regarding the Guerna watershed, group D was selected because the results of the particle analysis described in [26] revealed that the soil fraction, as a percentage of the weight passing at 2 mm diameter, is mostly clay and silt. Table 2 shows the CN values attributed to the different land use areas in the Guerna catchment: Using values in Table 2, the weighted average value of CN for the watershed is 76.8: this value was used to estimate the surface runoff.…”

Section: Surface Runoffmentioning

confidence: 99%

“…Both soil loss by water erosion and sediment transport to the basin outlet, where the Guerna Creek joins the Oglio River outflowing from the Lake Iseo, are challenging local farmer communities and the authority managing Lake Iseo and the Oglio River. The same study area was selected in previous work to evaluate soil erosion by water through the Revised Universal Soil Loss Equation (RUSLE, [24]) and the Erosion Potential Method (EPM, [25]) in the current [26] and in the future climate [14,27]. The novelty of this study lies in the eventbased sediment yield estimate.…”

Section: Introductionmentioning

confidence: 99%

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Application of the MUSLE Model and Potential Effects of Climate Change in a Small Alpine Catchment in Northern Italy

Berteni

Dada

Grossi

2021

Water

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The evaluation of sediment yield by water erosion taking into consideration the possible impact of climate change is the object of this work, concerning the use of the Modified Universal Soil Loss Equation (MUSLE) in an Italian case study. This empirical model was implemented in a Geographical Information System, taking into account Alpine hydrology and geomorphological and climate parameters, which are crucial in the analysis of the intensity and variability of sediment yield production processes. The case study is the Guerna Creek basin, a small-sized mountain watershed placed in Lombardy, in the South-Central Alps (Northern Italy). In recent decades it has been hit at the same time by floods and erosive phenomena, showing its hydraulic-hydrological weakness. Three future climate change scenarios from 2041 to 2060, around the middle of this century, were built according to CORDEX data referring to three different Representative Concentration Pathways (RCP 2.6, RCP 4.5, RCP 8.5). The findings showed that in the future climate, the sediment yield at the basin scale might change by 24–44% for a single heavy storm in the middle of the current century.

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Section: Study Location: the Guerna Creek Basinmentioning

confidence: 99%

Section: The Musle Model and Its Applicationmentioning

confidence: 99%

Section: The Musle Model and Its Applicationmentioning

confidence: 99%

Section: Surface Runoffmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of the MUSLE Model and Potential Effects of Climate Change in a Small Alpine Catchment in Northern Italy

Berteni

Dada

Grossi

2021

Water

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Erosion potential model-based ANN-MLP for the spatiotemporal modeling of soil erosion in wadi Saida watershed

Cherif

Yahia

Bilal

et al. 2023

Model. Earth Syst. Environ.

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RUSLE‐based scenarios for sustainable soil management: Case studies from Romanian Subcarpathians

Vîrghileanu,

Săvulescu,

Mihai

et al. 2024

European J Soil Science

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Soil erosion is one of the major threats to soil sustainability and a global environmental issue causing serious losses of the fertile upper layer of soil, affecting land productivity. Among natural processes and human activity factors, the highest sensitivity of soil loss rate is related to climate changes, as well as land cover/land use transformations. The aim of our paper is to assess the efficacy of various land cover and land use management practices under current climate conditions, as a decision‐making indicator in searching for sustainable soil‐use solutions. The approach is focused on two complementary case studies from the non‐arable hilly area of Romanian Subcarpathians and it is based on aggregating and processing Earth Observation (EO) techniques together with the Revised Universal Soil Loss Equation (RUSLE) equation. The workflow follows three stages: (1) the assessment of the present‐day status of soil erosion, as baseline scenario; (2) the analysis of historical soil erosion dynamics within the last 35 years; and (3) the prediction of soil loss rates in different scenarios of changed conditions related to land cover management and support practices against erosion. The results demonstrate the effectiveness of human interventions in soil erosion prevention, mitigation, or conservation. Soil‐improving management through vegetative measures and soil practices, like grazing management and mulching/manure application, together with forest recovery on eroded slopes may reduce soil loss rates by 50%–70%. However, abandoning the land and allowing the environment to change uncontrollably is a regional‐specific strategy that could accelerate soil erosion on the slopes that are already affected, while decelerating on the others by forest and shrubs regrowth. The significance of our research is related to the identification of the optimal soil use strategies that balance the local communities' economic interests with the effectiveness of sustainable soil management practices, thereby assisting in the achievement of the UN Sustainable Development Goals (SDGs) as indicators for a sustainable future.

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Evaluating soil erosion by water in a small alpine catchment in Northern Italy: comparison of empirical models

Cited by 6 publications

References 26 publications

Application of the MUSLE Model and Potential Effects of Climate Change in a Small Alpine Catchment in Northern Italy

Application of the MUSLE Model and Potential Effects of Climate Change in a Small Alpine Catchment in Northern Italy

Erosion potential model-based ANN-MLP for the spatiotemporal modeling of soil erosion in wadi Saida watershed

RUSLE‐based scenarios for sustainable soil management: Case studies from Romanian Subcarpathians

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