Soil loss estimation and empirical relationships for sediment delivery ratios of European river catchments

Gericke, Andreas

doi:10.1080/15715124.2014.1003302

Cited by 13 publications

(7 citation statements)

References 113 publications

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“…The potential erosion rates (in t km −2 yr −1 ) from the mainland of India were estimated (Maji, ; NAAS, ) by employing Universal Soil Loss Equation (USLE) (Wischmeier and Smith, ) (Figure a). Despite its limitations (Trimble and Crosson, ; Kinnell, ), USLE has been widely used to estimate soil erosion rates on regional (van der Knijff et al , ; Bakker et al , ; de Vente et al , ; Kra´sa et al , ; Tetzlaff et al , ), country wide (Grimm et al , ; Rousseva et al , ; Cebecauer and Hofierka, ), and continental scales (van der Knijff et al , ; Podmanicky et al , ; Gericke, ). The USLE equation is A s = R K L S C P , where A s is average annual soil loss (in t ha −1 yr −1 ), R is the rainfall erosivity factor, K is the soil erodibility factor, L is the slope‐length factor, S is the slope‐steepness factor, C is the cover and management factor, and P is the conservation practice factor.…”

Section: Methodsmentioning

confidence: 99%

A revised soil erosion budget for India: role of reservoir sedimentation and land‐use protection measures

Sharda¹,

Ojasvi

2016

Earth Surf Processes Landf

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Among the different controls of erosion budget at basin level, the relative impact of dams and land management is yet to be investigated. In this paper, the impact of dams on sediment yield has been assessed by using a conceptual modelling framework which considers the gross erosion and the cascade of dams constructed on a river network. The sediment budget has been estimated based on the gross erosion, deposition of sediment in reservoirs, and sediment yields of 23 mainland river basins of India. The gross erosion of the country is estimated as 5.11 ± 0.4 Gt yr−1 or 1559 t km−2 yr−1, out of which 34.1 ± 12% of the total eroded soil is deposited in the reservoirs, 22.9 ± 29% is discharged outside the country (mainly to oceans), and the remaining 43.0 ± 41% is displaced within the river basins. The river basins of northern India contribute about 81% of the total sediment yield from landmass while the share of southern river basins is 19%. The components of revised sediment budget for India are prominently influenced by the sediment trapped in reservoirs and the treatment of catchment areas by soil and water conservation measures. Analysis of sediment deposition in 4937 reservoirs indicated the average annual percentage capacity loss as 1.04% though it varies from 0.8% to >2% per year in smaller dams (1–50 Mm3 capacity) and from <0.5% to 0.8% per year in larger dams (51 to >1000 Mm3 capacity). Siltation of smaller dams poses a serious threat to their ecosystem services as they cater to a wider population for domestic, agricultural, and industrial purposes. Amongst the environment controls, land use significantly impacts the gross erosion rate and specific sediment yield as compared to climatic and topographic parameters. However, to analyse their integrated effect on the complex processes of sediment fluxes in a basin, further research efforts are needed. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Methodsmentioning

confidence: 99%

A revised soil erosion budget for India: role of reservoir sedimentation and land‐use protection measures

Sharda¹,

Ojasvi

2016

Earth Surf Processes Landf

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“…The models applied show a more heterogeneous scenario compared to the global ones. In addition to classic models such as (R)USLE and (R)WEQ, eight other large-scale models for the estimation of soil erosion at continental scale have been applied (Borrelli et al, 2015(Borrelli et al, , 2016Bosco et al, 2015;Cerdan et al, 2010;Gericke, 2015;Hessel et al, 2014;Kirkby, 2006;Li et al, 2017;Oost et al, 2009;Panagos et al, 2015a;Podmanicky et al, 2011;Symeonakis and Drake, 2010;Teng et al, 2016). Eleven out of 13 modelling applications rested on quantitative estimation of soil erosion.…”

Section: Spatial Scalementioning

confidence: 99%

Soil erosion modelling: A global review and statistical analysis

Borrelli¹,

Alewell²,

Alvarez³

et al. 2022

Preprint

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To gain a better understanding of the global application of soil erosion prediction models, we comprehensively reviewed relevant peer-reviewed research literature on soil-erosion modelling 1994-2017. Our aim was to identify (i) processes and models most frequently addressed in the literature, (ii) regions within which models are primarily applied, (iii) what regions remain unaddressed and why, and (iv) how frequently studies are conducted to validate/evaluate model outcomes relative to measured data. To perform this task, we merged the knowledge of a group of 66 soil-erosion scientists from 67 research institutions and 25 countries. The resulting database ‘Global Applications of Soil Erosion Modelling Tracker (GASEMT)’ includes 3,030 individual modelling records from 126 counties encompassing all continents (except Antarctica). Out of 8,471 articles identified as potentially relevant, we reviewed 1,697 articles and transferred relevant information from each into the database. For each record reported in the GASEMT database, 42 attributes were evaluated. The GASEMT database provides insights into the state-of-the-art of soil- erosion models and model applications worldwide. The database is also intended to support the upcoming country-based United Nations global soil-erosion assessment. This database may help inform soil erosion research priorities in that it builds a foundation for future targeted in-depth analyses. GASEMT is an open-source database that anyone can use to develop research, rectify errors, and expand.

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“…In the related publication (Gericke 2015), this map was named "2kbc". It was compared to other realisations and found to be most suitable to explain the spatial variability of suspended-solids yields and sediment delivery ratios (SDR) of river catchments in various European regions.…”

Section: )mentioning

confidence: 99%

Soil loss estimation and empirical relationships for sediment delivery ratios of European river catchments

Cited by 13 publications

References 113 publications

A revised soil erosion budget for India: role of reservoir sedimentation and land‐use protection measures

A revised soil erosion budget for India: role of reservoir sedimentation and land‐use protection measures

Soil erosion modelling: A global review and statistical analysis

Metadata of a soil loss map to assess sediment delivery ratios of European river catchments

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