2020
DOI: 10.1016/j.catena.2019.104372
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A multidisciplinary approach to investigate weathering processes affecting gneissic rocks (Calabria, southern Italy)

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Cited by 25 publications
(10 citation statements)
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“…The original chemical data stored in the GLORICH HC was sorted to fluxes d erived f rom c hemical weathering o f r ocks ( ICWR) a t a global scale that quantifies the natural rock fluxes of single ions. Assessment of chemical weathering rates (CWR) at catchment-toglobal scale has evolved over recent years due to improvements in laboratory experiments, the compilation of river water chemical databases, and the development of technical resources in modelling (Meybeck, 1987;Probst, 1993a, 1995;Probst et al, 1994;Hartmann et al, 2014a;Perri et al, 2016;Dong et al, 2018;Biondino et al, 2020). A distinction can be drawn between two main approaches to hydrogeochemical modelling: mechanistic and empirical based models.…”
Section: Data Subset and Estimation Of Atmospheric Depositionmentioning
confidence: 99%
See 1 more Smart Citation
“…The original chemical data stored in the GLORICH HC was sorted to fluxes d erived f rom c hemical weathering o f r ocks ( ICWR) a t a global scale that quantifies the natural rock fluxes of single ions. Assessment of chemical weathering rates (CWR) at catchment-toglobal scale has evolved over recent years due to improvements in laboratory experiments, the compilation of river water chemical databases, and the development of technical resources in modelling (Meybeck, 1987;Probst, 1993a, 1995;Probst et al, 1994;Hartmann et al, 2014a;Perri et al, 2016;Dong et al, 2018;Biondino et al, 2020). A distinction can be drawn between two main approaches to hydrogeochemical modelling: mechanistic and empirical based models.…”
Section: Data Subset and Estimation Of Atmospheric Depositionmentioning
confidence: 99%
“…CW of rocks is a complex process that is controlled by several factors that vary with soil depth, e.g. the composition of minerals (Apollaro et al, 2019;Biondino et al, 2020), and the hydrology (Gabet et al, 2006;Anderson et al, 2004;Hartmann, 2009). Boeglin and Probst (1998) showed that for large river basins, the atmospheric/soil CO 2 consumed by silicate weathering and the associated bicarbonate river fluxes are 1.8 times lower when the bedrock is covered by deep lateritic soils.…”
Section: Model Validationmentioning
confidence: 99%
“…Such a slip surface observed at section (A), highlighted with a red dashed line, seems to be the consequence of the debris materials overlying the slope, as the shear strain is concentrated along with the interface between the rock mass and debris, representing the least resistant surface. It has been reported that weathering is one of the factors that lead to the reduction in the inherent shear strength of the rock mass, which represents the maximum shear stress that the geological formation can withstand under slope ( Biondino et al., 2020 ; Conforti and Buttafuoco, 2017 ; Tran et al., 2019 ). Therefore, the presence of weathered materials above the slope profile section (A) indicates that there has been an alteration in the strength parameters of the slope material, such that failure is more likely in section (A).…”
Section: Resultsmentioning
confidence: 99%
“…A brief description of the lithology and geological features of the study area has been provided. The weathering grade of the slope was assessed based on the visual description, rock discolouration processes, hand scraping on rock masses and hammer, sound of the rock under the impact of a geological hammer, and Schmidt hammer tests ( Biondino et al., 2020 ; Ietto et al., 2018 ; Jun-Yao et al., 2020 ; Moses et al., 2014 ). The determination of the degree of weathering was based on the main weathering classification system, which classifies and characterises the weathering horizon into six classes from fresh/unweathered bedrock (grade I) to residual and colluvial soil (grade VI), as described in Table 1 .…”
Section: Methodsmentioning
confidence: 99%
“…The evolutionary phases of sediment composition and provenance are usually understood by many statistical relations and proxy analysis like Chemical Index of Alteration (CIA), Weathering Index of Parker (WIP), Chemical Index of Weathering and diagrams like the relationship between CIA and WIP, A-CN-K, A-CNK-FM, etc (Biondino et al, 2020;Nesbitt and Young, 1984;Cox et al, 1995;Descourvieres et al, 2011). To understand the weathering trends, two types of ternary diagrams are used here 1) .…”
Section: Discussionmentioning
confidence: 99%