Preliminary study of the erosion mechanisms in a biancana badland (Tuscany, Italy)

Torri, Dino; Colica, Antonella; Rockwell, D. L.

doi:10.1016/0341-8162(94)90073-6

Cited by 75 publications

(52 citation statements)

References 7 publications

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“…Biancane (singular biancana) are small, conical or dome-shaped forms up to 20 m high (Figure 1(b) ), which may occur singly or in groups, i.e. fields or swarms on the otherwise low angle pediments (Torri et al, 1994;Torri and Bryan, 1997;Calzolari and Ungaro, 1998;Clarke and Rendell, 2000). Within the Italian literature, calanchi and biancane have tended to be viewed as isolated landscape elements rather than as part of a landform association of scarp front (calanchi), pediment and domed inselbergs (biancane).…”

Section: Introductionmentioning

confidence: 99%

Process–form relationships in Southern Italian badlands: erosion rates and implications for landform evolution

Clarke

Rendell

2005

Earth Surf Processes Landf

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Section: Introductionmentioning

confidence: 99%

Process–form relationships in Southern Italian badlands: erosion rates and implications for landform evolution

Clarke

Rendell

2005

Earth Surf Processes Landf

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“…Further, the state of soil dispersion and erodibility in erosion prone areas has been related to the exchangeable sodium percentage (ESP), the sodium adsorption ratio (SAR), the sodium percentage (PS) and the total amount of dissolved salts (TDS) of the surface soils (Faulkner, 2006;Piccarreta et al, 2006;Torri et al, 1994), although gullying occurs in soils that do not exceed the erosion threshold for these parameters (Rienks, 2000).…”

mentioning

confidence: 99%

Erosion Related Changes to Physicochemical Properties of Ultisols Distributed on Calcareous

Nandi¹,

Luffman²

2012

JSD

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Water induced soil erosion, relating to improper land management, is a serious land degradation problem in Ultisols that results in rill and gully erosion. The extent of land degradation depends largely on the severity of erosion, which modifies the soil's physical and chemical properties. A detailed understanding of eroded soil properties is essential for assessment of future land management and soil-water conservation. The aim of this research is to evaluate the changes in physico-chemical and mineralogical properties of ultisols associated with gully erosion in East Tennessee. The study area is located in the southern Appalachian Valley and Ridge province, where a thick sequence of red colored clay rich soil (soil series is the Collegedale-Etowah complex) is found on dolomite and limestone bedrock. Four one-meter long soil cores and fifty-two bulk samples were collected from sites of active gully erosion (two cores) and from adjacent non-gullied soil (two cores). The physico-chemical properties assessed for each sample included clay mineralogy using X-ray diffraction (XRD), scanning electron microscopy (SEM) with energy-dispersive X-ray (EDX) methods, pH, cation exchange capacity (CEC), nitrogen, potassium, and phosphorus, particle size distribution (PSD), Atterburg limits, bulk density, moisture content, porosity, saturated hydraulic conductivity (Ks), soil erodibility factor, and swelling potential. According to the USDA, soil texture was classified as silty clay loam and silty clay. Significant differences (p<0.05) existed between eroding and non-eroding soils for the following factors: clay and silt content; porosity Ks, K; Atterberg limits, and swelling potential. Statistically significant correlations were established between clay content and Atterberg limits, bulk density, Ks, and swelling potential. Furthermore, results of X-ray diffraction indicated the presence of quartz, chlorite, illite, kaolinite, kaolinite -smectite expansive clay, hematite and ferrihydrite. Relic crystals of calcite were found in the saprolite horizon. Overall result indicated that selected physico-chemical properties can be used as an indicator of gully erosion in southern Appalachian Ultisols.

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“…While the outline so far focused on surface runoff, lateral subsurface flow processes may also be relevant although they are usually not considered in semi-arid environments (for an overview and a critique see Beven, 2002). Lateral subsurface flow in the semi-arid is generated for specific conditions, for instance in the presence of soil pipes or other macropores (Torri et al, 1994;Sandström, 1996), during the development of a perched water table in wet periods (Wilcox et al, 1997;Van de Giesen et al, 2000;Chamran et al, 2002) or during saturation of alluvial zones next to the main channel (Ceballos and Schnabel, 1998). …”

Section: Landscape Variability and Hydrological Processes In Semi-arimentioning

confidence: 99%

Representation of landscape variability and lateral redistribution processes for large-scale hydrological modelling in semi-arid areas

Güntner

Bronstert

2004

Journal of Hydrology

117

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The spatial variability of landscape features such as topography, soils and vegetation defines the spatial pattern of hydrological state variables like soil moisture. Spatial variability thereby controls the functional behaviour of the landscape in terms of its runoff response. A consequence of spatial variability is that exchange processes between landscape patches can occur at various spatial scales ranging from the plot to the basin scale. In semi-arid areas, the lateral redistribution of surface runoff between adjacent landscape patches is an important process. For applications to large river basins of 10 4 -10 5 km 2 in size, a multi-scale landscape discretization scheme is presented in this paper. The landscape is sub-divided into modelling units within a hierarchy of spatial scale levels. By delineating areas characterized by a typical toposequence, organised and random variability of landscape characteristics is captured in the model. Using runoff -runon relationships with transition frequencies based on areal fractions of modelling units, lateral surface and subsurface water fluxes between modelling units at the hillslope scale are represented. Thus, the new approach allows for a manageable description of interactions between fine-scale landscape features for inclusion in coarse-scale models. Model applications for the State of Ceará (150,000 km 2 ) in the north-east of Brazil demonstrate the importance of taking into account landscape variability and interactions between landscape patches in a semiarid environment. Using mean landscape characteristics leads to a considerable underestimation of infiltration-excess surface runoff and total simulated runoff. Re-infiltration of surface runoff and lateral redistribution processes between landscape patches cause a reduction of runoff volumes at the basin scale and contribute to the amplification of variations in runoff volumes relative to variations in rainfall volumes for semi-arid areas. q 2004 Published by Elsevier B.V.

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Preliminary study of the erosion mechanisms in a biancana badland (Tuscany, Italy)

Cited by 75 publications

References 7 publications

Process–form relationships in Southern Italian badlands: erosion rates and implications for landform evolution

Process–form relationships in Southern Italian badlands: erosion rates and implications for landform evolution

Erosion Related Changes to Physicochemical Properties of Ultisols Distributed on Calcareous

Representation of landscape variability and lateral redistribution processes for large-scale hydrological modelling in semi-arid areas

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