Relations between climatic–geomorphological parameters and sediment yield in a mediterranean semi-arid area (Sicily, southern Italy)

Abstract. Erosion and deposition processes in badland areas are usually estimated using traditional observations of topographic changes, measured by erosion pins or profile metres (invasive techniques). In recent times, remote-sensing techniques (non-invasive) have been routinely applied in geomorphology studies, especially in erosion studies. These techniques provide the opportunity to build high-resolution topographic models at centimetre accuracy. By comparing different 3-D point clouds of the same area, obtained at different time intervals, the variations in the terrain and temporal dynamics can be analysed. The aim of this study is to assess and compare the functioning of terrestrial laser scanner (TLS, RIEGL LPM-321) and structure-from-motion photogrammetry (SfM) techniques (Camera FUJIFILM, Finepix x100 and software PhotoScan by AgiSoft) to evaluate erosion and deposition processes in two opposite slopes in a humid badlands area in the central Spanish Pyrenees. Results showed that TLS data sets and SfM photogrammetry techniques provide new opportunities in geomorphological erosion studies. The data we recorded over 1 year demonstrated that north-facing slopes experienced more intense and faster changing geomorphological dynamics than south-facing slopes as well as the highest erosion rates. Different seasonal processes were observed, with the highest topographic differences observed during winter periods and the high-intensity rainfalls in summer. While TLS provided the highest accuracy models, SfM photogrammetry was still a faster methodology in the field and precise at short distances. Both techniques present advantages and disadvantages, and do not require direct contact with the soil and thus prevent the usual surface disturbance of traditional and invasive methods.

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“…Sadiki et al, 2007) and bathymetric surveys (e.g. Grauso et al, 2008) have been sporadically applied in badland studies (Fig. 1).…”

Section: Review: Methodologies For Analysing Geomorphological Processmentioning

confidence: 99%

The application of terrestrial laser scanner and SfM photogrammetry in measuring erosion and deposition processes in two opposite slopes in a humid badlands area (central Spanish Pyrenees)

Nadal‐Romero

Revuelto

Errea

et al. 2015

SOIL

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“…It is worth mentioning that the correlation between the SSY and the drainage density has proven to be not as significant in some cases (Grauso et al, 2007). For example, Cannarozzo andFerro (1985, 1988) found drainage density to be poorly significant in predicting SSY for a number of watersheds located in Sicily (southern Italy).…”

Section: Application Of the Regression Relationships To Ungauged Watementioning

confidence: 99%

Estimating the suspended sediment yield in a river network by means of geomorphic parameters and regression relationships

Grauso

Fattoruso

Crocetti

et al. 2008

Hydrol. Earth Syst. Sci.

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Abstract. An application of regression relationships depending on geomorphic parameters is proposed to predict the amount of the average annual suspended sediment yield at different sections of the drainage network. Simple and multiple regression relationships, utilising the drainage density and the hierarchical anomaly index as independent variables, based on data from 20 river basins of different size located in Italy, are here tested. An application is also shown for a small river basin located in central Italy where it is possible to compare the obtained suspended sediment yield estimates with reservoirs siltation data. The results confirm the potential applicability of regression equations for estimating the suspended sediment yield depending on the topological behaviours of the river network. A discussion of the reliability of the method for ungauged basins is also provided, which puts in light the necessity of additional tests to support the application of the approach to small size watersheds.

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“…These two parameters express the organization degree of drainage networks. Ciccacci et al [30] and Grauso et al [21] provide more details of these two parameters.…”

Section: Geomorphic Parametersmentioning

confidence: 99%

“…It is worth noting that a few sub-basins could not be delineated in areas that are relatively plains, which create difficulties in delineating the river and basin boundary. The river network's properties, namely the hierarchical anomaly index and the hierarchical anomaly density [1,21,30,52,53], were estimated based on the digitized river network derived from 1:50,000 topographical maps obtained from the Royal Thai Survey Department, which was satisfactorily compared to the existing river network [51]. To elaborate on the river network's properties, let us assume G as the number of first order streams necessary to make a drainage network perfectly ordered in a binary tree-shaped structure with streams of order K flowing into streams of order K + 1, and N is the number of first order streams present in the drainage network.…”

Section: Geomorphic Parametersmentioning

confidence: 99%

“…Several authors have shown the effectiveness of statistical relationships, which allow one to estimate river sediment transport depending on easily available geomorphologic, hydrological and climatic parameters [1,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Sediment yield is controlled by factors that control erosion and sediment delivery, including local topography, soil properties, climate, vegetation cover, catchment morphology, drainage network characteristics and land use [26,28].…”

Section: Introductionmentioning

confidence: 99%

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Principal Component and Multiple Regression Analyses for the Estimation of Suspended Sediment Yield in Ungauged Basins of Northern Thailand

Wuttichaikitcharoen

Babel

2014

Water

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Predicting sediment yield is necessary for good land and water management in any river basin. However, sometimes, the sediment data is either not available or is sparse, which renders estimating sediment yield a daunting task. The present study investigates the factors influencing suspended sediment yield using the principal component analysis (PCA). Additionally, the regression relationships for estimating suspended sediment yield, based on the selected key factors from the PCA, are developed. The PCA shows six components of key factors that can explain at least up to 86.7% of the variation of all variables. The regression models show that basin size, channel network characteristics, land use, basin steepness and rainfall distribution are the key factors affecting sediment yield. The validation of regression relationships for estimating suspended sediment yield shows the error of estimation ranging from −55% to +315% and −59% to +259% for suspended sediment yield and for area-specific suspended sediment yield, respectively. The proposed relationships may be considered useful for predicting suspended sediment yield in ungauged basins of Northern Thailand that have geologic, climatic and hydrologic conditions similar to the study area.

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Relations between climatic–geomorphological parameters and sediment yield in a mediterranean semi-arid area (Sicily, southern Italy)

Cited by 31 publications

References 15 publications

The application of terrestrial laser scanner and SfM photogrammetry in measuring erosion and deposition processes in two opposite slopes in a humid badlands area (central Spanish Pyrenees)

The application of terrestrial laser scanner and SfM photogrammetry in measuring erosion and deposition processes in two opposite slopes in a humid badlands area (central Spanish Pyrenees)

Estimating the suspended sediment yield in a river network by means of geomorphic parameters and regression relationships

Principal Component and Multiple Regression Analyses for the Estimation of Suspended Sediment Yield in Ungauged Basins of Northern Thailand

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