This work involves the implementation of a tool for evaluating Sediment Delivery Ratio (SDR) in a river basin, through GRASS GIS software (GRASS Development Team, 2016). The definition of a spatially distributed value of SDR is a very important task as the sediment routing can affect solid transport in stream channels, water quality degradation, and frequency increase of natural disasters such as debris flows and mudflows. For such reason the SDR evaluation, coupled with GIS approach, has been extensively used in scientific literature. Geographic information systems provide a fundamental support for a better prediction of the SDR, since it can consider the space variability of factors influencing the sediment routing processes. Actually a specific GIS module to estimate the spatial variability of SDR does not exist. We implemented a GRASS GIS module (in python language) called r.sdr where the sediment delivery ratio is evaluated by GIS procedure by using several SDR equations available in literature. We applied the tool to the Feo Creek watershed, located in the Apennines area of northeastern Umbria (Italy).
A GRASS tool for the Sediment Delivery Ratio mapping.
DE ROSA, PIERLUIGI
Writing – Original Draft Preparation
;CENCETTI, CorradoWriting – Review & Editing
;FREDDUZZI, ANDREAWriting – Review & Editing
2016
Abstract
This work involves the implementation of a tool for evaluating Sediment Delivery Ratio (SDR) in a river basin, through GRASS GIS software (GRASS Development Team, 2016). The definition of a spatially distributed value of SDR is a very important task as the sediment routing can affect solid transport in stream channels, water quality degradation, and frequency increase of natural disasters such as debris flows and mudflows. For such reason the SDR evaluation, coupled with GIS approach, has been extensively used in scientific literature. Geographic information systems provide a fundamental support for a better prediction of the SDR, since it can consider the space variability of factors influencing the sediment routing processes. Actually a specific GIS module to estimate the spatial variability of SDR does not exist. We implemented a GRASS GIS module (in python language) called r.sdr where the sediment delivery ratio is evaluated by GIS procedure by using several SDR equations available in literature. We applied the tool to the Feo Creek watershed, located in the Apennines area of northeastern Umbria (Italy).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
