The paper focuses on the channel network of alpine basins, attempting to interpret channel reaches in terms of response to erosion and deposition processes. Two basins in the Dolomites (north‐eastern Italy) were considered: the Rio Cordon (5 km2) and the upper Boite River (163 km2). The channel network was extracted from raster‐type digital elevation models (DEM) using a slope–area threshold criterion. A contribution area index (CAI), which combines drainage area, A, and local slope, S (CAI = A0·5S), was used to identify channel heads. The channel network extracted from the DEM was then analysed to recognize cells showing a value of CAI lower than the threshold adopted for channel initiation. Contiguous cells with low values of CAI define channel reaches with low transport efficiency. Field surveys carried out for some selected cases showed a good agreement between prevailing sediment deposition predicted by the analysis of the channel network and observed channel morphological features. Sediment sources mapped in two study basins were also analysed in relation to the location of channels with high potential for sediment deposition: this made it possible to classify the potential role of different types of sediment sources with regard to basin sediment yield. Topographic characteristics of the channel network, expressed by CAI, were compared with a classification of channel morphology in the Rio Cordon. It was found that cells with low values of CAI frequently occur in the riffle–pool reaches, whereas the percentage significantly decreases in step–pool and bedrock channels. Copyright © 2003 John Wiley & Sons, Ltd.
Hydrological Processes – Wiley
Published: Jan 1, 2003
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera