Daniele Penna
ETH Zurich
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Publication
Featured researches published by Daniele Penna.
Science of The Total Environment | 2019
Giulia Zuecco; Daniele Penna; Marco Borga; H.J. van Meerveld
Hillslope-stream connectivity significantly affects streamflow and water quality responses during rainfall and snowmelt events, but is difficult to quantify. One approach to quantify subsurface hillslope-stream connectivity is graph theory, which considers linear connections between groundwater measurement sites. We quantified subsurface connectivity based on surface topography and shallow groundwater data from four small (<14 ha) headwater catchments in the Italian Dolomites and the Swiss pre-Alps, determined the relation between rainfall, antecedent wetness conditions and subsurface connectivity and assessed the sensitivity of the results to changes in the measurement network. Event total stormflow was correlated to maximum subsurface connectivity. Subsurface connectivity increased during rainfall events but maximum connectivity occurred later than peak streamflow, resulting in anti-clockwise hysteretic relations between the two. Subsurface connectivity was positively correlated to rainfall amount. Maximum subsurface connectivity was related to the sum of total rainfall plus antecedent rainfall for the Dolomitic catchments, but these relations were less clear for the pre-alpine catchments. For the pre-alpine catchments, the fractions of time that the groundwater monitoring sites were connected to the stream were significantly correlated to the upslope site characteristics, such as the Topographic Wetness Index. For the Dolomitic catchments, the fractions of time that the monitoring sites were connected to the stream were correlated to the topographic characteristics of the upslope contributing area for the catchment with the small riparian zone, and with the distance to the nearest stream for the catchment with the large riparian zone. The leave-one-out sensitivity analysis showed that small changes in the structure of the groundwater monitoring networks had a limited influence on the results, suggesting that graph-theory approaches can be used to describe subsurface hydrologic connectivity. However, the proposed graph-theory approach should be verified in other catchments with different groundwater monitoring networks.
GEOPHYSICAL RESEARCH ABSTRACTS | 2012
N. Mantese; Daniele Penna; Giulia Zuecco; Marco Borga; Tommaso Anfodillo; Vinicio Carraro; G. Dalla Fontana
Archive | 2017
Giulia Zuecco; Daniele Penna; Ilja van Meerveld; Marco Borga
Archive | 2016
Giulia Zuecco; H. J. van Meerveld; Daniele Penna; Marco Borga
2nd Global User Meeting Ion Chromatography | 2016
Luisa Pianezzola; Daniele Penna; Giulia Zuecco; S. Pozzoni; Marco Borga
Archive | 2015
Daniele Penna; Giulia Zuecco; Marco Cavalli; Sebastiano Trevisani; Stefano Crema; Luisa Pianezzola; Giancarlo Dalla Fontana; Lorenzo Marchi; Marco Borga
2014 AGU Chapman Conference on Catchment Spatial Organization and Complex Behavior | 2014
Daniele Penna; Giulia Zuecco; Luisa Pianezzola; H. J. van Meerveld; Marco Borga
Four decades of progress in monitoring and modelling of processes in the soil-plant-atmosphere system: applications and challenges | 2013
Daniele Penna; Omar Oliviero; Rick Assendelft; Giulia Zuecco; N. Mantese; Vinicio Carraro; Tommaso Anfodillo; H. J. van Meerveld; Marco Borga; G. Dalla Fontana
Archive | 2012
Daniele Penna; Barbara Stenni; Martin Šanda; Sebastian Wrede; Thom Bogaard; Matthew Michelini; B. M. C. Fischer; A. Gobbi; N. Mantese; Giulia Zuecco; Marco Borga; Marcello Bonazza; Martina Sobotkova; B. Cejková; Leonard I. Wassenaar
Archive | 2012
Marco Cavalli; Sebastiano Trevisani; Lorenzo Marchi; Daniele Penna; Marco Borga; Giancarlo Dalla Fontana