Analysing river network dynamics and active length - discharge relationship using water presence sensors DOI Creative Commons
Francesca Zanetti, Nicola Durighetto, Filippo Vingiani

et al.

Published: March 29, 2021

Abstract. Despite the importance of temporary streams for provision key ecosystem services, their experimental monitoring remains challenging because practical difficulties in performing accurate high-frequency surveys flowing portion river networks. In this study, about 30 electrical resistance (ER) sensors were deployed a high relief 2.6 km2 catchment Italian Alps to monitor spatio-temporal dynamics active network during fall 2019. The set-up ER was personalized make them more flexible deployment field and under low flow conditions. Available data analyzed, compared based estimates nodes' persistency then used generate sequence maps representing reaches stream with sub-daily temporal resolution. This allowed proper estimate joint variations length (L) discharge (Q) entire study period. Our analysis revealed cross-correlation between statistics individual signals persistencies cross sections where placed. observed spatial actively channels also diversity hydrological behaviour distinct zones catchment, which attributed differences geology stream-bed composition. pronounced responsiveness total small precipitation events as led important hysteresis L vs. Q relationship, thereby impairing performances power-law model frequently literature relate these two quantities. Consequently, our site adoption unique L-Q relationship infer variability from discharges would underestimate actual by 40%. work emphasizes potential analysing streams, discussing major limitations type technology emerging specific application presented herein.

Language: Английский

Instructive Surprises in the Hydrological Functioning of Landscapes DOI Creative Commons
James W. Kirchner, Paolo Benettin, Ilja van Meerveld

et al.

Annual Review of Earth and Planetary Sciences, Journal Year: 2023, Volume and Issue: 51(1), P. 277 - 299

Published: Jan. 10, 2023

Landscapes receive water from precipitation and then transport, store, mix, release it, both downward to streams upward vegetation. How they do this shapes floods, droughts, biogeochemical cycles, contaminant the health of terrestrial aquatic ecosystems. Because many key processes occur invisibly in subsurface, our conceptualization them has often relied heavily on physical intuition. In recent decades, however, much intuition been overthrown by field observations emerging measurement methods, particularly involving isotopic tracers. Here we summarize surprises that have transformed understanding hydrological at scale hillslopes drainage basins. These forced a shift perspective process conceptualizations are relatively static, homogeneous, linear, stationary ones predominantly dynamic, heterogeneous, nonlinear, nonstationary. ▪Surprising novel measurements transforming functioning landscapes.▪Even during storm peaks, streamflow is composed mostly stored landscape for weeks, months, or years.▪Streamflow tree uptake originate different subsurface storages seasons’ precipitation.▪Stream networks dynamically extend retract as wets dries, stream reaches lose flow into underlying aquifers.

Language: Английский

Citations

40
Unravelling spatial heterogeneity of inundation pattern domains for 2D analysis of fluvial landscapes and drainage networks DOI Creative Commons
Pierfranco Costabile, Carmelina Costanzo, Margherita Lombardo

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 632, P. 130728 - 130728

Published: Jan. 24, 2024

Fluvial landscape analysis represents an essential component in geomorphology, hydrology, ecology and cartography. It is traditionally focused on the transition between hillslopes channel domain, which network drainage represented by static flow lines. However, natural fluctuations of processes occurring watershed induce lateral longitudinal expansions contractions patterns variations stream surface area. These can be better understood introducing a two-dimensional (2D) view catchment hydrography, river width floodplain are included analysis. The novelty introduced this work development hydrodynamic hierarchical framework (HHF) to analyse transitions among geomorphic hydrographic features fluvial landscape, distinguishing hillslope, unchanneled valleys, floodplains, single/multithreads channels. HHF based estimation nested inundation pattern domains (IPDs) from digital elevation models 2D modeling. IPDs defined scaling laws that characterize log–log relations density unit discharge thresholds extracted direct rainfall method (DRM) approach under steady state solutions. physical significance analysed within context both physiographic rates employed as input for modeling approach. Initially, spatial heterogeneity initially used derive metrics function rate. Then, index, representative IPDs' heterogeneity, measure susceptibility area expand/contract. Finally, consistency results assessed comparison another hydrodynamic-based recently proposed literature. using challenging mountain low-relief environments, characterized multithread channels, meander cut-offs, oxbow lakes, extreme landscapes feature glacial outwash, permafrost, peatlands.

Language: Английский

Citations

11
Stream Network Dynamics of Non‐Perennial Rivers: Insights From Integrated Surface‐Subsurface Hydrological Modeling of Two Virtual Catchments DOI Creative Commons
Francesca Zanetti, Gianluca Botter, Matteo Camporese

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(2)

Published: Feb. 1, 2024

Abstract Understanding the spatio‐temporal dynamics of runoff generation in headwater catchments is challenging, due to intermittent and fragmented nature surface flows. The active stream network non‐perennial rivers contracts expands, with a dynamic behavior that depends on complex interplay among climate, topography, geology. In this work, CATchment HYdrology, an integrated surface–subsurface hydrological model (ISSHM), used simulate two virtual same, spatially homogeneous, subsurface characteristics (hydraulic conductivity, porosity, water retention curves) but different morphology. We run sets simulations reproduce sequence steady‐states at catchment wetness levels transient conditions analyze joint variations length ( L ) discharge outlet Q high resolutions. shape curves differs does not depend climate forcing, as it mainly controlled by underlying topography. then analyzed suitability topographic index contributing area identify spatial configuration maximum catchments. These morphometric parameters provided good estimate distribution flowing both study Our numerical indicate ISSHMs have potential accurately describe networks processes driving such that, overall, they can be useful tools gain insights into main physical drivers streams.

Language: Английский

Citations

11
Hierarchical climate-driven dynamics of the active channel length in temporary streams DOI Creative Commons
Gianluca Botter, Filippo Vingiani, Alfonso Senatore

et al.

Scientific Reports, Journal Year: 2021, Volume and Issue: 11(1)

Published: Nov. 2, 2021

Abstract Looking across a landscape, river networks appear deceptively static. However, flowing streams expand and contract following ever-changing hydrological conditions of the surrounding environment. Despite ecological biogeochemical value rivers with discontinuous flow, deciphering temporary nature quantifying their extent remains challenging. Using unique observational dataset spanning diverse geomorphoclimatic settings, we demonstrate existence general hierarchical structuring network dynamics. Specifically, stream activation follows fixed repeatable sequence, in which least persistent sections activate only when most ones are already flowing. This phenomenon not facilitates monitoring activities, but enables development mathematical framework that elucidates how climate drives temporal variations active length. As gets drier, average fraction decreases while its relative variability increases. Our study provides novel conceptual basis for characterizing impacts.

Language: Английский

Citations

42
Drier streams despite a wetter climate in woody-encroached grasslands DOI
Kayalvizhi Sadayappan, Rachel M. Keen, Karla M. Jarecke

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 627, P. 130388 - 130388

Published: Nov. 3, 2023

Language: Английский

Citations

17
Characterizing Space‐Time Channel Network Dynamics in a Mediterranean Intermittent Catchment of Central Italy Combining Visual Surveys and Cameras DOI Creative Commons
Simone Noto, Nicola Durighetto, Flavia Tauro

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(1)

Published: Jan. 1, 2024

Abstract Non‐perennial streams have a global prevalence, but quantitative knowledge of the temporal dynamics their flowing length—namely extent wet portion stream network—remains limited, as monitoring spatiotemporal configuration channels is challenging in most settings. This work combines high spatial resolution visual surveys and camera‐based approaches to reconstruct space‐time network 3.7 km 2 Mediterranean catchment central Italy. Information on hydrological status derived from 40 field sub‐hourly images collected with 21 stage‐cameras are combined exploiting hierarchical principle. The latter postulates existence Bayesian chain, defined local persistence nodes that dictates wetting/drying order during expansion/retraction cycles network. Our results highlight complexity study area: while number decreases dry season increases season, persistency exhibits highly heterogeneous non‐monotonic pattern, originating dynamically disconnected Despite this heterogeneity, model well approximates evolution state nodes, an accuracy exceeds 99%. Crucially, allows reconstruction even cases which part was not observed. provides novel conceptual approach for poorly accessible sites.

Language: Английский

Citations

6
Probabilistic Description of Streamflow and Active Length Regimes in Rivers DOI Creative Commons
Nicola Durighetto,

Veronica Mariotto,

Francesca Zanetti

et al.

Water Resources Research, Journal Year: 2022, Volume and Issue: 58(4)

Published: April 1, 2022

In spite of the prevalence temporary rivers over a wide range climatic conditions, they represent relatively understudied fraction global river network. Here, we exploit well-established hydrological model and derived distribution approach to develop coupled probabilistic description for dynamics catchment discharge corresponding active network length. Analytical expressions flow duration curve (FDC) stream length (SLDC) were used provide consistent classification streamflow regimes in rivers. Two distinct (persistent erratic) three different types (ephemeral, perennial, ephemeral de facto) identified depending on value two dimensionless parameters. These key parameters, which are related underlying fluctuations sensitivity changes (here quantified by scaling exponent b), originate seven behavioral classes characterized contrasting shapes SLDCs FDCs. The analytical was tested using data gathered study catchments located Italy USA, with satisfactory performances most cases. Our empirical results show existence structural relationship between regimes, is chiefly modulated b. proposed framework represents promising tool analysis streams.

Language: Английский

Citations

24
Advancing environmental flows approaches to streamflow depletion management DOI Creative Commons
Dana Lapides, Bryan M. Maitland, Samuel C. Zipper

et al.

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 607, P. 127447 - 127447

Published: Jan. 22, 2022

Language: Английский

Citations

23
On the Relation Between Active Network Length and Catchment Discharge DOI
Nicola Durighetto, Gianluca Botter

Geophysical Research Letters, Journal Year: 2022, Volume and Issue: 49(14)

Published: July 19, 2022

The ever-changing hydroclimatic conditions of the landscape induce ceaseless variations in wet channel length (

Language: Английский

Citations

21
Mapping Surface Water Presence and Hyporheic Flow Properties of Headwater Stream Networks With Multispectral Satellite Imagery DOI Creative Commons
David Dralle, Dana Lapides, Daniella Rempe

et al.

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(9)

Published: Aug. 16, 2023

Abstract Growth and contraction of headwater stream networks determine habitat extent, open a window to the hyporheic zone. A fundamental challenge is observation this process: wetted channel extent dynamic in space time, with length varying by orders magnitude over course single storm event catchments. To date, observational data sets are produced from boots‐on‐the‐ground campaigns, drone imaging, or flow presence sensors, which often laborious limited their spatial temporal extents. Here, we evaluate satellite imagery as means detect via machine learning methods trained on local surveys extent. Even where features smaller than imagery's resolution, surface water may be imprinted upon spectral signature an individual pixel. For two catchments northern California minimal riparian canopy cover highly train random forest model RapidEye captured contemporaneously existing predict (accuracy >91%). The used produce length‐discharge (L‐Q) relations calculate spatially distributed estimates capacity exchange. sharp break occurs main stem channels lower order tributaries, resulting stepped L‐Q relationship that cannot traditionally power law models. Remotely sensed powerful tool for mapping at high resolution.

Language: Английский

Citations

11