Unravelling runoff processes in Andean basins in northern Ecuador through hydrological signatures

2021 ◽  
Author(s):  
Jonathan Gordillo ◽  
Luis E. Pineda
Keyword(s):  
Hydrological Signatures

scholarly journals A Ranking of Hydrological Signatures Based on Their Predictability in Space

2018 ◽  
Vol 54 (11) ◽  
pp. 8792-8812 ◽  
Author(s):  
N. Addor ◽  
G. Nearing ◽  
C. Prieto ◽  
A. J. Newman ◽  
N. Le Vine ◽  
...  
Keyword(s):  
Hydrological Signatures

Deriving hydrological signatures from soil moisture data

2020 ◽  
Vol 34 (6) ◽  
pp. 1410-1427 ◽  
Author(s):  
Flora Branger ◽  
Hillary K. McMillan
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Data ◽  
Hydrological Signatures

Linking hydrological signatures to hydrological processes and catchment attributes: a flexible approach applied to baseflow signatures

2020 ◽  
Author(s):  
Sebastian Gnann ◽  
Nicholas Howden ◽  
Ross Woods ◽  
Hilary McMillan
Keyword(s):  
Hydrological Processes ◽  
Regional Studies ◽  
Hydrological Process ◽  
Global Studies ◽  
Hydrological Models ◽  
Major Step ◽  
Flexible Approach ◽  
Perceptual Model ◽  
The Relationship ◽  
Hydrological Signatures

<p>Hydrological signatures aim at extracting information about certain aspects of hydrological behaviour. They can be used to quantify hydrological similarity, to explore catchment functioning and to evaluate hydrological models. Relating hydrological signatures to hydrological processes is, however, still a challenge and many signatures remain poorly understood.</p><p>We propose a flexible approach for linking hydrological signatures to hydrological processes, which might help to improve our understanding and hence the usefulness of certain hydrological signatures. As a first step, we should build a perceptual model describing the hydrological process of interest. We should then try to find or create relevant – and ideally widely available – catchment attributes that target the process of interest, and hence have the potential to explain the signature in a process-based way. We should control for climate by either incorporating it into our perceptual model or by analysing sub-climates individually, to disentangle the influences of forcing and catchment form. Lastly, simple conceptual models might be a useful tool to systematically explore the controlling factors (parameters, forcing) of a signature. Focusing on hydrological processes and explaining hydrological signatures in a process-based way will make hydrological signatures more meaningful, useful and robust.</p><p>The proposed approach is tested on signatures related to baseflow and groundwater processes, such as the baseflow index. Baseflow generation has been studied extensively, and while many regional studies could identify landscape controls on baseflow generation (e.g. soils and geology), continental or global studies have resulted in a less clear picture, partially because of the masking influence of climate at these scales. Furthermore, the relationship between controls, such as climate and catchment form, and baseflow response has often been only described statistically (e.g. by means of regression-type approaches).  A mechanistic theory based on widely available catchment attributes (e.g. soils, geology, topography) would thus be a major step towards improved understanding and transferability.</p>

scholarly journals A synthetic study to evaluate the utility of hydrological signatures for calibrating a base flow separation filter

2016 ◽  
Vol 52 (8) ◽  
pp. 6526-6540 ◽  
Author(s):  
Chun-Hsu Su ◽  
Tim J. Peterson ◽  
Justin F. Costelloe ◽  
Andrew W. Western
Keyword(s):  
Flow Separation ◽  
Base Flow ◽  
Base Flow Separation ◽  
Hydrological Signatures

scholarly journals Assessing watershed hydrological response to climate change based on signature indices

2021 ◽  
Author(s):  
Atiyeh Fatehifar ◽  
Mohammad Reza Goodarzi ◽  
Seyedeh Sima Montazeri Hedesh ◽  
Parnian Siahvashi Dastjerdi
Keyword(s):  
Climate Change ◽  
Discharge Rate ◽  
Baseline Period ◽  
Future Climate Change ◽  
Hydrological Response ◽  
High Discharge ◽  
Discharge Rates ◽  
Segment Volume ◽  
The Mean ◽  
Hydrological Signatures

Abstract Due to the fact that one of the important ways of describing the performance of basins is to use the hydrological signatures, the present study is to investigate the effects of climate change using the hydrological signatures in Azarshahr Chay basin, Iran. To this end, Canadian Earth system model (CanESM2) is first used to predict future climate change (2030–2059) under two Representative Concentration Pathways (RCP2.6 and RCP8.5). Six signature indices were extracted from flow duration curve (FDC) as follows: runoff ratio (RR), high-segment volume (FHV), low-segment volume (FLV), mid-segment slope (FMS), mid-range flow (FMM), and maximum peak discharge (DiffMaxPeak). These signature indices act as sorts of fingerprints representing differences in the hydrological behavior of the basin. The results indicate that the most significant changes in the future hydrological response are related to the FHV and FLV and FMS indices. The BiasFHV index indicates an increase in high discharge rates under RCP8.5 scenario, compared to the baseline period and the RCP2.6 scenario, as well. The mean annual discharge rate, however, is lower than the discharge rate under this scenario. Generally, for the RCP8.5 scenario, the changes in the signature indices in both high discharges and low discharges are significant.

scholarly journals Hydrological signatures of earthquake strain

1993 ◽  
Vol 98 (B12) ◽  
pp. 22035-22068 ◽  
Author(s):  
Robert Muir-Wood ◽  
Geoffrey C. P. King
Keyword(s):  
Hydrological Signatures

Surface runoff connectivity across scales: revisiting three simulation studies

2021 ◽  
Author(s):  
Daniel Caviedes-Voullième ◽  
Ilhan Özgen-Xian ◽  
Christoph Hinz
Keyword(s):  
Water Balance ◽  
Surface Runoff ◽  
Spatial Scales ◽  
Structural Connectivity ◽  
Full Description ◽  
Runoff Generation ◽  
Catchment Scale ◽  
Model Quality ◽  
Spatiotemporal Model ◽  
Hydrological Signatures

<p>Surface runoff (dis)connectivity manifests across scales, spawning from different spatial flow patterns, which are dominated by both topography (structural connectivity) and hydrodynamics (dynamic connectivity). How the connectivity builds and evolves throughout rainfall events is integrated into observable hydrological signatures (namely, hydrographs and water balance). </p><p>In this contribution we explore the connectivity properties of runoff generation processes across spatial scales. We revisit three case studies of runoff generation during rainfall, numerically simulated by solving shallow-water equations. This approach provides a full description of the hydrodynamic flow fields, allowing to study both the connectivity properties, as well as the domain-integrated hydrological signatures (namely, hydrographs) that build up in response to flow phenomena. </p><p>We discuss and link the runoff generation processes arising from (i) runoff generation at the plot scale (20 m2 at cm resolution) with explicit microtopographies, (ii) runoff generation at the hillslope or first-order catchment scale with overland and (ephemeral) rill flows in the Hühnerwasser experimental catchment (4000 m2 at m resolution), and (iii) runoff generation at the catchment scale in the Lower Triangle catchment (15 km2 at m resolution).</p><p>The detailed study of runoff generation dynamics highlights the needs to use time-evolving connectivity metrics, which are particularly useful to understand spatiotemporal model output. We computed the number of disconnected flooded clusters (and Euler characteristic) as the main connectivity metric.</p><p>The results of the three different systems suggest similar qualitative behaviours of connectivity across scales, from plot to catchment scales, and therefore also offer the possible use of connectivity to understand how fluxes are re-scaled across the landscape, and as a multiscale indicator of hydrological function. The relationship between the connectivity response at a given scale (e.g., plot) and the hydrological signature observed at the next larger scale (e.g., hillslope) may lead into a hierarchical relationship of connectivities and signatures, in which the time-continuous nature of the connectivity signal may give rise to non-linear and threshold behaviours in the larger scale signature. </p><p>Additionally, in the context of assessing model quality, connectivity is a feature of the natural system which models (and modellers) should strive to ensure. In this sense, we argue that model formulations, meshing (including resolution/topology and preprocessing/smoothing of the terrain model) and parameterisations should be evaluated not only using integrated signatures (e.g., water balance, hydrographs) or point data (water depth, velocities) but also using (dis)connectivity metrics. In this way, it is possible to evaluate to which extent a model and its setup can simulate natural flow paths and landscape functions.</p>

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