A 2D SWEs framework for efficient catchment-scale simulations: hydrodynamic scaling properties of river networks and implications for non-uniform grids generation

2021 ◽  
pp. 126306
Author(s):  
Pierfranco Costabile ◽  
Carmelina Costanzo
Keyword(s):  
River Networks ◽  
Catchment Scale ◽  
Scaling Properties ◽  
Hydrodynamic Scaling ◽  
Uniform Grids

scholarly journals Science and Management of Intermittent Rivers and Ephemeral Streams (SMIRES)

2017 ◽  
Vol 3 ◽  
pp. e21774 ◽  
Author(s):  
Thibault Datry ◽  
Gabriel Singer ◽  
Eric Sauquet ◽  
Dídac Jorda-Capdevila ◽  
Daniel Von Schiller ◽  
...  
Keyword(s):  
Ecological Status ◽  
Global Scale ◽  
Research Network ◽  
River Networks ◽  
Ephemeral Streams ◽  
Catchment Scale ◽  
Water Demands ◽  
Raising Awareness ◽  
Intermittent Rivers ◽  
Working Groups

More than half of the global river network is composed of intermittent rivers and ephemeral streams (IRES), which are expanding in response to climate change and increasing water demands. After years of obscurity, the science of IRES has bloomed recently and it is being recognised that IRES support a unique and high biodiversity, provide essential ecosystem services and are functionally part of river networks and groundwater systems. However, they still lack protective and adequate management, thereby jeopardizing water resources at the global scale. This Action brings together hydrologists, biogeochemists, ecologists, modellers, environmental economists, social researchers and stakeholders from 14 different countries to develop a research network for synthesising the fragmented, recent knowledge on IRES, improving our understanding of IRES and translating this into a science-based, sustainable management of river networks. Deliverables will be provided through i) research workshops synthesising and addressing key challenges in IRES science, supporting research exchange and educating young researchers, and ii) researcher-stakeholder workshops translating improved knowledge into tangible tools and guidelines for protecting IRES and raising awareness of their importance and value in societal and decision-maker spheres. This Action is organized within six Working Groups to address: (i) the occurrence, distribution and hydrological trends of IRES; (ii) the effects of flow alterations on IRES functions and services; (iii) the interaction of aquatic and terrestrial biogeochemical processes at catchment scale; (iv) the biomonitoring of the ecological status of IRES; (v) synergies in IRES research at the European scale, data assemblage and sharing; (vi) IRES management and advocacy training.

scholarly journals Ecological assessment of river networks: From reach to catchment scale

2019 ◽  
Vol 650 ◽  
pp. 1613-1627 ◽  
Author(s):  
Mathias Kuemmerlen ◽  
Peter Reichert ◽  
Rosi Siber ◽  
Nele Schuwirth
Keyword(s):  
Ecological Assessment ◽  
River Networks ◽  
Catchment Scale

Emerging controls of in-stream uptake at the catchment scale

2021 ◽  
Author(s):  
Joni Dehaspe ◽  
Andreas Musolff
Keyword(s):  
Aquatic Ecosystems ◽  
Food Production ◽  
Ecological Status ◽  
Low Frequency ◽  
River Networks ◽  
Catchment Scale ◽  
Stream Network ◽  
Uptake Efficiency ◽  
Wide Range ◽  
Landscape Types

<p>Nitrate (NO<sub>3</sub><sup>-</sup>) and phosphate (PO<sub>4</sub><sup>3-</sup>) inputs to rivers are high in Germany and Europe following energy and food production demands, which can cause harm to aquatic ecosystems and jeopardize drinking water supplies. It is known that permanent and non-permanent nutrient uptake can retain significant amounts of NO<sub>3</sub><sup>-</sup> and PO<sub>4</sub><sup>3-</sup> in river networks, however, there is little knowledge about the mechanistic processes involved and their controlling factors on catchment scales. In this work we apply a data driven analysis using the shape of stable, multi-annual, low frequency concentration-discharge (C-Q) relationships in about 500 German monitoring stations. More specifically, the bending of NO<sub>3</sub><sup>-</sup> C-Q relationship was shown to encode uptake efficiency. We systematically address the effects of light and shading, stream ecological status, land-use, hydrological conditions, stream network configurations and chlorophyll a patterns as potential in-stream processing predictors. This assessment allows us to conclude on dominant controls of NO<sub>3</sub><sup>-</sup> uptake efficiency across a wide range of landscape types.</p>

Impacts of surface elevation on the growth and scaling properties of simulated river networks

Geomorphology ◽  
2001 ◽  
Vol 40 (1-2) ◽  
pp. 37-55 ◽  
Author(s):  
Jeffrey D. Niemann ◽  
Rafael L. Bras ◽  
Daniele Veneziano ◽  
Andrea Rinaldo
Keyword(s):  
Surface Elevation ◽  
River Networks ◽  
Scaling Properties

scholarly journals LUCI-EntEx v1.0: A GIS-based algorithm to determine stream entry and exit points at boundaries of any given shape

2020 ◽  
Author(s):  
Bethanna Jackson ◽  
Rubianca Benavidez ◽  
Keith Miller ◽  
Deborah Maxwell
Keyword(s):  
Case Studies ◽  
Management Practices ◽  
Intrinsic Value ◽  
Cost Effective ◽  
River Networks ◽  
Entry And Exit ◽  
Catchment Scale ◽  
Farm Scale ◽  
The Impact ◽  
Modelling Process

Abstract. Increasing attention is turning to moderating the impact of human activity on the environment, both to preserve the intrinsic value of ecosystems and species for their own sake, and to protect the benefits we derive from nature for future generations. Internationally, various regulations and policies are in place or in development to improve our stewardship of the environment and develop more sustainable and resilient management practices. However, policies formulated at national or regional scales are not always suited to enacting targeted and cost-effective approaches at the local scale due to geoclimatic, topographical, or management constraints. The direct monitoring of the local and upstream impacts of every management unit to determine their net impact is a costly practice, thus emphasising the need for modelling approaches to complement limited on-ground measurements. This paper describes and demonstrates tools (LUCI-EntEx v1.0) that automatically identify the fluvial and terrestrial flow of water in and out of a study area, such as a river that enters a farm that is impacted by upstream management, or terrestrial flow coming from neighbouring property. By identifying the stream entry/exit points, the net impact of land management within the study area can be more easily quantified based on the contribution of neighbouring and upstream areas, aiding in the decision-making process. This algorithm also facilitates the identification of inconsistencies in data such as differences between the legal/official catchment boundaries and the hydrological boundaries determined by the representation of terrain and river networks. If such inconsistencies are not resolved, they can cause further error propagation in later stages of the modelling process. Four case studies of New Zealand management units – two at the farm scale and two at the catchment scale – demonstrate the algorithm's utility in determining fluvial and terrestrial entry/exit points and highlighting potential data inconsistencies. The farm case studies also use the Land Utilisation and Capability Indicator (LUCI) framework to demonstrate how this algorithm can be embedded in other models for further value: in this case, we show its potential to improve predictions and enhance management of nutrients and sediment.

scholarly journals Branching Networks Can Have Opposing Influences on Genetic Variation in Riverine Metapopulations

2019 ◽  
Author(s):  
Ming-Chih Chiu ◽  
Bin Li ◽  
Kei Nukazawa ◽  
Vincent H. Resh ◽  
Thaddeus Carvajal ◽  
...  
Keyword(s):  
Genetic Divergence ◽  
Landscape Connectivity ◽  
Strong Association ◽  
Management Strategies ◽  
Simulation Modelling ◽  
River Networks ◽  
Species Dispersal ◽  
Catchment Scale ◽  
Dispersal Patterns ◽  
Genetic Structuring

AbstractAimFractal networks, represented by branching complexity in rivers, are ubiquitous in nature. In rivers, the number of either distal (e.g., in headwater streams) or confluent (e.g., in mainstems) locations can be increased along with their branching complexity. Distal- or confluent-spatial locations can result in fewer or greater corridor linkages that can alter genetic divergence at the metapopulation scale. These mechanisms underlying the resulting genetic structuring remain poorly understood at the metapopulation scale, particularly in terms of the roles of species-specific dispersal traits. The objective of this study is to mechanistically understand how branching complexity can simultaneously influence genetic divergence in opposite directions.LocationNortheastern JapanMethodsTo evaluate the integrated influences of network complexity and species dispersal on genetic divergence among populations at the catchment scale, we conducted simulation modelling on a mechanistic framework based on Bayesian inference by adapting empirical genetic data from four macroinvertebrate species. Simulations were then done using empirical and virtual species-characteristics on virtual river networks.ResultsOur novel simulation showed that both greater landscape connectivity (resulting from shorter watercourse distance) and greater isolation of distal locations occurred in the more-branched river networks. These two spatial features have negative and positive influences on genetic divergence, with their relative importance varying among different species and dispersal characteristics. Specifically, genetic divergence at the metapopulation scale increased for species having higher downstream-biased dispersal but decreased for species having higher upstream-biased dispersal. Distal populations (e.g., in headwaters) have higher genetic independence when downstream-biased asymmetry is higher.Main conclusionsWe found a strong association between species dispersal and evolutionary processes such as gene flow and genetic drift. This association mediates the pervasive influences of branching complexity on genetic-divergence in the metapopulation. It also highlights the importance of considering species dispersal-patterns when developing management strategies in the face of rapid environmental-change scenarios.

Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2‐D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection

2019 ◽  
Vol 55 (9) ◽  
pp. 7717-7752 ◽  
Author(s):  
Pierfranco Costabile ◽  
Carmelina Costanzo ◽  
Samuele De Bartolo ◽  
Fabiola Gangi ◽  
Francesco Macchione ◽  
...  
Keyword(s):  
Shallow Water ◽  
Flow Patterns ◽  
River Networks ◽  
Water Modeling ◽  
Scaling Properties

scholarly journals Controls on runoff generation and scale-dependence in a distributed hydrologic model

2007 ◽  
Vol 4 (3) ◽  
pp. 983-1029 ◽  
Author(s):  
E. R. Vivoni ◽  
D. Entekhabi ◽  
R. L. Bras ◽  
V. Y. Ivanov
Keyword(s):  
Spatial Organization ◽  
Scale Dependence ◽  
Hydrologic Model ◽  
Distributed Model ◽  
Return Flow ◽  
Runoff Generation ◽  
Catchment Scale ◽  
Scaling Properties ◽  
Infiltration Excess ◽  
Runoff Production

Abstract. Hydrologic response in natural catchments is controlled by a set of complex interactions between storm properties, basin characteristics and antecedent wetness conditions. This study investigates the transient runoff response to spatially-uniform storms of varying properties using a distributed model of the coupled surface-subsurface system, which treats heterogeneities in topography, soils and vegetation. We demonstrate the control that the partitioning into multiple runoff mechanisms (infiltration-excess, saturation-excess, perched return flow and groundwater exfiltration) has on nonlinearities in the rainfall-runoff transformation and its scale-dependence. Antecedent wetness imposed through a distributed water table position is varied to illustrate its effect on runoff generation. Results indicate that transitions observed in basin flood response (magnitude, timing and volume) can be explained by shifts in the surface-subsurface partitioning. An analysis of the spatial organization of runoff production also shows that multiple mechanisms have specific catchment niches and can occur simultaneously in the basin. In addition, catchment scale plays an important role in the distribution of runoff production as basin characteristics (soils, vegetation, topography and initial wetness) are varied with basin area. For example, we illustrate how storm characteristics and antecedent wetness play a dramatic role in the scaling properties of the catchment runoff ratio.

scholarly journals Controls on runoff generation and scale-dependence in a distributed hydrologic model

2007 ◽  
Vol 11 (5) ◽  
pp. 1683-1701 ◽  
Author(s):  
E. R. Vivoni ◽  
D. Entekhabi ◽  
R. L. Bras ◽  
V. Y. Ivanov
Keyword(s):  
Spatial Organization ◽  
Scale Dependence ◽  
Hydrologic Model ◽  
Distributed Model ◽  
Return Flow ◽  
Runoff Generation ◽  
Catchment Scale ◽  
Scaling Properties ◽  
Infiltration Excess ◽  
Runoff Production

Abstract. Hydrologic response in natural catchments is controlled by a set of complex interactions between storm properties, basin characteristics and antecedent wetness conditions. This study investigates the transient runoff response to spatially-uniform storms of varying properties using a distributed model of the coupled surface-subsurface system, which treats heterogeneities in topography, soils and vegetation. We demonstrate the control that the partitioning into multiple runoff mechanisms (infiltration-excess, saturation-excess, perched return flow and groundwater exfiltration) has on nonlinearities in the rainfall-runoff transformation and its scale-dependence. Antecedent wetness imposed through a distributed water table position is varied to illustrate its effect on runoff generation. Results indicate that transitions observed in basin flood response and its nonlinear and scale-dependent behavior can be explained by shifts in the surface-subsurface partitioning. An analysis of the spatial organization of runoff production also shows that multiple mechanisms have specific catchment niches and can occur simultaneously in the basin. In addition, catchment scale plays an important role in the distribution of runoff production as basin characteristics (soils, vegetation, topography and initial wetness) are varied with basin area. For example, we illustrate how storm characteristics and antecedent wetness play an important role in the scaling properties of the catchment runoff ratio.

Integrated Fractional white Noise as an Alternative to Multifractional Brownian Motion

2007 ◽  
Vol 44 (02) ◽  
pp. 393-408 ◽  
Author(s):  
Allan Sly
Keyword(s):  
Stochastic Process ◽  
Brownian Motion ◽  
White Noise ◽  
Gaussian Process ◽  
Discrete Data ◽  
Hölder Exponent ◽  
Scaling Properties ◽  
Multifractional Brownian Motion ◽  
Local Properties

Multifractional Brownian motion is a Gaussian process which has changing scaling properties generated by varying the local Hölder exponent. We show that multifractional Brownian motion is very sensitive to changes in the selected Hölder exponent and has extreme changes in magnitude. We suggest an alternative stochastic process, called integrated fractional white noise, which retains the important local properties but avoids the undesirable oscillations in magnitude. We also show how the Hölder exponent can be estimated locally from discrete data in this model.

Sign in / Sign up

Export Citation Format

Share Document