Spatial characterization of catchment dispersion mechanisms in an urban context

Rossel, Florian; Gironás, Jorge; Mejía, Alfonso; Rinaldo, Andrea; Rodríguez, Fabrice

doi:10.1016/j.advwatres.2014.09.005

Cited by 10 publications

(23 citation statements)

References 49 publications

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“…However, because urban drainage networks often do not follow the elevation gradient, as would be expected in natural river basins, generating a model based on a DEM can produce misleading results and so requires information regarding the structure of the network. In one study of applied fractal river basin analysis (Rodriguez et al 2005), a DEM was used with sewer pipe location data to create a model that gave accurate results for a large urban catchment in France (Rossel et al 2014). Similarly, Blumensaat et al (2012) developed a method to use DEM to create conceptual sewer pipe layouts that were similar to actual layouts with pipe diameters based on catchment characteristics giving SWMM simulation results comparable to observed flow (NSE in the range 0.51-0.73).…”

Section: Further Model Developmentmentioning

confidence: 99%

Modeling Urban Sewers with Artificial Fractal Geometries

Jeffers

Montalto

2018

JWMM

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Sewer models are used to simulate complex urban hydrology. However, the development of empirical models can be difficult given the limited availability of sewer plans and the time required to incorporate the system layout. In contrast, fractal geometries can be used to overcome some of these constraints. In this study, two highly impervious residential urban catchments (54 ha and 24 ha) serviced by a combined sewer in East Boston, Massachusetts are modeled using the Storm Water Management Model (SWMM). Two different modeling techniques are compared. The first is an empirical model using the physical characteristics of the network obtained from municipal sewer maps; the second is an abstract conceptual model incorporating fractal scaling laws often used to describe natural river basins. Both modeling approaches were calibrated with 1 month of empirical 5 min interval sewer flow measurements. The models predicted similar total discharge volumes and peak flows over the course of 10 observed rainfall events (0.5 mm to 12.7 mm). Model resolution was tested by simulating the 54 ha catchment as 1, 10, 24 and 173 subcatchments; accurate simulations could be produced for all of the resolutions.

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Section: Further Model Developmentmentioning

confidence: 99%

Modeling Urban Sewers with Artificial Fractal Geometries

Jeffers

Montalto

2018

JWMM

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“…The representation of surface flowpaths at small scales is critical in hydrological modeling of urban and peri-urban areas. Such representation must consider not only channelized elements, but also the connectivity of impervious and pervious surfaces (Sanzana et al, 2013;Rossel et al, 2014). In small catchments, surface routing is sensitive to the presence of relatively small channels, which can be highly responsive to intense and short rainfall events (Singh, 1995).…”

Section: Introductionmentioning

confidence: 99%

“…In small catchments, surface routing is sensitive to the presence of relatively small channels, which can be highly responsive to intense and short rainfall events (Singh, 1995). Moreover, Rossel et al (2014) showed that the connectivity among pervious and impervious areas affects the magnitude and relative contribution of the different mechanisms that ultimately influence the overall catchment response. Finally, Jankowfsky (2011) showed how the use of inappropriate polygon meshes to represent the terrain affects the correct connectivity of hydrological elements.…”

Section: Introductionmentioning

confidence: 99%

A GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling

Sanzana

Girons

Braud

et al. 2017

Environmental Modelling & Software

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Flowpaths are significantly affected by land use change and engineered elements across urban catchments. Conventional GIS-based tools for extracting drainage networks were not developed for urban terrains. This work presents Geo-PUMMA, a GIS toolbox to generate vectorial meshes for terrain representation in distributed hydrological modeling, and to extract drainage patterns in urban and peri-urban catchments. Geo-PUMMA generates wellshaped Hydrological Response Units (HRUs) and Urban Hydrological Elements (UHEs). The toolbox was used in peri-urban catchments of Chile and France to generate three model meshes with different levels of treatment, and extract and compare their corresponding drainage networks. A recommended mesh is identified, which replicates the main morphological and hydrological features of the reference drainage network, and is able to preserve features at small to medium spatial scales (~ 80-150 m). Overall Geo-PUMMA can be used to represent the terrain in distributed hydrological modeling applied to urban and peri-urban scales. .

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“…During low-intensity rainfall events, the kinematic dispersion of runoff is dominant, whereas geomorphologic dispersion becomes more dominant for larger intensities (Rossel et al, 2014). Extreme events activate the entire catchment (Lana-Renault et al, 2014), whereas some parts do not significantly contribute to runoff during low-intensity and medium-intensity events (López-Vicente et al, 2013a).…”

Section: Introductionmentioning

confidence: 99%

Hydrological Connectivity Does Change Over 70 Years of Abandonment and Afforestation in the Spanish Pyrenees

2016

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Runoff connectivity depends on topography, rainfall, man-made elements (terraces, trails, roads and drainage systems) and vegetation. In this study, we quantified the effects of 70 years of human activities on runoff connectivity in the mountainous Araguás afforested sub-catchment (17·2 ha; Central Spanish Pyrenees). The IC index of hydrological connectivity was chosen to perform this metric over six land use scenarios at high spatial resolution (1 × 1 m of cell size). The current scenario (year 2012) was simulated with three flow accumulation algorithms (MD, MD8 and D8). MD8 was linked with the most frequent hydrological response of the sub-catchment (rainfall intensity and stream flow during 7 years) and generated the most representative pattern of connectivity, especially in the linear landscape elements (LLE). This algorithm was chosen to simulate five past scenarios (1945, 1956, 1973, 1980 and 2006). In all scenarios, the highest connectivity appeared related to trails and roads, as well as to streams and gullies, whereas the lowest appeared related to stonewalls in 1945 and 1956 to hillslopes in 1973, and the following afforestation. Changes in connectivity mainly depended on the changes in the vegetation factor and in a minor way in the total length, spatial location and type of LLE. Afforestation promoted lower and more stable connectivity at both local and catchment scales.

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Spatial characterization of catchment dispersion mechanisms in an urban context

Cited by 10 publications

References 49 publications

Modeling Urban Sewers with Artificial Fractal Geometries

Modeling Urban Sewers with Artificial Fractal Geometries

A GIS-based urban and peri-urban landscape representation toolbox for hydrological distributed modeling

Hydrological Connectivity Does Change Over 70 Years of Abandonment and Afforestation in the Spanish Pyrenees

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