Connectivity of overland flow by drainage network expansion in a rain forest catchment

2014 ◽  
Vol 50 (2) ◽  
pp. 1457-1473 ◽  
Author(s):  
Beate Zimmermann ◽  
Alexander Zimmermann ◽  
Benjamin L. Turner ◽  
Till Francke ◽  
Helmut Elsenbeer
2018 ◽  
Vol 45 (18) ◽  
pp. 9614-9622
Author(s):  
Mohsen Cheraghi ◽  
Andrea Rinaldo ◽  
Graham C. Sander ◽  
Paolo Perona ◽  
D. A. Barry

2005 ◽  
Vol 39 (3) ◽  
pp. 215-219 ◽  
Author(s):  
Shoji NOGUCHI ◽  
Abdul Rahim NIK ◽  
Makoto TANI

1984 ◽  
Vol 11 (3) ◽  
pp. 530-541
Author(s):  
Alan A. Smith ◽  
Joseph P. Falcone

Many programs that are used for storm water management are intended primarily for analysis or simulation. The MIDUSS program facilitates the design of conveyance or detention storage elements in a tree network. The program is command driven and allows the design to proceed in a traditional manner by allowing the user to define individual subcatchments to generate the overland flow. The resulting hydrographs may be manipulated and used to design pipe and pond elements of a drainage network. The user can experiment with alternative trial designs.As the design proceeds, a file records the data input and design decisions made by the user. This file may be used in subsequent design sessions during which the user may switch from manual (i.e., keyboard) to automatic (i.e., file) input. This allows continuation of a previous design session, testing of a prior design with a different storm, or redesign of specific elements of the system.In either mode, the user can monitor progress at each step and take corrective action in the event of bad data or incorrect design decisions. Key words: computer, design, storm water, sewer, detention, pond.


Geosciences ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. 288 ◽  
Author(s):  
Javier Fernández-Pato ◽  
Pilar García-Navarro

Numerical simulation of mixed flows combining free surface and pressurized flows is a practical tool to prevent possible flood situations in urban environments. When dealing with intense storm events, the limited capacity of the drainage network conduits can cause undesirable flooding situations. Computational simulation of the involved processes can lead to better management of the drainage network of urban areas. In particular, it is interesting to simultaneuously calculate the possible pressurization of the pipe network and the surface water dynamics in case of overflow. In this work, the coupling of two models is presented. The surface flow model is based on two-dimensional shallow water equations with which it is possible to solve the overland water dynamics as well as the transformation of rainfall into runoff through different submodels of infiltration. The underground drainage system assumes mostly free surface flow that can be pressurized in specific situations. The pipe network is modeled by means of one-dimensional sections coupled with the surface model in specific regions of the domain, such as drains or sewers. The numerical techniques considered for the resolution of both mathematical models are based on finite volume schemes with a first-order upwind discretization. The coupling of the models is verified using laboratory experimental data. Furthermore, the potential usefulness of the approach is demonstrated using real flooding data in a urban environment.


2013 ◽  
Vol 5 (3) ◽  
Author(s):  
Gabriel Minea

AbstractThe purpose of this paper is to identify areas with high flash-flood potential based on an evaluation of physiographic factors controlling the formation of surface runoff. The research method relies on the use of the Flash Flood Potential Index (FFPI), which incorporates physiographic characteristics from the catchment (terrain slope, profile curvature, land use and soil texture). The spatial distribution of the physiographic factors (which contribute to the creation, control and concentration within the drainage network of the overland flow) and the classified zoning of areas according to their hydrological response were achieved with GIS techniques. The results obtained show that physiographic factors on 227 sq km (29%) favor surface runoff on slopes and its localization towards the drainage network. Notably, the highest values of FFPI belong to the lower part of the catchment, where high human population density can be found, reflecting an increased vulnerability to floods and inundations of this area.


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