scholarly journals Development and application of a groundwater/surface-water flow model using MODFLOW-NWT for the Upper Fox River Basin, southeastern Wisconsin

2012 ◽  
Author(s):  
D.T. Feinstein ◽  
M.N. Fienen ◽  
J.L. Kennedy ◽  
C.A. Buchwald ◽  
M.M. Greenwood
Keyword(s):  
Surface Water ◽  
River Basin ◽  
Water Flow ◽  
Flow Model ◽  
Surface Water Flow ◽  
Fox River

Simulating moving boundary using a linked groundwater and surface water flow model

2008 ◽  
Vol 349 (3-4) ◽  
pp. 524-535 ◽  
Author(s):  
Dekui Yuan ◽  
Binling Lin ◽  
Roger Falconer
Keyword(s):  
Surface Water ◽  
Water Flow ◽  
Flow Model ◽  
Moving Boundary ◽  
Surface Water Flow

scholarly journals The importance of base flow in sustaining surface water flow in the Upper Colorado River Basin

2016 ◽  
Vol 52 (5) ◽  
pp. 3547-3562 ◽  
Author(s):  
Matthew P. Miller ◽  
Susan G. Buto ◽  
David D. Susong ◽  
Christine A. Rumsey
Keyword(s):  
Surface Water ◽  
River Basin ◽  
Water Flow ◽  
Colorado River ◽  
Base Flow ◽  
Colorado River Basin ◽  
Upper Colorado River Basin ◽  
Surface Water Flow

scholarly journals Surface Water Flow Balance of a River Basin Using a Shallow Water Approach and GPU Parallel Computing; Pescara River (Italy) as Test Case

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 234
Author(s):  
Antonio Pasculli ◽  
Roberto Longo ◽  
Nicola Sciarra ◽  
Carmine Di Nucci
Keyword(s):  
Parallel Computing ◽  
Surface Water ◽  
Shallow Water ◽  
River Basin ◽  
Water Flow ◽  
Numerical Models ◽  
Early Warning Systems ◽  
Test Case ◽  
Calibration And Validation ◽  
Surface Water Flow

The analysis and prevention of hydrogeological risks plays a very important role and, currently, much attention is paid to advanced numerical models that correspond more to physical reality and whose aim is to reproduce complex environmental phenomena even for long times and on large spatial scales. Within this context, the feasibility of performing an effective balance of surface water flow relating to several months was explored, based on accurate hydraulic and mathematical-numerical models applied to a system at the scale of a hydrographic basin. To pursue this target, a 2D Riemann–Godunov shallow-water approach, solved in parallel on a graphical processing unit (GPU), able to drastically reduce calculation time, and implemented into the RiverFlow2D code (2017 version), was selected. Infiltration and evapotranspiration were included but in a simplified way, in order to face the calibration and validation simulations and because, despite the parallel approach, it is very demanding even for the computer time requirement. As a test case the Pescara river basin, located in Abruzzo, Central Italy, covering an area of 813 km2 and well representative of a typical medium-sized basin, was selected. The topography was described by a 10 × 10 m digital terrain model (DTM), covered by about 1,700,000 triangular elements, equipped with 11 rain gauges, distributed over the entire area, with some hydrometers and some fluviometric stations. Calibration, and validation were performed considering the flow data measured at a station located in close proximity to the mouth of the river. The comparison between the numerical and measured data, and also from a statistical point of view, was quite satisfactory. A further important outcome was the capability to highlight any differences between the numerical flow-rate balance carried out on the basis of the contributions of all known sources and the values actually measured. This characteristic of the applied modeling allows better calibration and verification not only of the effectiveness of much more simplified approaches, but also the entire network of measurement stations and could suggest the need for a more in-depth exploration of the territory in question. It would also enable the eventual identification of further hidden supplies of water inventory from underground sources and, accordingly, to enlarge the hydrographic and hydrogeological border of the basin under study. Moreover, the parallel computing platform would also allow the development of effective early warning systems, for example, of floods.

Comparison of surface water flow simulation over structured and unstructured grids

2021 ◽  
Author(s):  
Nivedhitha Ajithkumar ◽  
Prabhakar Alok Verma ◽  
Frank B. Osei ◽  
Hari Shankar
Keyword(s):  
Surface Water ◽  
Water Flow ◽  
Unstructured Grids ◽  
Flow Simulation ◽  
Surface Water Flow
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