Literature DB >> 19215966

An advanced modelling tool for simulating complex river systems.

Ana Rosa Trancoso1, Frank Braunschweig, Pedro Chambel Leitão, Matthias Obermann, Ramiro Neves.   

Abstract

The present paper describes MOHID River Network (MRN), a 1D hydrodynamic model for river networks as part of MOHID Water Modelling System, which is a modular system for the simulation of water bodies (hydrodynamics and water constituents). MRN is capable of simulating water quality in the aquatic and benthic phase and its development was especially focused on the reproduction of processes occurring in temporary river networks (flush events, pools formation, and transmission losses). Further, unlike many other models, it allows the quantification of settled materials at the channel bed also over periods when the river falls dry. These features are very important to secure mass conservation in highly varying flows of temporary rivers. The water quality models existing in MOHID are base on well-known ecological models, such as WASP and ERSEM, the latter allowing explicit parameterization of C, N, P, Si, and O cycles. MRN can be coupled to the basin model, MOHID Land, with computes runoff and porous media transport, allowing for the dynamic exchange of water and materials between the river and surroundings, or it can be used as a standalone model, receiving discharges at any specified nodes (ASCII files of time series with arbitrary time step). These features account for spatial gradients in precipitation which can be significant in Mediterranean-like basins. An interface has been already developed for SWAT basin model.

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Year:  2009        PMID: 19215966     DOI: 10.1016/j.scitotenv.2009.01.015

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Influence of siloxane on the transport of ZnO nanoparticles from different release pathways in saturated sand.

Authors:  Sung Hee Joo; Marc Knecht; Chunming Su; Seokju Seo; Randy Lawrence
Journal:  RSC Adv       Date:  2016       Impact factor: 3.361

2.  An integrated fuzzy-based advanced eutrophication simulation model to develop the best management scenarios for a river basin.

Authors:  Rallapalli Srinivas; Ajit Pratap Singh
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-14       Impact factor: 4.223

  2 in total

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