Modelling fine-grained sediment transport in the Mahakam land–sea continuum, Indonesia

Modelling fine-grained sediment transport in the Mahakam land–sea continuum, Indonesia

Pham Van, Chien (Université Catholique de Louvain; Thuyloi University)
Gourgue, Olivier (Vrije Universiteit Brussel; Flanders Hydraulics Research)
Sassi, Maximiliano (NIOZ Royal Netherlands Institute for Sea Research)
Hoitink, Ton (Wageningen University & Research)
Deleersnijder, E.L.C. (TU Delft Mathematical Physics; Université Catholique de Louvain)
Soares-Frazão, Sandra (Université Catholique de Louvain)

2016

SLIM is an unstructured mesh, finite element model of environmental and geophysical fluid flows, which is being improved to simulate fine-grained sediment transport in riverine and marine water systems. A 2D depth-averaged version of the model is applied to the Mahakam Delta (Borneo, Indonesia), the adjacent ocean, and three lakes in the central part of the Mahakam River catchment. The 2D code is coupled to a 1D section-averaged model for the Mahakam River and four tributaries. The coupled 2D/1D model is mainly aimed at simulating fine-grained sediment transport in the riverine and marine water continuum of the Mahakam River system. Using the observations of suspended sediment concentration (SSC) at five locations in the computational domain, the modelling parameters are first determined in a calibration step, for a given
period of time. A validation step is then performed using data related to another period of time. It is concluded that the coupled 2D/1D model
reproduces very well the observed suspended sediment distribution within the delta. The spatial distribution of sediment concentration in the delta
and its temporal variation are also discussed.

Mahakam land–sea continuum
Fine-grained sediment
Finite element model
Coupled 2D/1D model

http://resolver.tudelft.nl/uuid:8b070f7e-0dba-41ed-a27b-dd3f92c760f9

https://doi.org/10.1016/j.jher.2015.04.005

2016-07-03

1570-6443

Journal of Hydro-Environment Research, 13, 103-120

Institutional Repository

journal article

© 2016 Chien Pham Van, Olivier Gourgue, Maximiliano Sassi, Ton Hoitink, E.L.C. Deleersnijder, Sandra Soares-Frazão