Imperial College London
Alternate

ProfessorMatthewPiggott

Faculty of Engineering, Department of Earth Science & Engineering

Professor of Computational Geoscience and Engineering
 
 
 
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Contact

 

m.d.piggott Website

 
 
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Location

 

4.82Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{parkinson:2017:10.5194/gmd-10-1051-2017,
author = {parkinson, SD and Funke, SW and Hill, J and Piggott, MD and Allison, PA},
doi = {10.5194/gmd-10-1051-2017},
journal = {Geoscientific Model Development},
pages = {1051--1068},
title = {Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model},
url = {http://dx.doi.org/10.5194/gmd-10-1051-2017},
volume = {10},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Turbidity currents are one of the main drivers ofsediment  transport  from  the  continental  shelf  to  the  deepocean. The resulting sediment deposits can reach hundredsof kilometres into the ocean. Computer models that simulateturbidity currents and the resulting sediment deposit can helpus to understand their general behaviour. However, in orderto recreate real-world scenarios, the challenge is to find theturbidity current parameters that reproduce the observationsof sediment deposits.This paper demonstrates a solution to the inverse sedimenttransportation problem: for a known sedimentary deposit, thedeveloped model reconstructs details about the turbidity cur-rent  that  produced  the  deposit.  The  reconstruction  is  con-strained here by a shallow water sediment-laden density cur-rent model, which is discretised by the finite-element methodand an adaptive time-stepping scheme. The model is differ-entiated using the adjoint approach, and an efficient gradient-based optimisation method is applied to identify the turbidityparameters which minimise the misfit between the modelledand the observed field sediment deposits. The capabilities ofthis approach are demonstrated using measurements taken inthe  Miocene  Marnoso-arenacea  Formation  (Italy).  We  findthat whilst the model cannot match the deposit exactly dueto limitations in the physical processes simulated, it providesvaluable insights into the depositional processes and repre-sents a significant advance in our toolset for interpreting tur-bidity current deposits.
AU  - parkinson,SD
AU  - Funke,SW
AU  - Hill,J
AU  - Piggott,MD
AU  - Allison,PA
DO  - 10.5194/gmd-10-1051-2017
EP  - 1068
PY  - 2017///
SN  - 1991-9603
SP  - 1051
TI  - Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model
T2  - Geoscientific Model Development
UR  - http://dx.doi.org/10.5194/gmd-10-1051-2017
UR  - http://hdl.handle.net/10044/1/44588
VL  - 10
ER  -
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