In this section
@article{Hamzehloo:2022:10.1016/j.advwatres.2022.104189,
author = {Hamzehloo, A and Bahlali, ML and Salinas, P and Jacquemyn, C and Pain, CC and Butler, AP and Jackson, MD},
doi = {10.1016/j.advwatres.2022.104189},
journal = {Advances in Water Resources},
title = {Modelling saline intrusion using dynamic mesh optimization with parallel processing},
url = {http://dx.doi.org/10.1016/j.advwatres.2022.104189},
volume = {164},
year = {2022}
}
TY - JOUR
AB - Saline intrusion (SI) in coastal aquifers is a global problem with the potential to contaminate groundwaterused by over a billion people. Numerical modelling of SI in coastal aquifers is a key tool for risk assessment,aquifer management and resource regulation, but is extremely challenging because the mixing zone across thesaline front is often very narrow, extending over metres or 10’s metres, yet the saline front itself may extendlaterally over a large (i.e. many km) three-dimensional (3D) domain. Moreover, the aquifer may be highlyheterogeneous, further complicating the movement and geometry of the front. We test here the use of dynamicmesh optimization (DMO) in a parallel computational framework to simulate SI with higher accuracy and lowercomputational cost compared to fixed-mesh approaches. The framework uses a double control-volume-finite element (DCVFE) method and is implemented in the open-source Imperial College Finite Element ReservoirSimulaTor (IC-FERST), but could be implemented in other FE-based simulators. We confirm accuracy andconvergence using test cases based on the classic ’Henry’ SI problem, demonstrating that solutions obtainedusing DMO require significantly fewer elements and therefore have much lower computational cost comparedto equivalent fixed mesh solutions. We apply the framework to a realistic 3D case study simulating salineintrusion in a heterogeneous chalk aquifer, demonstrating simulation speed-up in excess of 120×. We suggestthat parallelized DMO offers significant advantages over existing methods to simulate SI.
AU - Hamzehloo,A
AU - Bahlali,ML
AU - Salinas,P
AU - Jacquemyn,C
AU - Pain,CC
AU - Butler,AP
AU - Jackson,MD
DO - 10.1016/j.advwatres.2022.104189
PY - 2022///
SN - 0309-1708
TI - Modelling saline intrusion using dynamic mesh optimization with parallel processing
T2 - Advances in Water Resources
UR - http://dx.doi.org/10.1016/j.advwatres.2022.104189
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000805131600006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.sciencedirect.com/science/article/pii/S0309170822000641?via%3Dihub
UR - http://hdl.handle.net/10044/1/113930
VL - 164
ER -