An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping

Leah E. Trigg; Feng Chen; Georgy I. Shapiro; Simon N. Ingram; Clare B. Embling

doi:10.1016/j.marpolbul.2018.04.034

An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping

Leah E. Trigg^*
, Feng Chen
, Georgy I. Shapiro
, Simon N. Ingram
, Clare B. Embling

^*Corresponding author for this work

School of Biological and Marine Sciences

Loughborough University

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	Marine Pollution Bulletin
Volume	0
Issue number	0
Early online date	3 May 2018
DOIs	https://doi.org/10.1016/j.marpolbul.2018.04.034
Publication status	Published - Jun 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

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10.1016/j.marpolbul.2018.04.034

Supplementary materialOther version, 25.2 MB
Adaptive grid manuscript triggAccepted author manuscript, 26.5 MBLicence: CC BY-NC-ND

Cite this

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title = "An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping",

author = "Trigg, \{Leah E.\} and Feng Chen and Shapiro, \{Georgy I.\} and Ingram, \{Simon N.\} and Embling, \{Clare B.\}",

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T1 - An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping

AU - Trigg, Leah E.

AU - Chen, Feng

AU - Shapiro, Georgy I.

AU - Ingram, Simon N.

AU - Embling, Clare B.

PY - 2018/6

Y1 - 2018/6

UR - https://pearl.plymouth.ac.uk/bms-research/131/

U2 - 10.1016/j.marpolbul.2018.04.034

DO - 10.1016/j.marpolbul.2018.04.034

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SN - 0025-326X

VL - 0

JO - Marine Pollution Bulletin

JF - Marine Pollution Bulletin

IS - 0

ER -

An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping

UN SDGs

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