Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1130
PIRA download icon_1.1View/Download Full Text
Title: Selection and calibration of numerical modeling in flow and water quality
Authors: Chau, KW 
Issue Date: 2004
Source: Environmental modeling and assessment, 2004, v. 9, no. 3, p. 169-178
Abstract: Numerical modeling is frequently used in coastal engineering research and application. One possible issue associated with using this method however, is that initial outcomes might differ from expectation. Modeling manipulation addresses this issue by changing the initial parameters which in turn affects the final output results.
The advancement of modeling techniques in recent years has seen a gradual but steady accruement of knowledge regarding the relationship between input parameters and possible outputs, which has resulted in improved accuracy and efficiency methods. The advancements within this field have predominantly occurred on an individual basis and as such lack standardisation. An expert numerical modeler may use this knowledge subconsciously, yet may not know how to convey it to the model users. This paper has been written to introduce a systematic intelligent coding schema designed to organise current coastal engineering modeling manipulation knowledge into a standardised format. This system is relevant to the development of appropriate strategies for improved accuracy and efficiency as well as model modification to simulate specific real phenomena in prototype application cases.
Keywords: Numerical modeling
Coastal engineering
Publisher: Springer
Journal: Environmental modeling and assessment 
ISSN: 1420-2026
EISSN: 1573-2967
DOI: 10.1023/B:ENMO.0000049386.31424.9a
Rights: © Kluwer Academic Publishers (Springer). The original publication is available at www.springerlink.com.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
EMA2.pdfPre-published version141.61 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

112
Last Week
0
Last month
Citations as of Apr 14, 2024

Downloads

193
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

5
Last Week
0
Last month
0
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
0
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.