Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1130
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 | Size | Format | |
---|---|---|---|---|
EMA2.pdf | Pre-published version | 141.61 kB | Adobe PDF | View/Open |
Page views
78
Last Week
0
0
Last month
Citations as of May 28, 2023
Downloads
174
Citations as of May 28, 2023
SCOPUSTM
Citations
5
Last Week
0
0
Last month
0
0
Citations as of May 25, 2023
WEB OF SCIENCETM
Citations
5
Last Week
0
0
Last month
0
0
Citations as of May 25, 2023

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