Estimation of the significant wave height in the nearshore using prediction equations based on the Response Surface Method. (1st April 2018)
- Record Type:
- Journal Article
- Title:
- Estimation of the significant wave height in the nearshore using prediction equations based on the Response Surface Method. (1st April 2018)
- Main Title:
- Estimation of the significant wave height in the nearshore using prediction equations based on the Response Surface Method
- Authors:
- Ti, Zilong
Zhang, Mingjin
Wu, Lianhuo
Qin, Shunquan
Wei, Kai
Li, Yongle - Abstract:
- Abstract: Response Surface Method (RSM) is introduced to develop prediction equations in order to estimate nearshore wave height from offshore wave data when the nearshore measurement data were not available or sufficient. The main idea of introducing RSM and developing such prediction equations is to gain a practical and fast estimation of nearshore wave height for a specific region as a substitute for the time-consuming and sophisticated numerical wave model in the case of long-term wave estimation or frequent wave forecasts. A numerical wave model and a semi-analytic fit model derived from the wave energy flux conservation equation were used to fit the response surface of nearshore wave height and develop the prediction equations. The Haitan Strait located in the nearshore area of China East Sea was selected as the studying area. A series of measured wave data obtained from an offshore buoy and 2 nearshore ultrasonic wave gauges from 30th October 2015 to 28th March 2016 were taken as an example. The predictions given by the proposed equations have correlation coefficients of more than 0.85 and root mean square errors of less than 0.19m which are very reasonable when the equations are considered to be concise, efficient and practical. Highlights: Response Surface Method is introduced to study the offshore-nearshore relationship of ocean waves. New prediction equations of nearshore significant wave height for a specific location are developed. A concise and efficient fitAbstract: Response Surface Method (RSM) is introduced to develop prediction equations in order to estimate nearshore wave height from offshore wave data when the nearshore measurement data were not available or sufficient. The main idea of introducing RSM and developing such prediction equations is to gain a practical and fast estimation of nearshore wave height for a specific region as a substitute for the time-consuming and sophisticated numerical wave model in the case of long-term wave estimation or frequent wave forecasts. A numerical wave model and a semi-analytic fit model derived from the wave energy flux conservation equation were used to fit the response surface of nearshore wave height and develop the prediction equations. The Haitan Strait located in the nearshore area of China East Sea was selected as the studying area. A series of measured wave data obtained from an offshore buoy and 2 nearshore ultrasonic wave gauges from 30th October 2015 to 28th March 2016 were taken as an example. The predictions given by the proposed equations have correlation coefficients of more than 0.85 and root mean square errors of less than 0.19m which are very reasonable when the equations are considered to be concise, efficient and practical. Highlights: Response Surface Method is introduced to study the offshore-nearshore relationship of ocean waves. New prediction equations of nearshore significant wave height for a specific location are developed. A concise and efficient fit model is proposed for response surface fitting. The proposed prediction equations can reduce significant computational time. … (more)
- Is Part Of:
- Ocean engineering. Volume 153(2018)
- Journal:
- Ocean engineering
- Issue:
- Volume 153(2018)
- Issue Display:
- Volume 153, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 153
- Issue:
- 2018
- Issue Sort Value:
- 2018-0153-2018-0000
- Page Start:
- 143
- Page End:
- 153
- Publication Date:
- 2018-04-01
- Subjects:
- Wave prediction -- Response Surface Method -- Fit model -- Wave measurement -- Wave transformation -- MIKE21 SW
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2018.01.081 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21513.xml