A method of constructing a dynamic chart depth model for coastal areas

Author:

Guan Minglei123,Tian Chenyang145,Wang Bin14,Ji Fangzheng14,Sun Rui14,Yu Song14,Wang Chongping5,Wang Qi12,Wang Jingzhe12,Zhang Wei12,Zhang Dejin3

Affiliation:

1. Institute of Applied Artificial Intelligence of the Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen Polytechnic, Shenzhen, Guangdong, China

2. School of Artificial Intelligence, Shenzhen Polytechnic, Shenzhen, Guangdong, China

3. Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen, Guangdong, China

4. School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang, Jiangsu, China

5. Institute of Surveying and Mapping, Department of Natural Resources of Guangdong Province, Guangzhou, China

Abstract

The depth is important for vessel navigation at sea. Currently, most vessels use electronic navigation charts to navigate at sea. In coastal areas, especially close to shallow water areas, the dynamic change of the water level is very important to safe navigation. Ships calculate the change of water level by using up-to-date tide tables, to obtain the dynamic water depth in the channels. However, the depth caused by the tide and non-tidal components may reach several meters in some seas, causing the dynamic depth below the safety depth, which can easily lead to grounding of vessels stranding accidents. The channel is regularly dredged to achieve navigational depth. Without regular dredging, the offshore non-channel area becomes the common area of ship grounding. The dynamic chart depth model studied in this article can provide real-time depth, which serves the ships navigation in the non-channel. The model incorporates the chart depth and the dynamic water levels on the same reference datum. The chart depth is from the electronic navigational chart depth. The dynamic water levels are constructed by the simulated tidal levels and continuous series of nontidal residual. We then designed a deviation correction method to reduce the discrepancy of the simulated tidal level with the actual water level, including datum offset correction and residual water level correction. Finally, by merging the revised dynamic water levels with the electronic navigational chart depth, we obtained the dynamic chart depth model of the study region.

Funder

Shenzhen Science and Technology Program

Shenzhen Excellent Science and Technology Innovation Talents Cultivation Program

Youth Fund Program of Shenzhen Polytechnic

Scientific Research Launch Program of Shenzhen Polytechnic

Guangming Laboratory Open Program

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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5. Comparison of tidal model using mike21 and delft 3d-flow in part of Java Sea, Indonesia;Fadlillah;IOP Conference Series Earth and Environmental Science,2020

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