Japanese Journal of JSCE
Online ISSN : 2436-6021
Special Issue (Ocean Engineering)Paper
REPRODUCTION OF EELGRASS DISTRIBUTION BASED ON PHYSICAL CONDITIONS USING GENETIC ALGORITHM
Kota NAKASEAkiyuki UKAI
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2023 Volume 79 Issue 18 Article ID: 23-18097

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Abstract

 Suitable sites for eelgrass can be evaluated from the range of parameters such as depth and Shields number. Using existing data where the eelgrass distribution and physical conditions in the same mesh, line graphs for each parameter for coverage and leaf length, and regarded HSI number string as a set of genetic information. Although the coverage and leaf length distribution could be reproduced qualitatively by 100,000 trials, there were many eelgrasses non-distribution areas, and quantitative problems were observed in the coverage and leaf length.

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© 2023 Japan Society of Civil Engineers
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