Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake

The Huguangyan Maar Lake is caused by a volcanic eruption. The original sediments at the bottom of the lake are natural yearbooks for the evolution of the earth’s climate and environment. A multi-beam sonar technique is used to scan the full coverage on the lake surface to get fine samples of echoes...

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Main Authors: Zhang Peizhen, Wang Bin, Fan Jun
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2019/32/matecconf_fcac2019_04004.pdf
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spelling doaj-4fba8f7792954e0fa51ed74446d33ec52021-03-02T09:26:14ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012830400410.1051/matecconf/201928304004matecconf_fcac2019_04004Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar LakeZhang Peizhen0Wang Bin1Fan Jun2Ocean Acoustic Laboratory, College of Electronic and Information Engineering, Guangdong Ocean UniversityState key Laboratory of Ocean Engineering, Shanghai Jiaotong UniversityState key Laboratory of Ocean Engineering, Shanghai Jiaotong UniversityThe Huguangyan Maar Lake is caused by a volcanic eruption. The original sediments at the bottom of the lake are natural yearbooks for the evolution of the earth’s climate and environment. A multi-beam sonar technique is used to scan the full coverage on the lake surface to get fine samples of echoes form the lake bottom. The information of the bathymetric data of the lake bottom is accurately described and the results of three-dimensional geomorphology imaging are given. The results show that the lake is divided into two parts, east and west, by a north-south underwater volcanic wall, and the maximum depth of water is over 22 meters. We apply a texture feature extraction method based on multi-scale fractal dimension to describe the characteristics of the sediments and roughness. Multi-scale fractal dimensions algorithm is used to extract waveform characteristics of depth samples in different directions. General distribution of sediment at the bottom of the lake is distinguished by the width of multi-scale fractal spectrum. The results obtained can be helpful for the estimation of the physical properties of sediments.https://www.matec-conferences.org/articles/matecconf/pdf/2019/32/matecconf_fcac2019_04004.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Peizhen
Wang Bin
Fan Jun
spellingShingle Zhang Peizhen
Wang Bin
Fan Jun
Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake
MATEC Web of Conferences
author_facet Zhang Peizhen
Wang Bin
Fan Jun
author_sort Zhang Peizhen
title Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake
title_short Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake
title_full Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake
title_fullStr Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake
title_full_unstemmed Experiment and interpretation of geomorphological detection by multi-beam sonar in Huguang-yan Maar Lake
title_sort experiment and interpretation of geomorphological detection by multi-beam sonar in huguang-yan maar lake
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2019-01-01
description The Huguangyan Maar Lake is caused by a volcanic eruption. The original sediments at the bottom of the lake are natural yearbooks for the evolution of the earth’s climate and environment. A multi-beam sonar technique is used to scan the full coverage on the lake surface to get fine samples of echoes form the lake bottom. The information of the bathymetric data of the lake bottom is accurately described and the results of three-dimensional geomorphology imaging are given. The results show that the lake is divided into two parts, east and west, by a north-south underwater volcanic wall, and the maximum depth of water is over 22 meters. We apply a texture feature extraction method based on multi-scale fractal dimension to describe the characteristics of the sediments and roughness. Multi-scale fractal dimensions algorithm is used to extract waveform characteristics of depth samples in different directions. General distribution of sediment at the bottom of the lake is distinguished by the width of multi-scale fractal spectrum. The results obtained can be helpful for the estimation of the physical properties of sediments.
url https://www.matec-conferences.org/articles/matecconf/pdf/2019/32/matecconf_fcac2019_04004.pdf
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