A systemic approach to managing uncertainties in repetitive multibeam bathymetric surveys

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-03-01 Epub Date: 2025-01-18 DOI:10.1016/j.envsoft.2025.106333
Gaétan Sauter , Stefano C. Fabbri , Corine Frischknecht , Flavio S. Anselmetti , Katrina Kremer
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Abstract

Multibeam Echo Sounder systems have enhanced the precision of modern bathymetric mapping, enabling the creation of high-resolution digital bathymetry models that characterise ocean and lake floors. However, the inferred models contain uncertainties that necessitate consideration, especially when conducting quantitative temporal comparisons. By exploring the results of two bathymetric surveys targeting a lacustrine delta, this study examines how geomorphological changes can effectively be interpreted through repetitive multi-temporal bathymetric surveys. We propose to use a workflow for Geographic Information System aiming at providing the basis for diverse studies that will implement bathymetric difference maps, also ensuring consistency. The proposed methodology incorporates the use of confidence intervals, based on the estimated uncertainties. The groundwork for interpretation relies on: (i) qualitative display using multivariate choropleth, (ii) quantitative assessment with the calculation of volumes of raw changes in cubic metres (m³), along with confidence intervals (±m³) and (iii) volumetric histograms accompanied with error bars.

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一种管理重复多波束测深测量不确定性的系统方法
多波束回声测深系统提高了现代测深测绘的精度,能够创建高分辨率的数字测深模型,以表征海洋和湖底。然而,推断的模型包含需要考虑的不确定性,特别是在进行定量时间比较时。通过对一个湖泊三角洲的两次测深结果的探索,本研究探讨了如何通过重复的多时间测深有效地解释地貌变化。我们建议在地理信息系统中使用一个工作流,旨在为实现水深差图的各种研究提供基础,同时确保一致性。所提出的方法结合了基于估计不确定性的置信区间的使用。解释的基础依赖于:(i)使用多变量choropleth的定性显示,(ii)计算立方米(m³)原始变化量的定量评估,以及置信区间(±m³)和(iii)带有误差条的体积直方图。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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