Algorithm-based segmentation of temperature-depth profiles: Examples from a mine

IF 4.8 2区环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-07-14 DOI:10.1016/j.envsoft.2024.106143

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Abstract

Temperature can be a valuable indicator for the identification and quantification of water fluxes in surface and subsurface water bodies. Therefore, the measurement and analysis of vertical temperature profiles is an important part of the characterization of a water body. Besides its easy application and widespread use, the analysis of temperature profiles can be complex due to its nature as a non-stationary measurement in a dynamic system. This work presents a data-based algorithm to process and segment vertical water temperature profiles avoiding subjectivity in the quantitative analysis of these profiles. Special emphasis is given to studying the reproducibility and precision of the method from data acquisition to data processing and analysis. The presented method provides a blueprint for adjacent applications and showcases the explanatory power of vertical profiles of water temperature to study water fluxes.

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基于算法的温度-深度剖面分割：矿井实例

温度是识别和量化地表和地下水体中水流的重要指标。因此，温度垂直剖面的测量和分析是水体特征描述的重要组成部分。除了易于应用和广泛使用之外，由于温度曲线是动态系统中的非稳态测量，其分析可能会比较复杂。本研究提出了一种基于数据的算法，用于处理和分割垂直水温剖面，避免了对这些剖面进行定量分析时的主观性。重点研究了从数据采集到数据处理和分析方法的可重复性和精确性。所提出的方法为邻近的应用提供了蓝图，并展示了水温垂直剖面在研究水流方面的解释力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

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.