地理环境对波兰南部河道水文地质条件的影响

IF 0.4 Q4 ENVIRONMENTAL SCIENCES Geology, Geophysics and Environment Pub Date : 2024-02-22 DOI:10.7494/geol.2024.50.1.93
Lukasz Borek
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引用次数: 0

摘要

河道的水文地貌评估提供了许多有关河床及其周边环境的宝贵信息,包括地理环境因素的影响以及集水区的人为压力。本文介绍了波兰南部三个欧洲生态区域 39 条河道 77 个断面水文地貌条件的多样性:东部平原、中部平原和喀尔巴阡山脉。研究基于河流水文形态指数(HIR)方法和两个子指数:水文形态多样性评分(HDS)和水文形态修正评分(HMS)。为确定地理环境的主要梯度和对 HIR 总变异性贡献最大的变量,进行了基本和多维统计分析。喀尔巴阡山脉生态区的平均 HIR 值最高,然后是中部平原,东部平原最低,分别为 0.70、0.67 和 0.58。喀尔巴阡山脉和东部平原生态区之间的 HIR 值存在显著差异。水文地貌分异受海拔和地质类型的影响最大。通过聚类分析,可以区分出两大类河道--第一类河道以 HMS > HDS 关系变量为主,第二类河道以 HDS > HMS 关系变量为主。多维分析为变量与所研究河段之间的关系提供了更多信息。河床坡度和河床底部自然形态要素的变化对 HIR 最终值的形成产生了最大的积极影响,而抽样检查中观察到的变化则对 HIR 产生了最大的消极影响。
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The impact of the geographical environment on the hydromorphological conditions of watercourses in southern Poland
Hydromorphological assessment of watercourses provides much valuable information about the riverbed and its immediate surroundings, including the influence of geographical environmental factors along with anthropogenic pressures in the catchment area. This paper presents diversity of hydromorphological conditions of 77 sections located on 39 watercourses in southern Poland in three European ecoregions: Eastern Plains, Central Plains and the Carpathians. The study was based on the Hydromorphological Index for Rivers (HIR) method and two sub-indices: Hydromorphological Diversity Score (HDS) and Hydromorphological Modification Score (HMS). Basic and multi-dimensional statistical analyses were performed to identify the main gradients of the geographical environment and the variables that contribute most to the total variability of HIR. The highest mean HIR values were recorded in the Carpathians ecoregion, then in the Central Plains and the lowest in the Eastern Plains, 0.70, 0.67 and 0.58, respectively. Significant differences were found between the Carpathians and Eastern Plains ecoregions in HIR values obtained. Hydromorphological differentiation is most influenced by altitude and geological type. The cluster analysis enabled two main groups of watercourses to be distinguished – the first one was dominated by variables showing HMS > HDS relationship, while the second one was dominated by HDS > HMS relationship. Multi-dimensional analysis provided additional information on the relationships between the variables and the sections studied. The greatest positive impact on the formation of the final HIR value had the variation of the riverbed slope and natural morphological elements of the bed bottom, while the greatest negative impact on HIR had the transformations observed in spot-check.
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