Non-homogeneity of hydrometric data and estimating the rating curve

IF 0.8 Q4 WATER RESOURCES
Teresa Jakubczyk, W. Szulczewski
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引用次数: 0

Abstract

One of the main tasks of contemporary hydrology is to plot the best possible rating curve, which has numerous applications in practical hydrological problems. The quality of the curve depends to a significant degree on the precision of hydrometric measurements and the precision in determining the relationship between discharge and the stage (water level). In this study, we engage the multidimensional problem of non-homogeneity of hydrometric data. The distances between a given point of measurement and the given cross-section proved to be highly diverse. Hence, we propose data transformation so that every measurement can be treated as taken in a given cross-section. The transformation allows partial homogenization of measurement data. An automatic non-linear method for estimating the rating curve is also proposed. The method has been tested on selected representatives of mountain, submontane, and lowland rivers of the Oder River catchment basin (Lower Silesia, Poland). Cross-sections selected for analysis were: Łąki on the Barycz R iver, Lądek Zdrój on the Biała Łądecka R iver, Jelenia Góra on the Bóbr River, Jakuszyce on the Kamienna River, and Łozy on the Kwisa River.
水文资料的非均匀性及评价曲线的估计
当代水文学的主要任务之一是绘制可能的最佳评级曲线,这在实际水文问题中有许多应用。曲线的质量在很大程度上取决于水文测量的精度和确定流量与水位(水位)之间关系的精度。在本研究中,我们涉及水文数据的非均匀性的多维问题。在给定的测量点和给定的横截面之间的距离证明是高度多样化的。因此,我们提出数据转换,使每一个测量可以被视为在一个给定的横截面。该变换允许测量数据的部分均匀化。本文还提出了一种自动估计额定曲线的非线性方法。该方法已在奥得河流域(波兰下西里西亚)的山地、亚山地和低地河流的选定代表中进行了测试。选择用于分析的断面为:Barycz R河的Łąki、Biała Łądecka R河的Lądek Zdrój、Bóbr河的Jelenia Góra、Kamienna河的Jakuszyce和Kwisa河的Łozy。
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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