Abstract

Designing hydraulic structures, such as culverts, bridges, weirs, and check dams, while planning new flood inundation areas, needs correct assessment of design discharges. In gauged catchments with long time series of discharges, statistical methods are commonly used based on fixed theoretical distributions and on empirical distributions. However, in ungauged catchments, this approach is not possible. In addition to more advanced methods, which are used today, e.g., rainfall–runoff models, much more simple approaches are still needed based on regionalization and empirical models. Thus, the objective of this work is to develop a new empirical model for calculating peak discharge expressed as the median of annual peak discharge (QMED). The innovative aspect of this paper is the use of a new parameter, named landscape hydric potential (LHP), as a descriptor of water storage in catchments. LHP has a crucial role as the descriptor of water storage in catchment and, thus, it has an influence on forming discharges. The work was done in the Upper Vistula basin in the Polish Carpathians. This study was carried out in mountain catchments located in the Upper Vistula basin, in the south part of Poland in in the Polish Carpathians. Results show that the proposed model could provide appropriate calculations in changing climate conditions, as well as when land use is changed. The proposed model is simple and effective; for calculating QMED, it needs only two parameters: catchment area and LHP. Since the model has a significant and high correlation coefficient, it could be used for assessing of QMED in ungauged mountain catchments. The determined form of the empirical equation finds application in the entire Upper Vistula basin, for catchments with a surface area from 24 km2 up to 660 km2.

Highlights

  • Designed peak discharges are crucial hydrological parameters often used in designing hydraulic structures like culverts, bridges, orifices, and weirs when planning flood inundation areas [1]

  • The objective of this paper is to develop a new empirical model for calculating peak discharge, expressed in terms of median of annual peak discharges (QMED ) in the Upper Vistula basin within

  • The proposed method is simple contrary to others which are used at the moment, and it might be very useful for river catchment managers, especially in places where fast decisions are needed for catchment intervention

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Summary

Introduction

Designed peak discharges are crucial hydrological parameters often used in designing hydraulic structures like culverts, bridges, orifices, and weirs when planning flood inundation areas [1]. Even if hydrologists use observed time series of peak discharges, values of quantiles of peak discharges will have errors, mainly for lowest probabilities In this case, a properly fit empirical distribution of discharges to a theoretical distribution that is based on the best statistical distribution is widely used in calculation [6]. For ungauged catchments, empirical methods are commonly used for the frequency of peak discharges based on the correlation between the physiographic and meteorological characteristics of the catchment and the flood flows. This correlation is usually described by multiple regression equations [7,8]. Meteorological characteristics that are often considered as independent variables include various rainfall parameters, snowmelt, evaporation, temperature, and wind [10]

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