Abstract

To reduce hydrological disasters, it is necessary to operate rain gauge stations at locations where the spatio-temporal characteristics of rainfall can be reflected. Entropy has been widely used to evaluate the designs and uncertainties associated with rain gauge networks. In this study, the optimal rain gauge network in the Daegu and Gyeongbuk area, which requires the efficient use of water resources due to low annual precipitation and severe drought damage, was determined using conditional and joint entropy, and the selected network was quantitatively evaluated using the root mean square error (RMSE). To consider spatial distribution, prediction errors were generated using kriging. Four estimators used in entropy calculations were compared, and weighted entropy was calculated by weighting the precipitation. The optimal number of rain gauge stations was determined by calculating the RMSE reduction and the reduction ratio according to the number of selected rain gauge stations. Our findings show that the results of conditional entropy were better than those of joint entropy. The optimal rain gauge stations showed a tendency wherein peripheral rain gauge stations were selected first, with central stations being added afterward.

Highlights

  • There has been a significant increase in cases of damage caused by natural disasters globally, due to an increase in extreme weather events caused by climate change

  • Due to limited annual precipitation, the Daegu and Gyeongbuk area is susceptible to severe drought damage [2]

  • In order to focus on places with little rainfall in each region, 1-regional precipitation was applied as a weight, as opposed to regional precipitation

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Summary

Introduction

There has been a significant increase in cases of damage caused by natural disasters globally, due to an increase in extreme weather events caused by climate change. Some of the major causes of socioeconomic damage on the Korean Peninsula are natural disasters related to drought, home rain, flooding, and flooding of dams [1]. In particular, are a type of natural disaster that can cause long-term damage. Due to limited annual precipitation, the Daegu and Gyeongbuk area is susceptible to severe drought damage [2]. To respond to the risk of such damage, it is important to efficiently utilize and manage water resources through hydrological analysis. The efficient management of water resources can counteract rain-related natural disasters. Water resources can be efficiently managed by identifying information about the rainfall characteristics by basin and the spatial distribution of rainfall. Water resources can be managed using rain information

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