Proceedings of the Korea Water Resources Association Conference.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
Note - this is a foreign language paper: KOR
Abstract: Google translate of Abstract: Benford's Law refers to the phenomenon that when numerical data observed in real life is classified according to the first digit, the distribution gradually decreases as the first digit increases. Benford's law has been derived from a general formula and research results have been presented that can be expanded and applied to various digits, and its effectiveness has been confirmed in numerical data in various fields such as accounting, social science, physics, computer science, and biology. It is effectively used to quickly and easily detect data manipulation or perform primary data quality checks in large amounts of real-life data simply by analyzing the observation frequency of digits. In this study, in terms of multidisciplinary research, Benford's law, a mathematical and physical law, is applied to various hydrological measurement data such as daily flow to confirm its applicability and present a methodology that can quickly detect heterogeneity and reliability of the data. I want to do it. Hydrological data goes through official review. Although the reliability of the data has been secured, it takes about two years to confirm and distribute, so user demands for a shorter utilization period continue. Therefore, in this study, we set up a hypothesis as to whether the observed frequency of digits in the data subject to analysis follows the expected digit frequency according to Benford's law, and found statistical significance for goodness of fit through the chi-square test or Kolmogorov-Smirnov (K-S) test. By analyzing, you can roughly judge the reliability of the measurement data quickly and easily. This study is believed to be helpful in making decisions on the development, management, and operation of water resources effectively in the era of big data by attempting a new approach through combining various disciplines.
Bibtex:
@inproceedings{,
AUTHOR={Jung Eun Park and Seung Jin Maeng and Kwang Suop Lim},
TITLE={A study on applicability of the digit frequency analysis to Hydrological Data},
BOOKTITLE={Proceedings of the Korea Water Resources Association Conference},
YEAR={2023},
URL={https://koreascience.kr/article/CFKO202323654228720.pdf},
}
Reference Type: Conference Paper
Subject Area(s): Environmental Sciences, Natural Sciences