Discovery of hydrometeorological patterns

Authors

METE ÇELİK
FİLİZ DADAŞER ÇELİK
AHMET ŞAKİR DOKUZ

DOI

10.3906/elk-1210-20

Abstract

Hydrometeorological patterns can be defined as meaningful and nontrivial associations between hydrological and meteorological parameters over a region. Discovering hydrometeorological patterns is important for many applications, including forecasting hydrometeorological hazards (floods and droughts), predicting the hydrological responses of ungauged basins, and filling in missing hydrological or meteorological records. However, discovering these patterns is challenging due to the special characteristics of hydrological and meteorological data, and is computationally complex due to the archival history of the datasets. Moreover, defining monotonic interest measures to quantify these patterns is difficult. In this study, we propose a new monotonic interest measure, called the hydrometeorological prevalence index, and a novel algorithm for mining hydrometeorological patterns (HMP-Miner) out of large hydrological and meteorological datasets. Experimental evaluations using real datasets show that our proposed algorithm outperforms the naïve alternative in discovering hydrometeorological patterns efficiently.

Keywords

Data mining, hydrometeorological pattern, association rule mining, ydrological databases, meteorological databases

First Page

840

Last Page

857

Recommended Citation

ÇELİK, METE; ÇELİK, FİLİZ DADAŞER; and DOKUZ, AHMET ŞAKİR (2014) "Discovery of hydrometeorological patterns," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 22: No. 4, Article 3. https://doi.org/10.3906/elk-1210-20
Available at: https://journals.tubitak.gov.tr/elektrik/vol22/iss4/3