Chulsang Yoo

TL;DR: In this article, a nonparametric kernel estimator was used to estimate the return period of droughts for the Conchos River Basin in Mexico, and the results showed that, for the univariate analysis, the retur...

TL;DR: In this article, a nonparametric method was employed to estimate the joint distribution of drought properties, which allowed a better understanding of the joint probabilistic behavior of droughts beyond the limitation of the univ...

TL;DR: In this paper, the characteristics of spatial and temporal variability of soil moisture field by means of the empirical orthogonal functions (EOFs) were investigated, and the relative roles of various affecting factors (topography, soil properties, vegetation, etc.) to the spatial variability of the soil moisture contents have also been evaluated.

TL;DR: In this article, a hydrological analysis of rainwater harvesting facilities was conducted using a model based on the IHACRES model, where the rainfall, rainfall loss, inflow to the storage tank, tank storage volume, overflow from the tank, and rainwater consumption data were simulated.

TL;DR: In this paper, the authors compared applications of mixed and continuous distribution functions to the theory of entropy for the evaluation of rain gauge networks and found that the optimal number of rain-gathering stations estimated by applying the mixed distribution function was much smaller, but still reasonable, than that estimated by the continuous distribution function; mostly due to the small wet probability and the high coincidence of daily rainfall between rain gauge stations.