It is critical for surface water management systems to provide early warnings of abrupt, large
variations in water quality, which likely indicate the occurrence of spill incidents. In this study …

The aim of this study was to disaggregate water flow data collected from high resolution
smart water meters into different water end use categories. The data was obtained from a …

Physically-based groundwater models (PBMs), such as MODFLOW, contain numerous
parameters which are usually estimated using statistically-based methods, which assume …

In this study, wavelet-support vector machine (WSVM) is proposed for drought forecasting
using the Standardized Precipitation Index (SPI). In this way, the SPI time series of Urmia …

This paper discusses an attempt to identify the chaotic behavior of the dynamic system of
wind-wave characteristics including significant wave height, wave period and wave direction …

This study employs chaos theory concepts to investigate the complexity and chaotic nature
of surface-generated waves in comparison to steady-flow state. The flows are generated …

In this study, daily river stage–discharge relationship was predicted using different modeling
scenarios. Ensemble empirical mode decomposition (EEMD) algorithm and wavelet …

The aim of residential water end-use studies is to disaggregate water consumption into
different water end-use categories (ie, shower, toilet, etc.). The authors previously developed …

Predicting fast tidal currents can be a challenging task. Unlike tidal water levels, currents can
vary sharply over short distances. The classical approach of harmonic analysis can analyze …

Accurate forecasting of hourly suspended sediment concentration is a critical issue for
reservoir management, especially during typhoon periods. This research proposes a two …