Abstract Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine
the autoregressive and moving average models to a stationary time series after the …

It is important to analyze the nonstationarity of hydrological time series under the influence of
climate change and human activities. Compared with previous studies, this study focuses …

Combining single-species ecological modeling with advanced machine learning to
investigate the long-term population dynamics of the rheophilic fish spirlin offers a powerful …

This study focuses on the assessment of drought severity, employing a comparative analysis
between the normalized multi-band drought index (NMDI; calculated using Sentinel-2 …

Forecasting the occurrence of hydrological drought according to a forecasting system is an
important disaster reduction strategy. In this paper, a new drought prediction model adapted …