With the rapid development of the economy, PM2. 5 severely harms human health and
social development. In this paper, a novel hybrid hourly PM2. 5 prediction model, named …

The access to clean and drinkable water is becoming one of the major health issues
because most natural waters are now polluted in the context of rapid industrialization and …

Accurate estimation of reservoir water level fluctuation (WLF) is crucial for effective dam
operation and environmental management. In this study, seven machine learning (ML) …

The accurate and efficient prediction of chlorophyll-a (Chl-a) concentration is crucial for the
early detection of algal blooms in reservoirs. Nevertheless, predicting Chl-a concentration in …

Integrating numerical weather forecasts that provide ensemble precipitation forecasts, land
surface hydrological modeling that resolves surface and subsurface hydrological processes …

The present study investigates the synergistic performance of the three-dimensional
electrochemical process to decolourise methyl orange (MO) dye pollutant from xenobiotic …

Accurately capturing reservoir dispatching rules is crucial for mitigating carbon emissions
and preventing flooding and inundation. However, the short operational duration of certain …

The selection of an appropriate number of inputs, known as Sliding window length (SWL) for
influent wastewater quality time series forecasting, has been a topic of research for several …

Short-term forecasting of time series is an important research topic, which involves data
characteristic capture and intelligent reasoning. For this topic, the Gaussian polynomial …

Most accidents in a chemical process are caused by abnormal or deviations of the process
parameters, and the existing research is focused on short-term prediction. When the early …