Food waste reduction, as a major application area of the Internet of Things (IoT) and big data
technologies, has become one of the most pressing issues. In recent years, there has been …

The hydrogen-enriched natural gas engines (HENGEs) have recently found huge popularity.
Despite the broad range of applications of the HENGE, their environmentally-associated …

Data-driven models are important to predict groundwater quality which is controlling human
health. The water quality index (WQI) has been developed based on the physicochemical …

Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …

Floods, one of the most common natural hazards globally, are challenging to anticipate and
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …

Assessing landslide susceptibility and predicting the possibility of landslide event is the
foundation and prerequisite for emergency response and management of landslide disaster …

Timely and reliable water footprint prediction is imperative and prerequisite to mitigate
climate risk and ensure water and food security and enhance the water-use efficiency. This …

Predicting evaporation is essential for managing water resources in basins. Improvement of
the prediction accuracy is essential to identify adequate inputs on evaporation. In this study …

Accurate forecasts of streamflow (Q flow) are crucial for optimal management of water
reservoir systems and preparing for catastrophic events such as floods. Although several …

The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …