Abstract Short-term (eg, hourly) urban water consumption (or demand) prediction is of great
significance for the optimal operation of the intelligent water distribution pump stations. In …

Exploring the development and impacts of drought across different ecosystems can offer
new insights for mitigating the adverse effects of drought events. Using the pantropical …

Drought prediction of regional crops during the growth stages can get drought information in
advance and prepare for the response, so as to effectively guide the water-saving irrigation …

This paper aims to obtain a relation for estimating the median size of bed sediment, d 50, at
the bends of meandering rivers based on real data. To achieve such a purpose, field data …

Drought is a serious natural disaster that causes huge losses to various regions of the world.
To effectively cope with this disaster, we need to use drought indices to classify and …

Among various monthly water balance models, one of the models that has the simplest
structure and offers a well-behaved conceptual platform is the GR2M. Despite the …

Predicting water levels in urban storm-water sewer systems is a critical study that could
provide vital information to help reduce the risk of flooding. This study proposed a new …

Graph model for conflict resolution (GMCR) is a robust tool for resolving disagreements
among parties with contradictory interests in a potential conflict. In GMCR, decision-makers …

This study examines probabilistic prediction of the standardized precipitation index (SPI)
categories (ie, dry, normal and wet conditions) in Iran regressed onto the combination of the …

In recent years, the proliferation of machine learning algorithms in drought prediction has
revolutionized the field, leveraging their robust data processing and pattern recognition …