Quantitative precipitation estimation and rainfall monitoring based on meteorological data, potentially provides continuous, high-resolution and large-coverage data, are of high practical use: Think of hydrogeological risk management, hydroelectric power, road and tourism. Both conventional long-range radars and rain-gauges suffer from measurement errors and difficulties in precipitation estima...

Accurate estimates of precipitation type and amount are important for water management at the Salt River Project (SRP) located in Arizona. The primary focus of water operations at the SRP is management of reservoirs on the Salt and Verde Rivers. Knowledge of precipitation accumulating in watersheds (WSs) has historically been provided by a network of rain gauges located throughout and adjacent ...

Precipitation is a key part of hydrological circulation and sensitive indicator climate change. The Integrated Multi-satellitE Retrievals for the Global Measurement (GPM) mission (IMERG) datasets are widely used global regional precipitation investigations. However, their local application limited by relatively coarse spatial resolution. Therefore, in this paper, an attention mechanism based co...

objective(s): this study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ann) and correlation using experimental data. methods: two-layer perceptron feedforward artificial neural network and backpropagation levenberg-marquardt (bp-lm) training algorithm are used to predict the thermal cond...

Road networks play an essential role in economic activities and are required to have high level of reliability. Heavy precipitation could lead disruptions road networks, causing service failure associated social impacts. In this study, we proposed a framework for assessing the reliability based on historical recorded disruption data. We first developed vulnerability model, which describes relat...