El-Sayed [9] used isopluvial map approach to develop rainfall IDF curves for ungauged sites.
The recently developed Rainfall Erosivity Database at European Scale (REDES) and a statistical approach used to spatially interpolate rainfall erosivity data have the potential to become useful knowledge to predict future rainfall erosivity based on climate scenarios.
In addition, it can be confirmed based on the research that dimensioning of enclosed structures should rely on using the critical precipitation generated as the characteristics of a synthetically developed rainfall vary dynamically in time.
Venezuela's government has promised to put a high priority on developing a rainfall monitoring network, coupled with an early warning system for the Ávila Mountains, where thousands still make their homes along banks carved out by the mudflows or on crumbling hillsides.
The discipline is constructive in developing the rainfall threshold for debris flow activity in remote mountainous areas that lack data.
The current study demonstrates the potential use of wavelet neural network (WNN) for river flow modeling by developing a rainfall-runoff model for Malaprabha basin in India.
This paper uses empirical method to develop the rainfall thresholds for landslides on the Irish Rail network earthworks.
The tropical wave from which Alex developed produced rainfall across the Greater Antilles in the central Caribbean Sea.
Subsequently, in recent years, advancements in the EVT helped the researchers to propose a method for developing non-stationary rainfall IDF curve by modelling trend present in the observed extreme rainfall series using covariate.
Based on recent theoretical developments in the Extreme Value Theory (EVT), recent studies proposed a methodology for developing non-stationary rainfall IDF curve by incorporating trend in the parameters of the Generalized Extreme Value (GEV) distribution using Time covariate.
