Hydrology, Free Full-Text

Estimating intensity−duration−frequency (IDF) curves requires local historical information of precipitation intensity. When such information is unavailable, as in areas without rain gauges, it is necessary to consider other methods to estimate curve parameters. In this study, three methods were explored to estimate IDF curves in ungauged areas: Kriging (KG), Inverse Distance Weighting (IDW), and Storm Index (SI). To test the viability of these methods, historical data collected from 31 rain gauges distributed in central Chile, 35° S to 38° S, are used. As a result of the reduced number of rain gauges to evaluate the performance of each method, we used LOOCV (Leaving One Out Cross Validation). The results indicate that KG was limited due to the sparse distribution of rain gauges in central Chile. SI (a linear scaling method) showed the smallest prediction error in all of the ungauged locations, and outperformed both KG and IDW. However, the SI method does not provide estimates of uncertainty, as is possible with KG. The simplicity of SI renders it a viable method for extrapolating IDF curves to locations without data in the central zone of Chile.

Hydrological models for climate-based assessments at the watershed

B R Chahar Ground Water Hydrology Download Pdf - Colaboratory

Hydrologic Cycle Definition, Process & Diagram - Video & Lesson

QGIS for Hydrological Applications Book by Locate Press

Geosciences, Free Full-Text

Integrated surface and groundwater models for hydrological studies

Background: TMS

Hydrologic cycle - Energy Education

Hydrology for Engineers (McGraw-Hill by Linsley, Ray K.

PPT - Hydrology PowerPoint Presentation, free download - ID:379622

Soil hydrology in the Earth system