Next Article in Journal
Variability of Trends in Precipitation across the Amazon River Basin Determined from the CHIRPS Precipitation Product and from Station Records
Next Article in Special Issue
Estimating Rainfall Design Values for the City of Oslo, Norway—Comparison of Methods and Quantification of Uncertainty
Previous Article in Journal
Using GRanD Database and Surface Water Data to Constrain Area–Storage Curve of Reservoirs
Open AccessArticle

Web-Based Tool for the Development of Intensity Duration Frequency Curves under Changing Climate at Gauged and Ungauged Locations

1
Faculty of Engineering, Western University, London, ON N6G 1G8, Canada
2
National Research Council Canada, Ottawa, ON K1A 0R6, Canada
3
Institute for Catastrophic Loss Reduction, Toronto, ON M5C 2R9, Canada
*
Author to whom correspondence should be addressed.
Water 2020, 12(5), 1243; https://doi.org/10.3390/w12051243
Received: 29 March 2020 / Revised: 23 April 2020 / Accepted: 24 April 2020 / Published: 27 April 2020
Rainfall Intensity–Duration–Frequency (IDF) curves are among the most essential datasets used in water resources management across the globe. Traditionally, they are derived from observations of historical rainfall, under the assumption of stationarity. Change of climatic conditions makes use of historical data for development of IDFs for the future unreliable, and in some cases, may lead to underestimated infrastructure designs. The IDF_CC tool is designed to assist water professionals and engineers in producing IDF estimates under changing climatic conditions. The latest version of the tool (Version 4) provides updated IDF curve estimates for gauged locations (rainfall monitoring stations) and ungauged sites using a new gridded dataset of IDF curves for the land mass of Canada. The tool has been developed using web-based technologies and takes the form of a decision support system (DSS). The main modifications and improvements between version 1 and the latest version of the IDF_CC tool include: (i) introduction of the Generalized Extreme value (GEV) distribution; (ii) updated equidistant matching algorithm (QM); (iii) gridded IDF curves dataset for ungauged location and (iv) updated Climate Models. View Full-Text
Keywords: Intensity–Duration–Frequency Curve; climate change; decision support system; Canada Intensity–Duration–Frequency Curve; climate change; decision support system; Canada
Show Figures

Figure 1

MDPI and ACS Style

Schardong, A.; Simonovic, S.P.; Gaur, A.; Sandink, D. Web-Based Tool for the Development of Intensity Duration Frequency Curves under Changing Climate at Gauged and Ungauged Locations. Water 2020, 12, 1243.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop