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Developing a precipitation dataset for mine closure modelling using Intensity-Duration-Frequency curves

British Columbia Mine Reclamation Symposium; University of British Columbia. Norman B. Keevil Institute of Mining Engineering

Among the inputs for many hydrology-based environmental models is a sub-daily precipitation record. Ideally, site-specific precipitation records are used in developing the model, though in practice these records may not exist. The natural next step to this impediment is to develop a ‘best available dataset’ using precipitation records reporting from the smallest possible radius around the site. A straightforward and transparent approach to developing a ‘best available dataset’ is presented using a site in western Alberta and stations reporting from the surrounding region. Inverse distance weighting of return periods from Intensity-Duration-Frequency curves developed from areas bounding the site provided a simple way to evaluate the ‘best available dataset’. Large precipitation events recorded in the dataset may be compared to return periods calculated for the site to determine if additional events should be generated. The final ‘best available dataset’ was more representative of site conditions as compared to unmodified nearby precipitation records when judged against site-specific return periods calculated using inverse distance weighting. The inverse distance weighting method creates opportunities to use landscape evolution modelling as a reclamation planning tool where site-specific, sub-daily precipitation records do not exist.

Conference Paper

eng

Vancouver : University of British Columbia Library

10.14288/1.0402759

Non UBC

Other

DSpace