Incorporating daily rainfalls to derive rainfall DDF relationships at ungauged sites in Hong Kong and quantifying their uncertainty

摘要: Rainfall depth-duration-frequency (DDF) relationships are essential inputs for the design and management of various hydrosystem infrastructures (e.g., urban drainages, dams, dykes, etc.). In many cases, rainfall DDF required at a location where there is no gauge. However, due to presence intrinsic randomness precipitation process, limited record, spatial interpolation, derived ungauged sites subject uncertainty. This especially true in Hong Kong with regard record length. To enhance utilization available data, daily precipitation-based generation framework conventional rain gauges has been developed by authors utilizing scaling model. this article, methodological extended derive sites. Owing nonlinearity complexity modeling exact statistical features difficult obtain. study, Harr’s probabilistic point estimation method, known its computational simplicity accuracy, applied quantify uncertainty Kong. For illustration, four locations different geographical considered. The results show that associated estimated moments annual maximum significant contributing overall relationships.