Effect of temporal aggregation on the estimate of annual maximum rainfall depths for the design of hydraulic infrastructure systems

For a few decades the local rainfall measurements are generally obtained by tipping bucket sensors, that allow to record each tipping time corresponding to a well-known rain depth. However, a considerable part of rainfall data to be used in the hydrological practice is available in aggregated form within constant time intervals. This can produce undesirable effects, like the underestimation of the annual maximum rainfall depth, H-d, associated with a given duration, d, that is the basic quantity in the development of rainfall depth-duration-frequency relationships. The errors in the evaluation of H-d from data characterized by a coarse temporal aggregation, t(a), and a procedure to reduce the non-homogeneity of the H-d series are here investigated. Our results show that for t(a) = 1 min the underestimation is practically negligible, whereas for larger temporal aggregations with d = t(a) the error in a single Hd can reach values up to 50% and in a series of H-d in the average up to 17%. Relationships between the non-dimensional ratio t(a)/d and the average underestimation of H-d, derived through continuous rainfall data observed in many stations of Central Italy, are presented to overcome this issue. These equations allow to improve the H-d estimates and the associated depth-duration-frequency curves at least in areas with similar climatic conditions. The effect of the correction of the H-d series on the rainfall depth-duration-frequency curves is quantified. Our results indicate that the improvements obtained by the proposed procedure are of the order of 10%. (C) 2017 Elsevier B.V. All rights reserved.