Showing 1 - 7 of 7
Snow depth records from daily measurements at climatological stations were obtained from Environment Canada and were processed and analyzed. It was identified that there are 549 stations, each with at least 20 years of useable annual maximum snow depth data. Both the Gumbel distribution and...
Persistent link: https://www.econbiz.de/10010995731
In this paper the scaling hypotheses are applied to annual maximum series of rainfall depth for different rainfall duration to derive the depth–duration–frequency (DDF) curve. It is shown that, based on the empirically observed scaling properties of rainfall and some general assumptions...
Persistent link: https://www.econbiz.de/10010996098
An annual series of maximum dailyrainfall extending through 1860–1995, i.e., 136 years,was extracted from the archives of a meteorologicalstation in Athens. This is the longest rainfall recordavailable in Greece and its analysis is required forthe prediction of intense rainfall in Athens,...
Persistent link: https://www.econbiz.de/10010846736
Rotondi and Pagliano considered the problem of identifying periods with different seismicity levels as a multiple-changepoint problem: after having estimated the complete part of the historical catalog related to a seismic source zone, inference was made about the number and the location of k...
Persistent link: https://www.econbiz.de/10010995568
In this paper, we consider a Markov renewal process (MRP) to model tropical cyclones occurred in Bangladesh during 1877–2009. The model takes into account both the occurrence history and some physical constraints to capture the main physical characteristics of the storm surge process. We...
Persistent link: https://www.econbiz.de/10010949722
An adaptive, conceptual model for real-time flood forecasting of the Tiber river in Rome is proposed. This model simulates both rainfall-runoff transformations, to reproduce the contributions of 37 ungauged sub-basins that covered about 30% of the catchment area, and flood routing processes in...
Persistent link: https://www.econbiz.de/10010996564
Fitting probability distributions to hydrologic data samples is widely used for quantile estimation purposes. The estimated quantile (X^<Subscript>T</Subscript>) is related to a return period (T). The confidence interval associated with each of the estimates has been calculated empirically, up until now, supposing...</subscript>
Persistent link: https://www.econbiz.de/10010996694