Abstract
Abstract. Detailed probabilistic information on the intensity of precipitation in Central Africa is highly needed in order to cope with the risk analysis of natural hazards. In the mountainous areas of Rwanda land slides frequently occur and might cause a heavy toll in human lives. The establishment of Intensity-Duration-Frequency curves for precipitation in Central Africa remains a difficult task as adequate long-term data sets for short aggregation times are usually not available. In 1962 recording raingauges were installed at several stations in Rwanda. According to the climatological procedures in use at that time in Congo, Rwanda and Burundi, maximum monthly and annual precipitation depths for fixed-time durations of 15, 30, 45, 60 and 120 min were determined from the rainfall charts. The data set is completed by the monthly and annual daily precipitation extremes from the non-recording raingauge at the stations. The authors used the dataset to establish the IDF-curves for precipitation at 3 stations in Rwanda having more than 20 yr of operation. The fixed-hour intervals of multiple 15 min require the use of a technique converting data from fixed-time intervals into data of arbitrary starting intervals. Therefore, the van Montfort technique was used.
Highlights
As mathThis formight cause a heavy toll in human lives
And annual precipitation depths for fixed-time dura- more, the van Montfort technique is used to assess directly tions of 15, 30, 45, 60 and 120 min were determined from the the parameters μA and σA of the Gumbel probability distrirainfall charts
That information is highly needed as natural hazards such as landslides are frequently observed in the country no such information was available until now for Rwanda
Summary
As mathThis formight cause a heavy toll in human lives. The establishment mula has proven its adaptability to express IDF-curves for of Intensity-Duration-Frequency curves for precipitation in precipitation under different rainfall regimes. Short-time Annual Maxima (AM) information was data sets for short aggregation times are usually not available. 3, a Gumin use at that time in Congo, Rwanda and Burundi, maximum bel probability distribution is fitted to the AM data. And annual precipitation depths for fixed-time dura- more, the van Montfort technique is used to assess directly tions of 15, 30, 45, 60 and 120 min were determined from the the parameters μA and σA of the Gumbel probability distrirainfall charts. The data set is completed by the monthly and annual daily precipitation extremes from the non-recording butions for A-maxima ofE15a, r3t0h, 6S0 myisntaendm1-day. The authors used the dataset to establish the IDF-curves 2 Data and climate. Dynamics for precipitation at 3 stations in Rwanda having more than 20 yr of operation.
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