Ramin Bidel; Abdoralsoul Telvari; Masoud Goodarzi
Volume 1, Issue 3 , October 2009, , Pages 189-200
Abstract
Rainfall is one of the main variables to be studied in climatologic studies. Also it is an important variable because of its distribution status both temporally and spatially. In other word, it varies with synoptic patterns. Therefore, river structure designing based on non-native design storm ...
Read More
Rainfall is one of the main variables to be studied in climatologic studies. Also it is an important variable because of its distribution status both temporally and spatially. In other word, it varies with synoptic patterns. Therefore, river structure designing based on non-native design storm suffer from high risk. For more safety, we need to recognize precipitation condition of study area and its temporal patterns. In this study, rainstorms of seven stations in Kermanshah province are studied and after derivation of 2989 storm events, temporal distribution patterns of rainfall by Pilgrim (graphical mean) and Huff (probability) methods were calculated. The examination of rainstorms in all of the stations specified that rainstorms of 1 hour group contain 30 percent and 1 to 6 hour groups more than 80 percent of whole rainstorms as well. Furthermore, the inspection of resulted patterns and distribution quantity in each time quarter showed that 48.21 percent and 7.14 percent of rainstorms in all of the stations and whole groups has reposed in second and fourth quartile respectively. This study shows that 80.35 percent of rainstorms belong to second and third quartile. In regional patterns, 1 to 24 hour groups, second and third quartile contain 75 percent and 25 percent of total rainstorms respectively. According to Huff or probability distribution method, most of the station in short time rainstorms (1 to 6 hour) are second quartile and remaining groups are third quartile. Regional types in this method have similar condition in most groups and are confirmed by median types. Results of comparing these patterns show no correspondence with S.C.S patterns, but IA pattern corresponds with Kernd station. Probability and median have good correlation in the second quartile relatively.
