RAIN DISTRIBUTION IN A MOUNTAINOUS WATERSHED

Authors
Citation
A. Loukas et Mc. Quick, RAIN DISTRIBUTION IN A MOUNTAINOUS WATERSHED, Nordic hydrology, 24(4), 1993, pp. 225-242
Citations number
NO
Categorie Soggetti
Water Resources
Journal title
ISSN journal
00291277
Volume
24
Issue
4
Year of publication
1993
Pages
225 - 242
Database
ISI
SICI code
0029-1277(1993)24:4<225:RDIAMW>2.0.ZU;2-V
Abstract
The orographic and temporal gradients of rainfall in a mountainous wat ershed in southwestern British Columbia have been analyzed and streamf low has been estimated using a watershed model. The study watershed is the Jamieson Creek watershed located approximately 30 km north of Van couver in the Coastal Mountains. The purpose of the study was to deter mine whether rainfall follows a definable pattern in this mountainous watershed. Regression analysis has been performed for the total rainfa ll depth per event and hourly intensity for the period 1972-1975. Data is taken from the rainfall season of June to mid-November in order to avoid complications of combined rain and snow events. In this analysi s, the rainfall data from a gauge at the lower elevation was used as t he set of independent variables and the data from the other four gauge s in the watershed as dependent variables. The results showed that the rainfall depth per event increased up to the mid-elevation of the wat ershed, and then decreased at the upper elevations. On the other hand, the hourly rainfall intensity was found to decrease with increase of elevation in the watershed, so that longer duration of rainfall events occurs at the middle and upper watershed. The regression equations, d eveloped from the analysis of the distribution of the hourly intensity , were used for the prediction of rainfall events of the years 1976-19 77. The agreement between the predicted and the observed rain was stat istically good. Also, the simulation of the watershed streamflow using the predicted rainfall gave good results. Consequently, because the r ainfall follows a definable distribution as a function of elevation, i t is possible to use data from one station located at the lower elevat ion in combination with the developed predictor equations to accuratel y describe the rainfall over the watershed.