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contributor authorS. Naoum
contributor authorI. K. Tsanis
date accessioned2017-05-08T22:29:40Z
date available2017-05-08T22:29:40Z
date copyrightMarch 2004
date issued2004
identifier other46793325.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/81512
description abstractA multiple linear regression (MLR) model, in conjunction with Geographic Information Systems technology, was used to derive the relationship between annual precipitation and elevation, longitude, and latitude. The island of Crete, in Greece, was used as the case study. A multiscale precipitation analysis was performed on areas ranging from large areas (the whole island and the northern, southern, and eastern parts of the island), to medium areas (watersheds), to small areas (sub-basins). While the MLR annual precipitation estimates (which used elevation, latitude, and longitude information) were found to be more reasonable than estimates obtained using elevation only when applied to the whole island, the difference between the MLR estimates and the elevation-only estimates was smaller when applied to individual watersheds. The MLR provides realistic estimates for mean areal precipitation for the island of Crete: 700±100, 950±150, and 1,300±200 mm for dry, average, and wet years, respectively. Elevation-rainfall gradients are: 0.45–0.6, 0.6–0.9, and 0.9–1.3 mm/m for dry, average, and wet years, respectively. Of this, 44% falls on the northern, 33% on the southern, and 23% on the eastern parts of the island for a typical average year.
publisherAmerican Society of Civil Engineers
titleOrographic Precipitation Modeling with Multiple Linear Regression
typeJournal Paper
journal volume9
journal issue2
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)1084-0699(2004)9:2(79)
treeJournal of Hydrologic Engineering:;2004:;Volume ( 009 ):;issue: 002
contenttypeFulltext


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