Data Mining Process for Integrated Evaporation Model
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VIEW THE REPLYPublication: Journal of Irrigation and Drainage Engineering
Volume 135, Issue 1
Abstract
The purpose of this study is to develop an integrating evaporation estimation model using a data mining process for the Lakes District in the southern part of Turkey. Lakes Eğirdir, Kovada, and Karacaören Dam are located in the Lakes District. The proposed data mining process is applied on these lakes for evaporation estimation. The daily pan evaporation data used in the data mining process are taken from State Hydraulic Works in southern Turkey. These data cover an period between 1998 and 2005 inclusively for daily pan evaporation of Lakes Eğirdir, Kovada, and Karacaören Dam. It is known that a developed integrated daily pan evaporation model is necessary for these lakes, which are so important to the Lakes District. Therefore, a data mining model having two inputs and one output is developed. Input parameters used in the developed models for Lakes Eğirdir, Kovada, and Karacaören Dam were daily pan evaporation values of Lakes Kovada + Karacaören Dam, Lakes Eğirdir + Karacaören Dam, and Lakes Eğirdir Kovada, respectively. As a result, in comparing the developed models with measured daily pan evaporation values, the REP tree model has better agreement with measured daily pan evaporation than other models. The results show the developed model was more accurate.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 135 • Issue 1 • February 2009
Pages: 39 - 43
Copyright
© 2009 ASCE.
History
Received: May 7, 2007
Accepted: May 26, 2008
Published online: Feb 1, 2009
Published in print: Feb 2009
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