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engineering and is recognized as one of the most widely used methods for reducing dimension of random processes[6] [7] [8] [9]. 3. CASE STUDY AND RESULTS The Qinshitan Reservoir is a major hydraulic facility of the Lijiang River basin in the southwest of China. It is located at the upstream of the Gantang River, which is the largest tributary of the Lijiang River. The Qinshitan Reservoir is operated for agricultural irrigation, power generation and domestic water supply for the city of Guilin[10]. The inflow to the Qinshitan Reservoir is a critical parameter for the operation, however, is associated with large forest error, particularly in flood season. For a period of two weeks during flood season, the ESP of inflow (six different forecasts) to the reservoir varied largely in the magnitude (shown in Fig.1). To represent the uncertainty in the ESP, we treat the ESP for the two weeks as six realizations of the random process of Q(t). By following the steps in the section of Methodology, the eigen-value and eigen-fucntion of the Q(t) are calculated. The first ten eigen-values are illustrated in Fig.2. Fig. 1 ESP of Qingshitang Reservoir de Qingshitang Réservoir 174
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Book of Full Papers Symposium Hydro Engineering
Title
Book of Full Papers
Subtitle
Symposium Hydro Engineering
Author
Gerald Zenz
Publisher
Verlag der Technischen Universität Graz
Location
Graz
Date
2018
Language
English
License
CC BY-NC-ND 4.0
ISBN
978-3-85125-620-8
Size
20.9 x 29.6 cm
Pages
2724
Keywords
Hydro, Engineering, Climate Changes
Categories
International
Naturwissenschaften Physik
Technik
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