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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
Titel
Book of Full Papers
Untertitel
Symposium Hydro Engineering
Autor
Gerald Zenz
Verlag
Verlag der Technischen Universität Graz
Ort
Graz
Datum
2018
Sprache
englisch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-85125-620-8
Abmessungen
20.9 x 29.6 cm
Seiten
2724
Schlagwörter
Hydro, Engineering, Climate Changes
Kategorien
International
Naturwissenschaften Physik
Technik
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