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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
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