Details
| Translated title of the contribution | Stochastic simulation of daily lows for reservoir planning considering climate change |
|---|---|
| Original language | German |
| Pages (from-to) | 247-254 |
| Number of pages | 8 |
| Journal | Hydrologie und Wasserbewirtschaftung |
| Volume | 59 |
| Issue number | 5 |
| Publication status | Published - 1 Jan 2015 |
Abstract
Optimal planning of multi-purpose reservoir systems requires long-term simulations of reservoir dynamics. Usually, stochastically generated discharge time series of long duration are used as input for these planning models. Here, daily flow time series are generated simultaneously for five streamlow gauges of a reservoir system in the Harz Mountains. For this purpose, the k-nearest neighbour (k-nn) bootstrap method is employed. Observed streamlow data are repeatedly resampled with reference to observed and simulated climate data. This procedure also allows streamlow simulation for future climate conditions. Validation was implemented by comparing observed and simulated streamlow statistics. All statistics considered have been well reproduced and clear climate change signals produced.
ASJC Scopus subject areas
- Environmental Science(all)
- Water Science and Technology
Sustainable Development Goals
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In: Hydrologie und Wasserbewirtschaftung, Vol. 59, No. 5, 01.01.2015, p. 247-254.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Stochastische Simulation täglicher Abflüsse für die Speicherplanung unter Berücksichtigung von Klimaänderungen
AU - Haberlandt, Uwe
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Optimal planning of multi-purpose reservoir systems requires long-term simulations of reservoir dynamics. Usually, stochastically generated discharge time series of long duration are used as input for these planning models. Here, daily flow time series are generated simultaneously for five streamlow gauges of a reservoir system in the Harz Mountains. For this purpose, the k-nearest neighbour (k-nn) bootstrap method is employed. Observed streamlow data are repeatedly resampled with reference to observed and simulated climate data. This procedure also allows streamlow simulation for future climate conditions. Validation was implemented by comparing observed and simulated streamlow statistics. All statistics considered have been well reproduced and clear climate change signals produced.
AB - Optimal planning of multi-purpose reservoir systems requires long-term simulations of reservoir dynamics. Usually, stochastically generated discharge time series of long duration are used as input for these planning models. Here, daily flow time series are generated simultaneously for five streamlow gauges of a reservoir system in the Harz Mountains. For this purpose, the k-nearest neighbour (k-nn) bootstrap method is employed. Observed streamlow data are repeatedly resampled with reference to observed and simulated climate data. This procedure also allows streamlow simulation for future climate conditions. Validation was implemented by comparing observed and simulated streamlow statistics. All statistics considered have been well reproduced and clear climate change signals produced.
KW - Climate conditions
KW - Discharge
KW - Optimal planning of reservoir systems
KW - Reservoir planning
KW - Stochatic simulation
UR - http://www.scopus.com/inward/record.url?scp=84969857971&partnerID=8YFLogxK
U2 - 10.5675/HyWa-2015,5-5
DO - 10.5675/HyWa-2015,5-5
M3 - Artikel
AN - SCOPUS:84969857971
VL - 59
SP - 247
EP - 254
JO - Hydrologie und Wasserbewirtschaftung
JF - Hydrologie und Wasserbewirtschaftung
SN - 1439-1783
IS - 5
ER -