Stochastische Simulation täglicher Abflüsse für die Speicherplanung unter Berücksichtigung von Klimaänderungen

authored by

Uwe Haberlandt

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.

Organisation(s)

Institute of Hydrology and Water Resources Management

Type

Article

Journal

Hydrologie und Wasserbewirtschaftung

Volume

59

Pages

247-254

No. of pages

8

ISSN

1439-1783

Publication date

01.01.2015

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Water Science and Technology

Sustainable Development Goals

SDG 13 - Climate Action

Electronic version(s)

https://doi.org/10.5675/HyWa-2015,5-5 (Access: Open)