M. Kaltofen, S. Kaden, M. Hentschel, M. Redetzky H. Koch, K. Mazur

Slides:



Advertisements
Similar presentations
GLOWA-Elbe II Statuskonferenz 14. Dez Potsdam Hagen Koch et al., BTU Cottbus Hagen Koch 1, Stefan Kaden 2, Michael Kaltofen 2 1 Brandenburg University.
Advertisements

Green Water Credits Use of quantitative tools to evaluate potential Green Water Credits options Peter Droogers Wilco Terink Johannes Hunink Sjef Kauffman.
PHYSICALLY BASED MODELING OF EXTREME FLOOD GENERATION AND ASSESSMENT OF FLOOD RISK L. S. Kuchment, A. N. Gelfan and V. N. Demidov Water Problems Institute.
LOGO Bangkok, May 2009 Water Resources Management in Ba River Basin under Future Development and Climate Scenarios Presented by: Nguyen Thi Thu Ha Examination.
Regionalisation Volkmar Hartje Technical University of Berlin, Institute for Landscape and Environmental Planning, Berlin, Germany GLOWA-Elbe GLOWA Status.
Water Quality H. Behrendt, M. Grossmann, H. Gömann, U. Mischke, A. Schöll, J. Steidl GLOWA-Elbe GLOWA Status conference 19 May 2005 Cologne Linkages of.
Introduction  Rising temperature and changes in the frequency and magnitude of precipitation events due to climate change (IPCC-AR4 report) are anticipated.
4 th International Symposium on Flood Defence Generation of Severe Flood Scenarios by Stochastic Rainfall in Combination with a Rainfall Runoff Model U.
Antamina Mine Water Management Model Alan Keizur Golder Associates Roberto Manrique Arce Compañia Minera Antamina User Conference 2006 Background The Antamina.
AIACC Regional Study AS07 Southeast Asia Regional Vulnerability to Changing Water Resources and Extreme Hydrological due to Climate Change.
Water Resources Planning and Management Daene C. McKinney River Basin Modeling.
HYDRO- METEOROLOGICAL DATA MANAGEMENT SYSTEM IN VIETNAM Tran Dinh Trong Vietnam Institute of Meteorology, Hydrology and Environment INTERNATIONAL WORKSHOP.
Precipitation statistics Cumulative probability of events Exceedance probability Return period Depth-Duration-Frequency Analysis.
Chapter 3 -Hydrology Hwk#3 - pp ,4,7,11 Hydrologic Cycle Runoff - Ground Surface Water Infiltration - Ground Penetration (percolation) Transpiration.
Engineering Hydrology (ECIV 4323)
Nathan VanRheenen Richard N. Palmer Civil and Environmental Engineering University of Washington Recasting the Future Developing.
Understanding Drought
DHI’s Water Modeling and GIS DHI formally Danish Hydraulic Institute VKI formally Water Quality Institute have merged into DHI - Institute for Water and.
Water availability Stefan Kaden & Michael Kaltofen WASY GmbH, Institute for Water Resources Planning and Systems Research, Berlin, Germany GLOWA-Elbe GLOWA.
By Andrew Lee and Oliver Royle. Definition The Water Cycle, also know as the hydrological cycle, is the journey that water takes through mainly evapotranspiration,
Making sure we can handle the extremes! Carolyn Olson, Ph.D. 90 th Annual Outlook Forum February 20-21, 2014.
Water Resources Planning and Management Daene C. McKinney Simulating System Performance.
Eduardo Mondlane UniversityInstitute for Water Resource, Rhodes University PhD Proposal-Progress Agostinho Vilanculos Supervisors: - Prof. Denis Hughes.
Dr. R.P.Pandey Scientist F. NIH- Nodal Agency Misconception: A DSS takes decisions ---(No)
CE 424 HYDROLOGY 1 Instructor: Dr. Saleh A. AlHassoun.
How feasible is it to obtain water supplies by desalination? By Adam, James and Liam.
A MANAGEMENT SYSTEM FOR OPTIMIZING OPERATING RULES OF MULTIPURPOSE RESERVOIRS ALLOWING FOR BOTH EXTREME FLOODS AND ECOLOGICAL PERFORMANCE 4 th International.
Engineering Hydrology (ECIV 4323)
Higher Hydrosphere Drainage Basins[Date] Today I will: - Know what a drainage basin is - Be able to explain it in terms of inputs, processes or outputs.
What is OASIS? Water resources simulation/optimization model
 Before break, we discussed watersheds and what constitutes a watershed. How do you think water moves through a watershed?
Surface Water Surface runoff - Precipitation or snowmelt which moves across the land surface ultimately channelizing into streams or rivers or discharging.
GoldSim Technology Group LLC, 2006 Slide 1 Water Balance Modeling Techniques.
GLOWA-Elbe II Statuskonferenz 14. Dez Potsdam Horst Gömann, FAL-LR Horst Gömann & Peter Kreins Institute of Rural Studies, Federal Agricultural Research.
Hydrology and application of the RIBASIM model SYMP: Su Yönetimi Modelleme Platformu RBE River Basin Explorer: A modeling tool for river basin planning.
CHALLENGES IN WATER RESOURCES SYSTEMS OPERATION 1 July 2004 B Mwaka Water Resources Planning Systems – User Forum No. 3.
Water Resources Planning and Management Daene C. McKinney System Performance Indicators.
Application of Climate Change research in CAP Planning activities Mohammed Mahmoud Colorado River Programs Central Arizona Project.
MRC-MDBC STRATEGIC LIAISON PROGRAM BASIN DEVELOPMENT PLANNING TRAINING MODULE 3 SCENARIO-BASED PLANNING for the MEKONG BASIN Napakuang, Lao PDR 8-11 December.
Hydrology and application of the RIBASIM model SYMP: Su Yönetimi Modelleme Platformu RBE River Basin Explorer: A modeling tool for river basin planning.
Modeling with WEAP University of Utah Hydroinformatics - Fall 2015.
Conversion of river basin action plans into river basin management plans Conversion of river basin action plans into river basin management plans 9 th.
Hydrology. Content Introduction Precipitation Applications The Hydrologic Cycle Conclusion References.
Where does water come from?. Water Vocabulary Tributary- a small river that joins a larger one Head water- the source of a river River Basin- the land.
WATER RESOURCES DEPARTMENT
ADVANCES IN THE SUSTAINABLE MANAGEMENT OF THE YAQUI RIVER RESERVOIRS SYSTEM OCTOBER 20, 2003.
5th Shire River Basin Conference 22 February 2017 Shire River Basin Management Project Shire Basin Planning Tool Sub-Component A1 Development of a.
Steven Burian and Erfan Goharian Hydroinformatics Fall 2013
2015 National Water Week Event Launch of the WR2012 Website
DROUGHT AND FLOOD Prepared by M. U. Kale Assistant professor Deptt
The effect of climate and global change on African water resources
Ten Reasons to Use South Carolina’s Surface Water Quantity Models
Precipitation-Runoff Modeling System (PRMS)
Engineering Hydrology (ECIV 4323)
Modeling tools Training Module
The Hydrological Cycle
Request for Approval of Cape Fear / Neuse River Basin Hydrologic Model
Why is water important to the health of the planet?
Chapter 3 -Hydrology Hwk#3 - pp ,4,7,11 Hydrologic Cycle
Concepts in Water Resources Management
Environmental modeling application domains
CLIMATE CHANGE IMPACTS ON THE WATER RESOURCES OF GHANA
Engineering Hydrology (ECIV 4323)
Availability of water resources under climate change in SE Europe
Towards a Water Scarcity & Drought Indicator System (WSDiS)
Engineering Hydrology (ECIV 4323)
On the Causes of the Shrinking of Lake Chad
OBJECTIVE HYDROSPHERE
Development and pre-operational testing of a European Flood Alert System (EFAS) Ad de Roo EC, DG Joint Research Centre, Ispra (I)
Presentation transcript:

The water management model WBalMo Elbe - methods, application fields and first results M. Kaltofen, S. Kaden, M. Hentschel, M. Redetzky H. Koch, K. Mazur O. Dietrich, S. Schweigert WASY GmbH BTU Cottbus ZALF

Model System

Contents Contents Methods and instruments for calculation of water resources balance WBalMo Elbe – model development WBalMo Elbe – application fields and first results Conclusions and outlook

Methods and instruments Deterministic P-Q-Model Q P, PET Stochastic Simulation of Meteorological and Hydrological Processes Management Rules, Ranking Rules Deterministic Simulation of Water Use Recording and Statistical Analysis of Systems States (Events)

Methods and instruments Deterministic P-Q-Model Q P, PET Stochastic Simulation of Meteorological and Hydrological Processes Management Rules, Ranking Rules Deterministic Simulation of Water Use Recording and Statistical Analysis of Systems States (Events) Stochastic generated climate series Balancing water yield and water demand within socio-economic context e.g. reliability of water supply or minimum flow

Methods and instruments STAR II Stochastic generated climate series Stochastic Simulation of Meteorological and Hydrological Processes SWIM Balancing water yield and water demand within socio-economic context Deterministic P-Q-Model Q P, PET e.g. reliability of water supply or minimum flow WBalMo Deterministic Simulation of Water Use Management Rules, Ranking Rules Recording and Statistical Analysis of Systems States (Events)

Methods and instruments

WBalMo Elbe – model development: modular structure 22 modules: central module is Elbeschlauch (Elbe main river) each module can be used stand-alone

WBalMo Elbe – model development: water yield is an input from precipitation-runoff-model SWIM: for each simulation sub catchment at its end profile can be an output from WBalMo: at each balance profile at each step of balancing process

WBalMo Elbe – model development: water use -1 1 2 3 4 5 6 7 8 9 10 11 12 13 Mine water drainage ] s / I n f i l t r a t i o n l o s s e s 3 m [ Mine water drainage m i n u s f l t r a o e y t i t n a q r e t a w 03-07 08-12 13-17 18-22 23-27 28-32 33-37 38-42 43-47 48-52 5 - y e a r p i o d s

WBalMo Elbe – model development: water management

WBalMo Elbe – model development: overview

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Water transfer from reservoir Witznitz and Mulde river Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results 9 Discharge profiles Border Czechia/ Germany Dresden Torgau Aken Barby Magdeburg Wittenberge Neu Darchau Wehr Geesthacht 8 7 1 4 2 3 6 5 4 3 2 Selected water uses 1 Waterworks Wienrode Powerplant Lippendorf Powerplant Berlin-Mitte Chemical company DOW Olefinverbund GmbH (plant Schkopau) Evaporation from surface water bodies in Weiße Elster catchment

WBalMo Elbe – application fields and first results

WBalMo Elbe – application fields and first results Wetlands Modeling of water balance in wetlands 35 wetlands integrated into WBalMo Elbe

WBalMo Elbe – application fields and first results Wetlands Change of water withdrawel from period 1 to 10 (median, relating to the wetland area)

Conclusions and outlook Water use conflicts exist both for extreme drought situations and for climate change Water shortages from withdrawals occur in tributaries to Elbe river In the main Elbe river water use conflict is due to minimum discharges for different purposes Outlook For all water users vulnerability for extreme drought situations, for climate and socioeconomic changes will be analyzed, For reservoirs and dams failure in water supply will be analyzed, For most affected water uses water management options will be developed

Thank You for your attention!