- IWRM module - modelling exercise - TU Dresden · - IWRM module - modelling exercise J. Tränckner...
Transcript of - IWRM module - modelling exercise - TU Dresden · - IWRM module - modelling exercise J. Tränckner...
- IWRM module -
modelling exercise
J. Tränckner1, B. Helm1
M. Leidel2, L. Krusche3
1) Institute of Urban Water Management, 2) Institute of Hydrology and Meteorology, 3) tutor, student of hydrology
organization
• 5 units at 3 dates: 2x 16.05., 1.5x 06.06., 1.5x 27.06• content: introduction, model set up,
calibration, evaluation, scenarios
• cooperation in announced groups: exercise, excursion (30.05/01.06), report
• report: 15-25 pp., 40% of module grade• content: modelling documentation and
evaluation, excursion documentation • identifiable sections
introduction – what is IWRM
“a process which promotes the coordinated development and management of water, land and related resources, in order to maximize the resultant eco-nomic and social welfare in an equitable manner without compromising the sustainability of vital ecosystems.” 1)
• multipe sectors
• and / or multiple objectives
• and / ormultiple stakeholders
1) Technical Committee of the Global Water Partnership
Schanze & Biegel (2004, modified 2011)Schanze & Biegel (2004, modified 2011)
introduction – why do we model in IWRM
• consistent framework for data interpretation
• system understanding lectures T. Petzoldt, P. Krebs
• quantifiable and ratable output for decision making
• scenario evaluation see future lectures
0
200
400
600
1980 1985 1990 1995 2000 2005
TP[t/a]
0
2000
4000
6000
DIN [t/a]
observed phosphormodeled phosphorobserved nitrogenmodeled nitrogen
0
3000
6000
9000
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
DIN [t/a]
atm. deposition erosionsurface runoff tile drainagegroundwater WWTPssettlements
introduction- modeling principles
• model (in sciences): abstracted representation of the real world, covering its relevant aspects
• numerical models for matter emission and fluxes:• solution of equations for matter
generation, transport and conversion
• different degrees of spatial distribution, temporal resolution and process description
• purpose-driven selection and application
• integration of different models for sub-systems
Straße 1 Nachklärung
-C-
inflowConstant
yout3
To Workspace4
yN_eff
To Workspace3
yGes_eff
To Workspace2
yVK_eff
To Workspace1yIN
To Workspace
Terminator
Temp
15
T
asm1tmQin
qw Qout
Qw
x
Sctrl
Scope
141000
Sauerstoffzufuhr m³/d
120000
QRSsoll
P
Pump
PC
0
P(tot)
NO NH
WWTP Lviv (VK + Biologie + NK)Version 1.1
Tue Apr 13 10:50:03 2010** Tage Einfahrzeit7 Tage Kalibrierung
start: 30/08/09 00:00:00 = 73415end: 19-Oct-2009 = 734065
Opt. Settings: - rasFlow: 2806
- Vbb: 15600 m³
M
Mixer2M
Mixer1
MechThick1
Manual Switch2
Manual Switch1
Manual Switch
In1Out1Out2
Luftregler
GlobalT
[GlobalT]
2q1minm3d.ma
From File3
m0temp.mat
From File2
m2tn5min.mat
From File1
m2co1min.mat
From File
[GlobalT]
Primary data
ASM1mFracASM1
DO
2804
Constant2
ASM1tmQin qairT
Qe
BB
QRAS
ДобротвірDobrotvir
Кам’Янка Kamyanka
Зах.
Буг
Wes
tern
Bug
Полтва Poltva
Золочівка Zolochivka
ЛьвівLviv
БуськBusk
СасівSasiv
RWQM1
SWAT / SWMM / OGS ASM
SWAT1:200.000
MONERIS
PWF-LU
SWAT1:10.000 rural hot
spot
urban hot spot
CCLMregional climate
temp. resolution 3 h
PWF-LUland use plotwater balance
SWATriver catchment
temporal resolution 1 d
MONERISriver catchment
temporal resolution 1 a
SWMMurban system and water body
temporal resolution: dynamic
OGSsoil and groundwater
temporal resolution: dynamic
RWQM1water body (biology, chemistry)
temporal resolution: dynamic
ASMwaste water treatment plant
temporal resolution: dynamic
CCLM
ДобротвірDobrotvir
Кам’Янка Kamyanka
Зах.
Буг
Wes
tern
Bug
Полтва Poltva
Золочівка Zolochivka
ЛьвівLviv
БуськBusk
СасівSasiv
RWQM1
SWAT / SWMM / OGS ASM
SWAT1:200.000
MONERIS
PWF-LU
SWAT1:10.000 rural hot
spot
urban hot spot
CCLMregional climate
temp. resolution 3 h
PWF-LUland use plotwater balance
SWATriver catchment
temporal resolution 1 d
MONERISriver catchment
temporal resolution 1 a
SWMMurban system and water body
temporal resolution: dynamic
OGSsoil and groundwater
temporal resolution: dynamic
RWQM1water body (biology, chemistry)
temporal resolution: dynamic
ASMwaste water treatment plant
temporal resolution: dynamic
CCLM
WWTP
introduction – modeling procedure
• Motivation: deficits in water systemse.g.: water supply limitations
• System analysis: relevant system aspects –required complexity, feasible simplicitye.g.: irrigation efficiency monthly balance vs. spatial and temporal soil moisture distribution
• Implementation: chose / combine / develop models and toolse.g.: WEAP, coupled groundwater-SPA models
• Optimization: minimize deviation between modeled and observed variablese.g.: reproduce demand patterns
• Application: system understanding, prognostic usee.g.: water saving potential of measures
no
Objective Targets
Development Set up
Calibration Validation
Evaluation / Measures / Scenarios
Convenient?
Suitable?
Data
ProcessesCriteria
Measures
Suitable?
Convenient?
Utility Analysis
no
no
no
yes
case study – overview
Western Bug:• largest tributary of Vistula river• transboundary basin within the
Ukraine, Poland and, Belarus• high nutrient and organic
loading• controversy about emission
sourcesStudy area:• uppermost 2500 km²• 360 Inh/km², 70% agriculture• severe water quality problems
case study - climate and water
0
40
80
120
Jan Mrz Apr Jun Aug Sep Nov
flux [mm]
P ET0
ETA Q
climate:• temperate, humid, transitional• P 700 mm/a, ETR 500 mm/a,
Q 200 mm/a
water resources:• dense river network / intensely
drained areas• high groundwater tables• multiple exploited aquifers• little pronounced variation of
hydrograph• reservoir for thermal power plant
supply at area outlet drained area
river channel
drainage channel
case study – natural conditions
Land cover:• high portion arable land,
intensive agriculture• urban areas uneven
distributed, 80% Lviv• forests at wetlands and
steep slopes
Topography:• flat – hilly, steep
southern divide
• mostly 140-200 m a.s.l., rims up to 400 m a.s.l.
case study - water management
Urban system Lviv:• by far biggest urban structure• weak receiving water: ~2m³/s ww vs.
~1m³/s natural water
Urban systems:• ailing infrastructure, no reinvestments• only settlements >10 000 inh. with
high connection rates
Rural system:• low / no connection to services• water supply and ww disposal to
quaternary aquifer
case study – affected systems
anaerobic river sediment
river water quality deficits
0 50 200 400 600 8000
20
40
60
80
100
min: max: median: mean:
0799105150
NO3 - [mg/L]
Per
cent
ile [%
]
100nitrate in well water
L'viv
Bus'k
Zolochiv
Kamianka Buska
settlement
TN emission [t/a]9 - 100
101 - 200
201 - 500
501 - 1000
1001 - 2000
0 10 205 km
nitrogen emission in subcatchments
case study - stakeholders
• good ecological stateenvironmental NGO
• compliance of limit valuesenvironmental agency
• thermal pollution of river• river water for cooling (qualityand quantity)
thermal power plant
stakeholder requirements pressures
urban population • groundwater for supply• opt. river water for supply
• wastewater to river
rural population • groundwater for supply • wastewater to groundwater
industry • groundwater for supply• opt. river water for supply
• wastewater to river
agriculture • fertilizer excess to groundwaterand river water
background layer to visualize catchmentinformation or as base for editing tasksSchematic View/Element Window / Middle
Window• add a raster or vector layer:
• right click middle window• select: “Add Raster Layer” or “Add Vector Layer”.
• dialog: • name of layer file • storage location (local / www)
Menu /General/ Set Area Boudaries• Find new boudaries
insert map layer
Save your area
document the progress of model set up and calibration with commented model versions
Menu / Area / Save Version• Select “Save Version”
• comment dialog to describe this version.• Auto-storage of all related sub-files• storage location: WEAP program installation folder.
Menu / Area / Manage Areas• Select “Manage Areas”
• export and import • back up and restore• repair function
Draw a river
Schematic view / Element Window / River• Draw the rivers with higher order first• Click on the “River” symbol in the Element window • Drag the symbol into to the map• Click once for finishing each river segment• Double click to finish drawing the river.
• Name the rivers.
Set up the groundwater
Schematic view / Element Window / Groundwater• Click on the “Groundwater” symbol in the element
window • drag the symbol into the map.
Schematic view / Element Window / Transmission Link• Build a “Transmission Link” from groundwater to the
River (Supply Preference 1)• (later) “Transmission Link” from groundwater to the
city/commune (Supply Preference 1)• (later) Infiltration/Runoff Link from the runoff model to
the groundwater. (Supply Preference 1)
Set up the runoff model
Schematic View/ Element Window/ Catchment• Create a “Catchment” object in the Schematic view to
simulate headflow for the catchment area.• Once positioned, a dialog box will open and request the
following data:
Runoff to Main River Represents Headflow Yes (check box) Infiltration to link the prop. GWIncludes Irrigated Areas No (Default) Demand Priority 1 (default)
Cities and communes
Schematic View/ Element Window/ Demand Site• Pull one demand node symbol for every city and
commune you need into the project area and position it on the map.
Schematic View/ Element Window/ Transmission Link• create a “Transmission Link” from the Groundwater
to the consumers.
Schematic View/ Element Window/ Return Flow• create a “Return Flow” from consumers to the
accordant river/Groundwater
hydrology in WEAP
surface water balance: FAO RR-Methodinput: precipitation P, reference evaporation ET0
direct runoff: R(d) = k(d) * Peffective precipitation: P(eff) = P – R(d)potential evaporation: ETP = k(c) * ET0actual evaporation: ETA = min(ETP, P(eff))runoff: R = P(eff) – ETAinfiltrating runoff: R(inf) = k(inf) * Rsurface runoff: R(s) = R(d) + (1-k(inf)) * R
balance: P = ETA + R(s) + R(inf)
calibration: k(d), k(c), k(inf)
hydrology in WEAP
direct runoff coefficient k(d)• higher in steeper and
more impervious areas
crop coefficient k(c)• plant activity
(transpiration) and increased active surface (leave area)
• scaling parameter for land cover types
infiltration coefficient k(inf)• higher in flatter terrain,
permeable soils
0.0
0.5
1.0
1.5
Jan Mrz Mai Jun Aug Sep Nov
k(c)
urban forestagriculture (corn) wetlandwater
k(d)
A(imp) (Maidment, 2005)
hydrology in WEAP
groundwater: wedged storage unit
equilibrium storage: S(Ge) = d(G) * h(Ge) * l(w) * n water table diff.: y(Gi) =(S(Gi) – S(Ge)) / (d(G) * l(w) * n)seepage: R(Gi) = k(s) * y(Gi) / d(G) * h(w) * l(w)
balance: gradient areaS(Gi) = S(Gi-1) + R(infi) – R(Gi) – Extr.
calibration:d(G), h(w), n, k(s)
d(G)
l(w)
h(w)h(Ge)
y(G)
Catchments
Data ViewSet Model to FAO Model
Data View/ Demand Sites And Catchments/ Name/ Land Use
• Fill in the area, crop coefficient and effective precipitation for the catchment area
Data View/ Demand Sites And Catchments/ Name/ Climate
• Import the precipitation and evapotranspiration data to the runoff models
• To import the file, use the “ReadFromFile” function
Groundwater
Data View/Supply and Resources/ Groundwater/ Physical/ Method• Select Groundwater method to “Model GW-SW
flows”• Fill in all given Groundwater values
Data View/Supply and Resources/ River/ Name/ Reaches/Reach Length• link the proper GW model with the accordant river
reach• Enter also the length of interface
River data
Data View/Supply and Resources/ River/ Name/ Reaches/Physical/ Distance Marker• Fill in the river length by choosing „Tailflowpoint“
Data View/Supply and Resources/ River/ Name/ Reaches/Physical/ Flow Stage Width• Also enter the river profile by using the „Flow-
Stage-Width Wizzard“ in “Flow Stage Width”