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The River Basin Explorer A modelling tool for river basin planning in Turkey
Clara Chrzanowski ([email protected]) &
Marieke Fennema ([email protected])
Delft Software Days 2015
November 2nd 2015
Bűyűk Menderes catchment
E. Meijers E. Meijers
Water body classes
Artificial
Heavily modified
Natural
Basin: 24873 km²
E. Meijers
E. Meijers
INDUSTRIES Largeherds.co.nz AGRICULTURE
RESERVOIRS E. Meijers
River Basin Explorer
0D-RIBASIM
GIS maps
Networks
Meteo
Flow
Hydrology Ecology
Species
EQR
EKF
Ecological
knowledge rules
PUNN
WFD-Explorer
Loads
Substances
Processes
Water Quality
WFD Explorer schematization
Emissions
Retention
Workflow of modelling activities
WFD Explorer schematization
Hydrology
(RIBASIM) Domestic Industrial Diffuse
Model
results Monitoring data
Calibrate, validate
Import
flows
Ecological
Module
Ecological
Key Factors
Measures
Ecology
Hydrology
RIBASIM is a water balance tool, able to match water demands and
supplies.
Objective: to prepare the hydrological input for the WFD-Explorer
providing
• flow through all the WFD water bodies
• In a dry, a wet and a normal year
• On a quarterly basis
Used in WFD-Explorer:
• To calculate transport of pollutants
• To assess difference between natural and artificial flow regime
RIBASIM – WFD-Explorer coupling
Water bodies = Surface water
units
WFD Explorer schematization
Hydrology
(RIBASIM) Domestic Industrial Diffuse
Emissions
Model
results Monitoring data
Calibrate, validate
Import
flows
Retention
Ecological
Module
Ecological
Key Factors
Measures
Water Quality
Ecology
Water Quality
Domestic Industrial Diffuse
Emissions
Animal/ or manure
Land use
Fertilizer
Septic tanks
Treated sewer water (WWTP)
Untreated sewer water
Industrial plants
Regulation tables
• steady state
• Σ Qin = Σ Qout
• Σ Min = Σ Mout + Mretention
• simplified first order decay processes to model retention processes
• seasonal intervals of 4 seasons per year
Point sources Diffuse sources
Focus on nitrogen, phosphorus and COD
WFD Explorer schematization
Hydrology
(RIBASIM) Domestic Industrial Diffuse
Emissions
Model
results Monitoring data
Calibrate, validate
Import
flows
Retention
Ecological
Module
Ecological
Key Factors
Measures
Water Quality
Ecology
Calibration (1): TP
1. Hydrological analysis:
• Add flows per capita in RIBASIM
• Minimal outflow of Cine reservoir
Calibration (2): TP
2. Time dependent diffuse sources
• They come with the runoff of the land
• Peak in winter season
Calibration (3): TP
3. Add decay:
• First order decay for TN, TP and COD (k =0.01 d-1)
• Related to residence time
Calibration (4): TP
4. Add temperature:
• Decay is dependent on water temperature:
k = k20 * theta(T-20) with theta = 1.047
Monitoring locations for validation/calibration
WQ Results Downstream: near Soke
WQ Results Upstream: Denizli tributary
07-21-00-002
TN: Modeled (2010) vs. Observed (2010)
Factor = Modelled / Observed:
• Green: good aggreement
• Pink: Moderate aggreement
(underestimate)
• Red: Bad agreement (underestimate)
WFD Explorer schematization
Hydrology
(RIBASIM) Domestic Industrial Diffuse
Emissions
Model
results Monitoring data
Calibrate, validate
Import
flows
Retention
Ecological
Module
Ecological
Key Factors
Measures
WQ and Ecology
Ecology
Ecological knowlegde rules WFD-Explorer
EQR = f (KF) Ecological quality ratio : WFD (0-1) expression of ecological quality for
different biological groups (fish, macrophytes, algae, ...)
Key factors for ecology: most determining factors for ecological water
quality (country specific Turkey, NL)
Function calculated with the use of a deep learning network
-PUNN (product unit neural network)
-Regression trees
-Standard neural network
Predicts the effect of
measures
Ecological knowlegde rules WFD-Explorer
EQR = f (KF) Ecological quality ratio : WFD (0-1) expression of ecological quality for
different biological groups (phytoplankton, phytobentos, macro-
invertebrates, macrophytes, fish)
Water Framework Directive:
European directive on
(ecological) water quality
Ecological knowlegde rules WFD-Explorer
PUNN: product-unit neural network
(deep lakes)
K
F
E
Q
R
Training set and validation set
Ecological knowlegde rules WFD-Explorer
Work steps to derive ecological knowledge rules:
- Water types clustering (enough data)
- Key factors for ecology
- Gather EQR data (WFD monitoring) and build up a data matrix
- PUNN calculations to determine ecological knowledge rules
- Expert validation
- Implementation in the WFD explorer
Ecological knowlegde rules WFD-Explorer
Water type clustering & key factors for ecology
Turkish ecology experts from:
Universities
Ministry
Monitoring departments
Water institutes
Several experts sessions to determine
which measurable factors influence eco-
logical water quality the most, and to
define clusters of water types
Ecological knowlegde rules WFD-Explorer
Water type clustering & key factors for ecology
rivers lakes
fast flowing , high rivers
fast flowing perma-nent low
fast flowing temporal low
Slow flowing rivers
Deep lakes (saline and fresh)
COD X X X X X
Temperature X X X X
tot-N X X
tot-P X X
Modifications X X X X
Conductivity X X
Toxic elements X X X X X
Artificial flow regime
X X X X
Suspended solids X X X X X
Ecological knowlegde rules WFD-Explorer
Results:
Phyto-plankton
Phyto-benthos
Macro-phytes
Macro invertebrates
Fish
Deep lakes -
Fast flowing high rivers ++ ++ +
Fast, low and permanent rivers
++ +/- +
Slow flowing rivers ++ +/- + +
Fast, low and temporal rivers
++ + +
Ecological knowlegde rules WFD-Explorer
EQR at slow flowing rivers
Training set Test set perc. inside 0.10
RMSE coeff. of determ.
perc. inside 0.10
RMSE coeff. of determ.
Phytobenthos 92 % 0.044 0.94 83 % 0.064 0.89
Conclusions of the Buyuk Menderes project
• Data availability and accessibility is an issue!
• First step in creating a River Basin Management model
• Model is not perfect can be improved
• Hydrological improved rainfall runoff concepts
• Emissions and water quality use of monitoring data of point
sources
• Ecology enhanced EKF, more data to train PUNN
• Model can be used to:
• Evaluate relative contribution of different sources
(domestic/industrial/agriculture)
• Identify and evaluate measures
Stakeholder process
• Explanation use of models in water resource management
• Dutch water board: use of WFD-Explorer in Dutch measure
strategies
• Use of model to determine strategies with stakeholders
Questions
?