parsimonious hydrological modelling in urban areas...
TRANSCRIPT
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Parsimonious hydrological modelling in urban areas:
Towards integrated modelling
(S. Coutu, D. Del Giudice, L. Rossi, D. A. Barry)
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Why another hydrological model?
Step 1: Definition of the purposes for modelling
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Micropollution: a Worldwide Growing Concern
Micropollutants identified in many countries in the world, across all continents. Feminization of fish due explained by the occurrence of high concentration of hormones (Jobling et al., 1996, Environmental Toxicology and Chemistry) Decline of vulture population in Pakistan explain by ingestion of Diclofenac (Oaks et al., 2004, Nature)
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Selection of model features
Flexibility
Sewage Network & Urban Rivers
Automatic Calibration
Support for further integrated modelling
Fast computation time
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Limits of existing models
Popular existing model (e.g., MOUSE, SWMM, etc) are distributed
More variables --- Require quantities of data --- Computation time
Unfit to integrated modelling
Parsimonious modelling --- Tested rural environment
Ignore the complexity of drainage system
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Map of the presentation
Conceptual description of the model
Calibration &
Validation
Examples of Application for integrated
modelling
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Conceptual description of the model
Calibration &
Validation
Examples of Application for integrated
modelling
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Map of the presentation
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Lumped parsimonious approach is efficient for modeling both urban AND rural watershed
Impervious
Pervious
Subsurface
Precipitation/discharge model (Coutu et al., 2012)
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Precipitation/discharge model (Coutu et al., 2012)
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Precipitation/discharge model (Coutu et al., 2012)
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7 calibration parameters
Reduced to 2 after sensitivity analysis!
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Statistical achievement of baseflow at WWTP
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DA
ILY
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Big thanks to Jordan (2010), e-dric and Ville de Lausanne
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Lumping all CSOs to a single representative one
A single, representative flow delimiter models the effect of all CSOs of the system in a lumped fashion manner This representative CSO is modeled using a diversion law that follows a linear threshold-limited function It is possible for two reasons: (i) it is the first CSO to discharge water when rain occurs (ii) it is the last CSO before our flow measurement point
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Ignorance of the sewer network Same framework for river and sewage network CSOs lumped into a single representative one
Calibration &
Validation
Examples of Application for integrated
modelling
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Map of the presentation
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Ignorance of the sewer network Same framework for river and sewage network CSOs lumped into a single representative one
Calibration &
Validation
Examples of Application for integrated
modelling
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Map of the presentation
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Presentation of a “two in one” case study
Vuachère River: -- 15 km2
-- 34% impervious. Vidy WWTP: -- 37km2
-- 25% impervious
--200.000 inhabitants
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Calibration & Validation results for the river
Performance criteria: NS: 0.73 (optimal = 1) NB: -0.0057 (optimal = 0)
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Calibration & Validation results for the WWTP
Performance criteria: NS: 0.72 (optimal = 1) NB: 0.001 (optimal = 0)
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Comparison with the a distributed model
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Comparable performances 12 CSOs lumped into one Over 40 sub-basins lumped into one No information of pipe network Easier to calibrate Smaller computation time (20s vs 0s) Black: our model
Grey: distributed model
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Ignorance of the sewer network Same framework for river and sewage network CSOs lumped into a single representative one
Good performance on: 1) River
2) Sewer flow
Examples of Application for integrated
modelling
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Map of the presentation
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Ignorance of the sewer network Same framework for river and sewage network CSOs lumped into a single representative one
Good performance on: 1) River
2) Sewer flow
Examples of Application for integrated
modelling
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Map of the presentation
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Example of integrated modelling
Time
Antibiotic concentration
Biocide concentration
Rain
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Example of integrated modelling
Time
Antibiotic concentration
Biocide concentration
Rain
DARIO DEL GIUDICE, UDM 2012
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Ignorance of the sewer network Same framework for river and sewage network CSOs lumped into a single representative one
Good performance on: 1) River
2) Sewer flow
Support for integrated modelling of multiple
sources of pollution with complex dynamics
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Map of the presentation
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For more details
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CONCLUSION
The pipe network is replaced by underground impervious area All CSOs are lumped into a representative one Efficient for sewer system and urban rivers Potential for further integrated water quality modelling QUESTIONS?
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Multiple scientific concerns
What is the control point? • WTP entrance for optimizing treatment strategy • WTP outlet and CSOs for environmental impact • Urban rivers What are the source dynamics? • Medical prescription • Illicit drug habits • Pesticides in agriculture What are the transport dynamics? • Dynamics of the sewer system • Dynamics of an urban river
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Multiple scientific concerns
What is the control points? •WTP entrance for optimizing treatment strategy •WTP outlet and CSOs for environmental impact •Tap water for human risks issues What are the source dynamics? •Medical prescription •Illicit drug habits •Façade protection strategies What are the transport dynamics? •Dynamics of the sewer system •Dynamics of an urban river
Depends on the objective
Depends on the substance
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Automatic calibration algorithm
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