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Homepage of Prof. W. Bauwens Towards
the " good ecological
status” in river Zenne: re-evaluating |
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Updated : January 9, 2009 |
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Funding : |
Environment
Impulse Programme of the Brussels-Capital Region 05/2009 - 04/2012 |
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Background and
objectives Sewage
contaminated river ecosystems, such as the Zenne
River in Brussels, receive high loads of organic material, sediments,
pollutants like trace metals and pathogenic micro-organisms with severe
consequences for the river’s ecology and increased sanitary risks for
riparian population. In We will develop
the appropriate analytical tools allowing easy monitoring of specific
environmental variables (sensors for toxic metals, an automatic measuring
system for harmful bacteria and a surface water image analysis system for the
evaluation of sediment loads) .Additionally we will develop a model that will
allow us to explore various scenarios representing possible future wastewater
management options in Project
partners ·
Vrije Universiteit Brussel o
ANCH: Faculty of Sciences -
Chemistry Department - Lab for Analytical and Environmental Chemistry
(Nathalie Brion, Marc Elskens and Willy Baeyens) o
HYDR: Faculty of
Engineering Sciences - Department of Hydrology and Hydraulic Engineering
(Willy Bauwens and Margaret Chen) ·
Université Libre de Bruxelles o
ESA: Faculty of Sciences - Ecole Interfacultaire de Bioingénieurs
- Ecology and Aquatic Systems (Pierre Servais) o
WPC: Faculty of Applied Sciences - Department of Water Pollution Control (Michel Verbanck) Work packages ·
WP1: Collection of existing data for the last 20 years
(WPC) ·
WP2: Sampling method development
and/or optimisation (ANCH) o
Task 1: Development of an
automatic monitoring station with specific sensors for trace metal assessment
(ANCH) o
Task 2: Development of an
automatic measuring tool for faecal bacteria (ESA) o
Task 3: Development of a
standard method for the determination of the biodegradable fraction of
organic matter (ANCH) o
Task 4: Use of deformed water
surface images to deduce friction effects and particle fluxes in an alluvial
river (WPC) o
Task 5: Designing and
testing of an automatic measuring cabin for the continuous monitoring of
water quality (HYDR) ·
WP3: Determination of material
loads and dynamics in the river Zenne and in the
wastewater: temporal and spatial variability (ESA) o
Task 1: Material loads §
Task 1.1 Basic physicochemical parameters
(WPC and HYDR) §
Task 1.2. Carbon, nitrogen and phosphorus pools in the river
water and in the wastewater effluents (ANCH, ESA, WPC) §
Task 1.3. Determination of Cu, Cd,
Zn, Pb and As (ANCH) §
Task 1.4. Suspended solid loads (HYDR) §
Task 1.5. Pathogenic micro-organisms (ESA) o
Task 2: Material dynamics §
Task 2.1. Characterization of the Organic matter:
biodegradability and oxygen demand (ESA, WPC, ANCH) §
Task 2.2. Nitrogen transformation rates (nitrification, ammonification, uptake) (ANCH) §
Task
2.3. Carbon transformation processes
(ANCH) §
Task 2.4. Bacterial production and respiration (ESA) §
Task 2.5. Fate of faecal bacteria in the river (ESA) ·
WP4: Development and validation of models
(HYDR) o
Task 1: Development
of a hydrologic-hydraulic model for the river Zenne
(HYDR) o
Task 2: Development
of a C-N-P model (HYDR) o
Task 3: Development of a
sediment transport model (WPC) o
Task 4: Developemnt
of a faecal bacteria model (ESA) o
Task 5: Development of a metal
transport-exchange-transformation model (ANCH) o
Task 6: Integration
of the different models (HYDR) o
Task 7: Model application (ANCH) ·
WP5: Creation of an expert
consortium for water managers (ANCH) Tasks coordinated and/or executed by HYDR WP3: Determination of material loads and dynamics in the river Zenne and in the wastewater: temporal and spatial
variability (ESA) WP3 - Task 1.1: Basic physicochemical parameters Basic physico-chemical parameters will be determined off line
at a number of stations during sampling campaigns, using specific sensors for
pH, conductivity, oxygen and temperature. Simultaneously, water flow
velocities will be measured at selected stations both
vertically along the water column and longitudinally along the river. WP3 - Task 1.4:
Suspended solid loads Suspended solid load
and its transport are one of the key parameters to understand the dynamic and
complicated hydrological systems of the WP4: Development and validation of models (HYDR) The assessment of the
integrated water quality for river basins in the framework of the analysis of
different management scenario's requires numerical models for the different
aspects of the problem (water quantity, physico-chemistry,
microbiology,...). While many models already exist
for subcomponents of the system, the integration of these models poses a
problem. The solution proposed by the EU consists of a common standard for
allowing the exchange of data between different submodels:
the OpenMI standard. This standard will be adopted
by the project, which will not only allow to link the different new model
components that will be developed in this project (e.g. the sediment model,
the bacterial model, the metal model) but will also make it possible for
other users to adopt these new developments. WP4 - Task 1: Development of a
hydrologic-hydraulic model for the river Zenne
(HYDR) The water quantity and the water fluxes are
key parameters to the modelling of all the fluxes and processes related to
the pollutants. With this respect, the Zenne basin
consists of a quite complex system, consisting of the following interacting
subsystems: the actual river, the canal and the different sewer systems and
waste water treatment plants along the river. The situation is further
complicated by the fact that the flow regime in the downstream part of the
river is influenced by tidal cycles.
As these systems interact with each other (e.g. river flows are
diverted to the canal upstream of Brussels but part of this flow re-enters
the river downstream; the sewer system of Brussels emits to the river, but
the river may also cause backwater or even return flow in the sewer system),
an integrated hydraulic model needs to be developed, including all the major
components of the system. The
hydraulic model will consist of the River Zenne
between Lembeek and the mouth of the river, the
canal between Ittre and Kapelle-op-den-bos
and the major collectors of the sewer system in Brussels (as far as they are
influenced by the river or the canal). The modelling of the inflows will be
performed by means of a semi-distributed hydrologic model (SWAT) for the
rural basins and by means of a simplified sewer model (COSIMAT) for the sewer
system. The latter will also include a simplified model for the
representation of the waste water treatment plants. While the model develop
can rely upon previous work on the hydrologic modelling of the Zenne basin (e.g. van Griensven, 2002), the
different subcomponents need to be integrated, expanded and actualized. With
regard to the integration, it is referred to Task 6. The expansion includes
the use of radar data for the assessment of the areal distribution of the
rainfall, for which collaboration will be sought with the Royal
Meteorological Institute. The actualization will include an update of the
land use in the basin, based on remote sensing data. For the calibration of
the models, data of the WP4 - Task 2: Development of a C-N-P model The modelling of the carbon, nitrogen and
phosphorous cycles requires the modelling of the emissions of these compounds
and of the in-stream processes. With
regard to the latter, the Qual2E approach is most commonly used. One of the
problems with this approach however is the fact that the state variables of
this model are different from the state variables used in the modelling of
wastewater treatment plants. To overcome this and other limitations, the
River Water Quality Model (RWQM) - an adaptation of the Activated Sludge
Model for wastewater treatment plants to the river environment - will be used
in the framework of this project. The emission of the diffuse sources of C, N
and P will be modelled by means of the SWAT model, while the above mentioned
model for sewers and WWTP will be extended with water quality modules,
compatible with the RWQM approach. As for the previous task, this task can
build on previous work that needs to be actualised and extended. The major
extension concerns a reformulation and subsequent calibration of the RWQM
component that was previously developed in discrete form and needs to be
implemented in a finite difference scheme. The calibration of the models will
be based on data of the WP4 - Task 6: Integration of the different
models (HYDR) The different models will be linked to each
other through OpenMI. The OpenMI
standard is a model component interface definition for computational models
in the water domain. Model components that comply with this standard can be
configured to exchange data during computation (at run-time). This means that
combined systems can be created, based on OpenMI-compliant
models from different providers. The standard supports two-way links where
the models mutually depend on calculation results from each other. Linked
models may run asynchronously with respect to time steps and data represented
on different geometries (grids) can be exchanged. The application of open MI
requires that each of the models discussed above should be adapted, to comply
with the open MI standard. Task 6 deals with the development of the OpenMI interface. The HYDR
team BAUWENS Willy, coordinator of the HYDR team, team leader for WP4. CHEN Margaret, guest professor, team leader for WP3. JOSSENT Jiri, Civil Engineer, PhD researcher, expert
on SWAT. DAMS Jef, MSc in Water Resources Engineering, PhD
researcher (IWT), expert on the use of remote sensing data for land use
determination. NN1, researcher (MSc Informatics), setting of the
guidelines for the open MI software development NN2, researcher (MSc Engineering), research on suspended sediment
transport NN3, researcher (MSc Engineering), research on catchment and urban
drainage modelling NN4, researcher (MSc Bio-engineering or similar), research on river
water quality modelling NN5, researcher (MSc Informatics or similar), research on OpenMI. |
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