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How much of the sole early life stage mortality variabiltiy is explained by egg and larval dispersal and by mismatch with algal bloom in the North Sea?
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RBINS Staff Publications
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Calibration of a sole larval transport model using ICES survey assessments
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RBINS Staff Publications
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Dispersal dynamics of early life stages in the ocean
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RBINS Staff Publications
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Genomic traceability of juvenile stages of flatfish: the case of the Belgian sole nursery
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RBINS Staff Publications
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Where are sole larvae and juveniles arriving at the Belgium coast coming from?
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RBINS Staff Publications
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Vlees en vis op het menu van de frontsoldaat (’14-’18)
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RBINS Staff Publications 2016
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The RESPONSE project: Reactive transport modelling of point source contamination in soils and groundwater
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Point source contaminations origin from historic or current activities and occur in a variety of forms, extents and contaminants involved (e.g. landfills, industrial facilities, storage tanks, disposal of hazardous waste). Point source contaminations may pose risks to human health and the environment; it is therefore important to develop/improve current methodologies to assess the migration potential of contaminants in groundwater. Groundwater quality monitoring around contaminated sites is typically done by sampling piezometers. Modelling approaches can help to predict the spatial and temporal evolution of contamination plumes, design remediation strategies and assess health and environmental risks. Reactive transport models can potentially improve the prediction of contaminant routes, as they explicitly account for changing geochemical environments and chemical reactions during transport. In spite of recent advances, real-world applications remain scarce as these require large numbers of site-specific parameters. The aim of the RESPONSE project is to improve the use of reactive transport models that simulate the fate of inorganic and organic contaminants in soils and groundwater. More specifically, this project aims to (1) identify the minimum amount of site-specific parameters needed to predict reactive transport of inorganic pollutants (e.g. heavy metals) and (2) improve/simplify the modelling of transport of xenobiotic organic contaminants (XOC, e.g. hydrocarbons and pesticides). The transport of XOCs is particularly complex to model due to the effects and zonation of microbial activity at the plume fringe in polluted aquifers. The RESPONSE project focusses on typical groundwater pollution problems encountered around old municipal landfill sites and cemeteries. Municipal landfills can still release hazardous pollutants such as heavy metals and XOCs, even if they are covered by fresh ground layers after abandonment. Cemeteries can be considered a special case of landfill, releasing various compounds to the environment such as arsenic, mercury, bacteria, viruses and herbicides. Both location types are potential point sources for mixed groundwater pollution, typically including high concentrations of dissolved organic carbon (DOC), heavy metals and XOCs. The methodology in this project involves both experimental and modelling aspects. During the first screening stage, groundwater samples were collected from shallow piezometers at fifteen contaminated sites across Belgium (municipal landfills and cemeteries). Also, an improved reactive transport model is built based on HYDRUS1D-MODFLOW-PHREEQC to explicitly account for the dynamic behaviour of chemical conditions at the soil-ground water interface. Next, based on laboratory analyses, three case-study sites will be selected for further modelling and testing.
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RBINS Staff Publications 2018
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The RESPONSE project: Reactive transport modelling of point source contamination in soils and groundwater
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Point source contaminations origin from historic or current activities and occur in a variety of forms, extents and contaminants involved (e.g. landfills, industrial facilities, storage tanks, disposal of hazardous waste). Point source contaminations may pose risks to human health and the environment; it is therefore important to develop/improve current methodologies to assess the migration potential of contaminants in groundwater. Groundwater quality monitoring around contaminated sites is typically done by sampling piezometers. Modelling approaches can help to predict the spatial and temporal evolution of contamination plumes, design remediation strategies and assess health and environmental risks. Reactive transport models can potentially improve the prediction of contaminant routes, as they explicitly account for changing geochemical environments and chemical reactions during transport. In spite of recent advances, real-world applications remain scarce as these require large numbers of site-specific parameters. The aim of the RESPONSE project is to improve the use of reactive transport models that simulate the fate of inorganic and organic contaminants in soils and groundwater. More specifically, this project aims to (1) identify the minimum amount of site-specific parameters needed to predict reactive transport of inorganic pollutants (e.g. heavy metals) and (2) improve/simplify the modelling of transport of xenobiotic organic contaminants (XOC, e.g. hydrocarbons and pesticides). The transport of XOCs is particularly complex to model due to the effects and zonation of microbial activity at the plume fringe in polluted aquifers. The RESPONSE project focusses on typical groundwater pollution problems encountered around old municipal landfill sites and cemeteries. Municipal landfills can still release hazardous pollutants such as heavy metals and XOCs, even if they are covered by fresh ground layers after abandonment. Cemeteries can be considered a special case of landfill, releasing various compounds to the environment such as arsenic, mercury, bacteria, viruses and herbicides. Both location types are potential point sources for mixed groundwater pollution, typically including high concentrations of dissolved organic carbon (DOC), heavy metals and XOCs. The methodology in this project involves both experimental and modelling aspects. During the first screening stage, groundwater samples have been collected from shallow piezometers at fifteen contaminated sites (municipal landfills and cemeteries) across Belgium. Also, an improved reactive transport model is built based on HYDRUS1D-MODFLOW-PHREEQC to explicitly account for the dynamic behaviour of chemical conditions at the soil-ground water interface. Next, based on laboratory analyses, three case-study sites will be selected for further modelling and testing.
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RBINS Staff Publications 2018
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The GEPATAR project: GEotechnical and Patrimonial Archives Toolbox for ARchitectural conservation in Belgium
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Belgium is well-known for its diverse collection of built heritage, visited every year by millions of people. Because of its cultural and economic importance, conservation is a priority at both federal and regional levels. Monuments may suffer from structural instabilities related to industrial and urban development, such as groundwater extraction, mining and excavation activities. Adequate protection and preservation requires an integrated analysis of environmental, architectural and historical parameters. The aim of the GEPATAR project is to create an online interactive geo-information tool that integrates information about Belgian heritage buildings and the occurrence of ground movements. The toolbox will allow the user to view and be informed about buildings potentially at risk due to differential ground movements and thus help improving the management of built patrimony. Countrywide deformation maps spanning nearly 25 years were produced by applying advanced multi-temporal InSAR techniques to time-series of SAR data. We used StaMPS (Stanford Method for Persistent Scatterers; Hooper et al. 2012) to process ERS-1/2 and Envisat archive data and MSBAS (Multidimensional Small Baseline Subsets; Samsonov & d’Oreye 2012) to combine both ascending and descending tracks of Sentinel-1. High-resolution deformation maps of selected urban centres were obtained by processing VHR SAR data (TerraSAR-X and CosmoSkyMed). Within the GEPATAR toolbox, the country-scale deformation maps are integrated with other geo-data layers such as geology, land-use and the location of the built heritage; feature-based data fusion techniques and decision rules based on geomechanical expertise are combined to create ground movement risk maps. At the local scale the fusion process is more complicated due to the inclusion of non-spatial datasets, such as photographic and historical surveys, architectural and geotechnical data; at this scale decision rules are provided by engineering and architectural expertise. The output risk maps will be regularly updated with the availability of new SAR acquisitions. Some selected case-studies will be investigated at high resolution by means of on-site monitoring techniques as well as stability analysis to evaluate the applied approaches.
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RBINS Staff Publications 2018
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The GEPATAR project: GEotechnical and Patrimonial Archives Toolbox for ARchitectural conservation in Belgium
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Belgium is well-known for its diverse collection of built heritage, visited every year by millions of people. Because of its cultural and economic importance, conservation is a priority at both federal and regional levels. Monuments may suffer from structural instabilities related to industrial and urban development, such as groundwater extraction, mining and excavation activities. Adequate protection and preservation requires an integrated analysis of environmental, architectural and historical parameters. The aim of the GEPATAR project is to create an online interactive geo-information tool that integrates information about Belgian heritage buildings and the occurrence of ground movements. The toolbox will allow the user to view and be informed about buildings potentially at risk due to differential ground movements and thus help improving the management of built patrimony. Countrywide deformation maps spanning nearly 25 years were produced by applying advanced multi-temporal InSAR techniques to time-series of SAR data. We used StaMPS (Stanford Method for Persistent Scatterers; Hooper et al. 2012) to process ERS-1/2 and Envisat archive data and MSBAS (Multidimensional Small Baseline Subsets; Samsonov & d’Oreye 2012) to combine both ascending and descending tracks of Sentinel-1. High-resolution deformation maps of selected urban centres were obtained by processing VHR SAR data (TerraSAR-X and CosmoSkyMed). Within the GEPATAR toolbox, the country-scale deformation maps are integrated with other geo-data layers such as geology, land-use and the location of the built heritage; feature-based data fusion techniques and decision rules based on geomechanical expertise are combined to create ground movement risk maps. At the local scale the fusion process is more complicated due to the inclusion of non-spatial datasets, such as photographic and historical surveys, architectural and geotechnical data; at this scale decision rules are provided by engineering and architectural expertise. The output risk maps will be regularly updated with the availability of new SAR acquisitions. Some selected case-studies will be investigated at high resolution by means of on-site monitoring techniques as well as stability analysis to evaluate the applied approaches.
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RBINS Staff Publications 2018