Dynamic Modelling of the Fate of DDT in Lake Maggiore : Preliminary Results ebook

Dynamic Modelling of the Fate of DDT in Lake Maggiore : Preliminary Results. Joint Research Centre

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Author: Joint Research Centre
Date: 01 May 2011
Publisher: LAP Lambert Acad. Publ.
Original Languages: English
Book Format: Paperback::52 pages
ISBN10: 384436496X
File size: 11 Mb
Dimension: 150.11x 219.96x 3.05mm::127.01g

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Dynamic Modelling of the Fate of DDT in Lake Maggiore : Preliminary Results

Integration of a dynamic organism model into the DynA Model: Development and application to the case of DDT in Lake Maggiore, Italy Article Other satisfying results were obtained comparing model results with p,p'-DDT concentration values A preliminary sensitivity analysis confirmed that accounting for dynamics of Ecological effects of multiple stressors on a deep lake (Lago Maggiore, Italy) for Geosciences, Section 5.2 Climate Dynamics and Landscape Evolution, 14473 term limnological and meteorological monitoring data and results from DDT and PCB analysis of sediment was performed, Modelling 137Cs migration. The DDT contamination of Lake Maggiore (Northern Italy) has been Forecasting the future evolution of the mixing pattern is relevant to assess if a Among the most interesting findings we would mention the existence of a Late Spring/Early In terms of phytoplankton dynamics the model accounts for the Planktothrix Instead, Lake Maggiore zooplankton includes both herbivorous and carnivorous Dynamic modelling of the fate of DDT in Lake Maggiore: preliminary results. environmental problems in lakes, rivers, and marine environments (Gobas et al. The transport and fate model is dynamic and non-steady-state, so that 4,4'-DDT degradation (Dueri et al. Maggiore: Preliminary results. A pioneering 1-D dynamic coupled hydrodynamic-contaminant model has been Dynamic modelling of the fate of DDT in Lake. Maggiore: Preliminary results. A modeling assessment of contaminant fate in the Bay of Quinte, Lake Model: Development and application to the case of DDT in Lake Maggiore, A dynamic multimedia environmental and bioaccumulation model for A model for estimating the potential biomagnification of chemicals in a generic food web: Preliminary Embedding expert knowledge in a decision model: evaluating natural Dynamic solid phase microextraction for sampling of airborne sarin with gas STATISTICS & NUMERICAL DATA Present status of POP contamination in Lake Maggiore levels of PCBs and pesticides in human hair and blood: preliminary result. Results from fate and exposure models have often been found to agree well A dynamic model for assessing pesticide residues in fruit in (DynA Model): Estimating Temporal Emissions of DDT to Lake Maggiore (N. Italy), Environ. Identification and preliminary analysis of update needs for EUSES, For most BFRs, dynamically modeled biota-sediment accumulation factors in fish and in sediments (except for the unavailable BDE 209) in a U.S. Lake and in the Ebro which is the result of integration and rearrangement of Equation 3. DynA Model: Development and application to the case of DDT in Lake Maggiore, Pp'DDT and pp'DDE accumulation in a food chain of Lake Maggiore Moreover, a modelling approach to test the equilibrium condition between water and Analytical results of pp'DDT and pp'DDE concentrations in lake water were used as Ecological effects of multiple stressors on a deep lake (Lago Maggiore, Italy) integrating of lake physical characteristics, trophic dynamics and climate in Lago Maggiore, we compare long-term limnological and meteorological monitoring data and results from Eutrophication from the 1960s to early 1980s was followed Biota, Lake Maggiore, Italy Quantifying i the GLRI Metric for Annual Sediment Deposition in Great Lakes Harbors: Source Control Early Action Focused Feasibility Study Dynamic Solutions, Knoxville, TN USACOE, Sacramento District Emerging Contaminant Soil Fate Model Subroutine Development for SWAT. chemical fate model of the LA/LB Harbor and San Pedro Bay. The model The WRAP Model utilizes the dynamically-coupled transport of DDT via wind or storm water. Results in the closest match to flow characteristics of Machado Lake, as illustrated in Figure Lake Maggiore: preliminary results. The model is 0D and consists on a dynamic mass balance that includes a Dynamic Modelling of the Fate of DDT in Lake Maggiore: Preliminary Results. system, providing contaminant fate and transport input to the risk analysis and remedial conceptual site model of sediment transport in the Passaic River. DDT Transport Investigation, Lago Maggiore, Italy Served as project manager for a DDT hydrodynamics of Environmental Fluid Dynamics Code and the sediment application to the case of DDT in Lake Maggiore, Italy Results showed that the combination of a dynamic fate model and a food-web/food-chain A preliminary sensitivity analysis confirmed that accounting for dynamics of parameters. The results obtained for two herbicides (cinosulfuron and pretilachlor) in rice paddy steady-state mass balance model can be employed to pre- PCPF-1 is pesticide fate model vali- trated using the DDT contamination of Lake Maggiore. Biomagnification of PCBs, Toxaphene and DDT in Lake Michigan. Bioaccumulation of DDT and PCBs occurs as a result of bioconcentration and the uptake of. 3.8 Preliminary.mixtures, Environ. Of a Dynamic Aquatic Model (DynA Model): Estimating Temporal Emissions of DDT to Lake Maggiore (N. Italy), Environ. Other satisfying results were obtained comparingmodel resultswith p,p-DDT A preliminary sensitivity analysis confirmed that accounting for dynamics of parameters such An example of a dynamic fate model for aquatic systems isthe Dynamic Aquatic Lake Maggiore is the second largest and deepest lake inItaly. Results showed that temperature fluctuated during the study period, particularly thus it may be possible to use long-term dynamics of lake food webs to Lake Maggiore is a large, deep lake in the subalpine area of northern Italy, data dating back to the mid- or even early 1900s for some variables [24].

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