Implementation of an automatic monitoring program with high frequency measurements (MAREL Carnot) in the eastern English Channel : a close watch on a potential.

Slides:



Advertisements
Similar presentations
Participants: Gian Pietro Gasparini: scientist (contact person) Stefania Sparnocchia: scientist Pierluigi Traverso: scientst Anna Vetrano: scientist Bacciola.
Advertisements

Lisl Robertson, University of Cape Town, RSA with assistance from Stewart Bernard Christo Whittle GOOS AFRICA.
Globcolour, Medspiration application, 21 November 2007 Towards an integrated SST and Ocean Color dataset for coastal applications at Ifremer Bertrand Saulquin.
Performance of Hedges & Long Futures Positions in CBOT Corn Goodland, Kansas March 2, 2009 Daniel OBrien, Extension Ag Economist K-State Research and Extension.
The EEA marine and coastal work programme – what are we going to do in 2011? Trine Christiansen Project manager.
Africa Group paper session, Monday 18 February 2008 Charlie Williams Climate modelling in AMMA Ruti, P. M., Hourding, F. & Cook, K. H. CLIVAR Exchanges,
Thermohaline structure, processes responsible for its formation and variation in the Gulf of Finland Taavi Liblik Marine Systems Institute at Tallinn University.
Influence of Sun Elevation under clear skies Influence of Cloud cover Near-surface radiometric measurements are perturbated by the effect of capillary.
Cooperative Science and Monitoring Initiative Status Update 2009 Great Lakes Regional Research & Information Network Chicago, IL November 3-4, 2009 John.
Session: mesoscale 16 May th Liège Colloquium Belgium
Physico-chemical and biological characteristics of the Blanes site.
Brief presentation of the results of echo surveys in the Strait of Sicily in period Sergey Goncharov.
Biogeochemical Inferences from the Diel Variability of Optical Properties in the NW Mediterranean (BOUSSOLE site) Morvan Barnes Post-Doc Morvan Barnes.
Marine Core Service MY OCEAN The GMES MyOcean Marine Service Bertil Håkansson SMHI, Core Service MyOcean Core User Requirements.
Primary research figuresPrimary research figures These are some of the results from my primary research. percentages of people who like/dislike the show.
NCP ( mmol O 2 m -2 d -1 ) BP (mmol C m 2 d -1 ) NET ECOSYSTEM METABOLISM IN THE NW IBERIAN UPWELLING SYSTEM ON AN ANNUAL CYCLE C.G.Castro, Arbones B,
SUNDAY MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY SATURDAY
HIGH FREQUENCY MONITORING IN THE SOMLIT NETWORK
Les mesures à haute fréquence dans lenvironnement marin, Wimereux, octobre 2009 Automatic measurement stations for river water quality Historic,
OOI Data QC workshop, June 6-8, 2012, Darling Marine Center, Univ. Maine Data QC for the BOUSSOLE bio-optical time series project (issues, and solutions?)
3rd OSPAR Workshop on Eutrophication Modelling (ICG-EMO) Hermann Lenhart Center for Marine and Climate Research Institut for Marine Research University.
Date/ event: Author: Overview of ETC Water data outputs 2010 Miroslav Fanta ETC Water data manager WISE TG Meeting Madrid Miroslav Fanta.
WISE SOE reporting on Transitional and Coastal waters Beate Werner.
Annual Meeting, June , Split, Croatia WP1: Data collection and metadata compilation in sea regions: current status BLACK SEA EMODnet Chemistry.
WP3: Fixing RES-H/C targets Lukas Kranzl, Andreas Müller RES-H Policy Kick-off, October 2008.
Atlantic Water temperature and climate in the Barents Sea in Vladimir Boitsov, Alexey Karsakov, Alexander Trofimov Polar Research Institute of.
Climate Impact Research & Response Coordination for a Larger Europe CIRCLE-2 ERA-Net: Science meets Policy Andreia Gonçalves de Sousa & Tiago Capela Lourenço.
Mediterranean Sea Basin Checkpoint a user of EMODnet Chemistry N. Pinardi E. Clementi C. Panaroni INGV EMODnet Chemistry Data Products – Experts Workshop.
Marine and coastal remote sensing
Phosphorus eutrophication in an inter-drumlin lake: causes and effects Lucy Crockford Walsh Fellow Trinity College Dublin What’s impeding this lake’s recovery?
The MWRA outfall monitoring program. What we measure and what we have observed so far.
Proposed Solution: Phytoplankton community in Lake Fulmor, CA Proposed Solution: Phytoplankton community in Lake Fulmor, CA Characterization of the phytoplankton.
SUSANNA SCOTT MIAMI UNIVERSITY Ecosystem Metabolism: Response to Storm Events.
Problem Description: Networked Aquatic Microbial Observing System (NAMOS) Problem Description: Networked Aquatic Microbial Observing System (NAMOS) Proposed.
Parameters and instruments A. Proshutinsky, Woods Hole Oceanographic Institution Science and Education Opportunities for an Arctic Cabled Seafloor Observatory.
Monthly Composites of Sea Surface Temperature and Ocean Chlorophyll Concentrations These maps were created by Jennifer Bosch by averaging all the data.
Climate Variability and Phytoplankton Composition in the Pacific Ocean Presented by James Acker Authors: Rousseaux C.S., Gregg W.W., Gregory G. Leptoukh.
Page 1 CONSULTANCY AND RESEARCH IN AQUACULTURE AND THE AQUATIC ENVIRONMENT A Company in the NIVA-group Methodology for Environmental monitoring of aquaculture.
1 Water Framework Directive (WFD) of the European Union © Acri-st, all rights reserved – 2014 Satellite-derived data for the Water Framework Directive.
Coastal monitoring and forecasting systems in Finland by FIMR Pekka Alenius Leading scientist Finnish Institute of Marine Research POL Workshop Mallorca.
Pedro Alcântara, Alexandra Cravo & José Jacob CIMA - FCMA, University of Algarve, Campus de Gambelas, Faro, Portugal Variability of nutrients.
SEASONAL CHANGES IN BENTHIC FLUXES AND NET ECOSYSTEM METABOLISM IN THE RIA DE VIGO (NW SPAIN) F. Alonso-Pérez, Carmen G. Castro, Zuñiga, D., B. Arbones.
09/06/09 Possible SMHI contributions to EMECO North Sea Observatory Presented at EMECO meeting, Lowestoft 2-3 June 2009 Bengt Karlson Swedish Meteorological.
Use of remote sensing in monitoring algal blooms in inland water bodies Anabel A. Lamaro Fortaleza 1-
1 Factors influencing the dynamics of excessive algal blooms Richard F. Ambrose Environmental Science and Engineering Program Department of Environmental.
Incidence of pathogenic Vibrio species in marine samples from the Mediterranean area and its correlation with environmental factors The VibrioSea Consortium:
Characterization of the coupling between oceanic turbulence and Variability of coastal waters optical properties, using in- situ measurements and satellite.
Update on Ferrybox Improvement of process understanding through the use of high frequent Ferrybox observations Henning Wehde, Dominique Durand, Pierre.
Comparison of Environmental Quality Objectives, Threshold Values or Water Quality Targets set for the Demands of European Water Framework Directive Ulrich.
SALT-WEDGE INTRUSION OF SEAWATER AND ITS IMPLICATIONS FOR PHYTOPLANKTON DYNAMICS IN THE YURA ESTUARY, JAPAN Kasai et al., (2010). Estuarine, Coastal, &
State Agency Needs for Remote Sensing Data Related to Water Quality By Bob Van Dolah Marine Resources Research Institute South Carolina Department of Natural.
BEST PRACTICES ON MARINE INFORMATION MANAGEMENT AND DISSEMINATION Prof. Cherif SAMMARI
Environmental Monitoring in the Black Sea Meeting Name, Dates, Venue Joint Survey Prepared by: Alexander Mikaelyan with contribution of Jaroslav Slobodnik,
Modeling phytoplankton seasonal variation and nutrients budget of a Semi-Arid region ecosystem in the Southern Mediterranean Sea: -Case of the Bizerte.
Nitrogen loading from forested catchments Marie Korppoo VEMALA catchment meeting, 25/09/2012 Marie Korppoo, Markus Huttunen 12/02/2015 Open DATA: Nutrient.
Partner contribution: IOF, Split Croatia
EMODnet Chemistry 3 Kick-off Meeting May 2017
Data aggregation and products generation in the Mediterranean Sea
Emily Saad EAS 4480 Oral Presentation 27 April 2010
Lake Elsinore and Canyon Lake TMDL Water Quality Monitoring Update – Summary August 15, 2017.
Satellite-derived data for the Water Framework Directive (WFD) of the European Union Abstract : The application of the Water Framework Directive (WFD)
The Chemical Connection Between Wind and Whales
The effect of ship Nox deposition on cyanobacteria blooms
at Umweltbundesamt GmbH Wien
Relationship Between NO3 and Salinity:
Eutrophication indicators PSA & EUTRISK
Typology and classification of coastal waters in Estonia
Marine Biology Station Piran(NIB)
Item 4 b) Marine Strategy Framework Directive and CIS WFD
Presentation transcript:

Implementation of an automatic monitoring program with high frequency measurements (MAREL Carnot) in the eastern English Channel : a close watch on a potential problem area with regard to the eutrophication status A.Lefebvre - Laboratoire Environnement & Ressources Centre Ifremer Manche Mer du Nord, Boulogne/Mer

Once upon a time …Preliminary studies December 2001 – April 2002 Hydrology : main biological and physico-chemical parameters Courantology : ADCP Lefebvre A., Repecaud M., Facq J.-V., Lefebvre G. & B. Hitier, Projet dimplantation de la station De mesures automatisées MAREL dans le port de Boulogne sur mer - Mesures in situ et résultats du modèle dadvection-diffusion Mars 2D. Rapport Ifremer DEL/BL/RST/02/07, 51 pages. Hébert C. & A Lefebvre, Circulation des masses deau dans la rade de Boulogne sur Mer. Étude préalable à l implantation de la station de mesures automatisées MAREL Carnot. Rapport Ifremer DEL/BL/RST/04/08, 18 pages.

Sea wall « CARNOT » Location of the system Harbour English Channel MAREL Carnot

Building site End of the installation (18/12/2003) Understructure Installation of the tube : 12 m high, 2 m diameter et 15 t.

Instrumentation The buoyThe tube and the buoy

Studied parameters Seawater TemperatureAir temperature ConductivityRelative Humidity pH P.A.R. (Photosynthetically Active Radiation) TurbidityNitrate Dissolved oxygenPhosphate Chlorophyll (Fluorescence)Silicate Frequency :1 series / 20 minutes (to be adjusted if special needed)

Monthly percentages of acquire data in JanuaryFebruaryMarchAprilMayJune % données acquises 75,675,969,194,895,694,0 JulyAugustSeptemberOctoberNovemberDecember % données acquises 93,983,893,792,891,686,8 Main characteristics of the studied parameters Paramètres physico-chimiquesRangeUncertainty Temperature- 5 à + 30 °C0,1 °C Conductivité0 à 70 mS/cm0,3 mS/cm Dissolved oxygen0 à 20 mg/L0,2 mg/L PH6,5 à 8,5 UpH0,2 UpH Turbidity0 à 4000 NTU10 % Fluorescence0 à 50 FFU10 % Nitrate0,1 à 100 µmol/L5 % Phosphate0,1 à 100 µmol/L5 % Silicate0,1 à 100 µmol/L5 %

Access to data Quality Assurance on data series Free data and reports available on Dedicated web page

Expected results Improvement of the knowledge on the dynamic of a coastal system under marine and anthropogenic controls Region Of Freshwater Influence (ROFI) + riverine inputs Occurrence of regular and intense blooms of the foaming and noxious Prymnesiophyceae Phaeocystis globosa Eutrophication = Nutrient inputs + excessive algal growth + harmful consequences

Results Usual monitoring strategy: SRN Network* (monthly/bi-monthly frequencies) * Regional Nutrient Monitoring Network (Ifremer / Artois-Picardie Water Agency) The bloom in 2008 !? Well-fitted with the seasonal cycle but …

Results Fluorescence MAREL Carnot The same bloom with HF measurements !

Nutrients and phytoplanktonic dynamics Fluorescence Nitrat e Phosphate Silicate February – May 2007 (In Babin et al, modified from Dickey 1991) According to the objectives : ! Elementary knowledge o n time scale !

Diatoms Uptake of silicate by Diatoms Fluorescence Silicate Nutrients and phytoplanktonic dynamics March 2006 Complementarity between MAREL Carnot & S.R.N. : information on phytoplanktonic community involved

Fluorescence Nitrate Silicate Salinity February– May 2007 Nutrients and phytoplanktonic dynamics Early nutrient inputs => contribution to the main bloom

Fluorescence Nitrate Silicate Salinity February – June 2006 Late nutrient inputs => secondary blooms : noxious diatoms or flagellates ? Nutrients and phytoplanktonic dynamics

Role of the ammonium during the bloom Results from the S.R.N. CHEMINI In progress : Implementation of the CHEMINI system (CHEmical MINIaturized analyser)

Effect of the sampling strategy on fluorescence distribution and his P90 Use of 4 filters on the database: diurnal (7-19 h); diurnal et operationnal (Monday to Friday) ; diurnal et March-October ; diurnal, operationnal et March-October. Control on sampling frequency: Monthly ; F1 : monthly then bi-monthly in March-april and September-October; F2 : monthly then bi-monthly from March to May and from August to October; Bi-monthly ; Weekly. => BOOTSTRAP methodology applied for a given year (study of the annual variability) then for 6 years (WFD management plan)

P90 for simulated fluorescence for a 6 years management plan with diurnal and operationnal data, and for monthly, bi-monthly and weekly sampling frequencies Good assessment of the P90 => Good assessment of the P90 Effect of the sampling strategy on fluorescence distribution and his P90

Effect of the sampling strategy on fluorescence distribution and his P90 P90 for simulated fluorescence for a 6 years management plan with diurnal and operationnal data from March to October, and for monthly, F1, F2, bi-monthly and weekly sampling frequencies Over-estimation of the P90 => Over-estimation of the P90

Access to data via the Nausicaa browser within 24 h MAREL Carnot and satellite imagery: High frequency and meso-scale approach Sea Temperature: Marel Carnot vs. Pathfinder data February 2007 to February 2008 Water Framework Directive context Water Framework Directive context : chlorophyll, turbidity, sea surface temperature To be continued To be continued (offshore and ecosystemic approach) : Marine Strategy Framework Directive

Project Partners

MAREL Carnot 10 meters Thanks to the MAREL TEAM Michel Repecaud Renaud Vuillemin Karenn Bucas David Le Pivert Loïc Quémener Jean-Valery Facq Vincent Duquesne Camille Blondel Usual sampling conditions ! Who want to sample from a 5 meters long boat ? THANKS FOR YOUR ATTENTION