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Monitoring Verzuring Noordzee dataset v10
Monitoring programme of the Dutch Ministry of Infrastructure and Water Management to improve the understanding of dynamics and trends in ocean acidification parameters in the Dutch sector of the North Sea. This dataset (version 10) contains all measurements from the first 10 batches of analysis
Model results of particle tracking model simulating microplastics dispersal in the North Sea, including runs representing the MSC Zoe accident.
Output files from particle tracking model scenario runs: generic dispersal scenarios for the North Sea for 2017, and scenario runs representing releases of the MSC Zoe accident (2019). Simulated particles represent floating 5mm HDPE pellets, and sinking 0.5mm PS grains. Releases were typically 10000-20000 particles for each scenario. Further details are described in the accompanying publication doi: 10.3389/fmars.2021.607203 (Related Identifier). The files contain daily particle positions with accompanying hydrodynamic information
CTD seawater dissolved inorganic carbon, total alkalinity and nutrients for R/V Sonne cruise SO279.
This dataset contains 77 measurements (all from the CTD rosette) of seawater dissolved inorganic carbon (DIC), total alkalinity (TA) and nutrients (Si, PO4, NH4, NO3 and NO2) from the Azores Region (North Atlantic Ocean). The samples were collected during R/V Sonne cruise SO279 in Dec 2020, as part of the NAPTRAM research programme to build an understanding of the transport pathways of plastic and microplastic debris in the North Atlantic. Measurements for TA and DIC were carried out using a VINDTA 3C instrument (#017, Marianda, Germany) and nutrients were analysed using a Seal QuAAtro, gas-segmented continuous flow analyser. All analysis was conducted at the NIOZ Royal Netherlands Institute for Sea Research. Bad results from technical issues during analysis have been removed from these results, so there are no recognised issues. The data were collected as part of an international effort from the JPI Oceans project HOTMIC and BMBF project PLASTISEA, and forms a joint effort of HOTMIC and PLASTISEA researchers from a range of countries and institutes. The NIOZ created the metadata entry and is responsible for holding master copies of the data
Discrete underway surface seawater dissolved inorganic carbon, total alkalinity and nutrients for R/V Sonne cruise SO279.
This dataset contains 51 measurements (all from the underway water system) of seawater dissolved inorganic carbon (DIC), total alkalinity (TA) and nutrients (Si, PO4, NH4, NO3 and NO2) from the Azores Region (North Atlantic Ocean). The samples were collected during R/V Sonne cruise SO279 in Dec 2020, as part of the NAPTRAM research programme to build an understanding of the transport pathways of plastic and microplastic debris in the North Atlantic. Measurements for TA and DIC were carried out using a VINDTA 3C instrument (#017, Marianda, Germany) and nutrients were analysed using a Seal QuAAtro, gas-segmented continuous flow analyser. All analysis was conducted at the NIOZ Royal Netherlands Institute for Sea Research. Bad results from technical issues during analysis have been removed from these results, so there are no recognised issues. The data were collected as part of an international effort from the JPI Oceans project HOTMIC and BMBF project PLASTISEA , and forms a joint effort of HOTMIC and PLASTISEA researchers from a range of countries and institutes. The NIOZ created the metadata entry and is responsible for holding master copies of the data
Comparing CLE-AdCSV applications using SA and TAC to determine the Fe binding characteristics of model ligands in seawater
Competitive ligand exchange-adsorptive cathodic stripping voltammetry (CLE-AdCSV) is used to determine the conditional concentration ([L]) and the conditional binding strength (logKcond) of dissolved organic Fe-binding ligands, which together influence the solubility of Fe in seawater. Electrochemical applications of Fe speciation measurements vary predominantly in the choice of the added competing ligand. Although different applications show the same trends, [L] and logKcond differ between the applications. In this study, binding of two added ligands in three different common applications to three known types of natural binding ligands are compared. The applications are: 1) Salicylaldoxime (SA) at 25 micromol (SA25) and short waiting time, 2) SA at 5 micromol (SA5) and 3)2-(2-thiazolylazo)-rho-cresol (TAC) at 10 micromol, the latter two with overnight equilibration. The three applications were calibrated under the same conditions, although having different pH values, resulting in the detection window centers (D) DTAC > DSA25 >/= SA5 (as log D values with respect to Fe3+: 12.3>11.2>/= 11).
For the model ligands, there is no common trend in the results of logKcond. The values have a considerable spread, which indicates that the error in logKcond is large. The ligand concentrations of the non humic model ligands are underestimated by TAC and overestimated by SA25 which we attribute to the lack of equilibrium between Fe-SA species in the SA25 application. The application TAC more often underestimated the ligand concentrations and Application the application SA5 was best in estimating over and under estimated the ligand concentration correctly. The trends between these model ligand concentrations were similar for all three applications. The estimated ligand concentrations for the humic and fulvic acids differed approximately by a factor 22 fold between TAC and SA5 and another factor of 2 between SA5 and SA25.
The use of SA above 5 micromol suffers from the formation of the species Fe(SA)x (x>1) that is not electro-active as already suggested by Abualhaija and Van den Berg (2014). Moreover, we found that the reaction between the electro-active and non-electro-active species is probably irreversible. This undermines the assumption of the CLE principle, causes overestimation of [L] and could result in a false distinction into more than one ligand group.
For future electrochemical work it is recommended to take the above limitations of the applications into account. Overall, the uncertainties arising from the CLE-AdCSV approach mean we need to search for new ways to determine the organic complexation of Fe in seawater
NIOZ jetty hourly data for temperature and salinity for 2004
NIOZ jetty LON=4.789E LAT=53.002N , using EXO sensor at depth of -1.5 meter NAP. Derived product from 10 second calibrated data. Separate calibration measurement at 2 week intervals
NIOZ jetty hourly data for temperature and salinity for 2001
NIOZ jetty LON=4.789E LAT=53.002N , depth of sensors -1.5 meter NAP. Derived product from 10 second calibrated data
NIOZ jetty hourly data for temperature and salinity for 2010
NIOZ jetty LON=4.789E LAT=53.002N, using EXO sensor at depth of -1.5 meter NAP. Derived product from 10 second calibrated data. Separate calibration measurement at 2 week intervals
NIOZ jetty hourly data for temperature and salinity for 2014
NIOZ jetty LON=4.789E LAT=53.002N, using EXO sensor at depth of -1.5 meter NAP. Derived product from 10 second calibrated data. Separate calibration measurement at 2 week intervals
Analysis of coastal storm damage resistance in successional mangrove species
Use of mangrove ecosystems for coastal flood protection requires reliable predictions of mangrove wave attenuation capacity, especially if this capacity lessens due to storm-induced forest damage. Quantifying and understanding the variation in drag forces on and mechanical properties of mangrove vegetation can improve assessment of mangrove protective capacity. We studied five mangrove species common in the subtropical Pearl River Delta, south China. The tested species range from typically landward-occurring to more seaward-occurring and pioneer species. We sampled across seven sites in the delta to study the impact of salinity on mechanical properties. We quantified strength and flexibility of branches (branch strength and flexibility related to branch diameter, Modulus of Rupture and Modulus of Elasticity), leaf strength (leaf attachment strength related to leaf size, and Leaf Mass per Area) and drag properties (drag force related to surface area and the drag coefficient). For all tested species, larger branch diameter resulted in higher mechanical strength. Larger leaf size resulted in larger peak pulling forces and larger branch surface area resulted in stronger drag forces. Notably, species that generally occur lower in the intertidal zone, where exposure to wind and waves is higher, had relatively stronger branches but more easily detachable leaves. This may be regarded as a damage-avoiding strategy. Across the seven field sites we found no clear effect of salinity on mangrove mechanical properties. This study provides a mechanistic insight in the storm damage process for individual mangrove trees and a solid base for modelling storm (surge) damage at forest scale