The Experts below are selected from a list of 245178 Experts worldwide ranked by ideXlab platform
Jacek Namieśnik - One of the best experts on this subject based on the ideXlab platform.
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passive Sampling for long term monitoring of organic pollutants in Water
Trends in Analytical Chemistry, 2000Co-Authors: B Zabiegala, Jacek NamieśnikAbstract:Abstract Commonly used monitoring systems usually record only pollutant concentrations at a specific point in time. Passive dosimetry, widely used to monitor air pollutants, can also be applied to monitor organic contaminants in Water. Contrary to dynamic techniques, passive Sampling is less sensitive to accidental extreme variations of the organic pollutant concentration in natural Waters. A passive sampler can cover a long Sampling period, integrating the pollutant concentration over time. Since only a few analyses are necessary over the monitoring period, analytical costs (usually connected with expensive dynamic sample isolation and preconcentration techniques) can be reduced substantially. Moreover, decomposition of the sample during transport and storage and/or changes during sample enrichment are also minimised. In this review, the present state of the art of passive Water Sampling for long-term monitoring of organic pollutants in Water is discussed.
B Zabiegala - One of the best experts on this subject based on the ideXlab platform.
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passive Sampling for long term monitoring of organic pollutants in Water
Trends in Analytical Chemistry, 2000Co-Authors: B Zabiegala, Jacek NamieśnikAbstract:Abstract Commonly used monitoring systems usually record only pollutant concentrations at a specific point in time. Passive dosimetry, widely used to monitor air pollutants, can also be applied to monitor organic contaminants in Water. Contrary to dynamic techniques, passive Sampling is less sensitive to accidental extreme variations of the organic pollutant concentration in natural Waters. A passive sampler can cover a long Sampling period, integrating the pollutant concentration over time. Since only a few analyses are necessary over the monitoring period, analytical costs (usually connected with expensive dynamic sample isolation and preconcentration techniques) can be reduced substantially. Moreover, decomposition of the sample during transport and storage and/or changes during sample enrichment are also minimised. In this review, the present state of the art of passive Water Sampling for long-term monitoring of organic pollutants in Water is discussed.
Branislav Vrana - One of the best experts on this subject based on the ideXlab platform.
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use of passive Sampling devices for monitoring and compliance checking of pop concentrations in Water
Environmental Science and Pollution Research, 2012Co-Authors: Rainer Lohmann, Kees Booij, Foppe Smedes, Branislav VranaAbstract:Background The state of the art of passive Water Sampling of (nonpolar) organic contaminants is presented. Its suitability for regulatory monitoring is discussed, with an emphasis on the information yielded by passive Sampling devices (PSDs), their relevance and associated uncertainties. Almost all persistent organic pollutants (POPs) targeted by the Stockholm Convention are nonpolar or weakly polar, hydrophobic substances, making them ideal targets for Sampling in Water using PSDs. Widely used nonpolar PSDs include semi-permeable membrane devices, low-density polyethylene and silicone rubber.
Izumi Katano - One of the best experts on this subject based on the ideXlab platform.
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environmental dna method for estimating salamander distribution in headWater streams and a comparison of Water Sampling methods
PLOS ONE, 2017Co-Authors: Izumi Katano, Ken Harada, Rio Souma, Toshifumi MinamotoAbstract:Environmental DNA (eDNA) has recently been used for detecting the distribution of macroorganisms in various aquatic habitats. In this study, we applied an eDNA method to estimate the distribution of the Japanese clawed salamander, Onychodactylus japonicus, in headWater streams. Additionally, we compared the detection of eDNA and hand-capturing methods used for determining the distribution of O. japonicus. For eDNA detection, we designed a qPCR primer/probe set for O. japonicus using the 12S rRNA region. We detected the eDNA of O. japonicus at all sites (with the exception of one), where we also observed them by hand-capturing. Additionally, we detected eDNA at two sites where we were unable to observe individuals using the hand-capturing method. Moreover, we found that eDNA concentrations and detection rates of the two Water Sampling areas (stream surface and under stones) were not significantly different, although the eDNA concentration in the Water under stones was more varied than that on the surface. We, therefore, conclude that eDNA methods could be used to determine the distribution of macroorganisms inhabiting headWater systems by using samples collected from the surface of the Water.
Andrew D.l. Steven - One of the best experts on this subject based on the ideXlab platform.
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Estimating dissolved organic carbon concentration in turbid coastal Waters using optical remote sensing observations
International Journal of Applied Earth Observation and Geoinformation, 2016Co-Authors: Nagur Cherukuru, Phillip W. Ford, Lesley A. Clementson, Ken Suber, K Oubelkheir, Richard J. Matear, Andrew D.l. StevenAbstract:Dissolved Organic Carbon (DOC) is an important component in the global carbon cycle. It also plays an important role in influencing the coastal ocean biogeochemical (BGC) cycles and light environment. Studies focussing on DOC dynamics in coastal Waters are data constrained due to the high costs associated with in situ Water Sampling campaigns. Satellite optical remote sensing has the potential to provide continuous, cost-effective DOC estimates. In this study we used a bio-optics dataset collected in turbid coastal Waters of Moreton Bay (MB), Australia, during 2011 to develop a remote sensing algorithm to estimate DOC. This dataset includes data from flood and non-flood conditions. In MB, DOC concentration varied over a wide range (20–520 μM C) and had a good correlation (R2 = 0.78) with absorption due to coloured dissolved organic matter (CDOM) and remote sensing reflectance. Using this data set we developed an empirical algorithm to derive DOC concentrations from the ratio of Rrs(412)/Rrs(488) and tested it with independent datasets. In this study, we demonstrate the ability to estimate DOC using remotely sensed optical observations in turbid coastal Waters.
