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Institution

ARPA-E

GovernmentWashington D.C., District of Columbia, United States
About: ARPA-E is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Population & Climate change. The organization has 1161 authors who have published 1267 publications receiving 30049 citations. The organization is also known as: Advanced Research Projects Agency - Energy.


Papers
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Journal ArticleDOI
TL;DR: In this paper, an approach integrating emission inventory, numerical modeling (WRF-CAMx modeling system), and experimental measurements at high and low temporal resolution is used to investigate air quality shipping impact in the Adriatic/Ionian area focusing on four port-cities: Brindisi and Venice (Italy), Patras (Greece), and Rijeka (Croatia).
Abstract: Shipping is a growing transport sector representing a relevant share of atmospheric pollutant emissions at global scale. In the Mediterranean Sea, shipping affects air quality of coastal urban areas with potential hazardous effects on both human health and climate. The high number of different approaches for investigating this aspect limits the comparability of results. Furthermore, limited information regarding the inter-annual trends of shipping impacts is available. In this work, an approach integrating emission inventory, numerical modelling (WRF-CAMx modelling system), and experimental measurements at high and low temporal resolution is used to investigate air quality shipping impact in the Adriatic/Ionian area focusing on four port-cities: Brindisi and Venice (Italy), Patras (Greece), and Rijeka (Croatia). Results showed shipping emissions of particulate matter (PM) and NOx comparable to road traffic emissions at all port-cities, with larger contributions to local SO2 emissions. Contributions to PM2.5 ranged between 0.5% (Rijeka) and 7.4% (Brindisi), those to PM10 were between 0.3% (Rijeka) and 5.8% (Brindisi). Contributions to particle number concentration (PNC) showed an impact 2–4 times larger with respect to that on mass concentrations. Shipping impact on gaseous pollutants are larger than those to PM. The contribution to total polycyclic aromatic hydrocarbon (PAHs) concentrations was 82% in Venice and 56% in Brindisi, with a different partition gas-particle because of different meteorological conditions. The inter-annual trends analysis showed the primary contribution to PM concentrations decreasing, due to the implementation of the European legislation on the use of low-sulphur content fuels. This effect was not present on other pollutants like PAHs.

71 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used the data of a polystyrene hailpad network to define the hail climatology for Friuli Venezia Giulia, in particular, its spatial and temporal frequency, and to give a physical interpretation of the observed behavior.

70 citations

Journal ArticleDOI
TL;DR: Off-shore discharge appears a sustainable strategy for the management of uncontaminated dredged sediments from the Northern Adriatic Sea harbors and the communities of the dumping areas are well adapted to unstable environments.

70 citations

Journal ArticleDOI
TL;DR: In conclusion, robust UFP LUR models could be developed on short-term monitoring, explaining around 50% of spatial variance in longer-term measurements.
Abstract: Long-term ultrafine particle (UFP) exposure estimates at a fine spatial scale are needed for epidemiological studies. Land use regression (LUR) models were developed and evaluated for six European areas based on repeated 30 min monitoring following standardized protocols. In each area; Basel (Switzerland), Heraklion (Greece), Amsterdam, Maastricht, and Utrecht (“The Netherlands”), Norwich (United Kingdom), Sabadell (Spain), and Turin (Italy), 160–240 sites were monitored to develop LUR models by supervised stepwise selection of GIS predictors. For each area and all areas combined, 10 models were developed in stratified random selections of 90% of sites. UFP prediction robustness was evaluated with the intraclass correlation coefficient (ICC) at 31–50 external sites per area. Models from Basel and The Netherlands were validated against repeated 24 h outdoor measurements. Structure and model R2 of local models were similar within, but varied between areas (e.g., 38–43% Turin; 25–31% Sabadell). Robustness of...

70 citations

Journal ArticleDOI
TL;DR: A contaminated soil from Pieve Vergonte (Piedmont, Italy) has been investigated in order to point out the availability and extractability of a series of metal ions and consequently their potential release into other environmental compartments as mentioned in this paper.
Abstract: A contaminated soil from Pieve Vergonte (Piedmont, Italy) has been investigated in order to point out the availability and extractability of a series of metal ions and consequently their potential release into other environmental compartments A sequential extraction procedure has been adopted in order to subdivide total concentrations into five operational fractions with different potential toxicity A chemometric analysis has been used for the characterization of similarities or differences of behaviour High concentrations of the main pollutants, namely Cu, Pb and Zn, were extracted into the exchangeable, carbonate-bound/specifically adsorbed and Fe-Mn oxide bound fractions, showing the risk of release of these metals into the environment A remobilization of Cr, Mn and Ni could also take place, but to a lesser extent The other investigated metals (Al, Fe, La, Sc, V, Ti and Y) were mainly bound to the residual and, in some samples, to the Fe-Mn oxide bound fractions The high availability of several potentially toxic metals shows that the soil needs remediation

70 citations


Authors

Showing all 1165 results

NameH-indexPapersCitations
Antonio Russo8893434563
John V. Guttag6225417679
Mauro Rossi5640713056
Gianpaolo Balsamo5413131691
David Evans5213013455
Barbara Stenni4414810859
Luigi Bisanti421048560
Marco Fontana423847526
Andrea Ranzi421018090
Dario Mirabelli371273842
Marco Turco32782709
Stefania La Grutta311412691
Maurizio Forte281352962
Gianluigi de Gennaro28862853
Giovanni Martinelli271042439
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20237
20228
202165
202066
201950
201867