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Fant 2243 publikasjoner. Viser side 72 av 225:

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Measurement, effect assessment and mitigation of pollutant impact on movable cultural assets. Innovative research for market transfer. Project final report. MEMORI. Grant agreement no. 265132.

Dahlin, E.; Grøntoft, T.; Wittstadt, K.; Drda-Kühn, K.; Colombini, M.P.; Bonaduce, I.; Vandenabeele, P.; Larsen, R.; Potthast, A.; Marincas, O.; Schieweck, A.; Thicket, D.; Odlyha, M.; Andrade, G.; Hackney, S.; McDonagh, C.; Ackerman, J.J.

2013

Real-world application of new sensor technologies for air quality monitoring. ETC/ACM Technical Paper, 2013/16

Castell, N.; Viana, M.; Minguillon, M.C.; Guerreiro, C.; Querol, X.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.3 Improved estimates of ash cloud top temperature and surface temperature. NILU OR

Kylling, A.

For retrieval of ash mass loading from infrared satellite measurements, estimates of the ash cloud temperature and the surface temperature are required. The ash cloud temperature and surface temperature may be taken from satellite measurements, weather model forecast, or deduced by satellite retrievals.
The report describes various methods to estimate the ash cloud temperatue and surface temperature. The impact of varying cloud temperature and surface temperature on the signal measured by an IR-sensor in space is investigated.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.4 Reduced uncertainty in satellite-based estimates of ash concentrations. NILU OR

Kylling, A.

Satellite-based measurements of volcanic ash give the total amount of volcanic ash per area, typically in units of grams of volcanic ash per square meter. To convert this to concentration the vertical thickness of the ash cloud is needed. The ash cloud thickness is not available from passive remote sensors, e.g. IR-sensors, but may be obtained from ground- and space-based lidars. Dispersion models will also provide information of the ash thickness.
This report gives an overview of volcanic ash cloud thickness as observed by space, aircraft and ground-based lidars. Also, ash cloud thickness as simulated by the Flexpart particle dispersion model is analysed. The impact of varying cloud thickness on the signal measured by IR-sensor in space is investigated. Focus is on the Eyjafjallajokull 2010 eruption for which a unique wealth of data are available.

2013

Measurement of volcanic ash in Norwegian air space. WP 1.4.2 Improved detection of ash clouds. NILU OR

Kylling, A.

Identifisering av aske i infrarøde satllittbilder forstyrres ofte av is- og vannskyer, samt de gitte temperaturforhold. Flere alternative metoder eksisterer for identifisering av askeskyer i SEVIRI-bilder. I en aktuell situasjon er ofte manuelle tilpasninger av deteksjonsmetodene nødvendig. Rapporten beskriver forskjellige metoder for identifisering av askeskyer. Metodene sammenlignes kvantitativt basert på syntetiske SEVIRI-bilder for Eyafjallajokull utbruddet i 2010.

2013

Modellering av vulkanaske i norsk luftfrom. Pkt. 1.3 Enkle forbedringer av utslippsestimat. NILU OR

Kristiansen, N.I.

Rapporten beskriver hvordan en transportmodell brukes til å simulere utslipp av aske fra vulkanutbrudd og hvordan askeutslippene kan beskrives i modellen. En rekke metoder for beregning av askeutslipp er presentert og utarbeidelse av forbedrede askeutslippestimat ved manuell analyse av satellittdata er presentert.

2013

Heavy metals and POP measurements, 2011. EMEP/CCC

Aas, W.; Breivik, K.

2013

Atmospheric supply of nitrogen, lead, cadmium, mercury and dioxines/furans to the Baltic Sea in 2011. Summary Report for HELCOM. EMEP/MSC-W Technical report, 2/2013

Bartnicki, J.; Gusev, A.; Aas, W.; Valiyaveetil, S.; Nyiri, A.

2013

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