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Found 9764 publications. Showing page 231 of 391:

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Year  
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Modeling the Time-Variant Dietary Exposure of PCBs in China over the Period 1930 to 2100

Zhao, Shizhen; Breivik, Knut; Jones, Kevin C; Sweetman, Andrew J

This study aimed for the first time to reconstruct historical exposure profiles for PCBs to the Chinese population, by examining the combined effect of changing temporal emissions and dietary transition. A long-term (1930–2100) dynamic simulation of human exposure using realistic emission scenarios, including primary emissions, unintentional emissions, and emissions from e-waste, combined with dietary transition trends was conducted by a multimedia fate model (BETR-Global) linked to a bioaccumulation model (ACC-HUMAN). The model predicted an approximate 30-year delay of peak body burden for PCB-153 in a 30-year-old Chinese female, compared to their European counterpart. This was mainly attributed to a combination of change in diet and divergent emission patterns in China. A fish-based diet was predicted to result in up to 8 times higher body burden than a vegetable-based diet (2010–2100). During the production period, a worst-case scenario assuming only consumption of imported food from a region with more extensive production and usage of PCBs would result in up to 4 times higher body burden compared to consumption of only locally produced food. However, such differences gradually diminished after cessation of production. Therefore, emission reductions in China alone may not be sufficient to protect human health from PCB-like chemicals, particularly during the period of mass production. The results from this study illustrate that human exposure is also likely to be dictated by inflows of PCBs via the environment, waste, and food.

2018

Modelled concentrations of criteria air pollutants in Dhaka and Chittagong, PM10, PM2,5, NOx, and SOx for 2013 and 2020. NILU OR

Randall, S.; Sivertsen, B.; Ahammad, Sk. S.; Cruz, N.D.

Air pollution concentrations were estimated the dispersion models as well as the emissions inventories compiled in AirQUIS for Dhaka and Chittagong. Meteorological data were generated from TAPM. Concentration plots for PM10, PM2.5 and SO2 and NO2 were presented for both cities. A scenario for 2020 was developed based on a combination of projected mitigation measures and sector growth based on GDP and population growth rates. In addition, health impacts were assessed based on methodologies from previous studies performed in Asia.
Results show that in general the PM2.5 and PM10 concentration distributions are closely linked to the emissions from brick kilns in the Dhaka area, while in Chittagong the impacts are more spread between the urban sources, brick, and industry and traffic sources. Results also show that PM10 and PM2.5 concentrations exceeds annual limit values, and that the dry season is most critical when it comes to high concentrations of PM10 and PM2.5.

2014

Modelled radiative forcing of the direct aerosol effect with multi-observation evaluation.

Myhre, G.; Berglen, T.F.; Johnsrud, M.; Hoyle, C.R.; Berntsen, T.K.; Christopher, S.A.; Fahey, D.W.; Isaksen, I.S.A.; Jones, T.A.; Kahn, R.A.; Loeb, N.; Quinn, P.; Remer, L.; Schwarz, J.P.; Yttri, K.E.

2009

Modelled sources of airborne microplastics collected at a remote Southern Hemisphere site

Aves, Alex; Ruffell, Helena; Evangeliou, Nikolaos; Gaw, Sally; Revell, Laura E.

Airborne microplastics have emerged in recent years as ubiquitous atmospheric pollutants. However, data from the Southern Hemisphere, and remote regions in particular, are sparse. Here, we report airborne microplastic deposition fluxes measured during a five-week sampling campaign at a remote site in the foothills of the Southern Alps of New Zealand. Samples were collected over 24-hour periods for the first week and for 7-day periods thereafter. On average, atmospheric microplastic (MP) deposition fluxes were six times larger during the 24-hour sampling periods (150 MP m−2 day−1) than during the 7-day sampling periods (26 MP m−2 day−1), highlighting the importance of sampling frequency and deposition collector design to limit particle resuspension. Previous studies, many of which used weekly sampling frequencies or longer, may have substantially underestimated atmospheric microplastic deposition fluxes, depending on the study design. To identify likely sources of deposited microplastics, we performed simulations with a global dispersion model coupled with an emissions inventory of airborne microplastics. Modelled deposition fluxes are in good agreement with observations, highlighting the potential for this method in tracing sources of deposited microplastics globally. Modelling indicates that sea-spray was the dominant source when microplastics underwent long-range atmospheric transport, with a small contribution from road dust.

Elsevier

2024

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

Kristiansen, N.I.

The report describes how a transport model is used to simulate the emission of ash from volcanic eruptions and how the ash emissions can be described in the model. A number of methods for calculating ash emissions are presented and the development of improved ash emissions by manual analysis of satellite data is presented.

2013

Modellering som verktøy til å forstå utslipp, eksponering og bioakkumulering

Krogseth, Ingjerd Sunde; Nøst, Therese Haugdahl; Breivik, Knut

2019

Modelling air pollution in Hanoi. NILU OR

Sivertsen, B.; Dudek, A.

2006

Modelling air quality in Ho Chi Minh City, Vietnam. NILU F

Sivertsen, B.; Vo, D. T.

2006

Modelling and data fusion in CITI-Sense. NILU F

Schneider, P.; Lahoz, W.

2014

Modelling and mapping heavy metal and nitrogen concentrations in moss in 2010 throughout europe by applying random forests models.

Nickel, S.; Schröder, W.; Wosniok, W.; Harmens, H.; Frontasyeva, M. V.; Alber, R.; Aleksiayenak, J.; Barandovski, L.; Blum, O.; Danielsson, H.; de Temmermann, L.; Dunaev, A. M.; Fagerli, H.; Godzik, B.; Ilyin, I.; Jonkers, S.; Jeran, Z.; Pihl Karlsson, G.; Lazo, P.; Leblond, S.; Liiv, S.; Magnússon, S. H.; Mankovska, B.; Martínez-Abaigar, J.; Piispanen, J.; Poikolainen, J.; Popescu, I. V.; Qarri, F.; Radnovic, D.; Santamaria, J. M.; Schaap, M.; Skudnik, M.; Špiri¿, Z.; Stafilov, T.; Steinnes, E.; Stihi, C.; Suchara, I.; Thöni, L.; Uggerud, H. T.; Zechmeister, H. G.

2017

Modelling Arctic Atmospheric Aerosols: Representation of Aerosol Processing by Ice and Mixed-Phase Clouds

Gong, Wanmin; Stephen, Beagley; Ghahreman, Roya; Sharma, Sangeeta; Huang, Lin; Quinn, Patricia K.; Massling, Andreas; Pernov, Jakob Boyd; Skov, Henrik; Calzolai, Giulia; Traversi, Rita; Aas, Wenche; Yttri, Karl Espen; Vestenius, Mika; Makkonen, Ulla; Kivekäs, Niku; Kulmala, Markku; Alto, Pasi; Fiebig, Markus

2025

Modelling base cations in Europe. EMEP/MSC-W technical report, 2/2005

van Loon, M.; Tarrasón, L.; Posch, M.; NILU contributors: Hjellbrekke, A.-G.; Aas, W.

2005

Modelling EC/OC over Europe: comparison with observations.

Bergström, R.; Simpson, D.; Yttri, K.E.; Denier van der Gon, H.

2011

Modelling emission, transport and deposition of Icelandic mineral dust.

Groot Zwaaftink, C. D.; Arnalds, O.; Dagsson-Waldhauserova, P.; Jóhannsson, T.; Eckhardt, S.; Stohl, A.

2017

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