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Found 9757 publications. Showing page 336 of 391:

Publication  
Year  
Category

Bangladesh Air Pollution Management (BAPMAN). Task 2: Monitoring and laboratory procedures. Deliverable D2.4.: Technical specifications for a national reference laboratory in Bangladesh. NILU OR

Marsteen, L.; Dauge, F.; Randall, S.; Sivertsen, B.

This report contains all relevant physical technical specifications as well as manning requirements for the Reference laboratory for air quality measurements. The report also includes commissioning, testing and training requirements.

2013

Bangladesh Air Pollution Management (BAPMAN). Deliverable D4.1: Training program for health impact assessment and documentation of its implementation and results. NILU OR

Sundseth, K.; Randall, S.; Sivertsen, B.; Rahman, S.

The objective of the training workshop for Work segment 4 in the "Bangladesh Air Pollution Management" BAPMAN project, is to build local (DOE) capacity for developing an air quality management strategy for the future.

The training workshop was held at NILU, being presented by NILU air quality experts.

The purposes of the workshop were to produce information on the health consequences of air pollution in Dhaka that can be used by local expertise at DOE and in supporting Bangladeshi institutions in the assessment of health impacts. The workshop aimed at developing the fundamental expertise by which objectives and strategies for air quality management can be developed into the future.

2013

Bangladesh Air Pollution Management (BAPMAN). Ambient air pollution screening study in Dhaka 31 January - 15 February 2011. NILU OR

Randall, S.; Sivertsen, B.; Schneider, P.; Vo, D.T.; Uddin, N.; Biswas, S.; Saroar, G.; Rana, M.

An ambient air pollution screening study was performed in Dhaka from 31 January - 15 February 2011. The main objective of the study was to gain an overview of the background concentrations and the spatial distribution of the air pollution in the Dhaka city area. Thorough ambient air quality data has not been collected in the city for some years. Results show relatively high concentrations for SO2, NO2, and O3, with PM concentrations alarmingly high. PM concentrations could be attributed to local sources (predominantly brick Kilns and traffic), as well as regional influences (haze clouds) during the winter season which were compared to satellite AOD data.

2011

Bangladesh Air Pollution Management (BAPMAN). 6 Month Project Progress Report. August 2010 - January 2011. NILU OR

Randall, S.

Section 6.1 of the contract (BGD-3125 BGD-091066) between NORAD and NILU regarding Institutional Cooperation with the Bangladesh Ministry of Environment and Forest/Department of Environment (DOE) states that a progress report should be submitted semi-annually to NORAD. This report highlights the status of the project for the first six months of the project, August 2010 -January 2011. The project can be considered in good standing, with no major issues or deviations to report.

2011

Bangladesh Air Pollution Management (BAPMAN). 6 Month Project Progress Report. August 2010 - January 2011. NILU OR

Randall, S.

Section 6.1 of the contract (BGD-3125 BGD-091066) between NORAD and NILU regarding Institutional Cooperation with the Bangladesh Ministry of Environment and Forest/Department of Environment (DOE) states that a progress report should be submitted semi-annually to NORAD. This report highlights the status of the project for the first six months of the project, August 2010 -January 2011. The project can be considered in good standing, with no major issues or deviations to report.

2011

Balsa raft crossing the Pacific finds low contaminant levels.

Goksøyr, A.; Tollefsen, K.E.; Grung, M.; Løken, K.; Lie, E.; Zenker, A.; Fent, K.; Schlabach, M.; Huber, S.

2009

Balloon and surface UV radiation measurements with the NILU-CUBE instrument. Poster presentation. NILU F

Kylling, A.; Danielsen, T.; Webb, A.; Blumthaler, M.; Schreder, J.

2003

Balancing greenhouse gas sources and sinks: Inventories, budgets, and climate policy

Canadell, Josep G.; Poulter, Benjamin; Bastos, Ana; Ciais, Philippe; Hayes, Daniel J.; Thompson, Rona Louise; Villalobos, Yohanna

2022

Balancing Greenhouse Gas Budgets. Accounting for Natural and Anthropogenic Flows of CO2 and other Trace Gases

Poulter, Benjamin; Canadell, Josep G.; Hayes, Daniel J.; Thompson, Rona Louise (eds.)

Elsevier

2022

Balancing agricultural development and biodiversity conservation with rapid urbanization: Insights from multiscale bird diversity in rural landscapes

Chen, Yixue; Liu, Yuhong; Zhang, Xuanbo; Liu, Jiayuan; Chen, Min; Chen, Cheng; Mustafa, Ghulam; An, Shuqing; Liu, Hai Ying

Elsevier

2025

Background concentrations in Norway: Towards automated annual updates. NILU OR

Schneider, P.

A semi-automated technique was developed for performing annual updates of the dataset on background concentrations in Norway which was produced in previous years. The code is written in the Matlab programming language and large parts of the code base are included in the Appendix of this report.

The spatial component of the system was updated to include data from 2009 through 2011. Acquiring and preparing the input data for the spatial component still requires a relatively small amount of manual effort, however the majority of the remaining process has been automated to the largest extent possible, such that only the derivation of the emivariograms for the residual kriging step requires very brief interaction by an expert user.

The temporal component has been updated to version 8 of the European air quality database (AirBase), now including several additional years up to and including 2013. Entirely new anomaly matrices have been calculated from the updated data for all background stations in Norway.

Assuming that the availability and the format of the required input data remains unchanged, future annual updates of the system can be carried out within a very short time frame on the order of around 1-2 days.

2014

Background concentrations in Norway - Temporal averaging and uncertainty assessment. NILU OR

Schneider, P.

A system for providing approximate spatial and temporal estimates of the surface background concentrations of PM10 , PM2.5, NO2 , and O3 for a typical year in Norway has been established at NILU in recent years. In 2013, the system was further improved and expanded by carrying out two main tasks: Firstly the spatial component of the system was extended from previously a single year to a 3-year average, thus decreasing the impact of inter-annual variability. Secondly, a preliminary validation of the background estimates was carried out and an approximate uncertainty was calculated for four species in the dataset and is now communicated to the user on the project website. The validation results indicate that overall the average estimated concentrations follow the average observed concentration fairly well. This is particularly true for PM10 and PM2.5. The averaged estimates for O3 and NO2 also follow the averaged observations relatively closely, although NO2 is clearly underestimated at all four validation stations. In terms of quantitative uncertainty estimates for the hourly estimates at the level of individual species, O3 is the parameter which was found to have the lowest uncertainty of all four species. While the median absolute uncertainty for hourly O3 estimates was found to be 18.7 ¿g m-3, the median relative uncertainty was only 33.8 %. Both PM10 and PM2.5 had significantly higher uncertainties, with a median relative uncertainty for the hourly estimates of 90 % and 88 %, respectively. Finally, the hourly estimates for NO2 also showed quite high relative uncertainties with a value of 73 %.

2013

Aviation and Climate

Muri, Helene Østlie

2025

Avian wildlife: contaminant temporal trends and the bipolar perspective

Borgå, Katrine; Eckbo, Norith; Warner, Nicholas Alexander; Le Bohec, Celine; Herzke, Dorte; Planas-Bielsa, Victor; Gabrielsen, Geir W.; Descamps, Sebastien; Bustnes, Jan Ove

2019

Avian sentinels of the impact of Atlantification on the contaminant state of Kongsfjorden: strengths and pitfalls of a data analytical toolbox.

Eulaers, Igor; Blévin, Pierre; Bustamante, Paco; Bustnes, Jan Ove; Chastel, Olivier; Descamps, Sebastien; Fort, J.; Herzke, Dorte; Sunde Krogseth, Ingjerd; Moe, Børge; Neumann, S.; Sagerup, Kjetil; Stople, T.; Varpe, Øystein; Gabrielsen, Geir Wing

2022

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