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2011
Bangladesh Air Pollution Studies (BAPS): Task 5 (Industrial emission estimates). Final report. NILU OR
As part of the Bangladesh Air Pollution Studies (BAPS) under Clean Air & Sustainable Environment Project (CASE), stack emission measurements were made on several days at a steel mill and a ceramic industry, both located in the outskirts of Dhaka city. The measurements were made by ChE-BUET Team of the Bangladesh University of Engineering & Technology (BUET), Dhaka. The team has access to all the sophisticated equipment and expertise for emission measurements at industrial stacks. All equipment used were calibrated as per manufacturers' instructions. USEPA/ASTM approved methods were followed for all measurements.
2014
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). Mission 1 Report. Dhaka, 27 July - 6 August 2010. NILU OR
2010
2010
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
2011
The report gives a complete overview of the reports and outcomes from the NORAD financed project performed on behalf of Department of Environment(CASE Bangladesh. The project was undertaken during the period 2009-2013 and provided training and tools for personnel at CASE/DoE in order to increase their capacity in managing local air pollution issues.
2015
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
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
2009
Balloon and surface UV radiation measurements with the NILU-CUBE instrument. Poster presentation. NILU F
2003
2022
2022
2025
Bakgrunnsverdier for VLUFT bestemt med AirQUIS-EPISODE. NILU OR
En vurdering av områdebelastning, modellkonsepter og anvendelse er utført for å beregne bakgrunnsverdier for programmet VLUFT for byene Oslo, Bergen, Trondheim og Drammen. Resultatene er presentert i form av plot som viser soneinndeling i byene.
2000
2005
2010
Background concentrations in Norway: Towards automated annual updates. NILU OR
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
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
2009