Found 9763 publications. Showing page 336 of 391:
The Bangladesh Air Pollution Management (BAPMAN) project is an institutional-building project where NILU lends the necessary Air Quality Management (AQM) tools and associated training to the Clean Air and Sustainable Environment (CASE) program at the Department of Environment (DoE). Mission 6 of the BAPMAN project occurred in Dhaka from 13-18 October 2012 where the target of the mission was to continue Task 2 training (CAMS QA/QC), continue Task 1 training (AirQUIS monitoring), and to develop a data retrieval interface for the AirQUIS server (Task 3).
2012
BAPMAN Mission 5: Continuous air monitoring operations and advanced emissions training. NILU OR
The Bangladesh Air Pollution Management (BAPMAN) project is an institutional-building project where NILU lends the necessary Air Quality Management (AQM) tools and associated training to the Clean Air and Sustainable Environment (CASE) program at the Department of Environment (DoE). Mission 5 of the BAPMAN project occurred in Dhaka from 26 May - 01 June 2012 where the target of the mission was to begin Task 2 training (CAMS QA/QC), continue Task 1/3 training (AirQUIS emissions and monitoring), and to hold a project workshop to recruit new interested experts at CASE/DoE in future trainings for each project task.
2012
BAPMAN Mission 4: Project planning and further AQ screening. 18-23 February 2012, Dhaka, Bangladesh. NILU OR
The Bangladesh Air Pollution Management (BAPMAN) project is an institutional-building project where NILU lends the necessary Air Quality Management (AQM) tools and associated training to the Clean Air and Sustainable Environment (CASE) program at the Department of Environment (DoE). Mission 4 of the BAPMAN project occurred in Dhaka from 18-23 February 2012 where the target of the mission was to hold project planning meetings for administration of the project and to establish future missions to Dhaka and trainings at NILU in Norway, especially for the beginning of Task 2 (CAMS training). In addition, field data was collected on PM levels, traffic density flow estimates, and SO2 concentrations from select brick kilns using a UV camera.
2012
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
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
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
Balloon and surface UV radiation measurements with the NILU-CUBE instrument. Poster presentation. NILU F
2003
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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