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2000
The ninth mission to Egypt on the DANIDA EIMP programme included installations, detailed planning, training and reporting. Quarterly air quality data reports were discussed and finalized from the two Monitoring Laboratories. Training was specifically given for sample preparations and analyses.
1999
Denne rapporten finnes bare på engelsk.
2000
The fifteenth mission to Egypt on the DANIDA EIMP programme included monitoring programme updating, QA/QC procedures, training and reporting. Air pollution episodes resulted in daily reporting procedures. Monthly and Quarterly air quality data reports were produced and presented. Training in QA/QC operations was given to the Monitoring Laboratories. Audits to the monitoring stations was performed as part of training given to the Reference Laboratory. Results were reported in Newsletters, Memos and in a paper presented at the international conference Environment '99.
2000
The fourteenth mission to Egypt on the Danida EIMP programme included preparation of QA/QC documentation.
1999
he twelfth mission to Egypt on the DANIDA EIMP programme included installations, training and reporting. The installation of monitors was finalised. A total of 37 air quality monitoring sites were operated in Egypt at the end of the mission. Monthly and Quarterly air quality data reports were produced and presented. The development of annual reports was undertaken as part of the training in understanding air pollution. Training in QA/QC operations was given to the Monitoring Laboratories. The first Audits to the monitoring stations was performed as part of training given to the Reference Laboratory. A seminar summarising the first year of measurements was given on 13 May 1999.
1999
The eleventh mission to Egypt on the DANIDA EIMP programme included the final training in handling and analyses of inorganic air quality samples. QA/QC procedures, manuals and data bases were introduced and discussed. Training was a major part of the mission.
1999
This mission to Egypt has as its main objective to install monitors and samplers and to train operators in calibration, operation and maintenance of the EIMP/EEAA air quality monitoring network in Egypt. The installations were completed on 24 June 1999.
1999
The EIMP project is funded by Danida and headed by COWI. The total project includes four components:
· Coastal water monitoring (responsible VKI (Dansih Water Quality Institute) and COW)
· Air pollution monitoring (responsible NILU)
· Reference laboratory (responsible VKI)
· Pollution sources (responsible COWI)
An audit system is being implemented at the reference laboratory which will enable the laboratory to perform audits in the air pollution monitoring network. As an introduction to station audits a workshop was held.
1999
he nineteenth mission to Egypt on the DANIDA EIMP programme included further training monitoring programme auditing, QA/QC procedures and reporting. Monthly and Quarterly air quality data reports were produced and presented. Training in QA/QC operations and reporting was given to the Monitoring Laboratories. Results from evaluations at EEAA were reported in Newsletters. Discussions concerning the future air quality measurement programme for Cairo were reported.
2001
The main purpose of mission 16 was to introduce a new technique for analysis of volatile organic compounds (VOC) in air samples, and to do on the job training of the staff at Centre for Environmental Hazards Mitigation (CEHM) at the Cairo University, Giza. Due to major changes in staff at the laboratory during the visit, it was not possible to complete the training program according to the original plan. The equipment for sampling and analysis has been checqued and tested and further needs of equipment has been evaluated.
2000
2006
Damage to painted systems. Statistical analysis of results after 8 years exposure. Umwelt- bundesamt. Texte 24/99
1999
2012
2012
Fine particulate matter (PM2.5) is a key air quality indicator due to its adverse health impacts. Accurate PM2.5 assessment requires high-resolution (e.g., atleast 1 km) daily data, yet current methods face challenges in balancing accuracy, coverage, and resolution. Chemical transport models such as those from the Copernicus Atmosphere Monitoring Service (CAMS) offer continuous data but their relatively coarse resolution can introduce uncertainties. Here we present a synergistic Machine Learning (ML)-based approach called S-MESH (Satellite and ML-based Estimation of Surface air quality at High resolution) for estimating daily surface PM2.5 over Europe at 1 km spatial resolution and demonstrate its performance for the years 2021 and 2022. The approach enhances and downscales the CAMS regional ensemble 24 h PM2.5 forecast by training a stacked XGBoost model against station observations, effectively integrating satellite-derived data and modeled meteorological variables. Overall, against station observations, S-MESH (mean absolute error (MAE) of 3.54 μg/m3) shows higher accuracy than the CAMS forecast (MAE of 4.18 μg/m3) and is approaching the accuracy of the CAMS regional interim reanalysis (MAE of 3.21 μg/m3), while exhibiting a significantly reduced mean bias (MB of −0.3 μg/m3 vs. −1.5 μg/m3 for the reanalysis). At the same time, S-MESH requires substantially less computational resources and processing time. At concentrations >20 μg/m3, S-MESH outperforms the reanalysis (MB of −7.3 μg/m3 and -10.3 μg/m3 respectively), and reliably captures high pollution events in both space and time. In the eastern study area, where the reanalysis often underestimates, S-MESH better captures high levels of PM2.5 mostly from residential heating. S-MESH effectively tracks day-to-day variability, with a temporal relative absolute error of 5% (reanalysis 10%). Exhibiting good performance at high pollution events coupled with its high spatial resolution and rapid estimation speed, S-MESH can be highly relevant for air quality assessments where both resolution and timeliness are critical.
Elsevier
2024
2005
2016
1999
CZ0049 - Activity 2. Implementation of a secondary aerosol module in the CAMx model. NILU TR
Prosjekt CZ0049 har som mål å bedre vår kunnskap og karakteristikk av PM, spesielt dannelse og identifisering av sekundære organiske aerosoler. Rapporten beskriver resultater fra aktivitet 2 "Implementering av en Sekundær Organisk Aerosol modul i CAMx". Vi har studert SOA reaksjonskammereksperimenter fra litteraturen og generert en oppdatert parameterisering av antropogen SOA dannelse. Den nye parameteriseringen er implementert i kjemitransportmodellen CAMx. Kildekode og detaljert arbeidsbeskrivelse er inkludert i rapporten.
2010
2010