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The report provides the annual update of the European air quality concentration maps and population exposure estimates for human health related indicators of pollutants PM10 (annual average, 90.4 percentile of daily means), PM2.5 (annual average), ozone (93.2 percentile of maximum daily 8-hour means, SOMO35, SOMO10) and NO2 (annual average), and vegetation related ozone indicators (AOT40 for vegetation and for forests) for the year 2018. The report contains also Phytotoxic ozone dose (POD) for wheat and potato maps and NOx annual average maps for 2018. The POD maps are presented for the first time in this regular mapping report. The trends in exposure estimates in the period 2005-2018 are summarized. The analysis is based on interpolation of annual statistics of the 2018 observational data reported by the EEA member and cooperating countries and other voluntary reporting countries and stored in the Air Quality e-reporting database. The mapping method is the Regression – Interpolation – Merging Mapping. It combines monitoring data, chemical transport model results and other supplementary data using linear regression model followed by kriging of its residuals (residual kriging). The paper presents the mapping results and gives an uncertainty analysis of the interpolated maps.
ETC/ATNI
2021
2021
This report presents a review of data assimilation methods applicable to air quality. In the introduction, we first describe a brief history of data assimilation method development in the context of numerical weather prediction (NWP), and then we highlight key differences when applying data assimilation methods to air quality prediction from NWP applications. Based on these differences, we outline a set of key requirements for data assimilation when applied to air quality. Following this, we review the available data assimilation algorithms and attempt to identify suitable data assimilation methods that could be applied with air quality models. This review and its findings form the basis of the developments to be carried out in the Urban Data Assimilation Systems project.
NILU
2021
- Aukra, Harøya, Fræna, Møre & Romsdal fylke, Ormen Lange
- Oljeindustri, prosessanlegg, miljøovervåking
- Luftforurensing, nitrogengjødsling, eutrofiering, forsuring
- Vegetasjon, artssammensetning, nedbørsmyr, kystlynghei
- Plantekjemi, jordanalyser, jordvannanalyser, tungmetaller, gjenanalyserAukra, Harøya, Fræna, Møre & Romsdal county, Ormen Lange
- Oil industry, process plant, environmental monitoring
- Air pollution, nitrogen fertilization, eutrophication, acidification
- Vegetation, species composition, bogs, heathland
- Plant chemistry, soil analyses, ground water analyses, heavy
metals, re-analyses
Norsk institutt for naturforskning (NINA)
2021
Method for high resolution emission estimations from construction sites. Phase I: Mapping input data
This report presents the results from exploring the available input data to develop a model for estimating air pollutants and GHG-emissions based on a bottom-up approach, including both exhaust and non-exhaust emissions. The availability of
reliable input data is the limiting factor and the most critical part of designing such a bottom-up approach. In this study, we have focussed on assessing input data that allow defining; i) the exact location and area affected during building and construction; ii) the starting and finalization dates; iii) the type of construction activity; iv) the non-road mobile machinery (NRMM) activity within building and construction; v) roads in the vicinity of construction sites.
NILU
2021
Ren luft for alle. ExtraStiftelsen project 2019/HE1-263918.
In 2019, in the framework of Oslo being European Green Capital, NILU invited students from elementary schools to
measure air pollution in their neighbourhood, using simple and affordable measuring methods based on paper and
Vaseline. The students prepared the measuring devices and selected the places where they wanted to monitor. After one
week, they retrieved the devices and used a scale to compare the amount of dust fastened to the Vaseline. All of the data
gathered by the students was uploaded by the teachers to a website (https://luftaforalle.nilu.no/), where a map showed all the results from the participating schools. The school campaign has helped researchers to get data on particulate matter from many places where data was not available, and has increased awareness among the children about the sustainability challenges cities are facing.
NILU
2021
Global environment outlook - Geo-6. Technical summary
he sixth Global Environment Outlook was launched in 2019 at the fourth UN Environment Assembly. It highlighted the ongoing damage to life and health from pollution and land degradation, and warned that zoonosis was already accounting for more than 60% of human infectious diseases. Since then the spread of COVID-19 has demonstrated the enormous challenges a global pandemic can cause for health care systems and the economy, as well as revealing potential environmental benefits of an altered lifestyle. This Technical Summary synthesizes the science and data in the GEO-6 report to make it accessible to a broad audience of policymakers, students and scientists. It demonstrates that more urgent and sustained action is required to address the degradation caused by our energy, food and waste systems and identifies a variety of transformational pathways for those seeking far-reaching policies for environmental and economic recovery.
Cambridge University Press
2021
Copernicus Atmosphere Monitoring Service
2020
Norwegian Meteorological Institute
2020
This report details the methodology and assumptions for the ETC/CME report: A life cycle perspective on the benefits of renewable electricity generation. In that report, gross avoided potential environmental impacts are estimated for electricity production in the EU-27 in the period 2005-2018. Avoided potential impacts are calculated by comparing the actual data with a counterfactual scenario where electricity production from Renewable Energy Sources is frozen at 2005 levels.
The overall methodological approach to the study is described in this report together with a short mathematical treatment of the calculation of life cycle indicators and subsequent scaling up to produce the two scenarios required to estimate gross avoided potential impacts. A short overview of data sources used in the study is included as well as a discussion and recommendations for the future.
ETC/CME
2020