Air Monitoring 43


Ricardo study shows satellite data can provide critical insight in designing pollution emission management strategy in UK cities


Ricardo emission and air quality modelling specialists have developed an improved method for the quantifi cation of air pollutant emissions utilising satellite observation data. The novel approach provides better insight into total annual nitrogen oxides (NOx nitrogen dioxide (NO2


) emissions, average ) lifetime levels, seasonal variation, and estimated weekday/weekend concentrations. In testing the methodology, Ricardo estimated annual NOx emissions and their temporal


variation for three highly densifi ed cities in the UK (London, Manchester and Birmingham), for 2019. As a control measure, fi ndings were then compared with fi gures recorded via the UK National Atmospheric Emissions Inventory (NAEI) for the same year. The study found fi ndings calculated using satellite data (TROPOMI) were more consistent with NAEI fi gures than that of another recent study conducted for the same year, using other pollution quantifi cation methods. In some instances, discrepancies between nationally recorded levels and fi ndings from the alternate study were as high as 105% variation. This is in stark contrast to the fi ndings produced using satellite data which were found to have a much better correlation with national standards, with the biggest discrepancy recorded coming in at 33% variation.


In addition to an improvement in annual values, the study demonstrated that satellite data is also useful in understanding the temporal variation (seasonal climatic changes) of emissions and lifetime (residual) estimates, especially regarding variations in pollution quantities between seasons and on a day-to-day basis e.g. weekdays vs. weekends.


Such insight into ambient pollution changes is helpful to understand the knock-on effects on personal pollution exposure and where to target local mitigation efforts to be most effective. For instance, fi ndings from Ricardo’s study suggest that the mitigation of NO2


in Manchester could require a different emission management strategy than London and Birmingham. Policies in Manchester could be focussed in a targeted manner on reducing weekend emissions (where both emission rate and NO2


lifetime are longest), whereas in


London and Birmingham focussing mitigation action on weekday emissions may be more benefi cial to lowering pollution levels, as there is less seasonal variation in emissions and weekday emissions are much greater than weekend levels.


Matthieu Pommier, Principal Consultant in Ricardo’s air quality modelling team commented, ‘This work highlights the high potential in the use of satellite observations in designing more effective emission management strategy. For example, in Manchester, a seasonal approach can be benefi cial to reach different objectives i.e., targeting summer emissions might help to reduce the number of consecutive hours of exposure to NO2 increased presence of NO2


exceedance caused by an in the air, as found in this study. Similarly, targeting the reduction of autumnal emissions might help decrease NO2 concentrations concentrations given average NOx tend to be higher around this time compared to other seasons.’


Ricardo’s study illustrates that satellite instruments are key observers of the changes in emitting activities and the data collected can allow quantifi cation of the changes in emissions.


Alternative approaches to quantifying emissions are usually limited to calculating annual values only for pollutant emissions. Ricardo’s satellite data method opens the door for more granular reporting and improved insight into emissions concentrations that can be used to better inform pollution abatement strategies in future.


For full details of the study, visit ilmt.co/PL/y1oe


For more information on satellite data observations or how our emissions team can support your organisation, please contact: enquiry-ee@ricardo.com For More Info, email:


59878pr@reply-direct.com email:


New multi-gas analyser off ers rapid and precise measurements in continuous or mobile onsite applications


The MFA 10.0 analyses various two-gas mixtures of argon, helium, carbon dioxide, methane, oxygen, nitrogen and hydrogen. The reading is carried out in a matter of seconds, applying the thermal conductivity measurement principle. This technology ensures a longer service life for the measurement cell.


The new WITT analyser is particularly user-friendly. It is operated via a 7” touch screen with password protection. Gas combinations can be selected and alarm limits defi ned quite intuitively. If the limits are exceeded, an acoustic and/or visual alarm is triggered, and (where specifi ed) an alarm acknowledgement requirement. All measurements can be viewed and exported via the measurement history function.


Unlike other devices on the market, the MFA 10.0 does not have to be recalibrated when the gas combination is changed. This simplifi es handling and saves valuable working time.


Thanks to its compact dimensions, low weight and integrated handle, the new MFA 10.0 with its robust stainless-steel housing can be used as a mobile unit. However, it is also suitable as a stationary unit for continuous monitoring of gas mixtures. An RJ45 network connection, an analogue output and three potential-free relay contacts are available for signal transmission. The input pressure may be in the range of 1.5 to 10 barg, the temperature range in the range of -5°C to 50°C. 100 - 230V are required for operation.


For More Info, email: email:


For More Info, email: email:


59604pr@reply-direct.com WWW.ENVIROTECH-ONLINE.COM


The new MFA 10.0 from WITT is an extremely versatile multi-gas analyser that can determine the composition of 15 different gas mixtures - precisely and quickly. This makes the compact and lightweight device ideal for visiting on-site and continuous analysis.


For More Info, email: email:


emissions


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60