Performance of the MAN ammonia monitoring network in the Netherlands

Noordijk, H; Braam, M.; Rutledge, Susanna; Hoogerbrugge, R; Stolk, A.; Pul, W.A.J. van

doi:10.1016/j.atmosenv.2020.117400

Cited by 8 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…NO 2 and NH 3 were measured on a monthly basis using Palmes tubes ( Figure 3 b,c; [ 22 ]). Unlike the PM sensors, the Palmes tube method is well-known, widely used for monitoring purposes, and RIVM also uses these types of measurements in the National Air Quality Monitoring Network [ 25 ] and the Measuring Ammonia in Nature (MAN) network [ 26 , 27 ]. This means that these measurements provide a better indication of absolute values than the PM measurements.…”

Section: Methodsmentioning

confidence: 99%

“…RIVM calibrated the data using the factors determined based on the comparison of Palmes tube measurements at official monitoring stations in the Netherlands with the official data recorded at these stations on a monthly basis. The 95% Confidence Interval (CI) uncertainty in the calibrated yearly average is in the order of 20–25% [ 25 , 27 ]. Calibration might not work as well for values of NH 3 over 20 µg/m 3 because the calibration is based on the values recorded at official stations, which are generally less than 20 µg/m 3 .…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Farmers and Local Residents Collaborate: Application of a Participatory Citizen Science Approach to Characterising Air Quality in a Rural Area in The Netherlands

Woutersen

Ruiter

Wesseling

et al. 2022

Sensors

View full text Add to dashboard Cite

In rural areas, livestock farming is a source of environmental concern. We describe a citizen science (CS) project in Venray, the Netherlands, where air quality was measured at livestock farms and surrounding residential premises. We used low-cost methods to measure air quality components and facilitated a dialogue between stakeholders about the results and solutions for cleaner air. PM2.5 and PM10 were measured using Nova Fitness SDS011 sensors, nitrogen dioxide (NO2) and ammonia (NH3) using Palmes tubes and odour annoyance was reported. Particulate Matter (PM) concentrations were higher close to layer farms, but elevatedconcentrations were limited at other farms and residential locations. NO2 concentrations were elevated near busy roads, and higher NH3 values were measured near livestock farms. Reporting of odour annoyance was limited, yet during the dialogue residents indicated that this was their largest concern. While both farmers and residents agreed with the general conclusions, they still preferred opposing measures. We conclude that characterisation of air quality using low-cost methods is possible, but expert guidance is needed. Moreover, education, commitment of participants and involvement of independent parties are crucial to ensuring a productive dialogue between stakeholders. The insights gained by participants and resulting dialogue were the greatest benefits of this CS approach.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Farmers and Local Residents Collaborate: Application of a Participatory Citizen Science Approach to Characterising Air Quality in a Rural Area in The Netherlands

Woutersen

Ruiter

Wesseling

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Furthermore, ammonia wet deposition is measured at 10 sites (not shown), with two new measurement locations being currently in development (van Zanten et al, 2017;Wichink Kruit et al, 2021). In addition to the ammonia network at the LML stations, the Measuring Ammonia in Nature (MAN) network began operation in 2005 (Lolkema et al, 2015;Noordijk et al, 2020). The MAN network uses commercial passive samplers providing monthly average NH 3 concentrations at 255 locations in 86 Natura 2000 nature reserves and will be expanded with 10 new locations in rural areas and 9 new locations in urban areas (Wichink Kruit et al, 2021).…”

Section: The Challenge In Contextmentioning

confidence: 99%

On the diurnal and field-scale variability of atmospheric ammonia over Dutch grasslands

Schulte

View full text Add to dashboard Cite

Excess nitrogen deposition not only leads to environmental damage, but there are also serious political and societal consequences when reduction measures fail, as demonstrated by the Dutch nitrogen crisis. Deposition of atmospheric ammonia (NH 3 ) plays a key role, as it accounts for three-quarters of all nitrogen deposition in the Netherlands. Atmospheric NH 3 is governed by a wide range of processes and scales, spanning multiple disciplines, such as meteorology, biology and chemistry. The scales involved range from long-range transport driven by meteorological processes at the synoptic scale (1000 km) or the day and night cycle of the atmospheric boundary layer (1 -2 km), down to dry deposition at field scale (100 -1000 m) or the formation of aerosols (≈ 10 µm).

show abstract

“…In addition to the German networks, the Measuring Ammonia in Nature (MAN) network monitors monthly mean values of NH 3 concentrations in Natura2000 areas in the Netherlands to detect the spatial pattern in concentration or to assess the influence of local sources (agriculture activities but also traffic) (https://man. rivm.nl/) (Lolkema et al, 2015;Noordijk et al, 2020). The network aims to be representative of different habitat types, NH 3 concentration levels, area size and shape, as well as the geographical distribution (Lolkema et al, 2015).…”

Section: In Situ Measurementsmentioning

confidence: 99%

“…We used in situ measurements of surface concentrations to validate the improvement in the emission products brought by the local adaptions. In the Netherlands, measurements from the Measuring Ammonia in Nature (MAN) network were used, including monthly mean values of ammonia concentrations at 255 sites in 60 Natura2000 to detect the spatial and temporal patterns in concentration to assess the influence of local sources on different habitat types and geographical distribution (https://man.rivm.nl/) (Lolkema et al, 2015;Noordijk et al, 2020). For Denmark, data from the Danish Background Air Quality Monitoring Program were used.…”

Section: Model Validationmentioning

confidence: 99%

Improving the spatial and temporal variability of ammonia emissions from agriculture in Western Europe

View full text Add to dashboard Cite

allocation was improved by the implementation of the TIMELINES module, which correlates the timing of manure and fertilizer application with meteorology. The method produced an annual emission map and spatially explicit time profiles for Germany and the Benelux for 2010. The newly derived emission information was imported into LOTOS-EUROS to model the ammonia surface concentration and total column distributions. The validation with in situ measurements showed that the model performance improves significantly with respect to the temporal variation of ammonia concentrations in comparison to the simulation with static emission profiles. The comparison with satellite observations confirmed these results and identified an overestimation of ammonia concentrations in Southern Germany and an underestimation in Northern Germany. The conclusion was that the spatial details on the data input needed to be refined further, including crop and livestock distributions, excretion rates, emissions fractions, and the locations of animal houses.Chapter 3 builds on the work described in Chapter 2 and assesses how the spatial allocation in the ammonia emission modeling can be improved by using publicly available crop maps with higher spatial resolution and livestock number data from national registries for the Netherlands, Denmark, and Portugal. Livestock distributions affect the spatial distribution of excreted N and thus ammonia emission, while detailing the crop distribution affects both the spatial and temporal distributions of application emissions. Emission fractions were also updated using the results of local experiments. The differences in the spatial distribution of ammonia emissions are more evident in the animal housing and manure sectors than in the manure and fertilizer application sectors because the changes in animal number data were greater than that in crop distribution. At the same time, the adapted emission distributions show more spatial details because emissions from manure and fertilizer application to crops are only allocated to where the respective crops are grown. The emissions from the standard INTEGRATOR model and the adapted approaches were validated by comparing surface concentrations predicted with LOTOS-EUROS with in situ observations. The validation was made for springtime and wintertime separately to investigate the improvements brought by crop maps and livestock information. The results show that the inclusion of such data has improved both the spatial and temporal distribution of ammonia emissions. However, uncertainties in the spatial and temporal distribution of ammonia emissions remain, which are caused by not accounting for the exact locations of animal houses and the spatial variation in meteorological conditions, application techniques, manure composition, and soil properties. Moreover, the lack of in situ measurement data only allowed model validation for the Netherlands. Last, it has to be noted that crop maps are not always publicly available for other countries, which means that crop mappi...

show abstract

Performance of the MAN ammonia monitoring network in the Netherlands

Cited by 8 publications

References 13 publications

Farmers and Local Residents Collaborate: Application of a Participatory Citizen Science Approach to Characterising Air Quality in a Rural Area in The Netherlands

Farmers and Local Residents Collaborate: Application of a Participatory Citizen Science Approach to Characterising Air Quality in a Rural Area in The Netherlands

On the diurnal and field-scale variability of atmospheric ammonia over Dutch grasslands

Improving the spatial and temporal variability of ammonia emissions from agriculture in Western Europe

Contact Info

Product

Resources

About