Corrigendum to “Performance of the MAN ammonia monitoring network in the Netherlands” [Atmos. Environ.]

In the Netherlands, many of the fresh groundwater resources are vulnerable to pollution. Owing to high population densities and intensive farming practices, pesticide residues are found in groundwater at many places. Hence a number of drinking water abstraction wells contain pesticides residues, causing considerable costs for purification. The Water Framework Directive (WFD) requires countries to assess the chemical status of groundwater bodies and set up monitoring plans for groundwater quality, including pesticides. 771 groundwater samples were taken from monitoring wells in 2006 and analysed for a broad list of pesticides in order to fulfil these requirements. Pesticide were detected in 27% of samples, while in 11% the WFD limit of 0.1 μg/l was exceeded. In this paper, these and earlier measurements are evaluated further, considering also measurements in drinking water wells, information about the origin of measured pesticides and calculated trends in use and emissions. The measurements in the monitoring wells showed that where pesticides are used, 15–55% (minimal and maximal estimation) of the wells in shallow groundwater (1 to 20m below soil surface) contain pesticides residues at concentrations above 0.1 μg/l. When the metabolites BAM and AMPA are excluded (as not relevant in human toxicological terms), the estimation range is 7–37%. These patterns observed in shallow groundwater are reflected by the occurrence of pesticides in vulnerable abstraction wells that are used for the production of drinking water. The WFD requires the determination of both status and trends. The design of current monitoring network is evaluated from this perspective. Several recommendations are made for more adequate and efficient monitoring.

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Review of the manuscript by Berkhout et al “Replacing the AMOR by the miniDOAS in the ammonia monitoring network in the Netherlands”

10.5194/amt-2016-348-rc2 ◽

2017 ◽

Author(s):

Anonymous

Keyword(s):

The Netherlands ◽

Monitoring Network

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Performance of the MAN ammonia monitoring network in the Netherlands

Atmospheric Environment ◽

10.1016/j.atmosenv.2020.117400 ◽

2020 ◽

Vol 228 ◽

pp. 117400

Author(s):

H. Noordijk ◽

M. Braam ◽

S. Rutledge-Jonker ◽

R. Hoogerbrugge ◽

A.P. Stolk ◽

...

Keyword(s):

The Netherlands ◽

Monitoring Network

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Assessment of PM2.5 Exposure during Cycle Trips in The Netherlands Using Low-Cost Sensors

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18116007 ◽

2021 ◽

Vol 18 (11) ◽

pp. 6007

Author(s):

Joost Wesseling ◽

Wouter Hendricx ◽

Henri de Ruiter ◽

Sjoerd van Ratingen ◽

Derko Drukker ◽

...

Keyword(s):

Air Pollution ◽

The Netherlands ◽

Low Cost ◽

Fine Particulate Matter ◽

Monitoring Network ◽

Personal Exposure ◽

Sensor Data ◽

Background Concentrations ◽

Fine Particulate

Air pollution, especially fine particulate matter (PM2.5), is a major environmental risk factor for human health in Europe. Monitoring of air quality takes place using expensive reference stations. Low-cost sensors are a promising addition to this official monitoring network as they add spatial and temporal resolution at low cost. Moreover, low-cost sensors might allow for better characterization of personal exposure to PM2.5. In this study, we use 500 dust (PM2.5) sensors mounted on bicycles to estimate typical PM2.5 levels to which cyclists are exposed in the province of Utrecht, the Netherlands, in the year 2020. We use co-located sensors at reference stations to calibrate and validate the mobile sensor data. We estimate that the average exposure to traffic related PM2.5, on top of background concentrations, is approximately 2 μg/m3. Our results suggest that cyclists close to major roads have a small, but consistently higher exposure to PM2.5 compared to routes with less traffic. The results allow for a detailed spatial representation of PM2.5 concentrations and show that choosing a different cycle route might lead to a lower exposure to PM2.5. Finally, we conclude that the use of mobile, low-cost sensors is a promising method to estimate exposure to air pollution.

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Replacing the AMOR by the miniDOAS in the ammonia monitoring network in the Netherlands

10.5194/amt-2016-348 ◽

2017 ◽

Cited By ~ 1

Author(s):

A. J. C. Stijn Berkhout ◽

Daan P. J. Swart ◽

Hester Volten ◽

Lou F. L. Gast ◽

Marty Haaima ◽

...

Keyword(s):

The Netherlands ◽

Monitoring Network ◽

Ambient Air ◽

Automatic Monitoring ◽

Quality Monitoring ◽

Optical Absorption Spectroscopy ◽

Fast Time ◽

Air Quality Monitoring ◽

Process Studies ◽

Good Agreement

Abstract. In this paper we present the continued development of the miniDOAS, an active differential optical absorption spectroscopy (DOAS) instrument to measure ammonia concentrations in ambient air. The miniDOAS has been adapted for use in the Dutch National Air Quality Monitoring Network. The miniDOAS replaces the life-expired continuous-flow denuder ammonia monitor (AMOR). From September 2014 to December 2015, both instruments measured in parallel before the change from AMOR to miniDOAS was made. The instruments were deployed on six monitoring stations throughout the Netherlands. We report on the results of this intercomparison. Both instruments show a good uptime of ca. 90 %, adequate for an automatic monitoring network. Although both instruments produce minute values of ammonia concentrations, a direct comparison on short timescales such as minutes or hours does not give meaningful results, because the AMOR response to changing ammonia concentrations is slow. Comparisons between daily and monthly values show a good agreement. For monthly averages, we find a small average offset of 0.65 ± 0.28 µg m−3 and a slope of 1.034 ± 0.028, with the miniDOAS measuring slightly higher than the AMOR. The fast time resolution of the miniDOAS makes the instrument not only suitable for monitoring but also for process studies.

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Regional soil moisture monitoring network in the Raam catchment in the Netherlands

10.5194/essd-2017-50 ◽

2017 ◽

Cited By ~ 1

Author(s):

Harm-Jan F. Benninga ◽

Coleen D. U. Carranza ◽

Michiel Pezij ◽

Pim van Santen ◽

Martine J. van der Ploeg ◽

...

Keyword(s):

Soil Moisture ◽

The Netherlands ◽

Soil Temperature ◽

Meteorological Data ◽

Monitoring Network ◽

Water Shortage ◽

First Year ◽

Moisture Profile ◽

Groundwater Levels ◽

Extreme Precipitation Events

Abstract. We have established a soil moisture profile monitoring network in the 223 km2 Raam Catchment, a tributary of the Meuse River in the Netherlands. This catchment faces water shortage during summers and excess of water during winters and after extreme precipitation events. Water management can benefit from reliable information on the soil water availability in the unsaturated zone. In situ measurements provide a direct source of information on which water managers can base their decisions. Moreover, these measurements are commonly used as a reference for calibration and validation of soil moisture products derived from earth observations or obtained by model simulations. Distributed over the Raam Catchment, we have equipped 14 agricultural fields and one natural grass field with soil moisture and soil temperature monitoring instrumentation, consisting of Decagon 5TM sensors installed at depths of 5 cm, 10 cm, 20 cm, 40 cm and 80 cm. Soil-specific calibration functions that have been developed for the 5TM sensors under laboratory conditions lead to an accuracy of 0.02 m3 m−3. The first set of measurements has been retrieved for the period 5 April 2016–4 April 2017. In this paper, we describe the Raam monitoring network and instrumentation, the soil-specific calibration of the sensors, the first year of measurements, and additional measurements (soil temperature, phreatic groundwater levels and meteorological data) and information (elevation, soil texture, land cover, and geohydrological model) available for performing scientific research. The data is available at http://dx.doi.org/10.4121/uuid:2411bbb8-2161-4f31-985f-7b65b8448bc9.

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