1
Introduction Industry, power plants, domestic heating and vehicular traffic emit significant amounts of gaseous air pollutants, that may be taken up by vegetation. Although climate, nutrition and physiology dominate the isotopic signature of needles, air pollution leaves a detectable trace in needle isotopes (Gebauer and Schulze, 1991, Gebauer et al., 1994, Jung et al., 1997, Ammann et al., 1999). EU Daughter Directive (1999/30/EG) imposes the need on municipal governments to monitor and control air quality. Budget restrictions prevent installation of sufficient numbers of active monitoring stations. Passive biomonitoring allows acquisition of a time- integrated and spatially well resolved air quality dataset. This biomonitoring study conducted in a heavily populated and industrialised region presents proxies for the following airborne pollutant loads: PM - magnetic susceptibility; 15 13 NO - d N; CO - d C. 2 2 Conclusion biomonitoring of atmospheric quality using proxy parameters in conurbations is feasible basic physiogeographic parameters (topography, climate, soil) do not control 15 13 c distribution of environmental proxies ( , d N, d C) data accessibility is improved by storage in a GIS-database gaseous pollutant loads can be assessed by needle isotopic signature particulate pollutant load is reflected by magnetic parameters bulk isotopic and magnetic properties can be obtained at very high spatial (and temporal) resolution to serve as screening parameters for further investigations isotopic proxies for NO and CO loads preferentially reflect industrial emission, x x c whereas reflects particulate traffic emissions Acknowledgements We thank Silke Voigt and Sylvia Strecker, Isotope Lab, University of Cologne, Michael Urbat and Matthias Höcker, Paleomagnetic Lab, University of Cologne. Thanks to W. Dulson, City of Cologne, for providing CO , NO and O data. x x 3 References Ammann, M., Siegwolf, R., Pichlmayer, F., Suter, M., Saurer, M., Brunold, C., 1999. Estimating the 15 uptake of traffic-derived NO from d N abundance 2 in Norway spruce needles. Oecologia, 118. Gebauer, G., Schulze, E.D., 1991. Carbon and nitrogen isotope ratios in different compartments of a healthy and a declining Picea abies forest in the Fichtelgebirge, NE Bavaria. Oecologia, 87. Gebauer G., Giesemann, A., Schulze, E.D., Jager, H.J., 1994. Isotope ratios and concentrations of sulfur and nitrogen in needles and soil of Picea abies stands as influenced by atmospheric deposition of sulfur and nitrogen compounds. Plant and Soil, 164. Jung, K., Gebauer, G., Gehre, M., Hofmann, D., Weissflog, L., Schuurmann, G., 1997. Anthropogenic impacts on natural nitrogen isotope variations in Pinus sylvestris stands in an industrially polluted area. Environmental Pollution, 97. Urbat, M., Lehndorff, E., Schwark, L., 2004. Biomonitoring of air quality in the Cologne conurbation using pine needles as a passive sampler - Part I: magnetic properties. Atmospheric Environment, 38. Biomonitoring of atmospheric CO and NO using carbon and nitrogen isotopes x x as proxy parameters. Part II: The Cologne Conurbation E. Lehndorff*, L.Schwark*, C.Ostertag-Henning** *Department for Geology and Mineralogy, University of Cologne, Zülpicher Str. 49a, 50674 Cologne, Germany, e-mail: [email protected] ** Institute for Geology and Palaeontology, University of Münster, Correnstr. 24, 48149 Münster, Germany Covariance of averaged needle isotope values indicate a trend to 15 13 N and C enrichment with increasing environmental stress. 15 The d N values may serve as proxy for NO as shown by the good 2 correlation with atmospheric NO - 2 concentrations, determined by the City of Cologne. 15 Lighter d N-values are associated with lower NO but higher 2 nearground ozone-concentrations. Isotopic proxies for nearground CO , NO and O 2 2 3 30 40 50 60 -1 0 1 2 3 -3 NO [μg m ] 2 15 N [d ] 15 d N [] 13 d C [] -30 -29.5 -29 -28.5 -28 -0.5 0 0.5 1 1.5 airport suburban parks railway urban parks minor roads major roads r² = 0.7 rural - urban gradient r² = 0.95 MWI MWI 24 28 32 36 40 O 3 [mg m -3 ] -1 0 1 2 3 d 15 N [0 ] r² = 0.6 Cologne City - variability of atmospheric pollution proxies measured on pine needles (macro scale) 13 d C [] c [m³ / kg] magnetic suscepti- c) bility ( - a proxy for particle pollution (PM ): 10 significantly higher c of needles in the inner city - high traffic volume (combustion of fossil fuels and abrasion) no dependence on industrial emission no influence of physiogeographic c properties on no data anthropogenic soils plaggenesche raised bogs fens floodplains pseudogleys on sands pseudogleys brown earth on sands brown earth on loamy sands deep (para-) brown earth on loess shallow (para-) brown earth on loess podsols gravel 15 d N [] characteristic landuse: prominent (petro-) chemical and car manufacturing industry in the north high traffic volume in the inner city sampling locations: 60 locations covering entire city area stations fully reflect the heterogenous emission background 13 d C - a proxy for CO x emissions: a hotspot with 13 heavy d C-values occurs in the NE- sector - industrial pollution on a macroscale, vehicular traffic has a minor influence on pine needle isotopy on a microscale, high traffic volume affects pine needle isotopy, see below 15 d N - a proxy for NO x emissions: a hotspot with heavy 15 d N-values occurs in the E-sector, partially overlapping with the 13 d C maximum - industrial pollution a subordinate maximum occurs in the inner city region - traffic pollution agricultural influence 15 on d N-values is not detectable microscale variability, see below geology / hydrology: Cologne is situated in the Rhine valley - fluviatile deposits with high ground- water permeability soil properties: low variation in soil type and soil humidity consequences: no influence of subsurface on isotopic composition of pine needles topography: the dominant morphological feature is the elevation gain of the middle Rhine terrace (30 m step) the NNW strike of the Rhine Valley controls wind direction and pollutant transport consequences: no influence of topography and wind regime on isotopic composition of pine needles Differentiation according to land use and traffic volume for 13 15 c gaseous pollutants (d C, d N) and fine magnetic particles ( ) indicates higher particle emissions along railways and roads. The latter show a high variability with peak values due to local exposure. Susceptibility / particle load in parks, near railway and the airport indicate low deviation from median values (black bars) due to increased distances to point emissions and high degree of air mixing. 13 15 The trend to generally lighter d C and d N values in suburbs and parks reflects a urban-rural gradient due to the urban dome effect. Proxy variability (micro scale) 0 0.1 C [m 3 kg -1 ] -30 -28 -26 d 13 C [‰] 0 3 6 d 15 N [‰] Airport / Railway Major roads Minor roads Urban / Suburban parks c

Biomonitoring of atmospheric CO as proxy parameters. Part II: … · 2005. 10. 13. · Biomonitoring of air quality in the Cologne conurbation using pine needles as a passive sampler

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

Page 1: Biomonitoring of atmospheric CO as proxy parameters. Part II: … · 2005. 10. 13. · Biomonitoring of air quality in the Cologne conurbation using pine needles as a passive sampler

Introduction

Industry, power plants, domestic heating and vehicular traffic emit significant amounts of

gaseous air pollutants, that may be taken up by vegetation.

Although climate, nutrition and physiology dominate the isotopic signature of needles,

air pollution leaves a detectable trace in needle isotopes (Gebauer and Schulze, 1991,

Gebauer et al., 1994, Jung et al., 1997, Ammann et al., 1999).

EU Daughter Directive (1999/30/EG) imposes the need on municipal governments to

monitor and control air quality. Budget restrictions prevent installation of sufficient

numbers of active monitoring stations. Passive biomonitoring allows acquisition of a time-

integrated and spatially well resolved air quality dataset.

This biomonitoring study conducted in a heavily populated and industrialised region

presents proxies for the following airborne pollutant loads: PM - magnetic susceptibility; 15 13NO - d N; CO - d C.2 2

Conclusion

� biomonitoring of atmospheric quality using proxy parameters in conurbations is

feasible

� basic physiogeographic parameters (topography, climate, soil) do not control 15 13cdistribution of environmental proxies ( , d N, d C)

� data accessibility is improved by storage in a GIS-database

� gaseous pollutant loads can be assessed by needle isotopic signature

� particulate pollutant load is reflected by magnetic parameters

� bulk isotopic and magnetic properties can be obtained at very high spatial

(and temporal) resolution to serve as screening parameters for further

investigations

� isotopic proxies for NO and CO loads preferentially reflect industrial emission, x x

cwhereas reflects particulate traffic emissions

Acknowledgements

We thank Silke Voigt and Sylvia Strecker, Isotope

Lab, University of Cologne, Michael Urbat and

Matthias Höcker, Paleomagnetic Lab, University of

Cologne.

Thanks to W. Dulson, City of Cologne, for providing

CO , NO and O data.x x 3

References

Ammann, M., Siegwolf, R., Pichlmayer, F., Suter,

M., Saurer, M., Brunold, C., 1999. Estimating the

15uptake of traffic-derived NO from d N abundance 2

in Norway spruce needles. Oecologia, 118.

Gebauer, G., Schulze, E.D., 1991. Carbon and

nitrogen isotope ratios in different compartments of

a healthy and a declining Picea abies forest in the

Fichtelgebirge, NE Bavaria. Oecologia, 87.

Gebauer G., Giesemann, A., Schulze, E.D., Jager,

H.J., 1994. Isotope ratios and concentrations of

sulfur and nitrogen in needles and soil of Picea

abies stands as influenced by atmospheric

deposition of sulfur and nitrogen compounds. Plant

and Soil, 164.

Jung, K., Gebauer, G., Gehre, M., Hofmann, D.,

Weissflog, L., Schuurmann, G., 1997.

Anthropogenic impacts on natural nitrogen isotope

variations in Pinus sylvestris stands in an industrially

polluted area. Environmental Pollution, 97.

Urbat, M., Lehndorff, E., Schwark, L., 2004.

Biomonitoring of air quality in the Cologne

conurbation using pine needles as a passive

sampler - Part I: magnetic properties. Atmospheric

Environment, 38.

Biomonitoring of atmospheric CO and NO using carbon and nitrogen isotopes x x

as proxy parameters. Part II: The Cologne ConurbationE. Lehndorff*, L.Schwark*, C.Ostertag-Henning**

*Department for Geology and Mineralogy, University of Cologne, Zülpicher Str. 49a, 50674 Cologne, Germany, e-mail: [email protected]** Institute for Geology and Palaeontology, University of Münster, Correnstr. 24, 48149 Münster, Germany

Covariance of averaged needle isotope values indicate a trend to 15 13N and C enrichment with increasing environmental stress.

15The d N values may serve as proxy for NO as shown by the good 2

correlation with atmospheric NO -2

concentrations, determined by the City of Cologne.

15Lighter d N-values are associated with lower NO but higher 2

nearground ozone-concentrations.

Isotopic proxies for nearground CO , NO and O2 2 3

30 40 50 60

-1

0

1

2

3

-3NO [µg m ]2

15N

[‰

d]

15

dN

[‰

]

13d C [‰]

-30 -29.5 -29 -28.5 -28

-0.5

0

0.5

1

1.5

airport

suburban parks

railway

urban parks

minorroads

major roadsr² = 0.7

rural - urban gradient

r² = 0.95

MWI

MWI

24 28 32 36 40O3 [mg m-3]

-1

0

1

2

3

d1

5N

[0

]

r² = 0.6

Cologne City - variability of atmospheric pollution proxies measured on pine needles (macro scale)

13d C [‰]

c [m³ / kg]

magnetic suscepti- c) bility ( - a proxy for

particle pollution (PM ):10

� significantly higher c of needles in the inner city - high traffic volume (combustion of fossil fuels and abrasion)

� no dependence on industrial emission

� no influence of physiogeographic

cproperties on

no dataanthropogenic soilsplaggenescheraised bogsfensfloodplainspseudogleys on sandspseudogleysbrown earth on sandsbrown earth on loamy sandsdeep (para-) brown earth on loessshallow (para-) brown earth on loesspodsolsgravel

15d N [‰]

characteristic landuse:

� prominent (petro-) chemical and car manufacturing industry in the north

� high traffic volume in the inner city

sampling locations:

� 60 locations covering entire city area

� stations fully reflect the heterogenous emission background

13d C - a proxy for CO xemissions:

� a hotspot with 13heavy d C-values

occurs in the NE-sector - industrial pollution

� on a macroscale, vehicular traffic has a minor influence on pine needle isotopy

� on a microscale, high traffic volume affects pine needle isotopy, see below

15d N - a proxy for NO xemissions:

� a hotspot with heavy 15d N-values occurs in

the E-sector, partially overlapping with the

13d C maximum - industrial pollution

� a subordinate maximum occurs in the inner city region -tr traffic pollution

� agricultural influence 15on d N-values is not

detectable

� microscale variability, see below

geology / hydrology:

� Cologne is situated in the Rhine valley - fluviatile deposits with high ground-water permeability

soil properties:

� low variation in soil type and soil humidity

consequences:

� no influence of subsurface on isotopic composition of pine needles

topography:

� the dominant morphological feature is the elevation gain of the middle Rhine terrace (30 m step)

� the NNW strike of the Rhine Valley controls wind direction and pollutant transport

consequences:

� no influence of topography and wind regime on isotopic composition of pine needles

Differentiation according to land use and traffic volume for 13 15 cgaseous pollutants (d C, d N) and fine magnetic particles ( )

indicates higher particle emissions along railways and roads. The latter show a high variability with peak values due to local exposure.

Susceptibility / particle load in parks, near railway and the airport indicate low deviation from median values (black bars) due to increased distances to point emissions and high degree of air mixing.

13 15The trend to generally lighter d C and d N values in suburbs and parks reflects a urban-rural gradient due to the urban dome effect.

Proxy variability (micro scale)

0

0.1C [m3 kg-1]

-30

-28

-26

d13C [‰]

0

3

6

d15N [‰]

Airport / Railway Major roads Minor roads Urban / Suburban parks

c