New technique for ranking of air pollution monitoring stations in the urban areas based upon spatial representativity (Case study: PM monitoring stations in Berlin)

Aerosol and Air Quality Research

Volumn 15, Issue 2, 2015, Pages 743-748

  Shahraiyni, Hamid Taheri ^a,b   Sodoudi, Sahar ^a   Kerschbaumer, Andreas ^c   Cubasch, Ulrich ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b SHAHROOD UNIVERSITY OF TECHNOLOGY   (Iran)

^c Senate Department for Urban Development and Environment   (Germany)

Author keywords

Airborne particulate matter; Background stations; Monitoring network; Ranking technique based upon fuzzy interpolation (RTFI); Spatial representative

Indexed keywords

AIR POLLUTION; INTERPOLATION; POLLUTION;

AIR-POLLUTION MONITORING STATIONS; AIRBORNE PARTICULATE MATTERS; FUZZY INTERPOLATION; MONITORING NETWORK; MONITORING STATIONS; RANKING TECHNIQUE; SPATIAL CORRELATIONS; SPATIAL REPRESENTATIVE;

MONITORING;

ATMOSPHERIC POLLUTION; NEW RECORD; PARTICULATE MATTER; POLLUTION MONITORING; SPATIAL ANALYSIS; URBAN AREA;

BERLIN; GERMANY;

EID: 84925933906     PISSN: 16808584     EISSN: 20711409     Source Type: Journal    
DOI: 10.4209/aaqr.2014.12.0317     Document Type: Article

References (13)

1. Bagheri Shouraki, S. and Honda, N. (1999). Recursive Fuzzy Modeling Based on Fuzzy Interpolation. J. Adv. Comput. Intell. 3: 114–125.
2. Caselton, W.F. and Zidek, J.V. (1984). Optimal Network Monitoring Designs. Stat. Probab. Lett. 2: 223–227.
3. European Union (2008). Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on Ambient Air Quality and Cleaner Air for Europe. Official J. Eur. Union L 152: 1–44.
4. Haas, T.C. (1992). Redesigning Continental-scale Monitoring Networks. Atmos. Environ. 26A: 3323–3333.
5. Hewitt, C.N. and Jackson, A.V. (2008). Handbook of Atmospheric Science: Principles and Applications,John Wiley & Sons.
6. Janis, M.J. and Robeson, S.M. (2004). Determining the Spatial Representativeness of Air-temperature Records Using Variogram-nugget Time Series. Phys. Geog. 25: 513–530.
7. Kanaroglou, P.S., Jerrett, M., Morrison, J., Beckerman, B., Arain, M.A. and Gilbert, N.L. (2005). Establishing an Air Pollution Monitoring Network for Intra-urban Population Exposure Assessment: A Location-allocation Approach. Atmos. Environ. 39: 2399–2409.
8. Lenschow, P., Abraham, H., Kutzner, K., Lutz, M., Preusz, J. and Reichenbacher, W. (2001). Some Ideas about the Sources of PM10. Atmos. Environ. 35: 23–33.
9. Liu, M.K., Avrin, J., Pollack, R.I., Behar, J.V. and McElroy, J.L. (1986). Methodology for Designing Air Quality Monitoring Networks: I. Theoretical Aspects. Environ. Monit. Assess. 6: 1–11.
10. Modak, P.M. and Lohani, B.N. (1985). Optimization of Ambient Air Quality Monitoring Networks. Environ. Monit. Assess. 5: 21–38.
11. SenStadt (1998). Air Quality Management in Berlin 1997. Air Quality Management Series, Brochure No. 22, Department of Urban Development, Environmental Protection and Technology, Berlin.
12. Trujillo-Ventura, A. and Ellis, J.H. (1991). Multiobjective Air Pollution Monitoring Network Design. Atmos. Environ. 25A: 469–479.
13. van Egmond, N.D. and Onderdelinden, D. (1981). Objective Analysis of Air Pollution Monitoring Network Data; Spatial Interpolation and Network Density. Atmos. Environ. 15: 1035–1046.