Skip to main content
Have a personal or library account? Click to login
Analysis and optimal design of air quality monitoring networks using a variational approach Cover

Analysis and optimal design of air quality monitoring networks using a variational approach

Tellus B: Chemical and Physical Meteorology
Volume 67 (2015): Issue 1
By: ,  ,   and    
Open Access
|Jan 2015
References

References

  1. Abida R. , Bocquet M . Targeting of observations for accidental atmospheric release monitoring . Atmos. Environ . 2009 ; 43 : 6312 – 6327 .
    Search in Google ScholarBack to article
  2. Abida R. , Bocquet M. , Vercauteren N. , Isnard O . Design of a monitoring network over France in case of a radiological accidental release . Atmos. Environ . 2008 ; 42 ( 21 ): 5205 – 5219 .
    Search in Google ScholarBack to article
  3. Ainslie B. , Reuten C. , Steyn D. G. , Le N. D. , Zidek J. V . Application of an entropy-based Bayesian optimization technique to the redesign of an existing monitoring network for single air pollutants . J. Environ. Manage . 2009 ; 90 ( 8 ): 2715 – 2729 .
    Search in Google ScholarBack to article
  4. Allen G. , Coe H. , Clarke A. , Bretherton C. , Wood R . South East Pacific atmospheric composition and variability sampled along 20 S during VOCALS-Rex . Stat. Sci . 2011 ; 8 ( 1 ): 10 – 15 .
    Search in Google ScholarBack to article
  5. Bertsimas D. , Tsitsiklis J . Simulated annealing . Atmos. Chem. Phys . 1993 ; 11 : 5237 – 5262 .
    Search in Google ScholarBack to article
  6. Bocquet M . Reconstruction of an atmospheric tracer source using the principle of maximum entropy. I: theory . Q. J. Roy. Meteorol. Soc . 2005a ; 131 : 2191 – 2208 .
    Search in Google ScholarBack to article
  7. Bocquet M . Reconstruction of an atmospheric tracer source using the principle of maximum entropy. II: applications . Q. J. Roy. Meteorol. Soc . 2005b ; 131 : 2209 – 2223 .
    Search in Google ScholarBack to article
  8. Bouttier P. , Courtier F . Data assimilation: concepts and methods . Training Course Notes of ECMWF . 1997 ; UK : Reading . Vol. 53 .
    Search in Google ScholarBack to article
  9. Caselton W. , Zidek J . Optimal monitoring network designs . Stat. Probab. Lett . 1984 ; 2 : 223 – 227 .
    Search in Google ScholarBack to article
  10. Cioaca A. , Sandu A . Low-rank approximations for computing observation impact in 4D-Var data assimilation . Comp. Math. Appl . 2014 ; 67 : 2112 – 2126 .
    Search in Google ScholarBack to article
  11. Daley R . Atmospheric Data Analysis . 1993 ; Cambridge University Press, Cambridge .
    Search in Google ScholarBack to article
  12. Elkamel A. , Fatehifar E. , Taheri M. , Al-Rashidi M. S. , Lohi A . A heuristic optimization approach for Air Quality Monitoring Network design with the simultaneous consideration of multiple pollutants . J. Environ. Manage . 2008 ; 88 : 507 – 516 .
    Search in Google ScholarBack to article
  13. Fisher M . Estimation of entropy reduction and degrees of freedom for signal for large variational analysis systems . ECMWF Tech. Memo. No. 397 . 2003 ; 18 . Online at: http://old.ecmwf.int/publications/library/ecpublications/_pdf/tm/301-400/tm397.pdf .
    Search in Google ScholarBack to article
  14. Gallardo L. , Dawidowski L. , Rojas N. J. , Andrade M. F. , Osses M . Evaluation of vehicle emission inventories for carbon monoxide and nitrogen oxides for Bogo[tacute]a, Buenos Aires, Santiago, and Sao Paulo . Atmos. Environ . 2012 ; 47 : 12 – 19 .
    Search in Google ScholarBack to article
  15. Gómez-Losada A. , Lozano-García A. , Pino-Mejías R. , Contreras-González J . Finite mixture models to characterize and refine air quality monitoring networks . Sci. Total Environ . 2014 ; 485–486 : 292 – 299 .
    Search in Google ScholarBack to article
  16. Grell G. A. , Dudhiao J. , Stauffe D. R . A Description of the Fifth Generation Penn State/NCAR Mesoscale Model (MM5) . 1995 . NCAR Tech. Note TN-398+ STR, 1995 .
    Search in Google ScholarBack to article
  17. Horn R. , Johnson C . Matrix Analysis . 2012 ; Cambridge University Press, Cambridge .
    Search in Google ScholarBack to article
  18. Husain T. , Khan H . Shannon's entropy concept in optimum air monitoring network design . Sci. Total Environ . 1983 ; 30 : 181 – 190 .
    Search in Google ScholarBack to article
  19. Huttenlocher D. , Klanderman G. , Rucklidge W . Comparing images using the Hausdorff distance . IEEE Trans. Pattern Anal. Mach. Intell . 1993 ; 15 ( 9 ): 850 – 863 .
    Search in Google ScholarBack to article
  20. Johnson C . Information Content of Observations in Variational Data Assimilation . 2003 ; PhD Thesis. Department of Meteorology, The University of Reading, UK .
    Search in Google ScholarBack to article
  21. Kalnay E . Atmospheric Modeling, Data Assimilation and Predictability . 2003 ; Cambridge University Press, Cambridge .
    Search in Google ScholarBack to article
  22. Kanaroglou P. S. , Jerret M. , Morrison J. , Beckerman B. , Arain M. A. , co-authors . Establishing an air pollution monitoring network for intra-urban population exposure assessment: a location–allocation approach . Atmos. Environ . 2005 ; 39 : 2399 – 2409 .
    Search in Google ScholarBack to article
  23. Kao J. J. , Hsieh M. R . Utilizing multiobjective analysis to determine an air quality monitoring network in an industrial district . Atmos. Environ . 2006 ; 40 : 1092 – 1103 .
    Search in Google ScholarBack to article
  24. Kullback S . Information Theory and Statistics . 1959 ; Wiley, New York .
    Search in Google ScholarBack to article
  25. Lahoz W. A. , Schneider P . Data assimilation: making sense of Earth Observation . Front. Environ. Sci . 2014 ; 2 : 16 .
    Search in Google ScholarBack to article
  26. Langstaff J. , Seigneur C. , Mei-Kao L. , Behar J. , McElroy J. L . Design of an optimum air monitoring network for exposure assessments . Atmos. Environ . 1967 ; 21 : 1393 – 1410 .
    Search in Google ScholarBack to article
  27. Mallet V. , Quélo D. , Sportisse B. , Ahmed de Biasi M. , Debry E. , co-authors . Technical note: the air quality modeling system Polyphemus . Atmos. Chem. Phys. Discuss . 2007 ; 7 : 6459 – 6486 .
    Search in Google ScholarBack to article
  28. Mofarrah A. , Husain T . A holistic approach for optimal design of air quality monitoring network expansion in an urban area . Atmos. Environ . 2010 ; 44 ( 3 ): 432 – 440 .
    Search in Google ScholarBack to article
  29. Nychka D. , Saltzman N . Design of air-quality monitoring networks . Case Stud. Environ. Stat . 1998 ; 132 : 51 – 76 .
    Search in Google ScholarBack to article
  30. Osses A. , Gallardo L. , Faundez T . Analysis and evolution of air quality monitoring networks using combined statistical information indexes . Tellus B . 2013 ; 65 : 19822 . DOI: http://dx.doi.org/10.3402/tellusb.v65i0.19822 .
    Search in Google ScholarBack to article
  31. Rodgers C . Inverse methods of atmospheric sounding, theory and practice . Atmos. Ocean. Planet. Phys . 2000 ; 2 : 12 – 41 .
    Search in Google ScholarBack to article
  32. Romary T. , De Fouquet C. , Malherbe L . Sampling design for air quality measurement surveys: an optimization approach . Atmos. Environ . 2011 ; 45 : 3613 – 3620 .
    Search in Google ScholarBack to article
  33. Romary T. , Malherbe L. , Fouquet C . Optimal spatial design for air quality measurement surveys . Environmetrics . 2014 ; 25 : 16 – 28 .
    Search in Google ScholarBack to article
  34. Romero H. , Ordenes F . Emerging urbanization in the Southern Andes: environmental impacts of urban sprawl in Santiago de Chile on the Andean piedmont . Mt. Res. Dev . 2004 ; 24 : 197 – 201 .
    Search in Google ScholarBack to article
  35. Ruiz-Cárdenas R. , Ferreira M. , Schmidt A . Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs . Stat. Methodol . 2012 ; 9 ( 1–2 ): 185 – 194 .
    Search in Google ScholarBack to article
  36. Saide P. , Bocquet M. , Osses A. , Gallardo L . Constraining surface emissions of air pollutants using inverse modeling: method inter-comparison and a new two-step multiscale approach . Tellus B . 2011a ; 63 : 360 – 370 .
    Search in Google ScholarBack to article
  37. Saide P. , Carmichael G. , Spak S. , Gallardo L. , Osses A. , co-authors . Forecasting urban PM10 and PM2.5 pollution episodes in very stable nocturnal conditions and complex terrain using WRF-Chem CO tracer model . Atmos. Environ . 2011b ; 45 : 2769 – 2780 .
    Search in Google ScholarBack to article
  38. Saide P. , Osses A. , Gallardo L. , Osses M . Adjoint inverse modeling of a CO emission inventory at the city scale: Santiago de Chiles case . Atmos. Chem. Phys. Discuss . 2009 ; 9 : 6325 – 6361 .
    Search in Google ScholarBack to article
  39. Saunier O. , Bocquet M. , Mathieu A. , Isnard O . Model reduction via principal component truncation for the optimal design of atmospheric monitoring networks . Atmos. Environ . 2011 ; 43 : 4940 – 4950 .
    Search in Google ScholarBack to article
  40. Shannon C . A mathematical theory of communication . Bell Syst. Tech. J . 1948 ; 27 ( 3 ): 379 – 423 .
    Search in Google ScholarBack to article
  41. Shindo J. , Oi K. , Matsumoto Y . Considerations on air pollution monitoring network design in the light of spatio-temporal variations of data . Atmos. Environ. B Urban Atmos . 1990 ; 24 : 335 – 342 .
    Search in Google ScholarBack to article
  42. Singh K. , Sandu A. , Jardak M. , Bowman K. , Lee M . A practical method to estimate information content in the context of 4D-var data assimilation . SIAM/ASA J. Uncertain. Quantif . 2013 ; 1 : 106 – 138 .
    Search in Google ScholarBack to article
  43. Sturman A. , Titov M. , Zawar-Reza P . Selecting optimal monitoring site locations for peak ambient particulate material concentrations using the MM5-CAMx4 numerical modelling system . Sci. Total Environ . 2011 ; 409 : 810 – 821 .
    Search in Google ScholarBack to article
  44. Trujillo-Ventura A. , Ellis J. H . Multiobjective air pollution monitoring network design . Atmos. Environ. A Gen Topics . 1991 ; 25 : 469 – 479 .
    Search in Google ScholarBack to article
  45. Tseng C. , Chang N. B . Assessing relocation strategies of urban air quality monitoring stations by GA-based compromise programming . Environ. Int . 2001 ; 26 : 523 – 541 .
    Search in Google ScholarBack to article
  46. Wang K. , Ding Y. , Zhao H. , Hou L. , Sun F . Optimization of air pollutant monitoring stations based on genetic algorithm . Proceedings of the Emerging Intelligent Data and Web Technologies (EIDWT) Fourth International Conference on 2013 . 2013 . IEEE, 680–684. .
    Search in Google ScholarBack to article
  47. Wu L. , Bocquet M . Optimal redistribution of the background ozone monitoring stations over France . Atmos. Environ . 2011 ; 45 ( 3 ): 772 – 783 .
    Search in Google ScholarBack to article
  48. Wu L. , Bocquet M. , Chevallier M . Optimal reduction of the ozone monitoring network over France . Atmos. Environ . 2010 ; 44 ( 25 ): 3071 – 3083 .
    Search in Google ScholarBack to article
  49. Zhu T. , Melamed M. L. , Parrish D. , Gauss M. , Gallardo L. , co-authors . WMO/IGAC impacts of megacities on air pollution and climate. (GAW Report No. 205, 205) . 2012 ; Geneva : World Meteorological Organization .
    Search in Google ScholarBack to article
  50. Zidek J. V. , Shaddick G. , Taylor C. G . Reducing estimation bias in adaptively changing monitoring networks with preferential site selection . Ann. Appl. Stat . 2014 ; 8 : 1640 – 1670 .
    Search in Google ScholarBack to article
  51. Zidek J. V. , Sun W. , Le N. D . Designing and integrating composite networks for monitoring multivariate Gaussian pollution . Appl. Stat . 2000 ; 49 ( 1 ): 63 – 79 .
    Search in Google ScholarBack to article
  52. Zidek J. V. , Zimmerman D. L . Gelfand A. E. , Diggle P. J. , Fuentes M. , Guttorp P . Chapter 10. Monitoring network design . Handbook of Spatial Statistics . 2010 ; CRC Press, Taylor and Francis Group, New York . 131 – 148 .
    Search in Google ScholarBack to article
DOI: https://doi.org/10.3402/tellusb.v67.25385 | Journal eISSN: 1600-0889
Journal RSS Feed
Language: English
Page range: 25385 - 25385
Submitted on: Jul 4, 2015
Accepted on: Aug 11, 2015
Published on: Jan 1, 2015
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
optimal network design,
air pollution,
variational framework

© 2015 Adolfo Henriquez, Axel Osses, Laura Gallardo, Melisa Diaz Resquin, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 67 (2015): Issue 1
Previous article
Next article