A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations

V. Singh; C. Carnevale; G. Finzi; E. Pisoni; M. Volta

doi:10.1016/j.envsoft.2010.11.014

A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations

V. Singh
, C. Carnevale
, G. Finzi
, E. Pisoni
, M. Volta

Centre for Atmospheric and Climate Physics Research

Research output: Contribution to journal › Article › peer-review

52 Citations (Scopus)

Abstract

One of the aims of regional Environmental Authorities is to provide citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed to estimate 8-h mean daily maximum ozone concentrations and daily mean PM10 concentrations over a domain, starting from measured concentration values. The presented approach is based on a cokriging technique, using the results of a deterministic Chemical Transport Model (CTM) simulation as secondary variable. The developed methodology has been tested over a 60 × 60 km domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europe

Original language	English
Pages (from-to)	778-786
Number of pages	9
Journal	Environmental Modelling and Software
Volume	26
Issue number	6
DOIs	https://doi.org/10.1016/j.envsoft.2010.11.014
Publication status	Published - 1 Jun 2011

Access to Document

10.1016/j.envsoft.2010.11.014

Cite this

@article{ec922104218a4c01a5196f31813026df,

title = "A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations",

abstract = "One of the aims of regional Environmental Authorities is to provide citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed to estimate 8-h mean daily maximum ozone concentrations and daily mean PM10 concentrations over a domain, starting from measured concentration values. The presented approach is based on a cokriging technique, using the results of a deterministic Chemical Transport Model (CTM) simulation as secondary variable. The developed methodology has been tested over a 60 × 60 km domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europe",

author = "V. Singh and C. Carnevale and G. Finzi and E. Pisoni and M. Volta",

year = "2011",

month = jun,

day = "1",

doi = "10.1016/j.envsoft.2010.11.014",

language = "English",

volume = "26",

pages = "778--786",

journal = "Environmental Modelling and Software",

issn = "1364-8152",

publisher = "Elsevier",

number = "6",

}

TY - JOUR

T1 - A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations

AU - Singh, V.

AU - Carnevale, C.

AU - Finzi, G.

AU - Pisoni, E.

AU - Volta, M.

PY - 2011/6/1

Y1 - 2011/6/1

N2 - One of the aims of regional Environmental Authorities is to provide citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed to estimate 8-h mean daily maximum ozone concentrations and daily mean PM10 concentrations over a domain, starting from measured concentration values. The presented approach is based on a cokriging technique, using the results of a deterministic Chemical Transport Model (CTM) simulation as secondary variable. The developed methodology has been tested over a 60 × 60 km domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europe

AB - One of the aims of regional Environmental Authorities is to provide citizens information about the quality of the atmosphere over a certain region. To reach this objective Environmental Authorities need suitable tools to interpolate the data coming from monitoring networks to domain locations where no measures are available. In this work a spatial interpolation system has been developed to estimate 8-h mean daily maximum ozone concentrations and daily mean PM10 concentrations over a domain, starting from measured concentration values. The presented approach is based on a cokriging technique, using the results of a deterministic Chemical Transport Model (CTM) simulation as secondary variable. The developed methodology has been tested over a 60 × 60 km domain located in Northern Italy, including Milan metropolitan area, one of the most polluted areas in Europe

UR - https://www.scopus.com/pages/publications/79951727206

U2 - 10.1016/j.envsoft.2010.11.014

DO - 10.1016/j.envsoft.2010.11.014

M3 - Article

AN - SCOPUS:79951727206

SN - 1364-8152

VL - 26

SP - 778

EP - 786

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

IS - 6

ER -

A cokriging based approach to reconstruct air pollution maps, processing measurement station concentrations and deterministic model simulations

Abstract

Access to Document

Other files and links

Fingerprint

Cite this