Assessment of impact of unaccounted emission on ambient concentration using DEHM and AERMOD in combination with WRF

Awkash Kumar, Rashmi S. Patil, Anil Kumar Dikshit, Rakesh Kumar, Jørgen Brandt, Ole Hertel

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

The accuracy of the results from an air quality model is governed by the quality of emission and meteorological data inputs in most of the cases. In the present study, two air quality models were applied for inverse modelling to determine the particulate matter emission strengths of urban and regional sources in and around Mumbai in India. The study takes outset in an existing emission inventory for Total Suspended Particulate Matter (TSPM). Since it is known that the available TSPM inventory is uncertain and incomplete, this study will aim for qualifying this inventory through an inverse modelling exercise. For use as input to the air quality models in this study, onsite meteorological data has been generated using the Weather Research Forecasting (WRF) model. The regional background concentration from regional sources is transported in the atmosphere from outside of the study domain. The regional background concentrations of particulate matter were obtained from model calculations with the Danish Eulerian Hemisphere Model (DEHM) for regional sources. The regional background concentrations obtained from DEHM were then used as boundary concentrations in AERMOD calculations of the contribution from local urban sources. The results from the AERMOD calculations were subsequently compared with observed concentrations and emission correction factors obtained by best fit of the model results to the observed concentrations. The study showed that emissions had to be up-scaled by between 14 and 55% in order to fit the observed concentrations; this is of course when assuming that the DEHM model describes the background concentration level of the right magnitude.
OriginalsprogEngelsk
TidsskriftAtmospheric Environment
Vol/bind142
Sider (fra-til)406-413
ISSN1352-2310
DOI
StatusUdgivet - 2016

Emneord

  • AIR-QUALITY MANAGEMENT
  • HEALTH-COST EXTERNALITIES
  • EVA MODEL SYSTEM
  • FORECASTING-MODEL
  • WEATHER RESEARCH
  • URBAN-SCALE
  • POLLUTION MODEL
  • HONG-KONG
  • INVENTORY
  • CHINA

Citer dette

Kumar, Awkash ; Patil, Rashmi S. ; Dikshit, Anil Kumar ; Kumar, Rakesh ; Brandt, Jørgen ; Hertel, Ole. / Assessment of impact of unaccounted emission on ambient concentration using DEHM and AERMOD in combination with WRF. I: Atmospheric Environment. 2016 ; Bind 142. s. 406-413 .
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abstract = "The accuracy of the results from an air quality model is governed by the quality of emission and meteorological data inputs in most of the cases. In the present study, two air quality models were applied for inverse modelling to determine the particulate matter emission strengths of urban and regional sources in and around Mumbai in India. The study takes outset in an existing emission inventory for Total Suspended Particulate Matter (TSPM). Since it is known that the available TSPM inventory is uncertain and incomplete, this study will aim for qualifying this inventory through an inverse modelling exercise. For use as input to the air quality models in this study, onsite meteorological data has been generated using the Weather Research Forecasting (WRF) model. The regional background concentration from regional sources is transported in the atmosphere from outside of the study domain. The regional background concentrations of particulate matter were obtained from model calculations with the Danish Eulerian Hemisphere Model (DEHM) for regional sources. The regional background concentrations obtained from DEHM were then used as boundary concentrations in AERMOD calculations of the contribution from local urban sources. The results from the AERMOD calculations were subsequently compared with observed concentrations and emission correction factors obtained by best fit of the model results to the observed concentrations. The study showed that emissions had to be up-scaled by between 14 and 55{\%} in order to fit the observed concentrations; this is of course when assuming that the DEHM model describes the background concentration level of the right magnitude.",
keywords = "AIR-QUALITY MANAGEMENT, HEALTH-COST EXTERNALITIES, EVA MODEL SYSTEM, FORECASTING-MODEL, WEATHER RESEARCH, URBAN-SCALE, POLLUTION MODEL, HONG-KONG, INVENTORY, CHINA, AIR-QUALITY MANAGEMENT, HEALTH-COST EXTERNALITIES, EVA MODEL SYSTEM, FORECASTING-MODEL, WEATHER RESEARCH, POLLUTION MODEL, URBAN-SCALE, HONG-KONG, INVENTORY, CHINA",
author = "Awkash Kumar and Patil, {Rashmi S.} and Dikshit, {Anil Kumar} and Rakesh Kumar and J{\o}rgen Brandt and Ole Hertel",
year = "2016",
doi = "10.1016/j.atmosenv.2016.08.024",
language = "English",
volume = "142",
pages = "406--413",
journal = "Atmospheric Environment",
issn = "1352-2310",
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Assessment of impact of unaccounted emission on ambient concentration using DEHM and AERMOD in combination with WRF. / Kumar, Awkash; Patil, Rashmi S.; Dikshit, Anil Kumar; Kumar, Rakesh; Brandt, Jørgen; Hertel, Ole.

I: Atmospheric Environment, Bind 142, 2016, s. 406-413 .

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Assessment of impact of unaccounted emission on ambient concentration using DEHM and AERMOD in combination with WRF

AU - Kumar, Awkash

AU - Patil, Rashmi S.

AU - Dikshit, Anil Kumar

AU - Kumar, Rakesh

AU - Brandt, Jørgen

AU - Hertel, Ole

PY - 2016

Y1 - 2016

N2 - The accuracy of the results from an air quality model is governed by the quality of emission and meteorological data inputs in most of the cases. In the present study, two air quality models were applied for inverse modelling to determine the particulate matter emission strengths of urban and regional sources in and around Mumbai in India. The study takes outset in an existing emission inventory for Total Suspended Particulate Matter (TSPM). Since it is known that the available TSPM inventory is uncertain and incomplete, this study will aim for qualifying this inventory through an inverse modelling exercise. For use as input to the air quality models in this study, onsite meteorological data has been generated using the Weather Research Forecasting (WRF) model. The regional background concentration from regional sources is transported in the atmosphere from outside of the study domain. The regional background concentrations of particulate matter were obtained from model calculations with the Danish Eulerian Hemisphere Model (DEHM) for regional sources. The regional background concentrations obtained from DEHM were then used as boundary concentrations in AERMOD calculations of the contribution from local urban sources. The results from the AERMOD calculations were subsequently compared with observed concentrations and emission correction factors obtained by best fit of the model results to the observed concentrations. The study showed that emissions had to be up-scaled by between 14 and 55% in order to fit the observed concentrations; this is of course when assuming that the DEHM model describes the background concentration level of the right magnitude.

AB - The accuracy of the results from an air quality model is governed by the quality of emission and meteorological data inputs in most of the cases. In the present study, two air quality models were applied for inverse modelling to determine the particulate matter emission strengths of urban and regional sources in and around Mumbai in India. The study takes outset in an existing emission inventory for Total Suspended Particulate Matter (TSPM). Since it is known that the available TSPM inventory is uncertain and incomplete, this study will aim for qualifying this inventory through an inverse modelling exercise. For use as input to the air quality models in this study, onsite meteorological data has been generated using the Weather Research Forecasting (WRF) model. The regional background concentration from regional sources is transported in the atmosphere from outside of the study domain. The regional background concentrations of particulate matter were obtained from model calculations with the Danish Eulerian Hemisphere Model (DEHM) for regional sources. The regional background concentrations obtained from DEHM were then used as boundary concentrations in AERMOD calculations of the contribution from local urban sources. The results from the AERMOD calculations were subsequently compared with observed concentrations and emission correction factors obtained by best fit of the model results to the observed concentrations. The study showed that emissions had to be up-scaled by between 14 and 55% in order to fit the observed concentrations; this is of course when assuming that the DEHM model describes the background concentration level of the right magnitude.

KW - AIR-QUALITY MANAGEMENT

KW - HEALTH-COST EXTERNALITIES

KW - EVA MODEL SYSTEM

KW - FORECASTING-MODEL

KW - WEATHER RESEARCH

KW - URBAN-SCALE

KW - POLLUTION MODEL

KW - HONG-KONG

KW - INVENTORY

KW - CHINA

KW - AIR-QUALITY MANAGEMENT

KW - HEALTH-COST EXTERNALITIES

KW - EVA MODEL SYSTEM

KW - FORECASTING-MODEL

KW - WEATHER RESEARCH

KW - POLLUTION MODEL

KW - URBAN-SCALE

KW - HONG-KONG

KW - INVENTORY

KW - CHINA

U2 - 10.1016/j.atmosenv.2016.08.024

DO - 10.1016/j.atmosenv.2016.08.024

M3 - Journal article

VL - 142

SP - 406

EP - 413

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -