About: Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India

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About: Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India Goto Sponge NotDistinct Permalink

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rdf:type	Item
description	article (en) wetenschappelijk artikel (nl) наукова стаття, опублікована в березні 2007 (uk) im März 2007 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q58202134-8F257D5D-7D78-49E4-B196-8A085F150DE0
publication date	2007-03-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q58202134-7DD8B331-1FC0-44CB-9C43-B4468746F67D wds:Q58202134-9F113458-AC60-4B5F-8998-FB87682BE693 wds:Q58202134-A51ABBAE-44B0-4199-B4A0-8A379CE557F6 wds:Q58202134-BF0A16F8-4CC0-44F8-ABB1-1036EE36A15D
author name string	Mohit Dalvi Amit P. Kesarkar Akshara Kaginalkar Ajay Ojha
rdfs:label	Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (en) Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (nl)
skos:prefLabel	Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (en) Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (nl)
name	Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (en) Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (nl)
title	wds:Q58202134-0524E327-BDE4-4C71-A827-4A552B13E824
title	Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India (en)
page(s)	wds:Q58202134-02668B20-7F57-4352-9D3A-36B795257BA9
page(s)	1976-1988
instance of	wds:Q58202134-55942556-13FC-41CA-9142-F36ED4FA53AC
instance of	scholarly article
main subject	wds:Q58202134-118D4B62-482B-4467-BC14-B680ACE5D139
main subject	India
published in	wds:Q58202134-F9E83433-66C1-4B81-933A-6E006AACA8AD
published in	Atmospheric Environment
issue	wds:Q58202134-EF0B355E-048A-44F1-8BB0-710AC83A30C7
volume	wds:Q58202134-DBE881AB-8917-4745-B58F-7B4E4F068A8A
issue	9
volume	41
DOI	wds:Q58202134-9B269CD1-8BFE-4410-B896-5E8C027BE85E
DOI	http://dx.doi.org/10.1016/J.ATMOSENV.2006.10.042
DOI	10.1016/J.ATMOSENV.2006.10.042
ADS bibcode	wds:Q58202134-E7860220-2405-4998-845D-B656F75E1446
ADS bibcode	2007AtmEn..41.1976K
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58202134
is cites work of	Application and evaluation of AERMOD on the assessment of particulate matter pollution caused by industrial activities in the Greater Thessaloniki area. Loose-coupling an air dispersion model and a geographic information system (GIS) for studying air pollution and asthma in the Bronx, New York City Chemical Characterization and Source Apportionment of PM2.5 in a Nonattainment Rocky Mountain Valley. Particulate matter and markers of glycemic control and insulin resistance in type 2 diabetic patients: result from Wellcome Trust Genetic study. Application of the AERMOD modeling system for environmental impact assessment of NO2 emissions from a cement complex Spatio-Temporal Variation and Futuristic Emission Scenario of Ambient Nitrogen Dioxide over an Urban Area of Eastern India Using GIS and Coupled AERMOD-WRF Model Comparison of predicted vehicular pollution concentration with air quality standards for different time periods Application of AERMOD on near future air quality simulation under the latest national emission control policy of China: a case study on an industrial city MOVES-Matrix and distributed computing for microscale line source dispersion analysis A Modeling Study of Impact of Emission Control Strategies on PM2.5Reductions in Zhongshan, China, Using WRF-CMAQ Application of an integrated WRF/CALPUFF modeling tool for source apportionment of atmospheric pollutants for air quality management: a case study in the urban area of Benxi, China.
is cites work of	wds:Q44243061-0607398B-898F-4FE4-82C0-E43DB31DA65A wds:Q52596404-B48EE6F1-7B37-4399-BD06-2A436694E2AC wds:Q56911079-D299338B-4627-448B-8B65-765370DD530D wds:Q36271888-8581DB00-66A5-432F-BAD1-462CD917F843 wds:Q43464482-3A49AE10-FE87-417D-AEED-BD6A364EC3FF wds:Q57113520-19F53F47-3CB7-4785-9FA3-32F7CF7A2135 wds:Q36265134-A31985D1-7526-4ECC-91B7-6CB9961D3E62 wds:Q59122084-E3C0F4B1-1D20-42E3-A514-5178C459B5C4 wds:Q39251716-E4926A28-8C5B-4D69-AD3F-857E1B82C4D8 wds:Q47579674-876CEDD5-E81D-4642-9187-8B4D37357295 wds:Q47262807-DAED8215-51ED-4B4B-868E-52406200CE7B

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