In urban areas roads surrounded by high rise buildings cause trapping of respirable suspended particulate matter, PM2.5 in the lower regions. Under these situations it is very desirable to know the location of the trapped pollutants in order to find ways to mitigate their health effects. The present study focuses on the identification/prediction of such critical locations using CAL3QHC model.
Technology Partners: MimirTech
Links:
[1] http://admin.indiaenvironmentportal.org.in/feature-article/pm25-predictions-congested-urban-street-using-cal3qhc-model
[2] http://admin.indiaenvironmentportal.org.in/category/author/m-t-qutebha
[3] http://admin.indiaenvironmentportal.org.in/category/author/n-c-gupta
[4] http://admin.indiaenvironmentportal.org.in/category/author/d-v-kafeel-ahmad
[5] http://admin.indiaenvironmentportal.org.in/category/journal/indian-journal-air-pollution-control
[6] http://admin.indiaenvironmentportal.org.in/category/thesaurus/pm-25
[7] http://admin.indiaenvironmentportal.org.in/category/thesaurus/air-pollution
[8] http://admin.indiaenvironmentportal.org.in/category/thesaurus/urban-air-quality
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/vehicular-pollution
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/health-effects
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/delhi
[12] http://admin.indiaenvironmentportal.org.in/category/thesaurus/air-quality-monitoring
