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http://krishi.icar.gov.in/jspui/handle/123456789/57608
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | M.A. Sarath Chandran | en_US |
dc.contributor.author | A.V.M. Subba Rao | en_US |
dc.contributor.author | V. M. Sandeep | en_US |
dc.contributor.author | V. P. Pramod | en_US |
dc.contributor.author | P. Pani | en_US |
dc.contributor.author | V.U.M. Rao | en_US |
dc.contributor.author | V. Visha Kumari | en_US |
dc.contributor.author | Ch. Srinivasa Rao | en_US |
dc.date.accessioned | 2021-08-17T09:53:32Z | - |
dc.date.available | 2021-08-17T09:53:32Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Sarath Chandran, M.A., Rao, A.S., Sandeep, V.M., Pramod, V.P., Pani, P., Rao, V.U.M., Kumari, V.V. and Rao, C.S., 2017. Indian summer heat wave of 2015: a biometeorological analysis using half hourly automatic weather station data with special reference to Andhra Pradesh. International journal of biometeorology, 61(6), pp.1063-1072.ot Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/57608 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Heat wave is a hazardous weather-related extreme event that affects living beings. The 2015 summer heat wave affected many regions in India and caused the death of 2248 people across the country. An attempt has been made to quantify the intensity and duration of heat wave that resulted in high mortality across the country. Half hourly Physiologically Equivalent Temperature (PET), based on a complete heat budget of human body, was estimated using automatic weather station (AWS) data of four locations in Andhra Pradesh state, where the maximum number of deaths was reported. The heat wave characterization using PET revealed that extreme heat load conditions (PET >41) existed in all the four locations throughout May during 2012–2015, with varying intensity. The intensity and duration of heat waves characterized by Barea under the curve^ method showed good results for Srikakulam and Undi locations. Variations in PET during each half an hour were estimated. Such studies will help in fixing thresholds for defining heat waves, designing early warning systems, etc. | en_US |
dc.description.sponsorship | NICRA project | en_US |
dc.language.iso | English | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Heat wave | en_US |
dc.subject | PET | en_US |
dc.subject | AWS | en_US |
dc.subject | Intensity | en_US |
dc.subject | Duration | en_US |
dc.title | Indian summer heat wave of 2015: a biometeorological analysis using half hourly automatic weather station data with special reference to Andhra Pradesh | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | NICRA/26 | en_US |
dc.publication.journalname | International Journal of Biometeorology | en_US |
dc.publication.volumeno | 61 | en_US |
dc.publication.pagenumber | 1063–1072 | en_US |
dc.publication.divisionUnit | AICRP on Agrometeorology | en_US |
dc.publication.sourceUrl | DOI 10.1007/s00484-016-1286-9 | en_US |
dc.publication.authorAffiliation | ICAR::Central Research Institute of Dryland Agriculture | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 8.68 | en_US |
dc.publication.impactfactor | 3.787 | en_US |
Appears in Collections: | NRM-CRIDA-Publication |
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