Literature DB >> 27933447

Indian summer heat wave of 2015: a biometeorological analysis using half hourly automatic weather station data with special reference to Andhra Pradesh.

M A Sarath Chandran1, A V M Subba Rao2, V M Sandeep2, V P Pramod2, P Pani2, V U M Rao2, V Visha Kumari2, Ch Srinivasa Rao2.   

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 "area 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.

Entities:  

Keywords:  AWS; Death rate; Duration; Heat wave; Intensity; PET

Mesh:

Year:  2016        PMID: 27933447     DOI: 10.1007/s00484-016-1286-9

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  8 in total

1.  Applications of a universal thermal index: physiological equivalent temperature.

Authors:  A Matzarakis; H Mayer; M G Iziomon
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

2.  The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment.

Authors:  P Höppe
Journal:  Int J Biometeorol       Date:  1999-10       Impact factor: 3.787

3.  Heat stress in Greece.

Authors:  A Matzarakis; H Mayer
Journal:  Int J Biometeorol       Date:  1997-07       Impact factor: 3.787

4.  How to estimate exposure when studying the temperature-mortality relationship? A case study of the Paris area.

Authors:  Laura Schaeffer; Perrine de Crouy-Chanel; Vérène Wagner; Julien Desplat; Mathilde Pascal
Journal:  Int J Biometeorol       Date:  2015-05-15       Impact factor: 3.787

5.  Comparison of UTCI to selected thermal indices.

Authors:  Krzysztof Blazejczyk; Yoram Epstein; Gerd Jendritzky; Henning Staiger; Birger Tinz
Journal:  Int J Biometeorol       Date:  2011-05-26       Impact factor: 3.787

Review 6.  Heat balance modelling.

Authors:  P R Höppe
Journal:  Experientia       Date:  1993-09-15

7.  Increased mortality associated with extreme-heat exposure in King County, Washington, 1980-2010.

Authors:  Tania Busch Isaksen; Richard A Fenske; Elizabeth K Hom; You Ren; Hilary Lyons; Michael G Yost
Journal:  Int J Biometeorol       Date:  2015-05-10       Impact factor: 3.787

8.  Heat-related mortality in India: excess all-cause mortality associated with the 2010 Ahmedabad heat wave.

Authors:  Gulrez Shah Azhar; Dileep Mavalankar; Amruta Nori-Sarma; Ajit Rajiva; Priya Dutta; Anjali Jaiswal; Perry Sheffield; Kim Knowlton; Jeremy J Hess
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

  8 in total
  2 in total

1.  Deadly heat waves projected in the densely populated agricultural regions of South Asia.

Authors:  Eun-Soon Im; Jeremy S Pal; Elfatih A B Eltahir
Journal:  Sci Adv       Date:  2017-08-02       Impact factor: 14.136

2.  New approach to identifying proper thresholds for a heat warning system using health risk increments.

Authors:  Yu-Ting Cheng; Shih-Chun Candice Lung; Jing-Shiang Hwang
Journal:  Environ Res       Date:  2018-12-26       Impact factor: 6.498

  2 in total

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