2021
DOI: 10.1016/j.envres.2021.111232
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Assessing mortality risk attributable to high ambient temperatures in Ahmedabad, 1987 to 2017

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Cited by 18 publications
(8 citation statements)
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References 23 publications
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“…Given constraints in computational resources and consistent with prior analyses, four months were selected in each modeled year, 2018 (baseline) and 2030 (future), to represent critical air pollution seasons: January (representing winter, December–February), May (representing summer/pre-monsoon, March–May), July (representing monsoon/rainy season, June–September), and October (representing post-monsoon/autumn, October–November). These seasonal period categorizations are consistent with those in prior published work by the Indian Institute of Tropical Meteorology, Indian Institute of Public Health-Gandhinagar, and the India Meteorological Department (Parthasarathy et al 1987 , Sanjay et al 2020 , Beig et al 2021 , Wei et al 2021 ). Based on that seasonal representation, we calculated a manually-weighted daily city average PM 2.5 level to characterize the annual concentration across the city.…”
Section: Methodssupporting
confidence: 89%
“…Given constraints in computational resources and consistent with prior analyses, four months were selected in each modeled year, 2018 (baseline) and 2030 (future), to represent critical air pollution seasons: January (representing winter, December–February), May (representing summer/pre-monsoon, March–May), July (representing monsoon/rainy season, June–September), and October (representing post-monsoon/autumn, October–November). These seasonal period categorizations are consistent with those in prior published work by the Indian Institute of Tropical Meteorology, Indian Institute of Public Health-Gandhinagar, and the India Meteorological Department (Parthasarathy et al 1987 , Sanjay et al 2020 , Beig et al 2021 , Wei et al 2021 ). Based on that seasonal representation, we calculated a manually-weighted daily city average PM 2.5 level to characterize the annual concentration across the city.…”
Section: Methodssupporting
confidence: 89%
“…Solar radiation heat gain mainly comes from skylights, side windows and external doors. The intensity of scattered radiation was measured for each opening as well as inside the depot, as shown in equation (9).…”
Section: Solar Radiationmentioning
confidence: 99%
“…4,5 In severe cases, it increases the risk of stroke, 6 causing abnormal blood pressure 7 and abnormal heartbeat. 8,9 Researchers usually use some thermal environment indicators to evaluate indoor and outdoor environments, such as Temperature Humidity Index, 10,11 Wet Bulb Globe Temperature (WBGT), 12 Universal Thermal Climate Index (UTCI), 13,14 Thermal Strain Index (TSI) and Predicted Heat Strain(PHS). 15 Amongst the more than one hundred parameters describing the thermal stress index, the wet bulb globe temperature (WBGT) was found the most suitable index for humans exposed to hot environments.…”
Section: Introductionmentioning
confidence: 99%
“…54. Wei et al (2021). 55. periods with high rainfall (57) and significant associations between lower temperatures and years of life lost.…”
Section: Scott Et Al (2017)mentioning
confidence: 99%