The Summer Simmer Index

Pepi, John W.

doi:10.1080/00431672.1987.9933356

Cited by 24 publications

(13 citation statements)

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“…For instance, in several regions in the of the center of Iran, the relative humidity is as low as 20-30% while the dry bulb temperature reaches 50° C.It should also be mentioned that SSI can only be calculated for air temperatures between +22°C and +53°C. Above +53°C, the index only displays values which indicate a fairly warm bioclimate and induces considerable bioclimatic discomfort due to overheating (Pepi 1987, Pepi 2000. In a research on applicability of SSI for different time intervals and air temperatures, the findings showed that the SSI cannot be used with satisfactory results when the air temperatures were up to 14°C (Mihăilă, Bistricean et al 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Summer Simmer Index (SSI), is a temperature-humidity based index, introduced first by Pepi in 1987 and developed by other researchers (Pepi 1987). It provides a proven indicator of heat stress concerns and discomfort using meaningful equivalent temperature values for general public acceptance and awareness (Pepi 1987, Pepi 2000, Tzenkova, Ivancheva et al 2007, Alfano, Palella et al 2010, Morcotet 2012. The new SSI is the only temperature-humidity index that uses the sults from proven physiological models and human tests.…”

Section: Summer Simmer Index (Ssi)mentioning

confidence: 99%

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Investigation of Thermal Comfort Changes Using Summer Simmer Index (SSI): A Case Study in Different Climates of Iran

Asghari¹,

Ghalhari²,

Heidari³

2021

TOECOLJ

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Objective: This study aimed to assess the thermal comfort trend using a metrological parameter based on the Summer Simmer Index (SSI), for different climates of Iran between 1985 and 2014. Methods: This is a Time-series study. The new SSI was calculated using metrological data in a 30 year- period for illustrating the changes to the thermal comfort or discomfort level through summer months in different climates of Iran. Mann- Kendall test and Sen's Slope were used to compare the upward or downward trend of the index during this period. Results: The worst thermal condition was observed in the southern and central regions of the country. A few stations were put in comfort zone (77≤SSI<83°F). The fluctuations of SSI were not considerable during the study period (P<0.001). However, a commonly upward trend was observed, indicating rising temperature. This initial assessment, which can be reported daily along with other atmospheric parameters at meteorological stations, could play a significant role in reducing the heat-related complications among exposed individuals and a basis for taking appropriate protective measures. Conclusion: Based on the results obtained in this study, which has been investigated in Iran for a long period of time, considering intrinsic features of the SSI index, such as ease of calculation and interpretation and also the possibility of calculating the index using daily reported meteorological data, the use of SSI as a screening index of thermal stress in order to adopt preventive policies in outdoor settings in climates of Iran is recommended.

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Section: Discussionmentioning

confidence: 99%

Section: Summer Simmer Index (Ssi)mentioning

confidence: 99%

Investigation of Thermal Comfort Changes Using Summer Simmer Index (SSI): A Case Study in Different Climates of Iran

Asghari¹,

Ghalhari²,

Heidari³

2021

TOECOLJ

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“…Çalışma kapsamında il genelindeki biyokonfor durumu Yaz Sıcaklı İndeksi (SSI) kullanılarak hesaplanmıştır (Pepi, 1987). Bir çok çalışmada yaz ayları için biyoklimatik konfor koşullarının belirlenmesi amacıyla bu indeks tercih edilmektedir (Zhu ve ark., 2019;Sancar ve Güngör, 2020).…”

Section: Yöntemunclassified

CBS Yardımıyla Yaz Sıcaklık İndeksi Kullanılarak Biyokonfor Açısından Uygun Alanların Belirlenmesi; Samsun Örneği

Arıcak

2020

Turkish JAF Sci.Tech.

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Biocomfort conditions, which are related to climate parameters, are a factor that affect almost every aspect of people’s lives. Compatibility in terms of biocomfort also brings many advantages and disadvantages in areas where tourism activities are carried out. For this reason, it is of great importance to identify areas that are suitable and not suitable for biocomfort during the tourism season, especially in areas where tourism activities are carried out. In this study, with the help of GIS, it was aimed to determine the areas that are suitable and not suitable for biocomfort in the city of Samsun in June, July, August and September by using the summer temperature index (Summer Simmer Index = SSI). As a result of the study, it was determined that 1.41% of the province in June and 16.65% in September remained in the cold zone. Apart from this, it was determined that 11.58% of the province in June, 33.27% in July, 21.77% in August and 14.3% in September remained in the second generation, which is considered the most comfortable belt.

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“…Ionac and Ciulache, Scharlau (1950) Missenard (1937) [6] Thom and Bosen (1959) [7] Masterton and Richardson (1979) [8], Pepi (2000) [9] and [9b] Scharlau (1950) *where 'Tusc' and 't' are the dry-bulb temperature measured inside the meteorological shelter (°C), 'Tc' is the critical temperature (°C) 'V', 'v' and 'v1' represent wind velocity (m/s -1 ), 'f' and 'UR' are the relative air humidity (%) and 'e' the actual water vapor pressure (hPa).…”

Section: Calculation Formulas* Referencesmentioning

confidence: 99%

Bioclimatic regionalization of Moldova west of the Prut River

Bistricean¹,

Mihăilă²,

Liliana³

2017

Present Environment and Sustainable Development

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Abstract. Bioclimatic research for the regionalization of Moldova west of the Prut River (hereinafter Moldova), focused on the use of various climate indexes, is scarce. Using 9 bioclimatic indexes (THI, Pr, Tpr, ISH, TEE, DI THOM, HUMIDEX, SSI and ISE) calculated based on statistical and cartographic methods, we identified, delineated and outlined the major characteristics of the three bioclimates of Moldova. Following our analysis, three bioclimatic regions were identified: the cold, wet and windy bioclimate, the comfortable bioclimate and the warm-dry and contrasting bioclimate. They fall broadly within the existing bioclimatic regionalization and provide new, complementary quantitative and qualitative information.

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The Summer Simmer Index

Cited by 24 publications

References 0 publications

Investigation of Thermal Comfort Changes Using Summer Simmer Index (SSI): A Case Study in Different Climates of Iran

Investigation of Thermal Comfort Changes Using Summer Simmer Index (SSI): A Case Study in Different Climates of Iran

CBS Yardımıyla Yaz Sıcaklık İndeksi Kullanılarak Biyokonfor Açısından Uygun Alanların Belirlenmesi; Samsun Örneği

Bioclimatic regionalization of Moldova west of the Prut River

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