Perceived heat stress increases with population density in urban Philippines

Zander, Kerstin K.; Cadag, Jake Rom; Escarcha, Jacquelyn F.; Garnett, Stephen T.

doi:10.1088/1748-9326/aad2e5

Cited by 52 publications

(30 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3b and 4). In fact, a recent study of perceived heat stress in the urban Philippines showed that the level of heat stress increased with population density 20 .…”

Section: Discussionmentioning

confidence: 99%

“…Its most important negative consequences include increased mortality and morbidity, human discomfort, increased energy consumption and greenhouse gas emissions, and impaired air and water quality 18,19 . Increases in urban temperatures also cause heat stress in people, harming their health and impairing their wellbeing and productivity 20 . Thus, the UHI phenomenon not only diminishes the quality of urban ecological environments, but also affects the overall livability of urban areas and cities 11,21 .…”

mentioning

confidence: 99%

“…Previous heat riskrelated studies in some cities and metropolitan regions of the country have come from the field of public health 35,36 , but they were not necessarily conceptualized according to the IPCC AR5's risk framework. Other studies have focused on perceived heat stress in urban Philippines and how heat stress has affected intentions to move as an adaptation strategy 20,37 .…”

mentioning

confidence: 99%

See 2 more Smart Citations

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

et al. 2020

View full text Add to dashboard Cite

More than half of the world's population currently live in urban areas and are particularly at risk from the combined effects of the urban heat island phenomenon and heat increases due to climate change. Here, by using remotely sensed surface temperature data and socialecological indicators, focusing on the hot dry season, and applying the risk framework of the Intergovernmental Panel on Climate Change, we assessed the current heat health risk in 139 Philippine cities, which account for about 40% of the country's total population. The cities at high or very high risk are found in Metro Manila, where levels of heat hazard and exposure are high. The most vulnerable cities are, however, found mainly outside the national capital region, where sensitivity is higher and capacity to cope and adapt is lower. Cities with high levels of heat vulnerability and exposure must be prioritized for adaptation. Our results will contribute to risk profiling in the Philippines and to the understanding of city-level heat health risks in developing regions of the Asia-Pacific.

show abstract

“…3b and 4). In fact, a recent study of perceived heat stress in the urban Philippines showed that the level of heat stress increased with population density 20 .…”

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Health is one of the dominant factors affecting susceptibility to both heat stress [35,71,72,93,94] and cold stress [74,95]. Employees with recurring illness and painful symptoms are more likely to report heat and cold stress than employees without these health problems [74,79,95].…”

Section: Methodsmentioning

confidence: 99%

Socio-Economic Impact of and Adaptation to Extreme Heat and Cold of Farmers in the Food Bowl of Nepal

Budhathoki

Zander

2019

IJERPH

View full text Add to dashboard Cite

Farmers worldwide have to deal with increasing climate variability and weather extremes. Most of the previous research has focused on impacts on agricultural production, but little is known about the related social and economic impacts on farmers. In this study, we investigated the social and economic impact of extreme weather events (EWE) on farmers in Nepal, and explored how they coped with and adapted to heat waves and cold spells between 2012 and 2017. To address these aims, we conducted a survey of 350 farms randomly selected from the Bardiya and Banke districts of the Terai lowlands of Nepal. They were specifically asked to rate the impacts of extreme temperatures, as well as their effect on labour productivity and collective farmer health, and the detailed preventative measures they had implemented. About 84% of the farmers self-reported moderate or severe heat stress during the last five years, and about 85%, moderate or severe cold stress. Likewise, the majority of respondents reported that both farmer health and labour productivity had been compromised by EWEs. Productivity loss had a strong association with the perceived levels of heat and cold stress, which, in turn, were more likely to be reported by farmers with previous EWE experience. Potentially due to the increased care required during EWEs, those farmers with livestock reported increased heat and cold stress, as, surprisingly, did those who had implemented adaptation measures. Farmers seemed to be less prepared for potential threats of cold spells than heat waves, and therefore less likely to adopt coping strategies, since these are a recent phenomenon. This study identified some limitations. The cross sectional and self-reported data, as a common source of information to estimate health impact, level of heat/cold stress and labour productivity loss. Community-based education/community engagement programs could be developed to facilitate proactive adaptation.

show abstract

“…At present, research on urban heat environment risk focuses on mapping heat risk and vulnerability in various environments [5][6][7], especially in the context of global climate change and heat waves [8][9][10]. Researchers have endeavored to employ theoretical and technical methods, such as statistical [11][12][13][14][15][16][17][18][19], energy-balance [3,4,20], numerical [21][22][23], analytical [24], and physical models [25]. For this process, researchers usually grade and evaluate air temperature data from meteorological stations and the LST data observed via remote sensing from the perspective of climate vulnerability or human exposure [26], and developed some vulnerability and risk indexes, such as manual indicator removal [27], as well as more complicated techniques, such as Monte Carlo simulation and variance-based global sensitivity analysis [28].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Urban Heat Risk in Mountain Environments: A Case Study of Chongqing Metropolitan Area, China

De-chao

Sun

et al. 2019

Sustainability

View full text Add to dashboard Cite

For urban climatic environments, the urban heat island (UHI) effect resulting from land use and land cover change (LUCC) caused by human activities is rapidly becoming one of the most notable characteristics of urban climate change due to urban expansion. UHI effects have become a significant barrier to the process of urbanization and sustainable development of the urban ecological environment. Predicting the spatial and temporal patterns of the urban heat environment from the spatial relationship between land use and land surface temperature (LST) is key to predicting urban heat environment risk. This study established an Urban Heat Environment Risk Model (UHERM) as follows. First, the urban LST was normalized and classified during three different periods. Second, a Markov model was constructed based on spatio-temporal change in the urban heat environment between the initial year (2005) and middle year (2010), and then a cellular automata (CA) model was used to reveal spatial relationships between the urban heat environments of the two periods and land use in the initial year. The spatio-temporal pattern in a future year (2015) was predicted and the accuracy of the simulation was verified. Finally, the spatio-temporal pattern of urban heat environment risk was quantitatively forecasted based on the decision rule for the urban heat environment risk considering both the present and future status of the spatial characteristics of the urban heat environment. The MODIS LST product and LUCC dataset retrieved from remote sensing images were used to verify the accuracy of UHERM and to forecast the spatio-temporal pattern of urban heat environment risk during the period of 2015–2020. The results showed that the risk of urban heat environment is increasing in the Chongqing metropolitan area. This method for quantitatively evaluating the spatio-temporal pattern of urban heat environment risk could guide sustainable growth and provide effective theoretical and technical support for the regulation of urban spatial structure to minimize urban heat environment risk.

show abstract

Perceived heat stress increases with population density in urban Philippines

Cited by 52 publications

References 51 publications

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators

Socio-Economic Impact of and Adaptation to Extreme Heat and Cold of Farmers in the Food Bowl of Nepal

Assessment of Urban Heat Risk in Mountain Environments: A Case Study of Chongqing Metropolitan Area, China

Contact Info

Product

Resources

About