2021
DOI: 10.1088/1748-9326/abdbf2
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Monitoring and moderating extreme indoor temperatures in low-income urban communities

Abstract: Climate change presents significant threats to human health, especially for low-income urban communities in the Global South. Despite numerous studies of heat stress, surprisingly little is known about the temperatures actually encountered by people in their homes, or the benefits of affordable adaptations. This paper examines indoor air temperature measurements gathered from 47 living rooms within eight low-income communities of Accra and Tamale, Ghana. Using multiple temperature indices and a tiered analysis… Show more

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Cited by 19 publications
(8 citation statements)
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“…Studies from other parts of Africa confirm increased heat exposure within low-income informal settlements. These studies from Accra (Ghana) [23] and Kampala (Uganda) [24] attribute the problem to housing materials and lack of greening.…”
Section: Intra-urban Inequality In Heat Exposure: a Challenge In Low-...mentioning
confidence: 99%
“…Studies from other parts of Africa confirm increased heat exposure within low-income informal settlements. These studies from Accra (Ghana) [23] and Kampala (Uganda) [24] attribute the problem to housing materials and lack of greening.…”
Section: Intra-urban Inequality In Heat Exposure: a Challenge In Low-...mentioning
confidence: 99%
“…Unfortunately, people residing in high-density, informal neighborhoods are more exposed to higher ambient temperatures than those residing in affluent neighborhoods (Jacobs et al 2019). Moreover, the research literature is largely silent about temperatures experienced inside the homes and workspaces of low-income communities (Wilby et al 2021) (Figure 2.3). Climate model projections provide useful information about some of these expected global and regional changes but should be interpreted with care because of deep uncertainties, especially at the city and street scale (Box 2.2).…”
Section: Box 21: the 2015 Heat Waves In India And Pakistanmentioning
confidence: 99%
“…Even advanced climate models likely underrate the true severity of future urban warming encountered at community, household, and human scales. This is because models typically 1. simulate air temperature and humidity for very large idealized land cover types rather than at street scales; 2. provide climate scenarios for natural or agricultural landscapes-only a few models explicitly represent urban surfaces and, even then, in highly idealized ways (e.g., Zhao et al 2021); 3. ignore local climate changes due to future urbanization and adaptation measures, such as incorporating more green space or reflective roofs (e.g., Oleson, Bonan, and Feddema 2010); 4. correct biases using data from grass covered areas of meteorological compounds (Switanek et al 2017)-whereas asphalt pavements and highly dense urban areas are already warmer and behave differently to rural weather stations; 5. represent climate conditions outdoors rather than inside homes, workplaces, and public spaces (Wilby et al 2021); and 6. neglect potentially harmful synergistic effects such as joint occurrence of heat waves with air pollution episodes (Xu et al 2020).…”
Section: Box 22: Interpreting Climate Model Projections Of Heat Waves...mentioning
confidence: 99%
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“…Yet, extreme heat may still be underestimated in topographically complex and/or data-scarce areas, such as urban informal settlements ( Scott et al., 2017 ; Baruti et al., 2019 ; Banerjee et al, 2021 ), where regional meteorological models may not capture the intricacies of temperature and humidity variation and extremes at a local scale and in situ environmental monitoring is lacking ( Coffel et al., 2018 ; Wang et al., 2019 ). Indoor temperatures are rarely examined in informal settlements (but see Mukhopadhyay et al., 2021 and Wilby et al., 2021 ) and it may be assumed that adaptations, such as the use of air-conditioning, will be practiced ( Biardeau et al., 2019 ), even though mitigation of this kind is expensive and often unavailable to informal settlement households ( Satterthwaite et al., 2020 ). These shortcomings and assumptions likely result in vulnerable populations with limited capacity to adapt being overlooked in broader scale heat stress exposure assessments ( Scovronick et al., 2015 ; Green et al., 2019 ).…”
Section: Introductionmentioning
confidence: 99%