| Literature DB >> 29189970 |
Karin Lundgren-Kownacki1, Siri M Kjellberg2, Pernille Gooch2, Marwa Dabaieh3, Latha Anandh4,5, Vidhya Venugopal4.
Abstract
During the summer of 2015, India was hit by a scorching heat wave that melted pavements in Delhi and caused thousands of deaths, mainly among the most marginalized populations. One such group facing growing heat risks from both occupational and meteorological causes are migrant brick kiln workers. This study evaluates both current heat risks and the potential future impacts of heat caused by climate change, for the people working at brick kilns in India. A case study of heat stress faced by people working at brick kilns near Chennai, India, is the anchor point around which a transdisciplinary approach was applied. Around Chennai, the situation is alarming since occupational heat exposure in the hot season from March to July is already at the upper limits of what humans can tolerate before risking serious impairment. The aim of the study was to identify new pathways for change and soft solutions by both reframing the problem and expanding the solution space being considered in order to improve the quality of life for the migrant populations at the brick kilns. Technical solutions evaluated include the use of sun-dried mud bricks and other locally "appropriate technologies" that could mitigate the worsening of climate change-induced heat. Socio-cultural solutions discussed for empowering the people who work at the brick kilns include participatory approaches such as open re-localization, and rights-based approaches including the environmental sustainability and the human rights-based approach framework. Our analysis suggests that an integrative, transdisciplinary approach could incorporate a more holistic range of technical and socio-culturally informed solutions in order to protect the health of people threatened by India's brick kiln industry.Entities:
Keywords: Brick kilns; Climate change; Heat stress; India; Migrant work; Technical and socio-cultural solutions; Transdisciplinary approach
Mesh:
Year: 2017 PMID: 29189970 PMCID: PMC5854725 DOI: 10.1007/s00484-017-1476-0
Source DB: PubMed Journal: Int J Biometeorol ISSN: 0020-7128 Impact factor: 3.787
Seasonal comparative table—WBGT summary measurements from five brick kilns in the Chennai area (2013–2015)
| WBGT min | WBGT max | WBGT average | ||
|---|---|---|---|---|
| Hot season | June–July 2013 | 25.8 | 28.6 | 27.0 |
| March–April 2014 | 24.8 | 35.0 | 29.0 | |
| Cool season | February 2013 | 18.8 | 25.2 | 22.2 |
| January–February 2015 | 22.9 | 28.3 | 25.6 |
Example brick kiln from Chennai in 2013—seasonal comparative table with data from different work stations
| Work location | May | January | ||||
|---|---|---|---|---|---|---|
| Temperature (°C) | Humidity RH (%) | WBGT (°C) | Temperature (°C) | Humidity RH (%) | WBGT (°C) | |
| Brick production from clay | 29.3 | 57 | 25.9 | 20.0 | 88 | 18.8 |
| Brickmaking area | 30.5 | 33.0 | 27.8 | 22.0 | 79 | 25.2 |
| Furnace area 1 | 27.0 | 28.9 | 25.8 | 20.0 | 88 | 20.5 |
| Furnace area near chimney | 27.0 | 28.9 | 26.2 | 20.5 | 88 | 20.7 |
| Furnace area 2 | 27.0 | 28.9 | 26.6 | 20.0 | 88 | 21.0 |
| Furnace area 3 | 27.5 | 29.5 | 26.6 | 20.0 | 88 | 21.4 |
| Furnace area 4 | 30.5 | 33.0 | 28.6 | 22.0 | 79 | 24.9 |
| Working place 1 | 30.0 | 48.5 | 25.6 | 20.5 | 88 | 22.4 |
| Brick loading area | 28.0 | 30.2 | 26.0 | 22.0 | 79 | 24.7 |
| Average WBGT | 26.7 | 22.2 | ||||
Comparative table depicting self-reported impacts of heat stress on health and productivity from a questionnaire (N = reported cases)
| Variable | Impacts | Summer ( | Winter ( | ||
|---|---|---|---|---|---|
|
| Percent (%) |
| Percent (%) | ||
| Impacts on health | Excessive sweating | 82 | 94 | 40 | 66 |
| Muscle cramps | 32 | 37 | 28 | 46 | |
| Tiredness/weakness/dizziness | 75 | 86 | 44 | 72 | |
| Headache | 55 | 67 | 19 | 31 | |
| Nausea/vomiting | 7 | 8 | 3 | 5 | |
| Fainting | 13 | 15 | 6 | 10 | |
| Prickly heat | 21 | 24 | 7 | 11 | |
| Production target and issues | Have production target | 2 | 2 | 10 | 16 |
| Able to complete production target | 2 | 2 | 9 | 15 | |
| Not able to complete production | – | – | 1 | 2 | |
| Impacts on productivity | Absenteeism/taken sick leave due to heat | 14 | 16 | 10 | 16 |
| Less productivity/more time to complete task/work extra hours | 42 | 48 | 10 | 16 | |
| Irritation/interpersonal issues | 16 | 18 | 1 | 2 | |
| Wages lost | – | – | 5 | 8 | |
| Coping mechanisms | Take rest | 65 | 75 | 60 | 98 |
| Drink water | 87 | 100 | 61 | 100 | |
| Cool shower, bath, or sponge bath | 24 | 28 | 1 | 2 | |
| Traditional methods (e.g., drinks and diet, self-pacing) | 49 | 56 | 14 | 23 | |
| Impact of clothing on comfort | No impact | 72 | 83 | 60 | 98 |
| Impact of clothing on productivity | Moderate impact | 24 | 28 | 12 | 14 |
| High impact | 4 | 5 | 1 | 1 | |
Fig. 1Historical and future heat stress during the month of May in Chennai, without taking solar radiation into account, according to measurements and simulations. Produced by HOTHAPS soft (Kjellström et al. 2013; Lemke and Kjellström 2012; Climate CHIP 2016). The different colors represent different models datasets of RCP 8.5 (, , , , and )