Comparison of health risks by heat wave definition: Applicability of wet-bulb globe temperature for heat wave criteria

Heo, Seulkee; Bell, Michelle L.; Lee, Jong Tae

doi:10.1016/j.envres.2018.09.032

Cited by 89 publications

(53 citation statements)

References 60 publications

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“…Recently, thermal comfort indices based on meteorological variables were tested as temperature indicators for the assessment of the heat-related risk in South Korea. Heo et al [23] evaluated the accuracy of the wet-bulb globe temperature (WBGT) in assessing the heat-related excess mortality and reported that the WBGT could be used as a temperature indicator for the heatwave in the assessment.…”

Section: Introductionmentioning

confidence: 99%

Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data

Kang

Kim

Shin

2020

IJERPH

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This study aimed to assess the heat-related risk (excess mortality rate) at six cities, namely, Seoul, Incheon, Daejeon, Gwangju, Daegu, and Busan, in South Korea using the daily maximum perceived temperature (PTmax), which is a physiology-based thermal comfort index, the wet-bulb globe temperature, which is meteorology-based thermal comfort index, and air temperature. Particularly, the applicability of PTmax was evaluated using excess mortality rate modeling. An event-based heat-related risk assessment model was employed for modeling the excess mortality rate. The performances of excess mortality rate models using those variables were evaluated for two data sets that were used (training data, 2000–2016) and not used (test data, 2017–2018) for the construction of the assessment models. Additionally, the excess mortality rate was separately modeled depending on regions and ages. PTmax is a good temperature indicator that can be used to model the excess mortality rate in South Korea. The application of PTmax in modeling the total mortality rate yields the best performances for the test data set, particularly for young people. From a forecasting perspective, PTmax is the most appropriate temperature indicator for assessing the heat-related excess mortality rate in South Korea.

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Section: Introductionmentioning

confidence: 99%

Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data

Kang

Kim

Shin

2020

IJERPH

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“…In this situation, this study introduced wet bulb globe temperature (WBGT) as an indicator in heat risk assessment. It is a well-established heat index widely used in the assessment of heat stress where high WBGT has been proven to increase the risks of work injuries [53]. WBGT is a combination of the natural wet bulb temperature, the black globe temperature and the air temperature; most formula calculating WBGT include meteorological variables related to temperature, humidity, wind speed and solar radiation.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have focused on the urban settings, while heat assessments in rural area are sparse and inconsistent [54]. Sheridan [53] and Wu [54] have observed greater mortality and vulnerability in response to oppressive heat, in a rural rather than an urban location. At the same time, other studies indicate that urban residents are more vulnerable during heatwave [55,56].…”

Section: Introductionmentioning

confidence: 99%

Mapping Heat-Related Risks in Northern Jiangxi Province of China Based on Two Spatial Assessment Frameworks Approaches

Zheng

Zhang

Shi

et al. 2020

IJERPH

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Heat-health risk is a growing concern in many regions of China due to the more frequent occurrence of extremely hot weather. Spatial indexes based on various heat assessment frameworks can be used for the assessment of heat risks. In this study, we adopted two approaches—Crichton’s risk triangle and heat vulnerability index (HVI) to identify heat-health risks in the Northern Jiangxi Province of China, by using remote sensing and socio-economic data. The Geographical Information System (GIS) overlay and principal component analysis (PCA) were separately used in two frameworks to integrate parameters. The results show that the most densely populated community in the suburbs, instead of city centers, are exposed to the highest heat risk. A comparison of two heat assessment mapping indicates that the distribution of HVI highlights the vulnerability differences between census tracts. In contrast, the heat risk index of Crichton’s risk triangle has a prominent representation for regions with high risks. The stepwise multiple linear regression zero-order correlation coefficient between HVI and outdoor workers is 0.715, highlighting the vulnerability of this particular group. Spearman’s rho nonparametric correlation and the mean test reveals that heat risk index is strongly correlated with HVI in most of the main urban regions in the study area, with a significantly lower value than the latter. The analysis of variance shows that the distribution of HVI exhibits greater variety across urban regions than that of heat risk index. Our research provides new insight into heat risk assessment for further study of heat health risk in developing countries.

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“…In 2018, the government legislated heat-waves to be a form of natural disaster and began responding at the government level. However, as the damages caused by heat-waves manifest differently depending on age, occupation, type of household, and climate [11,12], the meteorological data within downscaled spaces and conditions in terms of the population, society, economy, and environment should be considered for forecasting and responding to the impacts of heat-waves [13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters

Yang

2020

Atmosphere

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The importance of impact-based forecasting services, which can support decision-making, is being emphasized to reduce the damage of meteorological disasters, centered around the World Meteorological Organization. The Korea Meteorological Administration (KMA) began developing impact-based forecasting technology and warning services in 2018. This paper proposes statistical downscaling and bias correction methods for acquiring high-resolution meteorological data for the heat-wave impact forecast system operated by KMA. Hence, digital forecast data from KMA, with 5 km spatial resolution, were downscaled and corrected to a spatial resolution of 1 km using statistical interpolation methods. Cross-validation indicated the superior performance of the Gaussian process regression model (GPRM) technique with low root mean square error and percent bias values and high CC value. The GPRM technology had the lowest forecast error, especially during the hottest period in Korea. In addition, temperatures for land-use areas with low elevations and high activity, such as the urban, road, and agricultural areas, were high. It is essential to provide accurate heat exposure information at the screen level with high human activity. Spatiotemporally accurate heat exposure information can be used more realistically for risk management in agriculture, livestock and fishery, and for adjusting the working hours of outdoor workers in construction and shipbuilding.

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Comparison of health risks by heat wave definition: Applicability of wet-bulb globe temperature for heat wave criteria

Cited by 89 publications

References 60 publications

Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data

Event-Based Heat-Related Risk Assessment Model for South Korea Using Maximum Perceived Temperature, Wet-Bulb Globe Temperature, and Air Temperature Data

Mapping Heat-Related Risks in Northern Jiangxi Province of China Based on Two Spatial Assessment Frameworks Approaches

Heat Exposure Information at Screen Level for an Impact-Based Forecasting and Warning Service for Heat-Wave Disasters

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