Identifying Major Components of Extreme Heatwave Risk Assessment Indexes in Urban Areas

Kim, Jaeman; Kwon, T.G.; Lee, Jungmin; Kim, Young‐Chul

doi:10.12813/kieae.2019.19.5.005

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Since Nanchong belongs to the basin summer heat wave zone [28] and considering the climatic characteristics of Northeast Sichuan, this study used the absolute threshold method to identify heat waves. A heat wave process was identified when the daily maximum temperature was ≥35 • C for 3 consecutive days or more, and then, classified according to the duration of the heat wave [29]. The specific standards for heat wave classification are presented in Table 1.…”

Section: The High-temperature Characterization Methodsmentioning

confidence: 99%

The Spatiotemporal Characteristics of Extreme High Temperatures and Urban Vulnerability in Nanchong, China

Yin,

Li,

Chen

et al. 2023

Atmosphere

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It is necessary to alleviate the high temperatures and heat wave disasters in cities in southwest China that are beginning to occur because of global warming. During this study, the spatial and temporal characteristics of heat waves in Nanchong from 1961 to 2022 are analyzed by using the signal smooth method and mutation test. Based on the meteorological data and socioeconomic statistics, the entropy value method is used to obtain the indicator weights to construct a heat wave social vulnerability evaluation index system and conduct vulnerability assessments and classifications. The results show that: ① The heat wave indicators in Nanchong show an increasing trend, although there is a low period of heat waves from 1980 to 1995. Additionally, there are significant mutations in the number of days, frequency, and intensity of high-temperature heat waves from 2009 to 2011, which may be caused by the abnormal high-pressure belt in the mid-latitude. ② The distribution of exposure, sensitivity, and adaptability in Nanchong City, under high temperatures, is uneven in space. Generally, the indicators in the north are lower than those in the south. ③ The high-vulnerability counties are mainly distributed in the east and west of Nanchong, the proportion of the medium social vulnerability index areas are more than a half, while the dominant factor in the distribution pattern is natural factors. ④ The Western Pacific Subtropical High (WPSH) anomaly directly led to the extremely high temperature in Nanchong in the summer of 2022, and the urbanization process index shows a significant positive correlation with the trend of high temperatures and heat waves in Nanchong.

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Section: The High-temperature Characterization Methodsmentioning

confidence: 99%

The Spatiotemporal Characteristics of Extreme High Temperatures and Urban Vulnerability in Nanchong, China

Yin,

Li,

Chen

et al. 2023

Atmosphere

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“…따라서 폭염 위험을 평가할 경우, 지역별 기후, 환경, 사회 등의 다양한 요인들을 고려해야 한다. 다양한 선행 연구사례에서는 어떤 재난 현상 에 대한 위험을 위해, 노출, 취약의 함수로 설명하였다 (Papathoma-Koehle et al, 2016;Savic et al, 2018;Kim et al, 2019;Yamagata et al, 2019;Yin et al, 2020;Dubey et al, 2021). 본 연구에서는 일 최고기온과 행정구역별 폭염 취약정도 를 고려해 우리나라의 지역별 일 단위 폭염위험지수를 개발 하였고, 이를 활용한 위기경보 발령 기준을 제안하였다.…”

Section: 서 론unclassified

Development of Heatwave Crisis Alert Standard for Administrative Districts Using Heatwave Risk Index

Kim¹,

Yeom²,

Song³

et al. 2022

J. Korean Soc. Hazard Mitig

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The current heatwave crisis alert system considers the daily maximum temperature alone; therefore, the present study proposed a new method for estimating the daily heatwave crisis alert level. Specifically, the heatwave risk index was calculated by combining regional vulnerability, as estimated using principal component analysis, and normalized daily maximum temperature. The crisis alert level was classified according to the risk index value using the natural breaks method. The correlation coefficient between the heatwave risk index and heat-related morbidity rate was approximately 0.4. In addition, analysis of variance confirmed significant differences in the heat-related morbidity rate among different crisis alert levels. The current method is limited in that it does not take into account the various regional environmental characteristics, which may results in an ambiguous alert standard; however, this shortcoming may be resolved using the proposed heatwave risk index. Therefore, the results of the present study may be valuable for risk assessment and management in Korea.

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Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models

Kim

2022

Sustainable Cities and Society

102

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Identifying Major Components of Extreme Heatwave Risk Assessment Indexes in Urban Areas

Cited by 3 publications

References 12 publications

The Spatiotemporal Characteristics of Extreme High Temperatures and Urban Vulnerability in Nanchong, China

The Spatiotemporal Characteristics of Extreme High Temperatures and Urban Vulnerability in Nanchong, China

Development of Heatwave Crisis Alert Standard for Administrative Districts Using Heatwave Risk Index

Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models

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