IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i18p6584-d411378.html
   My bibliography  Save this article

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

Author

Listed:
  • Minxuan Zheng

    (Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jiahua Zhang

    (Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lamei Shi

    (Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Da Zhang

    (Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Til Prasad Pangali Sharma

    (Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Foyez Ahmed Prodhan

    (Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Department of Agricultural Extension and Rural Development, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur-1706, Bangladesh)

Abstract

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.

Suggested Citation

  • Minxuan Zheng & Jiahua Zhang & Lamei Shi & Da Zhang & Til Prasad Pangali Sharma & Foyez Ahmed Prodhan, 2020. "Mapping Heat-Related Risks in Northern Jiangxi Province of China Based on Two Spatial Assessment Frameworks Approaches," IJERPH, MDPI, vol. 17(18), pages 1-24, September.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6584-:d:411378
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/18/6584/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/18/6584/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    2. Luis Inostroza & Massimo Palme & Francisco de la Barrera, 2016. "A Heat Vulnerability Index: Spatial Patterns of Exposure, Sensitivity and Adaptive Capacity for Santiago de Chile," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-26, September.
    3. Harlan, Sharon L. & Brazel, Anthony J. & Prashad, Lela & Stefanov, William L. & Larsen, Larissa, 2006. "Neighborhood microclimates and vulnerability to heat stress," Social Science & Medicine, Elsevier, vol. 63(11), pages 2847-2863, December.
    4. Weihua Dong & Zhao Liu & Lijie Zhang & Qiuhong Tang & Hua Liao & Xian'en Li, 2014. "Assessing Heat Health Risk for Sustainability in Beijing’s Urban Heat Island," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    5. Gulrez Azhar & Shubhayu Saha & Partha Ganguly & Dileep Mavalankar & Jaime Madrigano, 2017. "Heat Wave Vulnerability Mapping for India," IJERPH, MDPI, vol. 14(4), pages 1-10, March.
    6. Kamil Faisal & Ahmed Shaker, 2017. "An Investigation of GIS Overlay and PCA Techniques for Urban Environmental Quality Assessment: A Case Study in Toronto, Ontario, Canada," Sustainability, MDPI, vol. 9(3), pages 1-25, March.
    7. Wei Zhang & Yubi Zhu & Jingang Jiang, 2016. "Effect of the Urbanization of Wetlands on Microclimate: A Case Study of Xixi Wetland, Hangzhou, China," Sustainability, MDPI, vol. 8(9), pages 1-13, September.
    8. Zhi Cai & Yan Tang & Kai Chen & Guifeng Han, 2019. "Assessing the Heat Vulnerability of Different Local Climate Zones in the Old Areas of a Chinese Megacity," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiaxing Xin & Jun Yang & Yipeng Jiang & Zhipeng Shi & Cui Jin & Xiangming Xiao & Jianhong (Cecilia) Xia & Ruxin Yang, 2023. "Variations of Urban Thermal Risk with Local Climate Zones," IJERPH, MDPI, vol. 20(4), pages 1-14, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fei Li & Tan Yigitcanlar & Madhav Nepal & Kien Nguyen Thanh & Fatih Dur, 2022. "Understanding Urban Heat Vulnerability Assessment Methods: A PRISMA Review," Energies, MDPI, vol. 15(19), pages 1-34, September.
    2. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    3. Wei Zhang & Qianxing Zhao & Minjie Pei, 2021. "How much uncertainty does the choice of data transforming method brings to heat risk mapping? Evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 349-373, March.
    4. Weihua Dong & Zhao Liu & Hua Liao & Qiuhong Tang & Xian’en Li, 2015. "New climate and socio-economic scenarios for assessing global human health challenges due to heat risk," Climatic Change, Springer, vol. 130(4), pages 505-518, June.
    5. You Jin Kwon & Dong Kun Lee & You Ha Kwon, 2020. "Is Sensible Heat Flux Useful for the Assessment of Thermal Vulnerability in Seoul (Korea)?," IJERPH, MDPI, vol. 17(3), pages 1-26, February.
    6. Zhi Cai & Yan Tang & Kai Chen & Guifeng Han, 2019. "Assessing the Heat Vulnerability of Different Local Climate Zones in the Old Areas of a Chinese Megacity," Sustainability, MDPI, vol. 11(7), pages 1-15, April.
    7. Dongying Li & Galen D Newman & Bev Wilson & Yue Zhang & Robert D Brown, 2022. "Modeling the relationships between historical redlining, urban heat, and heat-related emergency department visits: An examination of 11 Texas cities," Environment and Planning B, , vol. 49(3), pages 933-952, March.
    8. Nawhath Thanvisitthpon, 2023. "Statistically Validated Urban Heat Island Risk Indicators for UHI Susceptibility Assessment," IJERPH, MDPI, vol. 20(2), pages 1-21, January.
    9. Jiaxing Xin & Jun Yang & Yipeng Jiang & Zhipeng Shi & Cui Jin & Xiangming Xiao & Jianhong (Cecilia) Xia & Ruxin Yang, 2023. "Variations of Urban Thermal Risk with Local Climate Zones," IJERPH, MDPI, vol. 20(4), pages 1-14, February.
    10. Meryl Jagarnath & Tirusha Thambiran & Michael Gebreslasie, 2020. "Heat stress risk and vulnerability under climate change in Durban metropolitan, South Africa—identifying urban planning priorities for adaptation," Climatic Change, Springer, vol. 163(2), pages 807-829, November.
    11. Jie Liu & Zhenwu Shi & Dan Wang, 2016. "Measuring and mapping the flood vulnerability based on land-use patterns: a case study of Beijing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1545-1565, September.
    12. Angela Rosa & Angela Santangelo & Simona Tondelli, 2021. "Investigating the Integration of Cultural Heritage Disaster Risk Management into Urban Planning Tools. The Ravenna Case Study," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    13. H. Allen Klaiber & Joshua K. Abbott & V. Kerry Smith, 2017. "Some Like It (Less) Hot: Extracting Trade-Off Measures for Physically Coupled Amenities," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(4), pages 1053-1079.
    14. Jeong-Hee Eum & Kwon Kim & Eung-Ho Jung & Paikho Rho, 2018. "Evaluation and Utilization of Thermal Environment Associated with Policy: A Case Study of Daegu Metropolitan City in South Korea," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    15. Susan Williams & Peng Bi & Jonathan Newbury & Guy Robinson & Dino Pisaniello & Arthur Saniotis & Alana Hansen, 2013. "Extreme Heat and Health: Perspectives from Health Service Providers in Rural and Remote Communities in South Australia," IJERPH, MDPI, vol. 10(11), pages 1-19, October.
    16. Weihua Dong & Zhao Liu & Lijie Zhang & Qiuhong Tang & Hua Liao & Xian'en Li, 2014. "Assessing Heat Health Risk for Sustainability in Beijing’s Urban Heat Island," Sustainability, MDPI, vol. 6(10), pages 1-24, October.
    17. Mercy J. Borbor-Cordova & Geremy Ger & Angel A. Valdiviezo-Ajila & Mijail Arias-Hidalgo & David Matamoros & Indira Nolivos & Gonzalo Menoscal-Aldas & Federica Valle & Alessandro Pezzoli & Maria del Pi, 2020. "An Operational Framework for Urban Vulnerability to Floods in the Guayas Estuary Region: The Duran Case Study," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
    18. Jinling Quan, 2019. "Multi-Temporal Effects of Urban Forms and Functions on Urban Heat Islands Based on Local Climate Zone Classification," IJERPH, MDPI, vol. 16(12), pages 1-35, June.
    19. Jan-Philipp Sasse & Evelina Trutnevyte, 2023. "A low-carbon electricity sector in Europe risks sustaining regional inequalities in benefits and vulnerabilities," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    20. Sara Wilkinson & Renato Castiglia Feitosa, 2015. "Retrofitting Housing with Lightweight Green Roof Technology in Sydney, Australia, and Rio de Janeiro, Brazil," Sustainability, MDPI, vol. 7(1), pages 1-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:18:p:6584-:d:411378. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.