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Beating the urban heat: Situation, background, impacts and the way forward in China
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Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Local Climate Zones for Urban Temperature Studies
Stewart, I. D., & Oke, T. R. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00019.1 · Cited by 4,419
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
Street design and urban canopy layer climate
Oke, T. R. (1988) · Energy and Buildings · doi:10.1016/0378-7788(88)90026-6 · Cited by 1,847
The footprint of urban heat island effect in China
Zhou, D., Zhao, S., Zhang, L., Sun, G., & Liu, Y. (2015) · Scientific Reports · doi:10.1038/srep11160 · Cited by 1,621
Oke, T. R. (1981) · Journal of Climatology · doi:10.1002/joc.3370010304 · Cited by 1,229
Magnitude of urban heat islands largely explained by climate and population
Manoli, G., Fatichi, S., Schläpfer, M., Yu, K., Crowther, T. W., Meili, N., Burlando, P., Katul, G. G., & Bou-Zeid, E. (2019) · Nature · doi:10.1038/s41586-019-1512-9 · Cited by 1,221
Anderson, G. B., & Bell, M. L. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002313 · Cited by 1,191
Society: Realizing China's urban dream
Bai, X., Shi, P., & Liu, Y. (2014) · Nature · doi:10.1038/509158a · Cited by 1,169
A study on the cooling effects of greening in a high-density city: An experience from Hong Kong
Ng, E., Chen, L., Wang, Y., & Yuan, C. (2012) · Building and Environment · doi:10.1016/j.buildenv.2011.07.014 · Cited by 932
Research works printed but not linked: 19
- Okeke, 2020, City as habitat: assembling the fragile city, Civil Eng J, 6, 1143, 10.28991/cej-2020-03091536 · doi:10.28991/cej-2020-03091536
- Zhao, 2022, Clay content mapping and uncertainty estimation using weighted model averaging, Catena, 209, 105791, 10.1016/j.catena.2021.105791 · doi:10.1016/j.catena.2021.105791
- Zhao, 2020, Mapping cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data, Soil Tillage Res, 200, 104618, 10.1016/j.still.2020.104618 · doi:10.1016/j.still.2020.104618
- Zheng, 2007, Influence of meteorological parameters on human comfort index, Meteorol Sci Technol, 35, 827
- Kavianpour, 2020, Copula based spatial analysis of drought return period in Southwest of Iran, Period Polytech Civ Eng, 64, 1051
- Yu, 2020, More frequent and widespread persistent compound drought and heat event observed in China, Sci Rep, 10, 14576, 10.1038/s41598-020-71312-3 · doi:10.1038/s41598-020-71312-3
- Faqe Ibrahim, 2017, Urban land use land cover changes and their effect on land surface temperature: case study using Dohuk city in the Kurdistan region of Iraq, Climate, 5, 10.3390/cli5010013 · doi:10.3390/cli5010013
- He, 2019, vol. 47, 101472
- Jacobs, 2020, Are urban water bodies really cooling?, Urban Clim, 32, 100607, 10.1016/j.uclim.2020.100607 · doi:10.1016/j.uclim.2020.100607
- Yang, 2019, Local climate zone ventilation and urban land surface temperatures: towards a performance-based and wind-sensitive planning proposal in megacities, Sustain Cities Soc, 47, 101487, 10.1016/j.scs.2019.101487 · doi:10.1016/j.scs.2019.101487
- Fang, 2017, Hourly variation of surface urban heat island over the Yangtze River Delta urban agglomeration, Adv Earth Sci, 32, 187
- Haddad, 2015, Impact of the transport on the urban heat island, Int J Environ Ecol Eng, 9, 968
- Laidley, 2016, Measuring sprawl: a new index, recent trends, and future research, Urban Aff Rev, 52, 66, 10.1177/1078087414568812 · doi:10.1177/1078087414568812
- Zhang, 2015, Mass human migration and Beijing's urban heat island during the Chinese New Year holiday, Sci Bull, 60, 1038, 10.1007/s11434-015-0809-9 · doi:10.1007/s11434-015-0809-9
- Li, 2018, Does economic development improve urban greening? Evidence from 289 cities in China using spatial regression models, Environ Monit Assess, 190, 541, 10.1007/s10661-018-6871-4 · doi:10.1007/s10661-018-6871-4
- Lin, 2015, Drought in Southwest China: a review, Atmos Ocean Sci Lett, 8, 339
- Gómez-Martín, 2014, The Spanish tourist sector facing extreme climate events: a case study of domestic tourism in the heat wave of 2003, Int J Biometeorol, 58, 781, 10.1007/s00484-013-0659-6 · doi:10.1007/s00484-013-0659-6
- Guo, 2020, Weather impact on passenger flow of rail transit lines, Civil Eng J, 6, 276, 10.28991/cej-2020-03091470 · doi:10.28991/cej-2020-03091470
- Zander, 2015, Heat stress causes substantial labour productivity loss in Australia, Nat Clim Change, 5, 647, 10.1038/nclimate2623 · DOI · Paper page
Cited by
A systematic review of urban heat island and heat waves research (1991–2022)
Cheval, S., Amihăesei, V.-A., Chitu, Z., Dumitrescu, A., Falcescu, V., Irașoc, A., Micu, D. M., Mihulet, E., Ontel, I., Paraschiv, M.-G., et al. (2024) · Climate Risk Management · doi:10.1016/j.crm.2024.100603 · Cited by 156
Abrar, R., Sarkar, S. K., Nishtha, K. T., Talukdar, S., Shahfahad, Rahman, A., Islam, A. R. M. T., & Mosavi, A. (2022) · Sustainability · doi:10.3390/su14094945 · Cited by 87
“The loss in thermal comfort affects the economy’s health and wellbeing by affecting labor, capital, and services [19].”
Background
Metadata
- Authors
- He, B.-J., Wang, J., Zhu, J., & Qi, J.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2022-06
- Volume
- 161
- Pages
- 112350
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W4221042117
- Cited by
- 316
- References
- 123
- FWCI
- 21.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
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- He, B.-J., Wang, J., Zhu, J., & Qi, J. (2022). Beating the urban heat: Situation, background, impacts and the way forward in China. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2022.112350
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.