Exploring the Potential Relationship between Cooling Green Space and Built-up area: Analysis of Community Green Space Characteristics Based on GWPCA DOI Creative Commons
Shengyu Guan, Haihui Hu

Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112190 - 112190

Published: Oct. 12, 2024

Language: Английский

Towards multi-scale and context-specific heat health risk assessment - A systematic review DOI
Jiaxing Ye, Feng Yang

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106102 - 106102

Published: Jan. 5, 2025

Language: Английский

Citations

5

Revealing the injustice and factors that affect the resilience responses of residents in the full period of heat waves DOI
Qi Cheng, Shiyan Sha

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105467 - 105467

Published: April 23, 2024

Language: Английский

Citations

11

Built or Social environment? Effects of perceptions of neighborhood green spaces on resilience of residents to heat waves DOI
Shiyan Sha, Qi Cheng

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 94, P. 128267 - 128267

Published: Feb. 27, 2024

Language: Английский

Citations

10

Integrating morphology and vitality to quantify seasonal contributions of urban functional zones to thermal environment DOI
Lei Wang, Ruonan Li,

Jia Jia

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106136 - 106136

Published: Jan. 1, 2025

Language: Английский

Citations

1

A multiscale examination of heat risk spatiotemporal dynamics in Chinese urban agglomerations: A hierarchical assessment method and planning framework DOI
Jinhui Ma,

D Liu

International Journal of Disaster Risk Reduction, Journal Year: 2025, Volume and Issue: 117, P. 105198 - 105198

Published: Jan. 10, 2025

Language: Английский

Citations

1

Do New Urbanization Policies Promote Sustainable Urbanization? Evidence from China’s Urban Agglomerations DOI Creative Commons
Shiwei Liu, Luyao Jia,

Feng Zhang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(4), P. 412 - 412

Published: March 23, 2024

China’s urbanization has received as much attention its economic growth in recent years. While rapid promoted modernization and wealth creation, it also brought many problems challenges. So, since 2014, the Chinese government implemented a new policy nationwide. However, few researchers have examined whether policies promote sustainable urbanization. This paper evaluates of 19 urban agglomerations China using elastic coefficient. The results indicate significant increase number cities achieving implementation policy. risen from 46 period 2010–2015 to 71 2015–2021. Considering impact coronavirus on economy, there would been even more entering during latter period. indicates that positive influence agglomerations. status is not static changes with different are time periods. Therefore, important find useful can guide enhance process these cities. In addition, perfect. To address this issue, categorize implement targeted for experiencing both non-sustainable Changes city’s size or rates related status. A larger city does urbanization, and, similarly, faster do exhibit higher level sustainability.

Language: Английский

Citations

8

Spatial and Temporal Evolution Patterns of Droughts in China over the Past 61 Years Based on the Standardized Precipitation Evapotranspiration Index DOI Open Access
Yun-Rui Yang, Erfu Dai,

Jun Yin

et al.

Water, Journal Year: 2024, Volume and Issue: 16(7), P. 1012 - 1012

Published: March 31, 2024

Based on the data of 2254 daily meteorological stations in China from 1961 to 2021, this study calculated standardized precipitation evapotranspiration index (SPEI) national multi-time scale by using FAO Penman–Monteith model quantify changes dry and wet conditions. The Mann–Kendall mutation test, wavelet analysis, other methods were used spatial pattern temporal evolution drought. results showed: (1) In past 61 years, there obvious differences drought China, interannual variation severity SPEI-1, SPEI-3, SPEI-12 gradually decreased at a rate 0.005/10a, 0.021/10a, 0.092/10a, respectively. (2) time point was 1989 according MK mutagenicity test. (3) Wavelet analysis showed that cycle annual seasonal consistent, main period about 30 years. (4) intensity different degrees has shown weakening trend, reached highest value years 1978, 1836.42. 2020, lowest, 261.55. (5) proportion decreasing trend. drought-free fluctuated greatly, ranging 42.12% 89.25%, with 2020 being highest. This provides scientific basis for further research causes coping strategies is great significance strengthening China’s monitoring, early warning ,and adaptation capabilities.

Language: Английский

Citations

8

Framework of street grid-based urban heat vulnerability assessment: Integrating entropy weight method and BPNN model DOI
Fei Guo,

Ruwei Zheng,

Jun Zhao

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 56, P. 102067 - 102067

Published: July 1, 2024

Language: Английский

Citations

7

Study on urban heatwave characteristics and thermal stress scenarios based on China's heatwave hazard zoning DOI

Qinrong Yang,

Huiwang Peng, Qiong Li

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101957 - 101957

Published: May 1, 2024

Language: Английский

Citations

4

Spatiotemporal evolution characteristics and driving factors of heat island effect based on territorial perspective: A case study of Beibu Gulf urban agglomeration, China DOI Creative Commons
Menglin Qin,

Huiting Ouyang,

Hongbo Jiang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112197 - 112197

Published: June 14, 2024

The heat island effect has far-reaching impacts on human settlements and natural ecosystems. Current research predominantly focuses urban areas overlooks the broader ecosystems beyond boundaries. Therefore, there's an increasing urgency to reassess study from a regional spatial perspective. This introduces concept of Land Heat Island (LHI) quantifies it through Intensity (LHII). Utilizing multivariate data statistical analyses, this investigates spatiotemporal evolution LHII in Beibu Gulf agglomeration 2012 2021. Redundancy analysis (RDA) bivariate correlation were used understand relationships factors influencing LHII. results showed: (1) From 2021, within gradually intensified. was higher coastal compared inland regions, more developed economic exhibited than less ones, characterized by concentrated activities had ecological areas. (2) primary zones growth slightly hot weakly northern part area where forestland clustered greater influence cold pattern pattern; lower latitude eastern economy well year year. (3) enhancement is primarily driven construction socio-economic factors. Specifically, Carbon Emissions Nighttime Light Index (NLI), which representing strength construction, contribute 11.4% 8.3% respectively. Additionally, Population Size (PS), factors, contributes 12%. (4) weakening affected with top two contributors being average Digital Elevation Model (DEM) cultivated land Normalized Difference Vegetation (NDVI), accounting for 32.9% 14% enhances our understanding aims mitigate Bay Area agglomeration.

Language: Английский

Citations

4