Energy Efficiency Retrofit for Existing Residential Buildings in China’s HSCW Zone in Multiple Scenarios: Energy Economic Analysis DOI
Kaiyue Wu, Yuhua Li, Zhicheng Wu

и другие.

Journal of Architectural Engineering, Год журнала: 2024, Номер 31(1)

Опубликована: Ноя. 3, 2024

Язык: Английский

Advancing the local climate zones framework: a critical review of methodological progress, persisting challenges, and future research prospects DOI Creative Commons
Jie Han, Nan Mo, Jingyi Cai

и другие.

Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)

Опубликована: Апрель 27, 2024

Abstract The local climate zones (LCZs) classification system has emerged as a more refined method for assessing the urban heat island (UHI) effect. However, few researchers have conducted systematic critical reviews and summaries of research on LCZs, particularly regarding significant advancements this field in recent years. This paper aims to bridge gap scientific by systematically reviewing evolution, current status, future trends LCZs framework research. Additionally, it critically assesses impact climate-responsive planning design. findings study highlight several key points. First, challenge large-scale, efficient, accurate mapping persists issue Despite challenge, universality, simplicity, objectivity make promising tool wide range applications future, especially realm In conclusion, makes substantial contribution advancement advocates broader adoption foster sustainable development. Furthermore, offers valuable insights practitioners engaged field.

Язык: Английский

Процитировано

11

Investigating the effects of local climate zones on land surface temperature using spectral indices via linear regression model: a seasonal study of Sapanca Lake DOI
Öznur Işınkaralar, Emmanuel Yeboah, Kaan Işınkaralar

и другие.

Environmental Monitoring and Assessment, Год журнала: 2025, Номер 197(3)

Опубликована: Фев. 7, 2025

Язык: Английский

Процитировано

1

Spatial effect of urban morphology on land surface tempature from the perspective of local climate zone DOI
Xinyue Wang, Jun Yang, Wenbo Yu

и другие.

Remote Sensing Applications Society and Environment, Год журнала: 2024, Номер 36, С. 101324 - 101324

Опубликована: Авг. 18, 2024

Язык: Английский

Процитировано

4

Seasonal variation in vegetation cooling effect and its driving factors in a subtropical megacity DOI

Jianbiao Luo,

Tao Xu,

Chunhua Yan

и другие.

Building and Environment, Год журнала: 2024, Номер unknown, С. 112065 - 112065

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

4

Impact of blue spaces on urban microclimate in different climate zones, daytimes and seasons – a systematic review DOI Creative Commons
Lukas Fricke, Rupert Legg, Nadja Kabisch

и другие.

Urban forestry & urban greening, Год журнала: 2024, Номер unknown, С. 128528 - 128528

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Local climate zone framework: seasonal dynamics of surface urban heat island and its influencing factors in three Chinese urban agglomerations DOI Creative Commons
Haojian Deng, Jiali Feng, Kai Liu

и другие.

GIScience & Remote Sensing, Год журнала: 2025, Номер 62(1)

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0

Spatiotemporal Evolution of Urban Driving Factors and Seasonal Heat Island Response from the Perspective of Local Climate Zones: A Case Study of Xiamen City, China DOI Creative Commons
Jinxin Wang,

Liangliang Sheng,

Tao Li

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(10), С. 1678 - 1678

Опубликована: Май 10, 2025

Understanding the mechanisms driving urban heat island (UHI) phenomenon is essential for sustainability. This study investigated spatiotemporal dynamics and underlying factors of surface (SUHI) in Xiamen. Utilizing radiation conduction equation, we calculated intensity (SUHII) summers winters 2003, 2005, 2010, 2015, 2020, followed by spatial distribution analysis. The local climate zone (LCZ) method was employed to assess morphology structure 2010 2020. Urban factors, including built-up areas, building height, gross domestic product (GDP) per capita, industrial structure, population density, were analyzed using Geodetector model explore their influence on SUHI across seasons. Based different LCZ types, a more detailed analysis conducted performance influencing Pearson’s correlation. Key findings indicate that (1) proportion areas types always exceeds natural pronounced summer than winter. (2) In open mid-rise built (LCZ 5) showed highest average (95.95%), large low-rise 8) had winter (95.28%). bare rock or paved E) both (61.86%) (51.26%), water G) lowest (6.16%) (4.92%). (3) Significantly, height secondary industry intensified summer, with dynamic changes observed during provides targeted insights into mitigating Xiamen other similar coastal cities.

Язык: Английский

Процитировано

0

Comparison of indoor thermal comfort of the elderly in urban, suburban rural and mountainous rural areas in South China karst DOI

Xinzhi Gong,

Sha Lai, Qinglin Meng

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 113260 - 113260

Опубликована: Июнь 1, 2025

Язык: Английский

Процитировано

0

Characterization of hydrogeochemical elements in determining the ground water quality for irrigation potential and its correlation with climatological parameters of chennai basin aquifer system, southern india DOI

Sivakumar Muthu,

T. Subramani,

Vishnuvardan Narayanamurthi

и другие.

Environmental Monitoring and Assessment, Год журнала: 2024, Номер 196(11)

Опубликована: Окт. 4, 2024

Язык: Английский

Процитировано

2

Sensitivity of Local Climate Zones and Urban Functional Zones to Multi-Scenario Surface Urban Heat Islands DOI Creative Commons
Haojian Deng,

Shiran Zhang,

Ming‐Hui Chen

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(16), С. 3048 - 3048

Опубликована: Авг. 19, 2024

Local climate zones (LCZs) and urban functional (UFZs) can intricately depict the multidimensional spatial elements of cities, offering a comprehensive perspective for understanding surface heat island (SUHI) effect. In this study, we retrieved two types land temperature (LST) data constructed 12 SUHI scenarios over Guangdong–Hong Kong–Macao Greater Bay Area Central region using six identification methods. It compared sensitivity differences among different LCZ UFZ to analyze global local influencing factors in by utilizing gradient boosting trees, geographically weighted regression, coefficient variation model. Results showed following: (1) The multi-scenario was significantly affected methods non-urban references. (2) morning, shading effect building clusters reduced intensity (SUHII) some built environment (such as 1 (compact high-rise zone) 5 (open midrise zone)). SUHIIs E (bare rock or paved 10 (industry were 4.22 °C 3.87 °C, respectively, both are classified highly sensitive SUHI. (3) exhibited regional variability, with importance such impervious ratio, elevation, average height, vegetation coverage, volume between LCZs UFZs. Amongst scenarios, an 87.43% 89.97% areas UFZs, found have low types. Overall, study helps planners managers gain more complexity high-density providing scientific basis future adaptability planning.

Язык: Английский

Процитировано

1