Effect of local climate zone morphology on ventilation availability and thermal performance DOI

S. J. Sushanth,

Madhumathi Anbu,

E. Rajasekar

и другие.

Advances in Building Energy Research, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Фев. 3, 2025

Язык: Английский

Mechanisms of non-stationary influence of urban form on the diurnal thermal environment based on machine learning and MGWR analysis DOI

Jun Zhao,

Fei Guo, Hongchi Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105194 - 105194

Опубликована: Янв. 11, 2024

Язык: Английский

Процитировано

36

Mapping local climate zones and its applications at the global scale: A systematic review of the last decade of progress and trend DOI

Renfeng Wang,

Mengmeng Wang, Chao Ren

и другие.

Urban Climate, Год журнала: 2024, Номер 57, С. 102129 - 102129

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

16

How does urban heat island differ across urban functional zones? Insights from 2D/3D urban morphology using geospatial big data DOI
Anqi Lin, Hao Wu, Wenting Luo

и другие.

Urban Climate, Год журнала: 2023, Номер 53, С. 101787 - 101787

Опубликована: Дек. 14, 2023

Язык: Английский

Процитировано

36

Surface urban heat island mitigation network construction utilizing source-sink theory and local climate zones DOI
Yang Xiang,

Qingya Cen,

Chucai Peng

и другие.

Building and Environment, Год журнала: 2023, Номер 243, С. 110717 - 110717

Опубликована: Авг. 9, 2023

Язык: Английский

Процитировано

29

CO2 uptake of urban vegetation in a warming Nordic city DOI Creative Commons
Minttu Havu, Liisa Kulmala, Hei Shing Lee

и другие.

Urban forestry & urban greening, Год журнала: 2024, Номер 94, С. 128261 - 128261

Опубликована: Фев. 17, 2024

Many cities are committed to reducing greenhouse gas emissions, improving air quality, and temperatures through climate actions. Maintaining or increasing carbon sinks in urban green areas is relevant, as the compensate a part of emissions addition themselves. This research assesses magnitude dioxide (CO2) net uptake (i.e. respiration CO2 by photosynthesis) local 2-m temperature Helsinki, Finland, using an ecosystem model SUEWS (The Surface Urban Energy Water Balance Scheme), examines their potential future changes due change. The was run at hourly resolution within entire city spatial 250 × m2. Two separate simulations were considered: present simulating years 2014–2019 2050s following scenario RCP8.5. Each modelled grid further divided into natural built surfaces Local Climate Zones (LCZs) determine how vegetation forests various types contributes cooling sequestration. According our simulations, space Helsinki annually sequestered 36.3 ± 7.7 kt C 2015–2019, offsetting circa 7% city's anthropogenic emissions. mean annual varied 2.1∘C between city. Although strongest (0.3 kg m−2 year−1), neighbourhoods contributed 47% Helsinki's sinks. expected increase with RCP8.5 on average 1.3∘C simulated area 11%, without altering existing spaces. Overall, this highlights significance change may influence role mitigating conditions environments.

Язык: Английский

Процитировано

16

Global 1 km land surface parameters for kilometer-scale Earth system modeling DOI Creative Commons
Lingcheng Li, Gautam Bisht, Dalei Hao

и другие.

Earth system science data, Год журнала: 2024, Номер 16(4), С. 2007 - 2032

Опубликована: Апрель 29, 2024

Abstract. Earth system models (ESMs) are progressively advancing towards the kilometer scale (“k-scale”). However, surface parameters for land (LSMs) within ESMs running at k-scale typically derived from coarse-resolution and outdated datasets. This study aims to develop a new set of global with resolution 1 km multiple years 2001 2020, utilizing latest most accurate available Specifically, datasets consist related use cover, vegetation, soil, topography. Differences between newly developed conventional emphasize their potential higher accuracy due incorporation advanced data sources. To demonstrate capability these parameters, we conducted simulations using E3SM Land Model version 2 (ELM2) over contiguous United States. Our results that contribute significant spatial heterogeneity in ELM2 soil moisture, latent heat, emitted longwave radiation, absorbed shortwave radiation. On average, about 31 % 54 information is lost by upscaling 12 resolution. Using eXplainable Machine Learning (XML) methods, influential factors driving variability loss were identified, highlighting substantial impact various as well mean climate conditions. The comparison against four benchmark indicates ELM generally performs simulating moisture energy fluxes. tailored meet emerging needs LSM ESM modeling implications our understanding water, carbon, cycles under change. publicly https://doi.org/10.5281/zenodo.10815170 (Li et al., 2024).

Язык: Английский

Процитировано

12

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

10

Urban heat dynamics in local climate zones (LCZs): A Systematic review DOI Creative Commons

Neshat Rahmani,

Ayyoob Sharifi

Building and Environment, Год журнала: 2024, Номер unknown, С. 112225 - 112225

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

10

How do driving factors affect the diurnal variation of land surface temperature across different urban functional blocks? A case study of Xi'an, China DOI
Kaixu Zhao,

Ning Ze-kui,

Xu Chen

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105738 - 105738

Опубликована: Авг. 10, 2024

Язык: Английский

Процитировано

9

Multi-Criteria Assessment of Urban Thermal Hotspots: A GIS-Based Remote Sensing Approach in a Mediterranean Climate City DOI Creative Commons
Javier Sola-Caraballo, Antonio Serrano-Jiménez, Carlos Rivera-Gómez

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(2), С. 231 - 231

Опубликована: Янв. 10, 2025

One of the most significant urban challenges focuses on addressing effects overheating as a consequence climate change. Several methods have been developed to characterize heat islands (UHIs); however, widely used involve complex planning, huge time consumption, and substantial human technical resources field monitoring campaigns. Therefore, this study aims provide an easily accessible affordable remote sensing method for locating hotspots addresses multi-criteria assessment heat-related parameters, allowing comprehensive city-wide evaluation. The novelty is based leveraging potential last Landsat 9 satellite, application kernel spatial interpolation, GIS open access data, providing very high-resolution land surface temperature images over spaces. Within workflow, city divided into LCZs, thermal are detected, finally, it analyzed understand how factors, such boundaries, building density, vegetation, affect scale LST, all using graphical analytical cross-assessment. methodology has tested in Seville, representative warm Mediterranean city, where variations up 10 °C found between homogeneous residential areas. Thermal located, representing 11% total fabric, while results indicate clear connection factors studied overheating. conclusions support possibility generating powerful tool future research design public policy renewal actions vulnerable

Язык: Английский

Процитировано

1