Advances in Building Energy Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23
Published: Feb. 3, 2025
Language: Английский
Advances in Building Energy Research, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23
Published: Feb. 3, 2025
Language: Английский
Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 101, P. 105194 - 105194
Published: Jan. 11, 2024
Language: Английский
Citations
36Urban Climate, Journal Year: 2024, Volume and Issue: 57, P. 102129 - 102129
Published: Sept. 1, 2024
Language: Английский
Citations
16Urban Climate, Journal Year: 2023, Volume and Issue: 53, P. 101787 - 101787
Published: Dec. 14, 2023
Language: Английский
Citations
36Building and Environment, Journal Year: 2023, Volume and Issue: 243, P. 110717 - 110717
Published: Aug. 9, 2023
Language: Английский
Citations
29Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: 94, P. 128261 - 128261
Published: Feb. 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.
Language: Английский
Citations
16Earth system science data, Journal Year: 2024, Volume and Issue: 16(4), P. 2007 - 2032
Published: April 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).
Language: Английский
Citations
12Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: April 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.
Language: Английский
Citations
10Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112225 - 112225
Published: Oct. 1, 2024
Language: Английский
Citations
10Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 114, P. 105738 - 105738
Published: Aug. 10, 2024
Language: Английский
Citations
9Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 231 - 231
Published: Jan. 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
Language: Английский
Citations
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