Revealing Multiscale and Nonlinear Effects of Urban Green Spaces on Heat Islands in High-Density Cities: Insights from MSPA and Machine Learning

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106173 - 106173

Published: Jan. 1, 2025

Language: Английский

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Analysis of the Spatiotemporal Patterns of Water Conservation in the Yangtze River Ecological Barrier Zone Based on the InVEST Model and SWAT-BiLSTM Model Using Fractal Theory: A Case Study of the Minjiang River Basin

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(2), P. 116 - 116

Published: Feb. 13, 2025

The Yangtze River Basin serves as a vital ecological barrier in China, with its water conservation function playing critical role maintaining regional balance and resource security. This study takes the Minjiang (MRB) case study, employing fractal theory combination InVEST model SWAT-BiLSTM to conduct an in-depth analysis of spatiotemporal patterns conservation. research aims uncover relationship between dynamics watershed capacity ecosystem service functions, providing scientific basis for protection management. Firstly, is introduced quantify complexity spatial heterogeneity natural factors such terrain, vegetation, precipitation Basin. Using model, evaluates functions area, identifying key zones their variations. Additionally, employed simulate hydrological processes basin, particularly impact nonlinear meteorological variables on responses, aiming enhance accuracy reliability predictions. At annual scale, it achieved NSE R2 values 0.85 during calibration 0.90 validation. seasonal these increased 0.91 0.93, at monthly reached 0.94 0.93. showed low errors (RMSE, RSR, RB). findings indicate significant differences Basin, upper middle mountainous regions serving primary areas, whereas downstream plains exhibit relatively lower capacity. Precipitation, terrain slope, vegetation cover are identified main affecting changes having notable regulatory effect Fractal dimension reveals distinct structure which partially explains geographical distribution characteristics functions. Furthermore, simulation results based show increasingly climate change human activities frequent occurrence extreme events, particular, disrupts posing greater challenges Model validation demonstrates that SWAT integrated BiLSTM achieves high capturing complex processes, thereby better supporting decision-makers formulating management strategies.

Language: Английский

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Revealing the roles of climate, urban form, and vegetation greening in shaping the land surface temperature of urban agglomerations in the Yangtze River Economic Belt of China

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124602 - 124602

Published: Feb. 20, 2025

Language: Английский

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Exploring the seasonal impacts of morphological spatial pattern of green spaces on the urban heat island

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106352 - 106352

Published: April 1, 2025

Language: Английский

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Comprehensively Assessing Seasonal Variations in the Impact of Urban Greenspace Morphology on Urban Heat Island Effects: A Multidimensional Analysis

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106014 - 106014

Published: Nov. 1, 2024

Language: Английский

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The ideal characteristics of landscape pattern and morphological spatial pattern for seasonal cool island regulation in urban park green space

Urban forestry & urban greening, Journal Year: 2025, Volume and Issue: unknown, P. 128813 - 128813

Published: April 1, 2025

Language: Английский

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The role of urban green space morphology and threshold in cooling efficiency: evidence from five cities, China

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145580 - 145580

Published: April 1, 2025

Language: Английский

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Systematic Exploration of the Effect of Urban Green Space on Land Surface Temperature: A Scientometric Analysis

Buildings, Journal Year: 2025, Volume and Issue: 15(7), P. 1032 - 1032

Published: March 24, 2025

Urban green spaces (UGSs) are crucial for mitigating land surface temperature (LST) in the context of climate change and extremely high temperatures. Although numerous studies have explored impact UGSs on LST, a systematic understanding research scope, knowledge network structure, data sources, main methods, frontier trends this field is lacking. In study, 740 documents were retrieved from Web Science database, hotspots, trends, frontiers LST analyzed using scientometric analysis CiteSpace 6.2.R4 software. The results revealed that annual number publications citations has increased consistently, with rapid growth 2019 to 2024. However, communication dissemination findings hindered by lack efficient international collaboration networks academic institutions authors, highlighting need more vigorous global exchanges cooperation. Additionally, eight identified clusters extracted literature keywords, covering remote sensing, urban infrastructure, landscape patterns, spatial regression analysis, threshold values efficiency, etc., established specific content system, methodology. Furthermore, enhancing multi-disciplinary integration incorporating practical case will improve accuracy applicability facilitate translation theoretical into applications. This study provided comprehensive overview current offered valuable guidance studying thermal comfort sustainable development future.

Language: Английский

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Multiscale synergistic effects of urban green space morphology on heat-pollution: A case study of Guangdong-Hong Kong-Macao Greater Bay Area, China

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113390 - 113390

Published: March 26, 2025

Language: Английский

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