Analysis of Morphological Impacts on Cooling Effects of Urban Water Bodies in Five Cities of Zhejiang DOI Open Access
Hao Yang, Hao Zeng, Shaowei Chu

и другие.

Water, Год журнала: 2024, Номер 17(1), С. 80 - 80

Опубликована: Дек. 31, 2024

Urban water bodies play a critical role in regulating urban climate, mitigating the heat island effect, and enhancing ecological environments. This study focuses on five typical cities Zhejiang Province, systematically analyzing cooling effects of bodies. Specifically, divides buffer zones into basic analytical units based road network performs land surface temperature inversion use classification using Google Earth Engine platform. Six representative morphology indicators are selected, contributions these to evaluated Gradient Boosting Decision Tree regression model. Additionally, optimization strategies for different proposed. The results show following: (1) Water central areas generally exhibit significant effects, with average reduction exceeding 5.13 °C compared built-up all cities. (2) is higher than that areas, difference at least 0.63 °C. (3) In Huzhou Jiaxing, high-temperature low-temperature relatively concentrated, while Jinhua, Quzhou, Shaoxing, more interspersed distribution observed, reflecting spatial heterogeneity. (4) Among body indicators, edge density, proportion landscape area occupied by patches, largest patch index water, shape exert larger impact effects. These findings provide scientific guidance optimizing layout improving thermal

Язык: Английский

Characterization of Spatial and Temporal Variations in Air Pollutants and Identification of Health Risks in Xi’an, a Heavily Polluted City in China DOI Creative Commons
Li Han,

Yongjie Qi

Atmosphere, Год журнала: 2024, Номер 15(6), С. 716 - 716

Опубликована: Июнь 14, 2024

The study of the temporal and spatial characteristics air pollutants in heavily polluted cities is extremely important for analyzing causes pollution achieving a viable means control. Such case Xi’an, typical city Fenwei Plain, China, have remained unclear due to limitations data accuracy research methods. monthly, daily, hourly patterns O3 particulate matter (PM2.5 PM10) are analyzed this using on-site provided by an urban quality monitoring network. analysis variance (ANOVA) method was used compare differences pollutant concentrations during different seasons time periods. distributions O3, PM2.5, PM10 at points following interpolation sites been analyzed. results show that concentration from 12 p.m. 3 significantly higher than morning evening, PM2.5 7 10 were those afternoon. number qualified days less 30 unqualified more 100 2019. There potential risk exposure with associated health risks. Even on same day, can differ significantly. This provides scientific basis reducing exposure. Outdoor activities summer beneficial reduce exposure, outdoor should be curtailed evening winter government formulate public policies activities.

Язык: Английский

Процитировано

1

Towards Cleaner Air in Urban Areas: The Dual Influence of Urban Built Environment Factors and Regional Transport DOI
Li Han,

Yongjie Qi,

Dong Liu

и другие.

Environmental Pollution, Год журнала: 2024, Номер unknown, С. 125584 - 125584

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1

Assessing spatial pattern of urban green space coverage and its determining factors: a case study in the Yangtze River Delta region in China DOI
Xiaodan Liu, Yan Li, Henghui Xi

и другие.

Advances in Space Research, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

0

Visualization Analysis for the Service Functions and Ecological Benefits of Urban Green Space System Based on CiteSpace DOI

Hengyu Liu,

Zhouli Liu,

Xin Wang

и другие.

Опубликована: Сен. 20, 2024

Язык: Английский

Процитировано

0

Analysis of Morphological Impacts on Cooling Effects of Urban Water Bodies in Five Cities of Zhejiang DOI Open Access
Hao Yang, Hao Zeng, Shaowei Chu

и другие.

Water, Год журнала: 2024, Номер 17(1), С. 80 - 80

Опубликована: Дек. 31, 2024

Urban water bodies play a critical role in regulating urban climate, mitigating the heat island effect, and enhancing ecological environments. This study focuses on five typical cities Zhejiang Province, systematically analyzing cooling effects of bodies. Specifically, divides buffer zones into basic analytical units based road network performs land surface temperature inversion use classification using Google Earth Engine platform. Six representative morphology indicators are selected, contributions these to evaluated Gradient Boosting Decision Tree regression model. Additionally, optimization strategies for different proposed. The results show following: (1) Water central areas generally exhibit significant effects, with average reduction exceeding 5.13 °C compared built-up all cities. (2) is higher than that areas, difference at least 0.63 °C. (3) In Huzhou Jiaxing, high-temperature low-temperature relatively concentrated, while Jinhua, Quzhou, Shaoxing, more interspersed distribution observed, reflecting spatial heterogeneity. (4) Among body indicators, edge density, proportion landscape area occupied by patches, largest patch index water, shape exert larger impact effects. These findings provide scientific guidance optimizing layout improving thermal

Язык: Английский

Процитировано

0