Analyzing the Influencing Factors of Urban Thermal Field Intensity Using Big-Data-Based GIS

Huang, Huanchun; Yang, Hailin; Deng, Xin; Cui, Hao; Liu, Zhifeng; Liu, Wei; Zeng, Peng

doi:10.1016/j.scs.2020.102024

Cited by 22 publications

(6 citation statements)

References 26 publications

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“…Blue-green spaces in cities serve as efficient heat regulation mechanisms, improving the urban thermal environment and thereby mitigating the urban heat island effect. Specifically, urban green spaces provide cooler outdoor environments via direct shading during the day and evapotranspiration at night Yu et al, 2023), while urban blue spaces decrease air temperatures through their high evaporation rates and specific thermal capacitance (Huanchun et al, 2020;Xi et al, 2023). By enhancing vegetation coverage and integrating water bodies, these spaces can lower the surface temperatures of buildings and roads, reduce heat radiation, and generate cooler climatic conditions, which can contribute to more enjoyable outdoor environments for urban residents (Cetin, 2020;Adiguzel et al, 2022).…”

Section: Ethics Statementmentioning

confidence: 99%

“…A strong correlation exists between blue-green spatial patterns and land surface temperature (LST) (Sun and Xue et al, 2019;Lan et al, 2022), with the degree of cooling being dependent on the size, shape, connectivity, and complexity of blue-green spaces (Gunawardena et al, 2017). For example, the size and distribution of urban green spaces considerably influence their ability to alleviate the heat island effect (Huanchun et al, 2020). Moreover, many landscape indicators, such as landscape shape index and patch density, have been widely used to reveal the relationship between the geometric properties of blue-green space and the UCI effect.…”

Section: Ethics Statementmentioning

confidence: 99%

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Nature-based Solutions for Urban Resilience and Human Health

2024

Frontiers Research Topics

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Climate change and rapid urbanization have significant impacts on biodiversity and ecosystem functions and services. Nature-based solutions (NBS) is an action to work with and enhance nature to solve social challenges, and NBS is an "umbrella concept" for other mature nature-based approaches. Blue-green spaces (BGS) can provide a wide range of ecosystem services, including mitigation of urban heat island effects, reduction of flooding, mitigation of air pollution, and provision of recreational spaces, thereby promoting physical and mental health. Hence, NBSs can serve as cost-effective climate mitigation and adaptation tool that contribute to additional co-benefits for ecosystem health and human well-being. Environmentalists, epidemiologists, ecologists, urban planners, and policymakers have paid more attention to NBSs for urban resilience and human health. In this Research Topic, we hope to discuss these topics: (1) ecological exposure and health benefits; (2) climate adaptation and human health promotion possibilities by NBSs; (3) methodological and theoretical approaches as well as technologies of NBSs corresponding to urban resilience; (4) underlying pathways and potential mechanisms of NBSs in improving human health; and (5) policies and management for planning and design of the successful implementation of NBSs in relation to urban resilience and human health. This Research Topic focuses on, but is not restricted to the following issues: • Nature-based interventions for climate adaptation. • Ecological exposure and physical and psychological health outcomes. • Climate adaption environmental policies and management.

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Section: Ethics Statementmentioning

confidence: 99%

Section: Ethics Statementmentioning

confidence: 99%

Nature-based Solutions for Urban Resilience and Human Health

2024

Frontiers Research Topics

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“…The NDBI, RND, POI, NLD, and PD all had positive effects on UHIs. The spatial information on urban public facilities contained in the POI data can be used to explore the spatio-temporal distributions of the densities of economic and social activities, and the relationship between the POI and UHIs has been verified [60], [61]. The NLD is also widely used to study UHIs at different scales [62], [63].…”

Section: A Factors Driving Uhismentioning

confidence: 99%

Examining Spatio-Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China

Sun¹,

Hu²,

Yu³

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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The urban environment is a complex system featuring interactions between nature and humans. Scant research on urban areas has analyzed and assessed urban heat islands (UHIs) from the perspectives of nature and humans. This study analyzes the spatio-temporal characteristics of UHIs in Hangzhou in China in the context of the relationship between nature and humans based on the standard deviational ellipse, Pearson correlation analysis, and principal component analysis. The results show the following: (1) From 2000 to 2020, the coverage of UHIs in the main urban area of Hangzhou decreased, but areas with sub-high temperatures and high temperatures increased. (2) From 2000 to 2020, the main axis of the spatial development of UHIs persisted along the northwest-southeast direction. The spatial pattern of UHIs in Hangzhou was closely related to the direction of urban development. (3) The results of principal component analysis show that socio-economic activities, surface coverage and topography were the major factors influencing UHIs in Hangzhou. (4) Natural factors have slowed the development of UHIs while human factors have aggravated their formation, where the former contributed more significantly to them than the latter. For each unit of change in nine factors that were considered, the surface temperature in the study area decreased by 0.166 units. Index Terms-Urban heat islands (UHIs), multisource data, natural and human factors, spatio-temporal database.

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“…Compared to show the high accuracy of this model. In this system, it was found that the presence of high concentrations of these three can play a positive role in trapping heat in space and reducing the speed of winds on the ground has also increased the likelihood of thermal islands [24]. In a study, the relationship between urban and non-urban green space was compared with surface temperature, and found that increasing urban green space reduces the likelihood of thermal islands [25].…”

Section: -Introductionmentioning

confidence: 99%

Modeling and Evaluation of Effective Factors on thermal islands with an approach based on fuzzy systems: A case study of Tehran

Arandin

Arabi

Jahdi

2023

Preprint

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Urban heat islands are areas where the development of urbanization and human activities have significantly increased the temperature of the area compared to the surrounding areas. The main goal of this research was to provide a simple, developable and appropriate analytical model so that it can contribute to the better management of urban services by predicting the areas with the highest probability of heat islands and accurate analytical estimation of its factors. In this study, a fuzzy logic method has been used to determine the location of heat islands in Tehran. First, all the factors are identified, and then Their analysis was assigned to each of the weighted data, finally by writing the law of fuzzy comparison, the comparison between the layers, and the extracted layers are done. According to the modeling results, the presence of urban heat islands causes warming of 1.3°C in summer and 1.4°C in winter. Due to the presence and development of cities and urban heat islands, the average O3 pollutants have increased by about 0.5 ppb, the average NO2 pollutants by about 2 ppb, and CO by about 40 ppb. Finally, by considering the coefficient of these factors and comparing the data of the model, an accuracy of 78.6% was obtained. The final results showed that in regions 9, 10, 11, 17, and 18 and parts of region 21 of Tehran, the possibility of heat islands is very high.

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Analyzing the Influencing Factors of Urban Thermal Field Intensity Using Big-Data-Based GIS

Cited by 22 publications

References 26 publications

Nature-based Solutions for Urban Resilience and Human Health

Nature-based Solutions for Urban Resilience and Human Health

Examining Spatio-Temporal Characteristics of Urban Heat Islands and Factors Driving Them in Hangzhou, China

Modeling and Evaluation of Effective Factors on thermal islands with an approach based on fuzzy systems: A case study of Tehran

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