Geospatial Analysis of Urban Heat Island Effects and Tree Equity

In recent decades, Urban Heat Island Effects have become more pronounced and more widely examined. Despite great technological advances, our current societies still experience great spatial disparity in urban forest access. Urban Heat Island Effects are measurable phenomenon that are being experienced by the world’s most urbanized areas, including increased summer high temperatures and lower evapotranspiration from having impervious surfaces instead of vegetation and trees. Tree canopy cover is our natural mitigation tool that absorbs sunlight for photosynthesis, protects humans from incoming radiation, and releases cooling moisture into the air. Unfortunately, urban areas typically have low levels of vegetation. Vulnerable urban communities are lower-income areas of inner cities with less access to heat protection like air conditioners. This study uses mean evapotranspiration levels to assess the variability of urban heat island effects across the state of Tennessee. Results show that increased developed land surface cover in Tennessee creates measurable changes in atmospheric evapotranspiration. As a result, the mean evapotranspiration levels in areas with less tree vegetation are significantly lower than the surrounding forested areas. Central areas of urban cities in Tennessee had lower mean evapotranspiration recordings than surrounding areas with less development. This work demonstrates the need for increased tree canopy coverage.

Spatial and temporal analysis of urban heat island effect over Tiruchirappalli city using geospatial techniques

Alterations made to the natural ground surface and the anthropogenic activity elevate the surface and air temperature in the urban areas compared with the surrounding rural areas,known as urban heat island effect.Thermal remote sensors measure the radiation emitted by ground objects,which can be used to estimate the land surface temperature and are beneficial for studying urban heat island effects.The present study investigates the spatial and temporal variations in the effects of urban heat island over Tiruchirappalli city in India during the summer and winter seasons.The study also identifies hot spots and cold spots within the study area.In this study,a significant land surface temperature difference was observed between the urban and rural areas,predominantly at night,indicating the presence of urban heat island at night.These diurnal land surface temperature fluctuations are also detected seasonally,with a relatively higher temperature intensity during the summer.The trend line analysis shows that the mean land surface temperature of the study area is increasing at a rate of 0.166 K/decade with p less than 0.01.By using the spatial autocorrelation method with the urban heat island index as the key parameter,hot spots with a 99 percent confidence level and a 95 percent confidence level were found within the urban area.A hot spot with 95 and 90 percent confidence level was identified outside the urban area.This spike in temperature for a particular region in the rural area is due to industry and the associated built-up area.The study also identified cold spots with a 90 percent confidence level within the rural area.However,cold spots with a 95 and 99 percent confidence level were not identified within the study area.

Impact of the Urban Heat Island Effect on Ozone Pollution in Chengdu City,China

With the advancement of urbanization,the urban heat island effect and ozone pollution have become hot issues in urban research.The urban heat island effect can impact ozone conversion,but its mechanism of action is unclear.In this study,the effects of the urban heat island effect on ozone concentration in Chengdu City,China,were investigated by comparing the ozone concentration under different heat island levels with ozone data from March 2020 to February 2021 and the temperature and wind field data of ERA5-Land during the same period.The results showed that:1)regarding the distribution characteristics,the ozone concentration in Chengdu presented a‘high in summer and low in winter’distribution.The ozone concentration in summer(189.54µg/m^(3))was nearly twice that in winter(91.99µg/m^(3)),and the ozone diurnal variation presented a‘single peak and single valley’distribution,with a peak at 16:00.2)For the characteristics of the heat island effect,the heat island intensity in Chengdu was obviously higher in spring than in other seasons,and the diurnal variation showed a‘single peak and single valley’distribution,with the peak and trough values appearing at 9:00 and 17:00,respectively.Spatially,the eastern part of Chengdu was a heat island,while the western and northwestern parts were mostly cold island.3)The correlation analysis between heat island intensity and ozone concentration showed a significant positive correlation but with a 7–8 h time lag.Ambient air temperature was not the main factor affecting ozone concentration.The heat island effect impacts the ozone concentration in two ways:changing the local heat budget to promote ozone generation and forming local urban wind,which promotes ozone diffusion or accumulation and forms different areas of low and high ozone values.

Changing Characteristics of Urban Heat Island Effect in Weihai City

Based on the local climate zoning theory and the observation data of hourly temperature of 22 automatic weather stations from 2012 to 2021, K-means clustering algorithm was used to analyze the daily, monthly, seasonal, annual and spatial variation characteristics of urban heat island effect in Weihai City in the past 10 years. The results showed that in recent 10 years, the average urban heat island intensity was 1.24 ℃, showing a gradual weakening trend of -0.169 3 ℃/10 a;the summer average heat island intensity was 0.86 ℃, showing a gradual weakening trend of -0.047 5 ℃/10 a. The heat island intensity had obvious diurnal variation characteristics, that is, "it was weak in the day and strong at night". In terms of seasonal variation, heat island effect was the weakest in summer, stronger in spring and autumn, and the strongest in winter. The diurnal, seasonal and annual changes of heat island intensity showed a reverse trend to those of temperature. The high-value area of urban heat island was highly consistent with human residential activity areas and industrial and commercial intensive areas, and the extension trend of heat island intensity was the same as the direction of urban development and construction. The "cold island phenomenon" in some offshore areas was related to the geographical location, terrain and the southeast monsoon trend in summer. The adverse effects of urban heat island effect can be reduced by optimizing the types and distribution of vegetation communities, rationally planning and constructing urban water body, promoting green building materials and adjusting shape design, etc.

Method for Evaluating the Influence of Obstruction of Sea Breeze by Clusters of High-Rise Buildings on the Urban Heat Island Effect

This study aims to propose a method for quantitatively evaluating the influence which the obstruction of sea breezes by clusters of high-rise buildings has on the urban heat island effect using a weather simulation model and Geographic Information Systems (GIS). Specifically, a method of evaluating the influence of the obstruction of sea breeze by high-rise buildings on the urban heat island effect was proposed. In the method, two scenarios that imagine urban forms which differ with regard to whether or not they contain high-rise buildings are created and weather simulation is conducted, and the results of the simulations are comparatively analyzed focusing on temperature and wind speed. Evaluation was conducted in two stages, and Shiodome of Minato City in the Tokyo Metropolis was selected as the region for evaluation. In two stages of evaluation, a rise in temperature of approximately 0.3 K and a reduction in wind speed of approximately 1 m/s were observed in a region approximately five to ten kilometers square downwind of high-rise buildings in the period 6 PM to 9 PM, and a higher temperature caused by the obstruction of sea breeze by high-rise buildings was identified. The fact that such a higher temperature was confirmed in the time period from 6 PM onwards, in which the temperature decreases, reveals that obstruction of sea breeze by high-rise buildings dulls the decrease in temperature which occurs from evening onwards, and influences nighttime urban heat island formation.

Characteristics of the Heat Island Effect in Shanghai and Its Possible Mechanism

The characteristics of the urban heat island effect and the climate change in Shanghai and its possible mechanism are analyzed based on monthly meteorological data from 1961 to 1997 at 16 stations in Shanghai and its adjacent areas. The results indicate that Shanghai City has the characteristics of a heat island of air temperature and maximum and minimum air temperature, a cold island of surface soil temperature, a weak rainy island of precipitation, and a turbid island of minimum visibility and aerosols, with centers at or near Longhua station (the urban station of Shanghai). Besides theses, the characteristics of a cloudy island and sunshine duration island are also obvious, but their centers are located in the southern part of the urban area and in the southern suburbs. A linear trend analysis suggests that all of the above urban effects intensified from 1961 to 1997. So far as the heat island effect is concerned, the heat island index (difference of annual temperature between Longhua and Songjiang s

城区与郊区NO_(2)-O_(3)作用的多重分形差异分析

为定量揭示城区和郊区O_(3)前体物对O_(3)生成的差异化影响,文章基于多重分形去趋势互相关分析法和K均值聚类算法,对2016-2022年四川省15个重点城市城区和郊区不同站点NO_(2)-O_(3)互相关性的多尺度特征进行对比分析。结果表明,城区和郊区大气NO_(2)-O_(3)互相关性均具有多重分形性及长期持续性特征,且郊区站点多重分形强度显著高于城区。城区和郊区NO_(2)-O_(3)互相关性多重分形强度差异呈现逐年递增规律,且受季节影响较大,其中夏季城区和郊区差异最大,冬季最小,这些差异主要受O_(3)前体物排放特征和热岛效应的影响。研究结果有助于从新的角度理解城区郊区大气污染差异及形成机理,为城郊O_(3)精细化预测模型的完善提供动力参数。

Characteristics of urban heat island effect in Lhasa City

This paper analyzes the Urban Heat Island （UHI） effect in Lhasa City of Tibet using meteorological observations, the Normalized Difference Vegetation Index （NDVI）, Land Surface Temperature （LST） data obtained from Earth Observing System/Moderate resolution Imaging Spectroradiometer （EOS/MODIS） information, and correlation and composite analyses. The results show： （1） Areas with high temperature are primarily located in the center of the city or nearby counties, while low temperature areas are in the suburbs of counties. The area with high temperature has expanded in recent years and some high-temperature centers have even migrated to certain other regions. （2） The UHI intensity tends to be stronger both in annual and seasonal variations, especially in winter. Also, LST is somewhat positively related to mean air temperature. （3） A negative correlation exists between the changes of LST and NDVI with the increase of vegetation from urban to rural areas in different seasons. （4） The UHI intensity is negatively correlated with precipitation while positively correlated with wind speed, and the relation between the UHI intensity and evaporation varies with the seasons, namely, the intensity is positively correlated with summer evaporation but negatively corre- lated with winter evaporation. （5） UHI intensity might be enhanced by intensified urbanization, wherein built-up areas expand, there is increased heat from human activity, and there is more artificial heat input to the atmosphere.

1991-2021年哈尔滨市热岛效应时空特征及影响因素分析

城市热岛效应对气候、居民身体健康及经济发展产生了深远影响。以哈尔滨市1991—2021年的温度数据为基础,运用Mann-Kendall突变、Sen+Mann-Kendall趋势分析、主成分分析等方法进行研究。结果表明,哈尔滨市热岛效应(UHI)31年来以0.05℃/10 a的速度呈波浪型增长,UHI的高值区以城区为主,年均UHI趋势系数呈-0.41~0.19/10 a,阿城区、宾县和哈尔滨站的UHI下降趋势显著。人口密度、年均人口和PM 2.5对UHI有正向影响,而风速对UHI的影响则是负向的。此研究结果对哈尔滨市的城市发展具有重要的指导意义。

Changes of Urban Boundary Layer Thermodynamic Stability Induced by Heat Island Effect and Their Influences on Precipitation

[Objective] The aim was to study the characteristics of the changes of the urban boundary layer thermodynamic stability induced by heat island effect and their influences on precipitation.[Method] Proceeding from the thermodynamic equation,the changes of urban boundary layer thermodynamic stability caused by the urban heat disturbance and the mean state of heat island effect were discussed.The influence of the changes of urban boundary layer thermodynamic stability on the precipitation was expounded.Combining with case study of precipitation in Xi’an,the test was verified.[Result] Under interaction between the disturbed temperature and disturbed airflow,the boundary thermal disturbed stability(θ’z) was positive in the urban zone,as well as in the upstream and downstream areas of the city.But the stability in the urban zone was weaker than the suburbs,which favored for the short-time convective precipitation.For the boundary layer mean thermal stability(θ-0-0z) under the interaction between the mean airflow and mean environmental temperature,if the city zone was in the front of the warm ridge,the stability in the upstream of the city weakened which increased the instability of the boundary layer,while it increased in the downstream of the city.It was contrary if the city zone was in the font of the cold trough.For the mean airflow(prevailing wind) and the mean horizontal disturbed temperature,if it was upward motion in the boundary layer,the boundary layer mean thermal disturbed stability(θ’-0z) was negative in the downstream and positive in the upstream.Strong precipitation occured in the upstream of the city.It was contrary if it was descending air in the boundary layer.[Conclusion] The above results served some references for the fine city forecast.

The Effects of Road and Other Pavement Materials on Urban Heat Island (A Case Study of Port Harcourt City)

Urban centers are consistently exhibiting higher temperature than its surrounding suburban rural areas. The large amount of heat generated from urban structures such as road materials and pavement materials and other anthropogenic heat sources are the main causes of Urban Heat Island (UHI). The sources of data for this research included primary and secondary sources. Other techniques employed for data collection were direct measurement and readings on the road and pavement materials. The research found out that, there was consistency in rising temperature at different time of the day by the different road and pavement materials. Asphalt has the greatest effect of increasing the urban temperature four degrees higher, followed by concrete, three degree rise in temperature, and earth (ordinary ground) by two degree rise and vegetation (grass) by one degree rise in temperature. The overall effect on the residents of the study area ranges from increase in hotness of the day;44.6% respondents agrees;while 34.3% says it affects the ambient air quality of the area, and other effects such as increased ground level ozone, suffocation, sleeplessness and restlessness as a result of excessive high temperature especially at night are identified in this paper. The research recommends the review or redesigning of the entire Port Harcourt city Master Plan to make provision for creation of more green areas rather than pavements and concreted areas to reduce the effects of (UHI) and ultimately improve the comfort and living conditions of the people in a the garden city Port Harcourt.

COVID-19大流行对南昌市热岛效应的影响评估

COVID-19疫情对城市环境产生了显著而广泛的影响。以南昌市为研究对象,运用劈窗算法,利用多时相遥感数据反演城市地表温度,由此对疫情不同阶段不同土地利用类型的热岛效应的时空分布特征进行了分析,从而揭示了COVID-19疫情防控不同时期城市热环境变化的规律。结果表明,与疫情之前同时期的情况对比,在2次封控管理期间,城市热岛效应分别下降了57%和49.3%,且这种下降幅度随着距离城市中心的增加而减小。此外,不同土地覆盖类型的热岛效应变化幅度存在差异。水体、森林、荒地和农田的热岛效应下降幅度相对较小,而城镇区域的热岛效应下降幅度较大。这些发现对深入理解疫情防控的不同阶段城市热环境的时空变化提供了重要的实证研究支持,也为优化城市规划和管理策略,减轻城市热岛效应,并为未来类似的突发事件提供参考。

Change Characteristics and Influencing Factors of Urban Heat Island Effect Intensity in Heyuan City

According to the data in the past nine years in Heyuan urban district and its adjacent five counties,annual,seasonal and monthly change characteristics of heat island effect in Heyuan City and its meteorological influence factors were analyzed. The results showed that the intensity of heat island effect in central urban district and suburb of Heyuan City overall showed an upward trend from 2007 to 2015. From 2007 to 2012,heat island effect showed a slow weakening trend; from 2012 to 2013,heat island effect significantly enhanced and then weakened; after 2013,heat island effect significantly reduced. Heat island effect of Heyuan was the strongest in winter,followed by autumn,and it was the weakest in summer.The strongest heat island effect occurred in October,while the weakest occurred in July. According to the grey correlation analysis,the main factors affecting urban heat island effect of Heyuan were analyzed,and the order of each influence factor was as follows: average wind speed > relative humidity > rainfall > sunshine hours.

Effects of Climate and the Urban Heat Island Effect on Urban Tree Growth in Houston

The growing conditions of urban trees differ substantially from forest sites and are mainly characterized by small planting pits with less water, nutrient and aeration availability, high temperatures and radiation inputs as well as pollution and soil compaction. Especially, global warming can amplify the negative effects of urban microclimates on tree growth, health and well-being of citizens. To quantify the growth of urban trees influenced by the urban climate, ten urban tree species in four climate zones were assessed in an overarching worldwide dendrochronological study. The focus of this analysis was the species water oak (Quercus nigra L.) in Houston, Texas, USA. Similar to the overall growth trend, we found in urban trees, water oaks displayed an accelerated growth during the last decades. Moreover, water oaks in the city center grew better than the water oaks growing in the rural surroundings of Houston, though this trend was reversed with high age. Growth habitat (urban, suburban, rural and forest) significantly affected tree growth (p < 0.001) with urban trees growing faster than rural growing trees and forest trees, though a younger age of urban trees might influence the found growth patterns. Growing site in terms of cardinal direction did not markedly influence tree growth, which was more influenced by the prevalent climatic conditions of Houston and the urban climate. Higher temperatures, an extended growing season and eutrophication can cause an accelerated growth of trees in urban regions across, across all climatic zones. However, an accelerated growth rate can have negative consequences like quicker ageing and tree death resulting in higher costs for new plantings and tree management as well as the decrease in ecosystem services due to a lack of old trees providing greatest benefits for mitigating the negative effects of the urban climate.

Inversion of Urban Heat Island Effect in Xi'an City

[Objective] The study aims at conducting the inversion of urban heat island effect in Xi＇an City. [Method] Based on the United States Landsat-7 ETM~ and TM data in different phases, the spatial distribution and changing trends of urban heat island effect in Xi＇an City were ana- lyzed, and some corresponding measures to relieve the heat island effect in Xran were put forward according to its spatial distribution and intensity changes. [ Result] Urban heat island effect was very obvious in Xi＇an City, that is, surface temperature of urban areas was distinctly higher than that of surrounding suburban areas, and the high-temperature region was akin to an island with a clear boundary. As the enlarging of Xi＇an City, the areas subjected to heat island effect expended toward the south and north especially. In addition, heat island effect of Lantian District became more prominent, so it should be paid more attention to. We suggest that some measures like improving urban vegetation coverage, reasonably planing urban buildings, reducing the discharge of man-made heat, preventing and controlling atmospheric pollution should be adopted to control urban heat island effect of Xi＇an City effectively. [ Concision] The study could offer theoretical references for the control of urban heat island effect and the im- provement of ecological environment in Xi＇an City.

Characteristics of Interdecadal Climate Change and Its Heat Island Effect in Ziyang City in Recent 60 Years

Based on 60 years of climate data from three national-level stations in Ziyang City,the characteristics of interdecadal variations of temperature,humidity,precipitation and sunshine that were closely related to heat island effect were analyzed.The data of township regional stations were used for comparison.The results show that the heat island effect value of Ziyang was between 0.3 and 4.3℃.It was the highest in 2015,up to 4.3℃;the minimum 0.3℃ appeared in 2011.The average heat island strength in the past 10 years was 1.2℃,and the average heating rate was 0.12℃/a.Among the four seasons,the highest value of heat island effect was 3.2℃ in summer,while the lowest value was 1.2℃ in winter.The order of heat island value in various seasons is as follows:summer>autumn>spring>winter.

基于卫星遥感的城市热岛效应体检评估--以武汉市为例

城市的快速发展导致建成区普遍出现了显著的热岛效应,给居民健康与能源负荷带来了巨大威胁。在“一年一体检,五年一评估”的背景下,将热岛效应纳入城市体检评估体系,对建成区热岛强度及相关气候风险开展常态化监测与周期性评估,是提升热岛问题精准治理能力的重要手段。在应对热岛效应复杂时空变化给精准分析所带来挑战的基础上,本研究依托卫星遥感数据,探索构建了“干扰控制—变化诊断—风险评估—规划应对”的体检评估框架,并对2016—2020年武汉市建成区内部热岛强度及其时序变化开展了评估。结果显示,武汉市热岛强度呈现出“内外双高,局部集聚、中间塌陷”的“U”型圈层式分异结构;2016—2020年,热岛区域面积及强度均呈现增长趋势,且增加幅度由中心向外逐渐增大;城市工业园区与老城区的热岛效应最为显著且处于持续恶化阶段,尤其是人口密集的老城区热暴露风险最高。根据热岛强度及相关热暴露风险的时空演变格局,研究从总体规划、控制性详细及规划管理层面提出了多层次规划协调的规划建议。本研究对提高城市热岛效应体检评估的科学性,推动热岛问题精准治理、建设高品质宜居城市具有理论与实践意义。

Change in Urban Wetlands and Their Cold Island Effects in Response to Rapid Urbanization

The cold-island effect of urban wetlands has received increasing attention in recent years due to its important role in the alleviation of urban heat islands.Hangzhou,a representative rapidly urbanizing city with rich wetlands in China,was selected as a case study for researching the changes that the urban wetlands have undergone and their impact on the urban thermal environment.Land surface temperature(LST) was acquired from the thermal infrared data of Landsat 5 Thematic Mapper(TM) images in 1990,1995,2000,2006,and 2010,using the single-channel method.The results are as follows:1) considering the changes in land use,the urban wetlands located to the west of Hangzhou have decreased significantly during 1990–2010 because of rapid urbanization.In the Xixi Wetland,the change in land use was relatively small and most of the water body and vegetation were preserved.However,to the east of the Xixi Wetland,large areas of water body and vegetation have been replaced by built-up land as a result of the urbanization process;2) considering the change in LST,it was found from land surface temperature retrieval that the changing spatial pattern of the thermal field was highly correlated with land use changes.Low temperature regions of the eastern Xixi Wetland were gradually eroded by high temperature regions,and the centroid of the heat island in East Xixi was found to be constantly shifting westward.In addition,the difference in LST between the Xixi Wetland and East Xixi has increased;3) considering the impact factors for this area,land use structure and patch shape were found to have a significant impact on LST,shown by the results of multiple linear stepwise regressions.Increasing the size of the wetlands in urban planning is considered to be the most effective measure in alleviating the urban heat island effect.Moreover,reducing the spatial complexity of landscape patches also contributes to the alleviation of the urban heat island effect.

基于“源-汇”景观格局的城市热岛效应及影响因素分析--以合肥市为例

选择城镇化增速居长三角三省一市第一位的合肥市作为研究区,通过提取植被指数、湿度指数、不透水面指数等地表特征敏感的遥感指数和地表温度来识别城市热岛的“源-汇”景观,结合土地利用类型对“源”景观贡献度及城市热岛效应进行研究.结果表明:合肥市热岛“源”景观的升温影响范围为150m,“源-汇”景观格局能有效缓解城市热岛效应,缓解程度由东南至西北呈强至弱的趋势,庐江县、巢湖市的缓解效果最好,蜀山区、瑶海区的缓解效果最差;“源-汇”景观面积的比值、“源”景观的有效粒径尺度越小,“源”景观的标准形状指数在0~0.35且景观斑块越离散,热岛效应的缓解程度越好;对任何地物斑块而言,热岛效应导致的温度上升都会削弱“源-汇”景观格局对热岛效应的抑制效率,增加林地的覆盖是减轻区域升温、缓解区域热岛的有效手段之一.

基于Landsat-8遥感影像的扬州市城市公园夏季温湿效应

基于GEE平台Landsat-8 OLI遥感影像,采用改进的辐射传输方程法,反演扬州市区33个城市公园的地表温度、湿度数据,分析公园空间构成指标与温湿效应的量化关系,以期为同类地区城市公园的规划设计提供理论与数据支撑。结果表明:1)降温增湿幅度与公园面积、周长呈显著对数正相关,与形状指数呈显著对数负相关。2)城市公园降温增湿效率存在阈值,其中对应的面积阈值分别为18~20 hm^(2)与9~10 hm^(2),对应的周长阈值分别为2.90~3.00 km与1.90~2.00 km;面积相近、公园形状越接近圆形,降温增湿效率越大。3)公园温湿效应与其内部绿地、水体面积呈显著对数正相关,与不透水面面积呈显著对数负相关。4)公园温湿效应影响的距离与公园规模呈显著非线性正相关,公园外240~270 m范围,温湿度变化明显;270 m以外,趋于稳定。