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Geospatial Analysis of Urban Heat Island Effects and Tree Equity
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作者 Jillian Gorrell Sharon R. Jean-Philippe +3 位作者 Paul D. Ries Jennifer K. Richards Neelam C. Poudyal Rochelle Butler 《Open Journal of Forestry》 2024年第1期1-18,共18页
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 a... 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. 展开更多
关键词 Spatial Analysis Land Cover Urban heat island effect (UHIE) EVAPOTRANSPIRATION Tree Canopy Impervious Surface GIS Prediction Model GIS Machine Learning
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Spatial and temporal analysis of urban heat island effect over Tiruchirappalli city using geospatial techniques 被引量:2
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作者 Ajay Badugu K.S.Arunab +1 位作者 Aneesh Mathew P.Sarwesh 《Geodesy and Geodynamics》 EI CSCD 2023年第3期275-291,共17页
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.Ther... 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. 展开更多
关键词 URBANIZATION Land surface temperature Urban heat island effect Hot spots Remote sensing
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Impact of the Urban Heat Island Effect on Ozone Pollution in Chengdu City,China
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作者 SHI Haoyuan SONG Xingtao ZENG Shenglan 《Chinese Geographical Science》 SCIE CSCD 2023年第6期1017-1032,共16页
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 un... 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. 展开更多
关键词 ozone pollution urban heat island effect heat island intensity lag correlation Chengdu China
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Changing Characteristics of Urban Heat Island Effect in Weihai City
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作者 Di WANG Qianqian SUN Wenpeng XIN 《Meteorological and Environmental Research》 2023年第6期8-15,共8页
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... 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. 展开更多
关键词 Urban heat island effect Local climate zoning K-means clustering algorithm Automatic weather station
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Effects of Climate and the Urban Heat Island Effect on Urban Tree Growth in Houston 被引量:1
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作者 Astrid Moser Enno Uhl +4 位作者 Thomas Rotzer Peter Biber Jens Dahlhausen Barry Lefer Hans Pretzsch 《Open Journal of Forestry》 2017年第4期428-445,共18页
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 inp... 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. 展开更多
关键词 Climate Change Growth Trends heat island effect Quercus nigra Tree Ring Analyses
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Characteristics of Interdecadal Climate Change and Its Heat Island Effect in Ziyang City in Recent 60 Years
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作者 Yu FENG Haiyan CHEN +1 位作者 Wen YANG Chao CHEN 《Meteorological and Environmental Research》 CAS 2022年第1期5-8,共4页
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 i... 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. 展开更多
关键词 CLIMATE INTERDECADAL heat island effect
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Characteristics of urban heat island effect in Lhasa City 被引量:1
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作者 Zhuo Ga YunDan NiMa +1 位作者 Jian Jun PuBu CiRen 《Research in Cold and Arid Regions》 2011年第1期70-77,共8页
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 Ob... 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 nega-tively 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. 展开更多
关键词 城市热岛效应 拉萨市 归一化植被指数 城市热岛强度 中分辨率成像光谱仪 MODIS资料 地表温度 特征
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Changes of Urban Boundary Layer Thermodynamic Stability Induced by Heat Island Effect and Their Influences on Precipitation 被引量:1
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作者 WANG Jian-peng1,SUN Ji-song2,WANG Shi-gong3,ZHANG Hong1,QU Jing1,MENG Xiao-rong1,JING Li-na1 Xi’an Meteorological Bureau,Xi’an 710016,China 《Meteorological and Environmental Research》 CAS 2011年第10期39-43,49,共6页
[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 ... [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-0-0z) 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. 展开更多
关键词 heat-island effect Boundary layer STABILITY PRECIPITATION China
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Change Characteristics and Influencing Factors of Urban Heat Island Effect Intensity in Heyuan City
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作者 Li Luosi Zheng Jinxin Li Xiaoling 《Meteorological and Environmental Research》 CAS 2018年第5期22-25,29,共5页
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 influ... 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. 展开更多
关键词 URBAN heat island effect VARIATION CHARACTERISTICS GREY correlation analysis Heyuan
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Method for Evaluating the Influence of Obstruction of Sea Breeze by Clusters of High-Rise Buildings on the Urban Heat Island Effect
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作者 Shota Sashiyama Kayoko Yamamoto 《Journal of Environmental Protection》 2014年第11期983-996,共14页
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 mo... 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. 展开更多
关键词 Urban heat island effect SEA Breeze CLUSTERS of HIGH-RISE Buildings WEATHER Simulation Model GIS
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Inversion of Urban Heat Island Effect in Xi'an City
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作者 LIU Hai-jun LI Xi-feng WANG Jin 《Meteorological and Environmental Research》 2012年第5期9-11,18,共4页
[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 ch... [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 analyzed, and some corresponding measures to relieve the heat island effect in Xi'an 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. [Conclusion] The study could offer theoretical references for the control of urban heat island effect and the improvement of ecological environment in Xi'an City. 展开更多
关键词 城市热岛效应 西安市 Landsat-7 反转 空间分布 表面温度 TM数据 模拟分析
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Characteristics of the Heat Island Effect in Shanghai and Its Possible Mechanism 被引量:15
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作者 陈隆勋 朱文琴 +1 位作者 周秀骥 周自江 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2003年第6期991-1001,共11页
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 ... 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 stations) strengthens (weakens) as the economic development increases (decreases). The authors suggest that the heating increase caused by increasing energy consumption due to economic development is a main factor in controlling the climate change of Shanghai besides natural factors. On the other hand, increasing pollution aerosols contribute to the enhancement of the turbid island and cooling. On the whole, the heating effect caused by increasing energy consumption is stronger than the cooling effect caused by the turbid island and pollution aerosols. 展开更多
关键词 上海 城市热岛效应 经济发展 气候变化 城市降雨 城市污染
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The Effects of Road and Other Pavement Materials on Urban Heat Island (A Case Study of Port Harcourt City) 被引量:1
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作者 Elenwo Ephraim Ikechukwu 《Journal of Environmental Protection》 2015年第4期328-340,共13页
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 ... 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. 展开更多
关键词 effectS Road and PAVEMENT Materials Urban heat island RESIDENTS PORT Harcourt
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Predicting Surface Urban Heat Island in Meihekou City, China: A Combination Method of Monte Carlo and Random Forest 被引量:3
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作者 ZHANG Yao LIU Jiafu WEN Zhuyun 《Chinese Geographical Science》 SCIE CSCD 2021年第4期659-670,共12页
Given the rapid urbanization worldwide, Urban Heat Island(UHI) effect has been a severe issue limiting urban sustainability in both large and small cities. In order to study the spatial pattern of Surface urban heat i... Given the rapid urbanization worldwide, Urban Heat Island(UHI) effect has been a severe issue limiting urban sustainability in both large and small cities. In order to study the spatial pattern of Surface urban heat island(SUHI) in China’s Meihekou City, a combination method of Monte Carlo and Random Forest Regression(MC-RFR) is developed to construct the relationship between landscape pattern indices and Land Surface Temperature(LST). In this method, Monte Carlo acceptance-rejection sampling was added to the bootstrap layer of RFR to ensure the sensitivity of RFR to outliners of SUHI effect. The SHUI in 2030 was predicted by using this MC-RFR and the modeled future landscape pattern by Cellular Automata and Markov combination model(CA-Markov). Results reveal that forestland can greatly alleviate the impact of SUHI effect, while reasonable construction of urban land can also slow down the rising trend of SUHI. MC-RFR performs better for characterizing the relationship between landscape pattern and LST than single RFR or Linear Regression model. By 2030, the overall SUHI effect of Meihekou will be greatly enhanced, and the center of urban development will gradually shift to the central and western regions of the city. We suggest that urban designer and managers should concentrate vegetation and disperse built-up land to weaken the SUHI in the construction of new urban areas for its sustainability. 展开更多
关键词 Monte Carlo and Random Forest Regression(MC-RFR) landscape pattern surface heat island effect Cellular Automata and Markov combination model(CA-Markov)
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Change in Urban Wetlands and Their Cold Island Effects in Response to Rapid Urbanization 被引量:5
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作者 ZHANG Wei JIANG Jingang ZHU Yubi 《Chinese Geographical Science》 SCIE CSCD 2015年第4期462-471,共10页
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... 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. 展开更多
关键词 快速城市化 城市湿地 地表温度反演 城市热岛效应 土地利用变化 Landsat 西溪湿地 图像数据采集
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通惠河(通州段)河道生态治理探析
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作者 凌玉梅 黎国文 《水利建设与管理》 2024年第2期45-48,7,共5页
通惠河(通州段)现状河段在排水、水资源生态利用、周边环境协调、水韵文化传承与发扬等诸多方面存在着不同程度的问题,亟须疏浚与治理。为加快实施该河段的治理,提升其作为通州新城城市内河的核心作用,针对问题成因进行分析,提出河道疏... 通惠河(通州段)现状河段在排水、水资源生态利用、周边环境协调、水韵文化传承与发扬等诸多方面存在着不同程度的问题,亟须疏浚与治理。为加快实施该河段的治理,提升其作为通州新城城市内河的核心作用,针对问题成因进行分析,提出河道疏浚治理对策和水生态环境提升建议,探讨治理的生态技术和工程措施,为该段河道治理提供参考。 展开更多
关键词 河流生态治理 河道疏浚 海绵城市 人工湿地 城市热岛效应
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哈尔滨城市森林景观季节变化对地表温度影响的定量研究
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作者 丛丹 王蕾 +4 位作者 贾佳 翟雅琳 张林萱 姚允龙 宁静 《中国城市林业》 2024年第1期34-42,共9页
城市森林是平衡城市环境温度的自然解决方案,对降低城市热岛负面影响和发挥生态效益具有重要意义。文章利用地理信息技术提取春季、夏季和秋季城市森林景观和LST空间信息,探究不同季节城市森林景观指标对LST变化的最佳解释模型。结果表... 城市森林是平衡城市环境温度的自然解决方案,对降低城市热岛负面影响和发挥生态效益具有重要意义。文章利用地理信息技术提取春季、夏季和秋季城市森林景观和LST空间信息,探究不同季节城市森林景观指标对LST变化的最佳解释模型。结果表明,不同季节城市森林景观组成指标与LST的相关性最为显著,但不同类型的林地景观与LST的相关关系和程度均存在差异。因此,丰富森林景观内部植被种类的多样性,增加城市森林斑块形状的复杂性,并联通单独的城森林景观斑块形成森林生态廊道,是最大限度发挥哈尔滨市城市森林景观调节LST效益的方法。 展开更多
关键词 城市森林 景观指数 热岛效应 地表温度
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基于新型探测资料对西安一次弱降水预报失误的原因分析
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作者 肖贻青 张黎 +2 位作者 姚静 刘慧 刘嘉慧敏 《气象科技》 2024年第1期104-115,共12页
利用微波辐射计、激光测风雷达、多普勒雷达、相控阵雷达等新型探测资料、地面加密观测资料、ERA5再分析及多模式数值预报结果对2022年4月24日西安城区一次弱降水预报出现明显失误的原因进行分析,结果表明:①全球数值预报模式和中尺度... 利用微波辐射计、激光测风雷达、多普勒雷达、相控阵雷达等新型探测资料、地面加密观测资料、ERA5再分析及多模式数值预报结果对2022年4月24日西安城区一次弱降水预报出现明显失误的原因进行分析,结果表明:①全球数值预报模式和中尺度数值预报模式对本次过程西安城区均报有明显降水,主要原因为模式对低层相对湿度预报明显偏大;②多种新型探测数据分析认为近地层湿度条件较差及中层的绝对水汽含量低,中层的干暖空气不利于成云致雨,垂直上升运动不强,且由于低层非常干燥,使水滴在下沉过程中蒸发,从而无法形成雨滴下落,这些原因共同造成西安城区无降水,低层相对湿度预报偏大是造成这次西安城区降水预报失误的主要原因之一;③造成西安城区近地层湿度条件差的原因是城市干热岛效应和低层干暖平流输送,且降水云团翻越秦岭后其湿空气绝热下沉至城区后出现增温降湿,使得城区形成较为深厚的干层,即使有雨滴在下落过程中也会造成更强的蒸发,这也是城区没有降水的重要原因之一;④预报员主观预报订正出现空报主要是源于对边界层水汽、抬升条件等关键降水要素缺乏订正能力,且对大城市的干热岛效应和秦岭山区地形影响研究不足。 展开更多
关键词 多源资料 弱降水 空报 大城市 干热岛效应
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南昌市城市热岛效应时空变化特征及模拟预测研究
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作者 柯琳琳 黄子璇 张绿水 《南方林业科学》 2024年第1期36-42,共7页
本文以南昌市为研究对象,利用Landsat系列遥感数据,结合大气校正法反演地表温度、构建气温预测GM模型等方法,获取南昌市城市热岛效应时空变化特征,并模拟预测未来的温度变化。结果表明:(1)2005-2021年,南昌市的最高地表温度值上升了25.3... 本文以南昌市为研究对象,利用Landsat系列遥感数据,结合大气校正法反演地表温度、构建气温预测GM模型等方法,获取南昌市城市热岛效应时空变化特征,并模拟预测未来的温度变化。结果表明:(1)2005-2021年,南昌市的最高地表温度值上升了25.36℃,最低温度值上升了11.59℃,高温地区呈高度中心聚集化分布。(2)南昌市热岛效应主要集中在人口聚集与高速发展的中心城区,且地表温度呈现以城市建成区为中心向周边扩散降低的趋势。(3)2021年后南昌市的年均温将持续攀升,城市热岛效应问题将愈发严峻。(4)通过分析下垫面类型与地表温度空间分布化之间的关系,得出水域和植被与城市地表温度呈负相关关系,可以在一定程度上改善热岛效应。本研究提出的南昌市城市热岛效应时空变化基础数据与理论依据,为减缓城市热岛效应提供了可行的方法。 展开更多
关键词 城市热岛效应 南昌市 遥感影像 灰色模型 气温预测
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GI格局影响区域气温的尺度效应和空间分异特征——基于天津市的实证
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作者 李沐寒 陈天 +2 位作者 王梓懿 李含嫣 唐爽 《中国园林》 CSCD 北大核心 2024年第3期126-131,共6页
绿色基础设施为应对气候变化提供了一种基于自然的解决方案,尤其在调节区域气温方面发挥着重要作用。既有关于绿色基础设施与区域气候关联性的研究主要关注规模数量对全局尺度气候因子的影响,对尺度变化及其空间异质性的讨论不足。以天... 绿色基础设施为应对气候变化提供了一种基于自然的解决方案,尤其在调节区域气温方面发挥着重要作用。既有关于绿色基础设施与区域气候关联性的研究主要关注规模数量对全局尺度气候因子的影响,对尺度变化及其空间异质性的讨论不足。以天津市为例,综合运用景观生态学和地理加权回归分析方法,在测度研究区绿色基础设施格局的基础上,深入探讨了绿色基础设施格局影响区域气温的尺度效应和空间作用规律。结果表明:1)绿色基础设施格局能够显著影响区域气温,且随着尺度增加各项格局指数与区域气温的相关程度均呈现先增大后减小的趋势,并在7km×7km尺度下达到峰值;2)各项格局指数与区域气温的相关程度整体上为面积类指数>聚集类指数>密度类指数>形状类指数;3)各项格局指数与区域气温的相关性具有空间非稳定性特征,其中半城市化地区的区域气温更易受到格局变化的影响。最后,提出以乡镇(街道)为单元的GI格局分区优化措施,以期为气候适应性规划设计和各类相关政策的制定提供科学指导。 展开更多
关键词 风景园林 绿色基础设施(GI) GI格局 热岛效应 城市区域气温 空间分异 天津
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