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Monjit Borthakur Anup Saikia Kiran Sharma 《Singapore journal of tropical geography》2020,41(3):341-366
Changing urban landscape with multistoried high rises, roads and pavements is continuously reducing urban green space. These structures result in high surface temperature variation within cities. To explore the relationship between surface temperature and normalized difference vegetation index (NDVI), this study estimates two models—geographically weighted regression (GWR) and a fixed effect panel data model in relation to the Guwahati Metropolitan Area (GMA), a secondary city in north east India. The results indicate the superiority of GWR regression in presence of spatial dependence. Panel data analysis shows that the densely populated urban areas in the GMA with less than 10 per cent greenery are 1°C warmer than the sub-urban areas with 50 per cent greenery. 相似文献
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背景气候和城市化对中国东南部增温的联合效应(英文) 总被引:5,自引:1,他引:5
Based on China homogenized land surface air temperature and the National Centers for Environmental Prediction/Department of Energy (NCEP/DOE) Atmospheric Model Intercomparison Project (AMIP)-Ⅱ Reanalysis data (R-2), the main contributors to surface air temperature increase in Southeast China were investigated by comparing trends of urban and rural temperature series, as well as observed and R-2 data, covering two periods of 1954-2005 and 1979-2005. Results from urban-rural comparison indicate that urban heat island (UHI) effects on regional annual and autumn minimum temperature increases account for 10.5% and 12.0% since 1954, but with smaller warming attribution of 6.2% and 10.6% since 1979. The results by comparing observations with R-2 surface temperature data suggest that land use change accounts for 32.9% and 28.8% in regional annual and autumn minimum temperature increases since 1979. Accordingly, the influence of land use change on regional temperature increase in Southeast China is much more noticeable during the last 30 years. However, it indicates that UHI effect, overwhelmed by the warming change of background climate, does not play a significant role in regional warming over Southeast China during the last 50 years. 相似文献
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The combined effects of two global trends, urbanization and climate change, have generated considerable concern regarding their adverse and disproportionate impacts on the health of urban populations. This study contributes to climate‐justice research by determining whether elevated levels of urban heat, indicated by land surface temperature (LST), are distributed inequitably with respect to race/ethnicity, age, and socioeconomic status in Pinellas County, Florida. Our study utilizes 2010 MODIS and Landsat medium‐resolution, remotely sensed thermal data, census socio‐demographic information, and both conventional and spatial statistical methods. Results indicate that LST is significantly greater in census tracts characterized by higher percentages of certain racial/ethnic minorities and higher poverty rates, even after controlling for contextual factors and the effects of spatial autocorrelation. This reveals the presence of a landscape of thermal inequity: uneven distribution of heat within the built urban environment and a community structure with varying vulnerability. 相似文献
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One significant effect of urbanization is the modification of natural surfaces, local environment, and thermal comfort. Farmland and agricultural land in Klang Valley conurbation, Malaysia have been replaced with engineered surfaces and infrastructures to accommodate the rapid population growth witnessed in the past decades. To understand the current environmental conditions of the conurbation, numerical Weather Research and Forecasting (WRF) model coupled to the Urban Canopy Model (UCM) was used. A model evaluation conducted against a network of observations showed an overall good performance of the model in predicting near-surface meteorological parameters. Also, an examination of spatiotemporal variability of urban parameters revealed a diurnal dependence of human physiological thermal conditions on urbanization level. A maximum urban heat island intensity (UHII) of ∼2.64 °C was observed. In an effort to investigate the effect of urbanization level on the extremities of urban climatic conditions, two different experiments with varying urban/vegetation fractions were further simulated. The latter results indicate that urbanization level has a significant effect on the extremities of urban climatological parameters and spatial extent of the induced impacts. Furthermore, the effect of urbanization level on the mean urban outdoor thermal discomfort (UOTD) level was significant (with an increase of 0.7 °C, 0.64 °C and 0.04 observed) for temperature humidity index (THI), effective temperature index (ETI) and relative strain index (RSI), respectively. However, a non-significant (at 95% level) effect of urbanization level on the extremities of UOTD indices was observed. 相似文献
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城市热岛效应已对建筑能源需求产生了重要影响,评估城市热岛效应影响下建筑的真实能耗需求及城乡差异对既有建筑的节能调控和未来建筑的方案设计都具有重要意义。论文以天津自动气象站2009—2017年逐时观测数据为基础,应用卫星遥感选站方法,选取天津市区周围4个有代表性的乡村参考气象站,对典型居住建筑全年逐时负荷进行了动态模拟,定量评估了城市热岛强度对不同时间尺度(年、日和小时)建筑负荷的影响。结果表明:① 随着城市热岛强度(IUHI)的增强,城市居住建筑供暖负荷减少、制冷负荷增加,且年平均供暖负荷的减小幅度大于年平均制冷负荷的增加幅度。IUHI每上升1 ℃,城市年平均供暖负荷较乡村减少4.01 kWh/m2、年平均制冷负荷增加1.05 kWh/m2。② 冬季供暖期和夏季制冷期逐日负荷变化表现为:供暖期的高负荷时段主要集中在12月下旬至翌年1月下旬、制冷期为7月下旬至8月上旬,高负荷时段城市日平均供暖和制冷负荷分别较乡村约减少10%、增加6%。③ 日内供暖负荷和制冷负荷小时变化均表现为夜间强于白天。在供暖期和制冷期,北京时间18:00至次日07:00时段无论在城市或是乡村都是高负荷时段;11:00至15:00时段在供暖期是低负荷时段,而在制冷期是高负荷时段,这可能与气温和供暖制冷需求有关。研究表明,应充分考虑小时、日尺度热岛强度对用能的影响,提高供暖和空调运行调控的精细化水平,以期达到降低供暖和制冷能耗的目的。 相似文献
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以佛山市“岭南天地”(祖庙-东华里历史文化街区)的“三旧”改造为案例,讨论历史文化名城核心区改造中城市更新概念的衍生、想象及认知局限性.尤其侧重于概念运用在历史文化名城老城核心区更新中的作用、价值及其在更新实践中的推动或限制因素.研究显示,“三旧”改造概念作为城市更新理念与佛山城市旧区改造的现实问题相互结合而衍生的“应景”产物,在运用中凝练了更新主体(地方政府)对旧区改造发展的愿望、想象和认知倾向.这使得“三旧”改造概念在历史文化名城城市更新中的应用存在部分的局限性.另一方面,“三旧”改造发展模式及其想象展望也可能只是地方政府及开发商谋求城市、产业发展和城市综合竞争力提升的一种手段.此外,研究显示,“三旧”改造概念只被地方政府和投资人用作组织与寻求他们各自关注点的一种达到目的的手段或技术,从本质上来说,这个概念对他们的吸引力在于与之相关联的资源,以及一种供使用、阐释、替换的语言.至于这个概念对历史文化名城城市更新的实用性,则似乎关注不够. 相似文献
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在全球气候变化和人类活动的影响下,森林生态系统结构、功能以及空间格局都将发生不同程度的变化。明晰景观尺度上未来森林的动态变化,对森林可持续发展具有重要意义。选择江西省泰和县为研究区,综合利用土地利用模型(CA-Markov)和森林景观动态模型(LANDIS-II),并结合生态系统过程模型(PnET-II),模拟气候变化、土地利用、采伐以及综合情景下未来40年(2010-2050年)阔叶林、针叶林的面积及生物量变化。结果表明:① 气候变化对森林面积影响较小,采伐使森林面积显著减少,土地利用变化使森林面积的变化更加剧烈;② 针叶林和阔叶林对不同干扰方式的响应表现出较强差异,针叶林对采伐的响应更加剧烈;③ 多模型综合模拟方法有助于区域森林管理,为南方红壤丘陵区森林结构优化和功能提升提供科学建议。 相似文献