Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation

The urban heat island (UHI) refers to the phenomenon of higher atmospheric and surface temperatures occurring in urban areas than in the surrounding rural areas. Mitigation of the UHI effects via the configuration of green spaces and sustainable design of urban environments has become an issue of increasing concern under changing climate. In this paper, the effects of the composition and configuration of green space on land surface temperatures (LST) were explored using landscape metrics including percentage of landscape (PLAND), edge density (ED) and patch density (PD). An oasis city of Aksu in Northwestern China was used as a case study. The metrics were calculated by moving window method based on a green space map derived from Landsat Thematic Mapper (TM) imagery, and LST data were retrieved from Landsat TM thermal band. A normalized mutual information measure was employed to investigate the relationship between LST and the spatial pattern of green space. The results showed that while the PLAND is the most important variable that elicits LST dynamics, spatial configuration of green space also has significant effect on LST. Though, the highest normalized mutual information measure was with the PLAND (0.71), it was found that the ED and PD combination is the most deterministic factors of LST than the unique effects of a single variable or the joint effects of PLAND and PD or PLAND and ED. Normalized mutual information measure estimations between LST and PLAND and ED, PLAND and PD and ED and PD were 0.7679, 0.7650 and 0.7832, respectively. A combination of the three factors PLAND, PD and ED explained much of the variance of LST with a normalized mutual information measure of 0.8694. Results from this study can expand our understanding of the relationship between LST and street trees and vegetation, and provide insights for sustainable urban planning and management under changing climate.     

Impact of Anthropogenic Heat Release on Regional Climate in Three Vast Urban Agglomerations in China简

We simulated the impact of anthropogenic heat release （AHR） on the regional climate in three vast city agglomerations in China using the Weather Research and Forecasting model with nested high-resolution modeling.Based on energy consumption and high-quality land use data,we designed two scenarios to represent no-AHR and current-AHR conditions.By comparing the results of the two numerical experiments,changes of surface air temperature and precipitation due to AHR were quantified and analyzed.We concluded that AHR increases the temperature in these urbanized areas by about 0.5℃-1℃,and this increase is more pronounced in winter than in other seasons.The inclusion of AHR enhances the convergence of water vapor over urbanized areas.Together with the warming of the lower troposphere and the enhancement of ascending motions caused by AHR,the average convective available potential energy in urbanized areas is increased.Rainfall amounts in summer over urbanized areas are likely to increase and regional precipitation patterns to be altered to some extent.     

Heat budget of the south-central equatorial Pacific in CMIP3 models

ABSTRACT Using data from 17 coupled models and nine sets of corresponding Atmospheric Model Intercomparison Project （AMIP） results, we investigated annual and seasonal variation biases in the upper 50 m of the south-central equatorial Pacific, with a focus on the double-ITCZ bias, and examined the causes for the amplitude biases by using heat budget analysis. The results showed that, in the research region, most of the models simulate SSTs that are higher than or similar to observed. The simulated seasonal phase is close to that observed, but the amplitudes of more than half of the model results are larger than or equal to observations. Heat budget analysis demonstrated that strong shortwave radiation in individual atmospheric models is the main factor that leads to high SST values and that weak southward cold advection is an important mechanism for maintaining a high SST. For seasonal circulation, large surface shortwave radiation amplitudes cause large SST amplitudes.     

水源热泵井群布置方案对地下水流场影响分析

以某地下水源热泵系统工程为例,依据工程场地实际抽水-回灌试验数据,建立研究区地下水流数值模拟模型,分析该地区适宜的井群布置方案,并定量研究不同井群布置方案对地下水流场的影响范围与程度,为确定合理的井群布置方案提供技术支撑。研究表明：对于同一含水层回灌,随着抽水-回灌时间的延长,就有利于抽水-回灌能力及尽量减小对周边地下水开采的影响而言,抽水井、回灌井交叉布置,部分回灌井集中布置的方案较为合理。     

Causes of geothermal fields and characteristics of ground temperature fields in China

There are many arguments on energy sources and main controlling factors of geothermal fields, so a systematic study on the distribution of ground temperature fields shall be necessary. In this paper the thermal conduction forward method of geothermal field is used to simulate cooling rate of abnormal heat sources and heat transfer of the paleo-uplift model. Combined with a large number of geothermal field exploration cases and oil exploration well temperature curves of domestic and foreign, the following conclusions are drawn: (1) According to the magmatic activity time, the magmatism activities are divided into two categories: Magma active areas (activity time < 500 000 years) and weak/magma inactive areas (activity time > 500 000 years). The latter has a fast cooling rate (the cooling time of the magma pocket buried around 10 km is less than 200 000 years) after it has intruded into the shallow layer and it has no direct contribution to modern geothermal fields; (2) China belongs to a weak/magma inactive area such as Tengchong region and Qinghai-Tibet region because the chronological data of these regions show that its magma activity time is more than 500 000 years; (3) The temperature of most geothermal fields can be obviously divided into three segments in the vertical direction: A high geothermal gradient segment (Segment H) at the surface, then a low geothermal gradient segment (Segment L) at a secondary depth, and finally a lower temperature segment (Segment D) at a deeper depth. The temperature isoline presents a mirror reflection relation on the temperature profile, indicating that geothermal field is dominated by heat conduction, rather than having an abnormally high temperature “heat source” to provide heat; (4) Near-surface (0-5 km) materials’ lateral heterogeneity caused by tectonic movement shall probably be the main controlling factor of ground temperature fields.     

地埋管地源热泵技术在贵州岩溶地区的应用研究

地埋管热泵技术是采集地表以下200 m深度内的浅层地热能进行供热制冷的新型能源利用技术,而该技术在贵州碳酸盐岩分布区的应用和推广之所以受到制约,其主要原因是岩溶地层中建造垂直换热孔的难度大、成本较高。通过贵州省有色科技大楼附楼采用垂直地埋管式与基础桩螺旋盘管式有效组合的换热系统,在岩溶一般至中等发育的碳酸盐岩地层中开发利用浅层地热能的成功经验的介绍,为地埋管热泵技术在贵州岩溶地区的应用和推广提供参考。     

红外光谱和拉曼光谱在热处理海蓝宝石鉴定中的应用

在适当的热处理条件下,黄绿色绿柱石能够转变为理想颜色的海蓝宝石。天然海蓝宝石与热处理海蓝宝石的价格差异较大,因此探索热处理海蓝宝石的诊断性鉴定特征就显得十分必要。对不同温度下热处理海蓝宝石进行傅里叶变换红外光谱和激光拉曼光谱的测试分析,结果发现,当热处理温度超过400℃后,随着加热温度的升高,在红外光谱中由[Fe2（OH）4]2＋伸缩振动gI起的3233cm叫处吸收谱峰明显减弱,直至消失。5268cm叫附近由水伸缩和弯曲振动}I起合频区的吸收带由尖峰变得宽缓;8700,6818cm叫两处水吸收峰的相对强度也随着加热温度升高而减弱。热处理海蓝宝石Si-0-Si伸缩振动产生的在682,3604cm叫处的拉曼光谱谱峰强度随着加热温度升高逐渐减弱,1070cm“处的拉曼峰强度明显降低。经700℃加热后,拉曼光谱基线明显向上方漂移。这些光谱特征变化对热处理海蓝宝石的鉴定有重要意义。     

地表城市热岛效应的概念内涵与定量刻画

明晰城市热岛（UHI）效应相关概念内涵、厘清其定量刻画方法是有效开展UHI效应研究的重要基础。全球城市化进程使UHI效应越发普遍,相关研究数量迅速增长并出现了UHI效应的多样认知,尤其对具有空间异质性表征优势的地表城市热岛（SUHI）效应开发了多样的定量刻画方法,但目前尚缺乏对其定量刻画方法的系统梳理。因此,本文对城市热岛、城市热岛效应、地表温度和城市热环境等易混淆概念进行了辨析,总结了各类UHI典型空间位置和尺度范围。在SUHI效应定量刻画中,将SUHI范围识别方法归结为城乡温度阈值、温度等级阈值、高斯拟合参数、温度衰减突变四大类,指出当前SUHI范围识别研究侧重于对SUHI影响规模的认知。研究同时对各类范围识别方法所对应的SUHI强度表征指标进行了梳理,认为理解指标本质内涵是掌握指标间潜在差异的前提。未来研究应整合多维度数据以突破单一SUHI监测途径,发展大尺度SUHI定量刻画方法以拓展定量研究的广度,认知连通化SUHI空间形态以挖掘范围识别研究的深度。     

中国城市群热岛效应时空演变及其影响因素分析

基于长期不透水面和MODIS地表温度数据,分析2000—2015年中国城市群扩张及热岛效应时空演变,进而综合采用冗余分析(RDA)、线性回归分析和变异分配分析(VPA)等方法,揭示城市群城市热岛效应的驱动机制。结果表明：城市群内建成区面积快速扩张,不透水面比例从2000年2.08%增长到2015年5.33%,且主要集中于珠江三角洲等沿海城市群;2000—2015年,夏季热岛分布较广,且白天强度高于夜晚。东部以及大部分北部城市群如哈长城市群等,降温强度较大,但其夜晚热岛效应在不同程度增强。冬季夜晚比白天热岛分布广、强度高,北方、西北、东部等地区夜晚热岛效应也在增强;自然环境因素显著影响城市群热岛强度,降水对夏季夜晚热岛强度起显著负贡献(22%),纬度越高,冬季夜晚热岛强度也越高。人为因素显著影响夜晚热岛分布和城市群内热岛强度的平衡,城市植被覆盖显著减少夜晚城市群内热岛分布,灯光强度对夏季夜晚热岛强度起显著负贡献(24%),对热岛比例起显著正贡献(27%),人口密度对夏季夜晚热岛强度起显著负贡献(31%);自然环境因素对热岛强度的贡献占主导,而人为干扰因素对热岛比例的贡献占主导。     

昌吉站迁站对气象要素影响及热岛强度指标分析

选取昌吉站旧址1981—2013年（其中1981—2008年为迁站前昌吉站资料,2009—2013年为旧址作为区域站Y5522所采集资料）、新址2009—2013年资料进行对比分析,并对新旧站址资料进行T检验,结果表明：迁站前后,新址与旧址气温、相对湿度、风速变化趋势基本一致,但变化幅度新址较旧址略大。两站气温差冬季变化最为明显,夏季变化最小;平均相对湿度新址较旧址偏高,各季差值在冬季最小;平均风速较旧址偏大0.9 m/s,最多风向新址为西风及西南风,旧址为西风;从年平均值的连续性看,年平均气温、年平均最低气温、年平均相对湿度连续性较差,年平均最高气温与年平均风速连续性相对较好。