Modeling urban heat islands in heterogeneous land surface and its correlation with impervious surface area by using night-time ASTER satellite data in highly urbanizing city,Delhi-India

The present study is an assessment and identification of urban heat island (UHI) in the environment of one of the fastest urbanizing city of India, Delhi Metropolis, employing satellite image of ASTER and Landsat 7 ETM+ in the thermal infrared region 3–14 μm. Temporal (2001 and 2005) ASTER datasets were used to analyze the spatial structure of the thermal urban environment subsequently urban heat island (UHI) in relation to the urban surface characteristics and land use/land cover (LULC). The study involves derivation of parameters governing the surface heat fluxes, constructing statistics of ASTER thermal infrared images along with validation through intensive in situ measurements. The average images reveal spatial and temporal variations of land surface temperature (LST) of night-time and distinct microclimatic patterns. Central Business District (CBD) of Delhi, (Connaught Place, a high density built up area), and commercial/industrial areas display heat islands condition with a temperature greater than 4 °C compared to the suburbs. The small increase in surface temperature at city level is mainly attributed to cumulative impact of human activities, changes in LULC pattern and vegetation density. In this study the methodology takes into account spatially-relative surface temperatures and impervious surface fraction value to measure surface UHI intensity between the urban land cover and rural surroundings. Both the spatial and temporal variation in surface temperature associated with impervious surface area (ISA) has been evaluated to assess the effect of urbanization on the local climate.     

Using land use change trajectories to quantify the effects of urbanization on urban heat island

This paper proposed a quantitative method of land use change trajectory, which means the succession among different land use types across time, to examine the effects of urbanization on an urban heat island (UHI). To accomplish this, multi-temporal images from Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) of Xiamen City in China from 1987 to 2007 were selected. First, the land use change trajectories were extracted based on the classified images from different years. Then the land surface temperatures (LST) were retrieved and the magnitudes of the UHI were evaluated using the UHI intensity (UHII) indicator. Finally, the indices of the contribution to UHI intensity (CUHII) were constructed and calculated to quantify the effects of each land use change trajectory on the UHI during urbanization. The results demonstrated that the land use change trajectories and CUHII are effective and useful in quantifying the effects of urbanization on UHI. In Xiamen City, a total of 2218 land use change trajectories were identified and 530 of them were the existing urban or urbanization trajectories. The UHII presents a trend of continuous increase from 0.83 °C in 1987 to 2.14 °C in 2007. With respect to the effects of urban growth on UHI, the contribution of existing urban area to UHI decreased during urbanization. Prior to 2007, the existing urban area of trajectory NO. 44444 had the most significant effect on UHI with the greatest CUHII, while the value has decreased from 55.00% in 1987 to 13.03% in 2007 because of the addition of new urbanized area. In 2007, the greatest CUHII was replaced by a trajectory from farmland to built-up area (NO. 22224) with the CUHII of 21.98%, followed by the existing urban area of trajectory NO. 44444 with the CUHII of 13.03%. These results provide not only a new methodology to assess the environmental effects of urbanization, but also decision-supports for the planning and management of cities.     

空调座舱热舒适性计算

 热舒适性是评价座舱空调系统的重要指标.根据人体热平衡方程和Fanger的舒适性假设建立了空调座舱的热舒适性计算模型,并给出了空调座舱热环境的评价方法,从而为热舒适的定量评价奠定了理论基础.应用此模型对3种座舱空调方案的热舒适性进行了计算,从热舒适角度比较了3种方案的优缺点,结果表明方案3是最优方案.     

民机客舱中太阳辐射对热舒适性的影响

乘客出行过程中对于热舒适度要求不断提高,对民机客舱的整体热舒适性提出了更加严格的要求。通过对南北飞行的航班实际测量发现,由于受到太阳辐射的影响,客舱内部向阳和背阴两侧温度分布极不均匀,特别是窗户周围,平均温差达到20℃,客舱向阳和背阴两侧的热舒适性相差较大;结合CFD动态仿真,基于实际客舱各区实时测量数据,建立等比例客舱仿真模型,以实际测量的温度和压力数据作为仿真边界条件,再现民机客舱内部温度和热舒适度PMV的分布情况,为定量分析南北飞行航班客舱的热舒适性提供理论依据。      

Influence of processing and external storage conditions on the performance of envelope materials for stratospheric airships

Envelope materials are extremely vital for stratospheric airships, which are widely used in numerous applications. The influence of processing as well as the storage and utilization conditions on the performance of envelope materials has been studied systematically for the first time. Results show that the performance of envelope materials depends largely on the hot-pressing temperature and the flexing during processing. The tensile strength of samples dropped to 289.1 ± 8.0 MPa from 346.6 ± 9.3 MPa when pressed at temperature above 180 °C and helium leakage appeared. The outer layers would be worn off when flexed no matter by manual or machine, resulting in dramatic increase of helium permeability and even leakage as well as varying decrease of mechanical properties. Hence, suitable hot-pressing temperature and limitation of flexing as little as possible during processing are essential to obtain products with suitable properties. Besides, the storage and utilization conditions are also critical to the properties of envelope materials. Both naturally aged samples in outdoor storage on ground and samples recovered from actual flight on stratospheric airship exhibited reduced mechanical properties and even helium leakage due to excess solar irradiation, ozone concentration and energetic particles interaction compared with those stored indoors. The weatherability of envelope materials should be further strengthened in the next few years. This research could provide a theoretical guidance for actual practice.     

Influence of land surface parameters on the spatio-seasonal land surface temperature regime in rural West Bengal,India

The magnitude and causes of changes in the land surface temperature of rural areas have not been extensively studied. The thermal band of Landsat imagery is taken to extract winter, summer, and monsoon season land surface temperature (LST) and relate it to surface parameters over a 30-year period. From the extracted parameters constructed a prospective surface temperature (PST) model using Multivariate Adaptive Regression Splines. The Chandrabhaga river basin in West Bengal of the lateritic Rarh Tract at the Chota Nagpur Plateau fringe was chosen as the study area because it is far from urban influences, to avoid the well-known heat island effect. Over the study period, summer and winter average LST increased linearly by 0.085?°C/y and 0.016?°C/y respectively. These results were validated with air temperature (RMSE?=?x and y, respectively). Over time more of the area is in the higher temperature zones, e.g., in April 2011, 4% area exceeded >32°, whereas in 2015 this proportion reached 52%. PST models of all the seasons were moderate to highly correlate (0.57–0.87) with actual LST, showing the value of this model. It also revealed the relative importance of the regional factors. Based on this information factor management is a scientific step to restrict or minimize the temperature rise effect.     

Exploring the effect of COVID-19 pandemic lockdowns on urban cooling: A tale of three cities

COVID-19 pandemic has had a major impact on our society, environment and public health, in both positive and negative ways. The main aim of this study is to monitor the effect of COVID-19 pandemic lockdowns on urban cooling. To do so, satellite images of Landsat 8 for Milan and Rome in Italy, and Wuhan in China were used to look at pre-lockdown and during the lockdown. First, the surface biophysical characteristics for the pre-lockdown and within-lockdown dates of COVID-19 were calculated. Then, the land surface temperature (LST) retrieved from Landsat thermal data was normalized based on cold pixels LST and statistical parameters of normalized LST (NLST) were calculated. Thereafter, the correlation coefficient (r) between the NLST and index-based built-up index (IBI) was estimated. Finally, the surface urban heat island intensity (SUHII) of different cities on the lockdown and pre-lockdown periods was compared with each other. The mean NLST of built-up lands in Milan (from 7.71 °C to 2.32 °C), Rome (from 5.05 °C to 3.54 °C) and Wuhan (from 3.57 °C to 1.77 °C) decreased during the lockdown dates compared to pre-lockdown dates. The r (absolute value) between NLST and IBI for Milan, Rome and Wuhan decreased from 0.43, 0.41 and 0.16 in the pre-lockdown dates to 0.25, 0.24, and 0.12 during lockdown dates respectively, which shows a large decrease for all cities. Analysis of SUHI for these cities showed that SUHII during the lockdown dates compared to pre-lockdown dates decreased by 0.89 °C, 1.78 °C, and 1.07 °C respectively. The results indicated a high and substantial impact of anthropogenic activities and anthropogenic heat flux (AHF) on the SUHI due to the substantial reduction of huge anthropogenic pressure in cities. Our conclusions draw attention to the contribution of COVID-19 lockdowns (reducing the anthropogenic activities) to creating cooler cities.     

大型客机驾驶舱气流热仿真及舒适性评价

驾驶舱的空气速度场和温度场直接影响驾驶员的热舒适和工效,是驾驶舱结构和环境控制系统设计中考虑的重要内容.对B737-800驾驶舱进行全尺寸三维建模,以高空夜航工作情况为例,采用商用CFD(Computational Fluid Dynamics)软件Fluent计算该驾驶舱的流场和温度场,再用平均温度评价指标和热环境综合评价指标PMV(Predicted Mean Vote)来对驾驶舱进行温度环境客观评价,并采用问卷调查法对飞行员进行驾驶舱内部空气流速和温度舒适度的主观评价.数值仿真结果与主观评价结果都得出B737-800驾驶舱在高空夜航时基本处于舒适的环境,除躯干和脚部由于偏凉而略感不舒适.数值仿真结果与客观评价结果的一致性,验证了大型客机驾驶舱气流热仿真的准确性.     

A comparison of different regression models for downscaling Landsat and MODIS land surface temperature images over heterogeneous landscape

Remotely sensed high spatial resolution thermal images are required for various applications in natural resource management. At present, availability of high spatial resolution (<200 m) thermal images are limited. The temporal resolution of such images is also low. Whereas, coarser spatial resolution (∼1000 m) thermal images with high revisiting capability (∼1 day) are freely available. To bridge this gap, present study attempts to downscale coarser spatial resolution thermal image to finer spatial resolution using relationships between land surface temperature (LST) and vegetation indices over a heterogeneous landscape of India. Five regression based models namely (i) Disaggregation of Radiometric Temperature (DisTrad), (ii) Temperature Sharpening (TsHARP), (iii) TsHARP with local variant, (iv) Least median square regression downscaling (LMS_DS) and (v) Pace regression downscaling (PR_DS) are applied to downscale LST of Landsat Thematic Mapper (TM) and Terra MODIS (Moderate Resolution Imaging Spectroradiometer) images. All the five models are first evaluated on Landsat image aggregated to 960 m resolution and downscaled to 480 m and 240 m resolution. The downscale accuracy is achieved using LMS_DS and PR_DS models at 240 m resolution at 0.61 °C and 0.75 °C respectively. MODIS data downscaled from 1000 m to 250 m spatial resolution results root mean square error (RMSE) of 1.43 °C and 1.62 °C for LMS_DS and PR_DS models, respectively. The LMS_DS model is less sensitive to outliers in heterogeneous landscape and provides higher accuracy when compared to other models. Downscaling model is found to be suitable for agricultural and vegetated landscapes up to a spatial resolution of 250 m but not applicable to water bodies, dry river bed sand sandy open areas.     

Ionospheric response to the storm-time disturbance of 29 May, 2010

The Ionospheric F2-layer peak parameters response to a magnetic storm had been investigated over Ilorin, Nigeria (Lat. 8:53°N, Long. 4.5°E, dip angle, −2.96°), Jicamarca, Peru (11.95°S, 76.87°W, dip angle, 0.8°) and Hermanus, South Africa (34.42°S, 19.22°E, dip angle, −60.77°), using percentage enhancement/depletion values. Our results showed an enhancement in NmF2 at all of these stations. Averagely, pre-noon and post-noon peaks are highest at Ilorin during quiet time. The similar pattern observed for quiet condition between Ilorin and Jicamarca was due to their latitudinal positions. For disturbed NmF2 condition, Jicamarca and Ilorin recorded higher peaks at nighttime than during the daytime for the storms main phase, and the reverse over Hermanus. The nighttime and daytime increases were observed respectively at Ilorin and Hermanus during the recovery period. The hmF2 variation recorded higher enhancement at Jicamarca during the daytime and at Hermanus at nighttime during the main phase. During the recovery phase, the highest enhancement was recorded during the daytime at Jicamarca, and over Hermanus at nighttime. These observations find their explanation in the magnetospheric current, solar wind and E × B drift.     

基于地面移动通信基站的差分气压测高方法

为了解决现有的卫星定位系统高程定位精度较低的问题,提出利用已发展完备的地面移动通信基站作为气压差分测量基准点的差分气压测高的方法.该方法以用户接收机附近的分布密集的地面移动通信基站为气压校正基准点,并利用移动通信基站的传输链路把相关的测量数据传送给用户,用户接收机便可以用移动通信基站观测点的高程值、气压值以及温度值,结合接收机测点处的气压值和温度值,利用高程与气压值之间的对应关系,得到用户接收机处的绝对高程值.实际试验结果表明:使用本方法后,室内高程定位精度约为1 m,室外的高程定位精度优于1 m.测高分辨率约为0.2 m,可以使GNSS(Global Navigation Satellite System)的三维位置定位精度提高约60%.本方法不仅可以弥补GNSS高程精度差的缺陷,作为高程约束参与测量方程解算还会提高水平测量精度,而且还克服了传统的气压测高精度依赖于气象站,而大多数用户接收机离气象站的距离较远,造成气压测高精度偏低的局限性.所以本方法能辅助增强卫星导航系统,提高三维定位精度,用于室内定位可以解决室内楼层的分辨问题.     

双干涉光纤陀螺光纤环温度致非互易性分析

双干涉光纤陀螺是一种新型光纤陀螺,可加倍Sagnac信号,具有轻小型、高信噪比的优点.为改善双干涉光纤陀螺光纤环的温度性能,针对其光路建立了光纤环温度致非互易误差模型,仿真分析了光纤环中90°熔点位置对温度致非互易误差的影响,提出了将90°熔点置于光纤环中点时陀螺的温度致非互易误差将显著减小,并进行了实验验证,实验结果与理论分析相符.结果表明将90°熔点置于光纤环中点可使双干涉光纤陀螺的温度致非互易误差降低为原来的1/400.      

Variations of total electron content over high latitude region during the ascending phase of 24th solar cycle

The solar cycle variation and seasonal changes significantly affects the ionization process of earth’s ionosphere and required to be monitored in real time basis for regional level refinement of existing models. In view of this, the present study has been carried out by using the ionospheric Total Electron Content (TEC) data observed with the help of Global Ionospheric Scintillation and TEC monitoring (GISTM) system installed at Indian Antarctic Research Station, “Maitri” [70°46′00″S 11°43′56″E] during the ascending phase of 24th solar cycle. The daily values of solar extreme ultraviolet (EUV) flux (0.1–50?nm wavelength), 10.7?cm radio flux F_10.7 and Sunspot number (SSN) has been taken as a proxy to represent the solar cycle variation to correlate with TEC. The linear regression results revels better correlation of TEC with EUV flux rather than F_10.7 and SSN. Also, the EUV and TEC show better agreement during summer as compared to winter and equinox period. Correlation between TEC and EUV appears significantly noticeable during ten internationally defined quiet days of each month (stable background geophysical condition) as compared to the overall days (2010–2014). Further, saturation effect has been observed on TEC values during the solar maxima year 2014. The saturation effects are more prominent during the night hours of winter and equinox season due to transportation losses manifested by the equator-ward direction of meridional wind.     

薄壁试件脉冲热像法深度检测模型分析

脉冲热像法作为红外热像检测中具有定量分析能力的方法,其主要检测模型温差函数法在薄壁试件的缺陷深度检测时存在失效问题.为找出建模过程中的缺陷,以理想脉冲激励下一维有限形式的解析解替代原温差函数模型中的近似解,在温差曲线和温差导数曲线中,对模型中的核心参数峰值温差时间和峰值斜率时间的使用特性进行了比较分析.结果显示:峰值温差时间由参考点决定,而不由测试点决定,峰值温差时间不具备对缺陷深度的定量检测能力;峰值斜率时间的适用范围受到测试点与参考点实际深度之比的限制,根据给出的适用性判据公式求得该比值的上限在0.5附近,判据公式可作为使用峰值斜率时间的理论依据.     

真空条件下多孔平板发汗冷却试验研究

发汗冷却是解决高速飞行器关键部位热防护问题的有效途径。以不同材料的多孔平板为研究对象,以水为冷却剂,利用自行设计搭建的试验平台对多孔平板发汗冷却过程进行瞬态试验测量,得到了不同热流加热环境下不同材料多孔平板内外壁温度变化,并分析冷却剂对不同材料的冷却效果。结果表明:发汗冷却极大降低了多孔平板内外壁温度,起到了有效的主动热防护作用。对于镍、铜金属多孔平板,保持冷却剂水流量约3.5 g/s,在热流密度小于120 kW/m2的条件下,多孔平板内外壁温度稳定在30~50℃。对于陶瓷多孔平板,保持冷却剂水流量约0.32 g/s,在热流密度小于220 kW/m2的条件下,多孔平板内外壁温度基本稳定在30~40℃。在高热流密度315 kW/m2的条件下,对于镍、铜金属和陶瓷多孔平板,发汗冷却时平板内壁温度变化不大,外壁温度分别稳定在约260℃、110℃和130℃。外壁冷却剂处于完全汽化状态,且冷却剂汽化相变位置在多孔平板内部。若无发汗冷却,多孔平板内外壁温度快速升高,其平衡温度较有发汗冷却时大幅提高,进一步表明发汗冷却的巨大应用潜力。      

碳基高导热材料及其在航天器上的应用

在分析航天器对于高导热材料的需求及应用特点的基础上,将碳基导热材料分为高导热石墨扩热板和高导热柔性石墨膜,总结了其在航天器上的典型应用场景.高导热柔性石墨膜可用于复杂结构等温化设计、柔性热传输等,高导热石墨扩热板可用于大功率元器件或设备扩热与传输.针对现有柔性导热材料柔韧性差、尺寸小、厚度薄等应用瓶颈,采用固相发泡技术...     

Proposals for an Indian standard tropical atmosphere up to 50 km

In an earlier report [1] the authors proposed an Indian Standard Tropical Atmosphere (ISTA1) from mean sea level to 20 km. This proposal describes adequately the mean conditions from 0° to about 30°N. The present work extends ISTA1 to the higher altitude of 50 km based oni. World Data Center A reports on Rocket firings [2],ii. M-100 rocket data for Thumba, India [3],iii. Northern Reference Atmospheres data of Cole and Kantor [4], andiv. Southern Reference Atmospheres data of Koshelkov [5].The proposed atmosphere, called ISTA7, has a sea level temperature of 30°C and a constant lapse rate of 6.5°C/km up to 16 km, as in ISTA1; from a temperature of -74°C at this altitude, there is a constant lapse rate of -2.3°C/km up to 46 km where the temperature is -5°C; the temperature remains constant thereafter up to 50 km. The fact that variations with longitude are weak except at very high latitudes [4], together with the fact that around 50 km, the temperature increases from low to high latitudes, lead us to propose a constant temperature of -5°C between 46 and 50 km, even though this temperature is slightly higher (by about 5°C) than the Thumba data.$\text{1}$/     

导航卫星原子钟舱温度控制方法及其验证

原子钟是导航卫星的重要组成部分,可为卫星系统提供高准确及高稳定度的时间频率源.原子钟工作性能与环境温度变化密切相关,为保证其在轨连续、稳定运行,热控系统需为其提供良好的工作温度环境.本文以某导航卫星原子钟舱温度控制为研究内容,给出原子钟舱热控设计方案、控制算法,并进行仿真分析和试验验证.在轨遥测数据表明,卫星原子钟舱热控方案和控制算法设计合理,仿真分析及试验结果有效,各原子钟在轨工作温度满足要求,原子钟温度稳定度满足并优于设计指标近一个数量级.     

环氧树脂官能团热稳定性排序

高聚物分子中通常含有若干种热稳性不同的官能团。其中,热稳定性最低的最先破坏并引发其它官能团的分解。利用红外光谱吸光度的差减可以对官能团的热稳定性进行排序。我们利用这种方法对用二氨基二苯砜(DDS)固化的二氨基二苯甲烷四缩水甘油醚(TGDDM环氧树脂)中官能团在300℃下的热稳定性进行了排序。