Modeling the effects of green alternative on heat island mitigation of a meso level town,West Bengal,India

Urban heat island (UHI) is emerged as a ubiquitous phenomenon that affects the outdoor thermal comfort. Hence urban microclimatic studies using numeric simulation software to find out adaption strategies are attracting the great attention of researchers and policymaker. Number of scientists carried out their research on this topic using different tools and technique whereas ENVI-met model is the most widely used simulation tools. The present study intended to examine the implication of green infrastructure of the town on enhanced microclimatic condition and to evaluate the best suitable mitigation strategy modelling cool city with ENVI-met software (V4). Five greening condition such as existing UHI condition (C1), 100% greening of roof (C2), 100% greening of roof and walls (C3), 50% greening of roof and walls (C4) and: Plantation at suitable area with 50% greening of roof and walls (C5) have been taken into consideration for the microclimate simulation for all three selected sites. Among these five conditions, C3 for the open mid-rise and compact low-rise, C5 for the open low-rise are identified as one of the most suitable strategies which can reduce the air temperature of peak hours by 2.6 °C, 1.33 °C and 1.87 °C respectively. These models are validated by simple linear regression between simulated and existing air temperature in case of existing UHI condition (C1) and in all the cases coefficient of determination value is high such as for open mid-rise, compact low-rise and open low-rise, it is 0.92, 0.92 and 0.75 respectively. Therefore it can be concluded that the application of those strategies can improve the urban thermal environment as well as the outdoor thermal comfort of English bazaar Town and its surroundings.     

Substitution of satellite-based land surface temperature defective data using GSP method

Land surface temperature (LST) as an important environmental variable provides valuable information for earth environmental system modelling. Currently, LST is obtained through satellite thermal sensors at various spatial and temporal resolutions. Although spatially continuous satellite-based LST measurements are intended to overcome the shortcomings of sparse ground-based LST measurements, LST images often contain anomalous values due to the existence of clouds or sensor malfunctioning. The problem becomes more serious where the users deal with high spatial resolution characterized by low temporal resolution. This study examines the capability of a newly developed graph signal processing (GSP) method using two-dimensional single-date thermal data. For this purpose, four Landsat/TIRS datasets are analyzed. The data of five elliptical regions on thermal images are eliminated and then reconstructed through the GSP method and using the LST values of the enclosing rectangles containing the ellipsoids. The results indicate that the temperature variation determined by the GSP method generally conforms to the original image LST values. According to a correlation test conducted on the original image LST and those obtained through the GSP method, the values vary from 58% to 95%, which is an above-the-average rate (RMSE from 0.69 to 2.27). The statistical analysis of the original image LST in both the elliptical regions and the enclosing rectangles containing the ellipsoids indicates that an increase in the variance of LST data causes an increased error in the calculation of temperature by the GSP method, and vice versa. The results of the analysis of variance (ANOVA) and Duncan test indicated that an increase in the number of the non-zero spectral bins would result in increased RMSE values for all the dates and the regions. Moreover, the model errors were significant at the 0.05 level across all the image date and five elliptical study regions. Based on the results, the use of this method is recommended for the reconstruction of LST missing values, where dissimilarity of atmospheric conditions limits the use of other methods that depend on the time series data of various dates and a great deal of data calculation.     

NTC技术在微动同步器标度因数的温度补偿中的应用

了微动同步器结构原理，用数学方法找出了温度对其标度因数产生影响的主要原因，温度对激磁线圈的铜阻有影响，从而最终将影响输出电压的大小，针对这一主要原因，采用ＮＴＣ物理方法进行补偿，取得了很好的实际效果。     

一种新型的微机补偿晶体振荡器及开发系统

提出了一种新型的以微处理器为核心的AT切温度补偿晶体振荡器 (MCXO)的设计思想 ,说明了其开发系统的原理 ,给出了最后的实验结果。使用该开发系统得到的这种振荡器可以工作在 - 40℃～ 85℃的环境内 ,频率—温度稳定性≤± 5× 10 - 7。     

8mm辐射计特性参数测试及定标

文中简介了小口径天线毫米波辐射计定标系统的设计原理、结构、输出亮温的计算模型 ,研究了从液氮温度到室温范围内进行多点定标的方法 ,并对 8mm辐射计进行了特性参数测试及定标实验 ,得出了微波辐射计的定标方程和灵敏度、线性度、稳定度以及积分时间等指标。在该系统上按给定的程序进行定标 ,精度为 1 .0 6K。     

地空导弹维修性设计要求与指标分配

针对地空导弹的特点，论述了维修性设计的重要性，认为维修性是一种设计特性，必须对武器系统研制开始就要加以考虑，并贯穿于整个寿命周期中。提出了维修性设计要求，并讨论了维修性指标分配的问题。     

空间相机中与大口径透镜有关的结构设计分析

某空间相机镜头在光学设计时，因透过率、吸收率等原因，为了满足光学系统要求，经过各方面平衡后，其中有一片透镜比正常径厚比设计的偏薄些。在镜头总体结构设计时，单独对该镜片及与之相配的结构件进行了有限元分析和实验检测，发现不同的结构形式对镜片面形影响不同。为了解决这一问题，在实验中进行了探讨，以保证整个相机系统满足空间相机的实用要求。     

CPL技术在FY—1C卫星中的应用

为使FY 1C卫星上的镉镍电池可向空间散热 ,以降低工作温度 ,采用了毛细泵回路 (CPL)技术。介绍CPL的工作原理、主要组成以及在卫星上控制星载设备温度应用的设计技术 ,给出了在地面进行的各项热性能试验情况。卫星在轨运行测试验证表明 ,卫星温度处于最佳状态 ,镉镍电池组的温度控制在 (4～ 9)℃的范围内 ,6台镉镍电池之间温差小于 3℃ ,满足镉镍电池的特殊温度要求     

面天线检测数据处理方法的探讨

对面天线检测数据处理方法作了一些有益的探讨。从获取被测物的三维坐标后到获取真正有用的信息这一过程需要经过坐标转换和表面误差计算两个步骤 ,其中坐标转换是关键。在坐标转换方面 ,文中提出了曲面自由拟合、公共点转换和CAD面型转换三种方法 ,阐述了这些方法的数学模型 ,并且用实测数据进行了验证计算。理论分析和实际计算两方面显示 :CAD面型转换法既不需要天线的曲面方程 ,也不需要有已知的公共点 ,结果准确、可靠 ,是一种理想的方法 ;如果没有天线的CAD面型 ,但却存在公共点时 ,公共点转换法也是较理想的方法 ,其结果与给定的公共点误差有关 ;如果既没有天线的CAD面型又无公共点或公共点误差很大时 ,只能采用曲面自由拟合法 ,该法准确度最高 ,但容易使天线面型产生错位现象     

铝/ZN-1阻尼材料复合结构件的粘接技术研究

探讨了胶黏剂黏度、硬铝表面处理方式及硅烷偶联剂KH-560的使用方式等因素对硬铝板/ZN-1阻尼材料复合结构件的粘接性能的影响。研究表明：如果硬铝板表面采用砂纸打磨处理时，采用黏度较低的TC-1环氧树脂胶或者在黏度较高的J-22环氧树脂胶中添加2％的硅烷偶联剂KH-560可以获得优异的粘接效果；当硬铝板表面采用铬酸阳极化处理时，两种胶黏剂均能获得优异的粘接效果。