Remote sensing of the urban heat island and its changes in Xiamen City of SE China

World-wide urbanization has significantly modified the landscape, which has important climatic implications across all scales due to the simultaneous removal of natural land cover and introduction of urban materials. This resulted in a phenomenon known as an urban heat island(UHI). A study on the UHI in Xiamen of China was carried out using remote sensing technology. Satellite thermal infrared images were used to determine surface radiant temperatures. Thermal remote sensing data were obtained from band 6 of two Landsat TM/ETM^ images of 1989 and 2000 to observe the UHI changes over l l-year period. The thermal infrared bands were processed through several image enhancement technologies. This generated two 3-dimension-perspective images of Xiamen‘s urban heat island in 1989 and 2000, respectively, and revealed heat characteristics and spatial distribution features of the UHI. To find out the change of the UHI between 1989 and 2000, the two thermal images were first normalized and scaled to seven grades to reduce seasonal difference and then overlaid to produce a difference image by subtracting corresponding pixels. The difference image showed an evident development of the urban heat island in the 11 years. This change was due largely to the urban expansion with a consequent alteration in the ratio of sensible heat flux to latent heat flux. To quantitatively compare UHI, an index called Urban-Heat-Island Ratio Index(URI) was created. It can reveal the intensity of the UHI within the urban area. The calculation of the index was based on the ratio of UHI area to urban area. The greater the index, the more intense the UHI was. The calculation of the index for the Xiamen City indicated that the ratio of UHI area to urban area in 2000 was less than that in 1989. High temperatures in several areas in 1989 were reduced or just disappeared, such as those in old downtown area and Gulangyu lsland. For the potential mitigation of the UHI in Xiamen, a long-term heat island reduction strategy of planting shade trees and using light-colored, highly reflective roof and paving materials should be included in the plans of the city planers, environmental managers and other decision-makers to improve the overall urban environment in the future.     

利用Google Earth研究构造对喀斯特地貌的控制和对碳酸盐岩岩系风化成土的影响

通过互联网Google Earth欧洲卫星图像资料的观察,发现贵州喀斯特地区碳酸盐岩风化成土能力与地层岩性、构造和地貌等密切相关。二叠系生物礁石漠化显著,成土能力差;三叠系大冶组薄层灰岩成土能力高,很少有石漠化;地层倾角大的碳酸盐岩区,石漠化不显著;地层平缓的碳酸盐岩区,石漠化强或中等,碳酸盐岩风化成土能力中等。另外,大型节理带对碳酸盐岩风化成土具有明显的控制作用,节理带碳酸盐岩溶蚀相对强烈,常形成低洼地形,碳酸盐岩风化成土速率较高,红粘土堆积相对厚,不容易石漠化;而节理带间的区域往往地形较高,是石漠化易发育的区域。     

双壳类壳体时间序列的建立方法及存在的问题

利用双壳类壳体提取古气候古环境信息是生物碳酸盐研究的热点,而壳体定年一直是研究中的难点。相关研究主要观点是先找到一些时间控制点,再按照线性内插法来确定壳体的时间序列。本文综述了国内外目前双壳类壳体定年的常用方法,根据时间控制点的获得将这些方法归为以下几类:壳体日生长层法、壳体氧同位素法、数字图像技术法和微量元素法,介绍并讨论了每种方法的应用和存在的不足。研究者应该根据具体研究的生物和环境选择适合的方法。     

大学校园土壤中重金属污染研究

为研究大学校园土壤中重金属污染的状况,在西部某高校校园中选取10个采样点,分别采集了表层和下层土样,分析测定了土样中Cu,Zn,Pb,Cr四种重金属的含量。实验采用了微波消解、火焰原子吸收分光光度法对土样进行测定。结果表明待测校园土壤中重金属含量目前处于安全的范围,但大学,尤其是高等科研院校,应妥善处理科研试验过程中产生的污染物,为大学学生提供一个安全的大学校园环境。     

Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set Method

In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.     

基于数字图像相关方法的石墨高温杨氏模量测试

目的为了得到石墨在高温环境下的杨氏模量,为飞行器热防护系统和高温热结构的设计提供可靠的技术保障。方法基于数字图像相关(DIC)方法和通电电阻加热技术,建立一套测量材料在高温环境下力学性能的测试系统。利用该系统,测量高温下石墨试样的表面应变场和应力-应变曲线,计算相应温度下的杨氏模量。在1400℃实验环境下,采用基于DIC与高温引伸计的方法同时测量超高温陶瓷试件的拉伸应变数据,并进行比较验证。结果在1400℃实验环境下,采用基于DIC与高温引伸计方法测得超高温陶瓷的应变-时间曲线吻合良好,方差为1.3×10-7。1200~1900℃高温环境下,石墨的杨氏模量随温度的升高呈线性增长趋势。结论采用基于DIC方法准确有效,该方法可方便快速地实现对石墨材料在高温环境下杨氏模量的测量。另外,该方法也可应用于其他导电材料杨氏模量的测试。     

高校应急管理全过程能力评价指标体系构建研究

高校应急管理全过程能力是高校公共安全的重要保障,建立科学合理的高校应急管理全过程能力评价体系是所有高校安全管理的重要课题。本文借鉴了国内外有关高校突发事件应急管理能力的研究成果,基于全过程理念,将高校应急管理过程分为事前预防与准备、事中处置和事后恢复三个阶段,因此高校应急管理能力应包括预防与准备能力、处置能力和恢复能力,从而构建出高校应急管理全过程能力的综合评价指标体系,体系包括3个一级指标,10个二级指标和33个三级指标,以期为提升高校应急管理水平提供有益的参考和借鉴。     

结构应力逆向推演模型及其不确定度定量分析

目的 针对现有结构安全在线监测与评估方法存在的短板,结合人工智能方法探索新的解决方案。提出一种基于有限测点应力逆向推演整体结构应力分布的方法,以数据驱动的模式,基于神经网络技术搭建算法模型。方法 以结构有限元仿真数据为基础,运用相关性分析方法,获取代表结构响应特征的有限个测点,利用神经网络方法构建基于有限测点应力推演结构全场应力分布的算法模型。结果 以科学试验平台的连接器结构为对象,开展该算法模型的应用研究,并且对该应用实例下的算法模型开展不确定度分析,推演结果的相对不确定度u95rel为8.6%。结论 该算法模型的推演结果正确反映了结构总体响应特征。从建模过程角度分析,该算法模型的不确定度来源主要包括相关性分析方法、神经网络建模以及模型收敛条件3个方面。     

数字化控制系统信息显示特征对操纵员信息 捕获绩效的影响及优化研究

随着计算机技术和仪控技术的发展,数字化仪控系统逐步在大型控制室得到应用,主控室信息界面随之也出现了 “巨量信息与有限显示”的矛盾。通过分析数字化主控室信息显示的特点,基于认知心理学的相关理论,通过实验研究 信息显示率、信息提供率、数据更新率对操纵员信息捕获绩效的影响。实验结果表明:对操纵员信息捕获绩效影响最主 要的因素是信息显示率,其次是信息提供率,最后是数据更新率;信息显示率与信息提供率对被试信息捕获绩效的影响 具有较高的灵敏度,而数据更新率的变化对被试信息捕获绩效的影响并不显著;信息显示的最佳匹配组合是信息显示率 为56.4 bit,信息提供率为9.4 bit,数据更新率为3 s。研究成果可为数字化主控室信息显示的设计提供理论基础。     

Roles of digital technology in China's sustainable forestry development

China has the fifth largest forest area in the world and any change in China's forestry development will have inevitable impacts on global ecological sustainability. China has undergone excessive logging of natural forests and also made tremendous efforts in afforestation during the past half century. China's forestry is now going through a variety of transitions and several forestry programs have been implemented to drive forestry transitions. The goal of these actions is to protect ecological services of forests and sustain China's forestry development. These forestry programs are spatially sophisticated and cannot be successfully implemented without accurate and transparent forest/forestry information. A variety of digital technologies, including forest modeling, remote sensing, geographic information systems, global positioning systems, and visualization, have been applied in handling diverse information in China's forestry. Digital forestry is not just a theoretical concept in China. Our digital forestry experience in northeast China suggests that digital technology is both usable and useful in China's forestry development. Digital technology is playing an important interactive role in China's top-down forestry administration system. The analog-to-digital transition in technology is expected to lead to the success of forestry programs and forestry transitions in China.