卫星光学反射膜光谱反射率空间综合环境退化研究

对玻璃基底和金属基底的铝反射膜在紫外、低能电子、低能质子的综合环境作用下的光谱反射率退化进行了实验研究。试验结果表明两种铝反射膜的光谱反射率均发生了退化,且光谱反射率的退化主要集中在可见光波段,在近红外波段退化很小;玻璃基底铝反射膜退化在420 nm左右出现峰值点,2种金属基底铝反射膜的退化的峰值点在450 nm左右。由于电荷沉积在玻璃中后会抑制带电粒子入射,因此玻璃基底铝反射膜的退化要小于金属基底铝反射膜。     

基于实测光谱与MODIS数据的太湖悬浮物定量估测

以太湖为研究区域,对太湖水体的水面反射光谱进行实地测试,并取样在实验室进行水质分析;根据光谱分析得到的悬浮物特征波段,估测悬浮物浓度;最后,对比MODIS波段,用最敏感波段及主成分分析法建立悬浮物估测模型.结果表明,576nm附近的反射率峰值、841nm处反射率一阶微分值和808nm附近的反射峰高与悬浮物浓度都有较好的相关性,其中峰高法和一阶微分法对悬浮物浓度的估测精度相当;MODIS波段1与悬浮物浓度相关性最好,经过主成分变化后的第一主成分和第二主成分可以较好地估测悬浮物浓度.因此,可利用MODIS数据对太湖悬浮物进行长期动态监测.     

面向作物病害识别的高光谱波谱库设计与开发

自20世纪70年代以来,国内外波谱数据库发展迅速,但都存在着针对性不强的缺陷,不能满足我国现阶段遥感应用的需要。该文通过以小麦条锈病为案例的高光谱波谱库的设计与开发,实现了波谱查询、影像管理、用户管理、数据管理、反演模型等功能,可供其它面向病害识别的高光谱波谱库的建立参考。     

基于损伤等效的振动疲劳试验载荷转换

目的使用简谐激励替代随机平直谱激励进行振动疲劳试验。方法利用有限元仿真计算某典型铝合金试验件在简谐激励和随机平直谱激励下的疲劳寿命,分析2种工况下试验件寿命相等时激励的等效关系。进行一组定频激励试验和一组谱激励试验,对比试验结果,验证在某典型铝合金试验件上利用简谐激励替代随机平直谱激励进行振动疲劳试验的可行性。结果通过试验与仿真技术,对2024-T4铝合金试验件在一定频率非共振简谐激励和随机平直谱激励作用下的振动疲劳寿命规律进行研究,得出了不同激励作用下试验件寿命相同时载荷的等效关系。结论基于损伤等效,工程中可以使用简谐激励代替随机平直谱激励进行振动疲劳试验,从而解决了一类振动疲劳试验加载困难的问题,实现振动疲劳的试验加速。     

不同地域的阳光光谱分布特性

目的研究阳光的光谱能量分布特性。方法对高原、西北沙漠、热带海洋等3个地域200~800 nm波段的阳光进行光谱测量,分析不同地区、不同天气状况、不同扫描速度下的阳光光谱能量分布特性。结果高原地区阳光光谱中的紫外-可见波段的辐照强度明显比西北沙漠和热带海洋地区高,多云时200~800 nm波段的辐射总量与晴天相比降低1/4,200~400 nm的紫外波段的辐射总量仅为晴天时的54%。光谱测量仪的扫描速度对光谱测定结果基本无影响。结论研究获得的阳光紫外截止点、340 nm处的辐照强度、不同波段的辐照量,可为实验室光源暴露试验中的光源选择、光谱能量控制提供参考。     

Global Warming and Global Dioxide Emission: An Empirical Study

In this paper, the dynamic relationship between global surface temperature (global warming) and global carbon dioxide emission (CO₂) is modelled and analyzed by causality and spectral analysis in the time domain and frequency domain, respectively. Historical data of global CO₂emission and global surface temperature anomalies over 129 years from 1860–1988 are used in this study. The causal relationship between the two phenomena is first examined using the Sim and Granger causality test in the time domain after the data series are filtered by ARIMA models. The Granger causal relationship is further scrutinized and confirmed by cross-spectral and multichannel spectral analysis in the frequency domain. The evidence found from both analyses proves that there is a positive causal relationship between the two variables. The time domain analysis suggests that Granger causality exists between global surface temperature and global CO₂emission. Further, CO₂emission causes the change in temperature. The conclusions are further confirmed by the frequency domain analysis, which indicates that the increase in CO₂emission causes climate warming because a high coherence exists between the two variables. Furthermore, it is proved that climate changes happen after an increase in CO₂emission, which confirms that the increase in CO₂emission does cause global warming.     

Effects of Light Zenith Angle Variation on Spectral Responses of a Water Body’s Environmental Quality

The effect of light source zenith angle (θ_z) variation on the spectral reflectance measurement from sediment-laden water was studied in the laboratory using a spectroradiometer. Light source zenith angle in addition to sediment characteristics and concentration play a dominant role in affecting the reflectance characteristics of a suspension. With an increase in θ_z values, an increase in spectral reflectance is observed. The spectral reflectance characteristics of a water body also increase with the sediment concentration for all soil types and at all wavelengths. Empirical relationships between the spectral reflectance, suspended sediment concentration, and the light source zenith angle have been developed. Such a remote sensing technique for monitoring the concentration of the suspended sediment and their characteristics is a useful tool for economical estimation of a large water body’s quality related parameters vis-a-vis its environmental quality.Retd. Professor of Environmental Engineering & Pollution Control, Presently Residing at Makkhan Kutir, Bhargava Lane, Devpura, Haridwar-249401, India.Former Ph.D. student.     

基于水体固有光学特性的太湖浮游植物色素的定量反演

基于2005-05～2005-08对太湖全湖不同湖区92个样点吸收系数、光束衰减系数、后向散射系数等固有光学特性测定与计算,选择色素浓度反演的最佳波段组合,利用反射率比建立了太湖叶绿素a,叶绿素a与脱镁叶绿素的定量反演模型.结果表明,全湖4次采样叶绿素a、脱镁叶绿素的变化范围分别为3.9～149.8μg·L^-1、均值为(38.14±28.89)μg·L^-1;0～45.8μg·L^-1、均值为(8.49±7.24)μg·L^-1,存在很大空间差异,湖心区和草型湖区的东太湖、胥口湾、贡湖湾色素浓度一般要低于其他湖区.同样吸收系数和后向散射系数也存在很大的空间差异,a_t(440)的变化范围为0.86～23.25 m^-1、均值为(6.21±3.31)m^-1,b_t(550)的变化范围0.05～2.25m^-1、均值为(0.72±0.52)m^-1,东太湖、胥口湾、贡湖湾的值要低于其他湖区.400～650nm随波长增加总吸收系数大致呈下降趋势,680nm附近存在1个峰值,峰值的强弱与水体中色素浓度有关,而到720nm以后则逐渐增加,后向散射系数随波长增加则逐渐降低.反射率比R(706)/R(682)能较好地用于太湖色素浓度的反演,叶绿素a、叶绿素a与脱镁叶绿素之和幂函数反演的决定系数R²分别达0.823、0.864 5.模型能用于包括湖面反射率受湖底和沉水植物影响的全太湖.     

Deriving heart rate variability indices from cardiac monitoring—An indicator of driver sleepiness

Objective: Driver fatigue is considered to be a major contributor to road traffic crashes. Cardiac monitoring and heart rate variability (HRV) analysis is a candidate method for early and accurate detection of driver sleepiness. This study has 2 objectives: to evaluate the (1) suitability of different preprocessing strategies for detecting and removing outlier heartbeats and spectral transformation of HRV signals and their impact of driver sleepiness assessment and (2) relation between common HRV indices and subjective sleepiness reported by a large number of drivers in real driving situations, for the first time.

Methods: The study analyzed >3,500 5-min driving epochs from 76 drivers on a public motorway in Sweden. The electrocardiograph (ECG) data were recorded in 3 studies designed to evaluate the physiological differences between awake and sleepy drivers. The drivers reported their perceived level of sleepiness according to the Karolinska Sleepiness Scale (KSS) every 5?min. Two standard methods were used for identifying outlier heartbeats: (1) percentage change (PC), where outliers were defined as interbeat intervals deviating >30% from the mean of the four previous intervals and (2) standard deviation (SD), where outliers were defined as interbeat interval deviating >4 SD from the mean interval duration in the current epoch. Three standard methods were used for spectral transformation, which is needed for deriving HRV indices in the frequency domain: (1) Fourier transform; (2) autoregressive model; and (3) Lomb-Scargle periodogram. Different preprocessing strategies were compared regarding their impact on derivation of common HRV indices and their relation to KSS data distribution, using box plots and statistical tests such as analysis of variance (ANOVA) and Student’s t test.

Results: The ability of HRV indices to discriminate between alert and sleepy drivers does not differ significantly depending on which outlier detection and spectral transformation methods are used. As expected, with increasing sleepiness, the heart rate decreased, whereas heart rate variability overall increased. Furthermore, HRV parameters representing the parasympathetic branch of the autonomous nervous system increased. An unexpected finding was that parameters representing the sympathetic branch of the autonomous nervous system also increased with increasing KSS level. We hypothesize that this increment was due to stress induced by trying to avoid an incident, because the drivers were in real driving situations.

Conclusions: The association of HRV indices to KSS did not depend on the preprocessing strategy. No preprocessing method showed superiority for HRV association to driver sleepiness. This was also true for combinations of methods for frequency domain HRV indices. The results prove clear relationships between HRV indices and perceived sleepiness. Thus, HRV analysis shows promise for driver sleepiness detection.