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1.
地表水环境遥感监测关键技术与系统   总被引:1,自引:0,他引:1  
介绍了地表水环境遥感监测的关键技术与系统及其典型应用,其代表性机理模型和应用示范成果主要来自于中国科学院遥感与数字地球研究所的高光谱遥感团队在最近几年中取得的一些研究进展,主要包括建立了基于改进双峰法的水体分布自动化遥感提取方法,实现了简单、高效和高精度的水体提取;提出了大型湖泊长时序水量估算方法,并以青藏高原湖区为例,重建了典型湖泊面积、水位和水量序列;发展了基于“软分类”的典型内陆水体叶绿素a浓度反演方法,构建了基于生物光学模型的高度浑浊水体悬浮物浓度遥感反演半解析方法,提高了反演方法的区域和季节适用性;构建了基于水色指数的大范围湖库营养状态和透明度遥感监测方法,实现了全球大型湖库营养状态遥感监测,以及全国大型湖库透明度遥感监测;在此基础上,开发了地表水环境遥感监测系统,提高了水环境遥感监测效率,促进了卫星遥感在水环境监测中的高精度业务化应用。  相似文献   
2.
为研究NaHCO3对玉米淀粉爆炸的抑制效果,采用20 L球形爆炸装置测试玉米淀粉在添加不同抑制比NaHCO3及其固态分解产物Na2CO3后爆炸参数变化规律,并分析NaHCO3抑制淀粉爆炸过程。结果表明:NaHCO3及Na2CO3对玉米淀粉爆炸均有抑制作用,NaHCO3抑制效果优于Na2CO3;混合粉尘的最大爆炸压力、最大爆炸压力上升速率与爆炸指数随抑制比增大而逐渐减小,爆炸时间随抑制比增大而逐渐延长。随着NaHCO3浓度增加,物理抑制效果逐渐增加,化学抑制效果基本保持不变。NaHCO3浓度不同时,其抑制主导过程不同,当抑制比为0.1~0.5时,NaHCO3抑制效果以化学抑制为主,物理抑制为辅;抑制比为0.8和1.2时,NaHCO3抑制效果以物理抑制为主,化学抑制为辅;当抑制比为1.2时,玉米淀粉爆炸完全被NaHCO3抑制,此时物理抑制起主导作用。  相似文献   
3.
以型钢高强混凝土(SRHSC)梁为研究对象,结合SRHSC梁受力机理及承载能力的试验研究成果,提出了极限状态下的承载能力是评价梁力学性能的关键指标,将损伤前后梁正截面抗弯承载力之比和斜截面抗剪承载力之比的均值作为自变量,给出了SRHSC梁损伤表征函数,并借助"预定损伤法",揭示了主要设计参数对SRHSC梁损伤演化的影响规律。研究成果将为建立地震激励下SRHSC框架结构楼层损伤模型提供理论和数据支持。  相似文献   
4.
阐述了地级市空气自动监测多参数站(超级站)建设的必要性,提出了统筹考虑、分期实施与突出重点、兼顾一般的建设思路,介绍了站房选址原则。指出超级站建设应以常规监测、霾监测、光化学烟雾监测、空间立体监测和源解析监测为目标,实施质量控制和质量保证手段,设置数据采集和显示平台,满足对大气复合污染的监测需求。  相似文献   
5.
Simulation of helio-photovoltaic system is continuously undergoing revolution through diverse parameter modifications which closely mimic the experimental data. In retrospect, the current work has presented a nonlinear modification of equivalent circuit parameters and simulated the same for different semiconductors (crystalline and thin films); furthermore, established a mathematical relation between the coefficients of solar irradiance and module temperature (SIMT); moreover, investigated the influence of SIMT on the model parameters. The simulation upshot reveals that increment in solar irradiance (SI) intensifies the output current whereas an increase in module temperature (MT) diminishes the output voltage; the SIMT coefficients developed validated well with the manufacturers data; the influence of SI was evident on the photon current, diode current, and shunt resistance whereas the effect of MT was pronounced on the diode current, ideality factor, and shunt resistance. Thus, the provision made by this work is essential for advanced design and simulation of helio-photovoltaic systems.  相似文献   
6.
为探明自然崩落法从拉底崩落至出矿全过程中底部结构节理连续扩展过程与破坏过程规律,采用PFC2D软件,结合RocLab软件反演节理岩体参数,建立229 m×129 m的岩体扩大模型,对拉底崩落至出矿过程进行连续综合计算。研究结果表明:模拟结果及破坏现象与现场监测结果相近,建模与细观参数反演方法适用于该类岩体工程研究;裂纹扩展贯通导致岩体失稳破坏,破坏过程与裂纹扩展具有相对应的阶段特征,裂纹扩展分为崩落前稳定扩展期,崩落与聚矿槽开挖过程加速扩展期和后续持续扩展期;结构破坏分为蕴育过程,扰动失稳过程和宏观破坏过程;较大范围的宏观破坏主要在出矿阶段。该模拟方法与结果可为底部结构维护以及节理岩体长期稳定性研究提供参考。  相似文献   
7.
Introduction: Reducing the severity of crashes is a top priority for safety researchers due to its impact on saving human lives. Because of safety concerns posed by large trucks and the high rate of fatal large truck-involved crashes, an exploration into large truck-involved crashes could help determine factors that are influential in crash severity. The current study focuses on large truck-involved crashes to predict influencing factors on crash injury severity. Method: Two techniques have been utilized: Random Parameter Binary Logit (RPBL) and Support Vector Machine (SVM). Models have been developed to estimate: (1) multivehicle (MV) truck-involved crashes, in which large truck drivers are at fault, (2) MV track-involved crashes, in which large truck drivers are not at fault and (3) and single-vehicle (SV) large truck crashes. Results: Fatigue and deviation to the left were found as the most important contributing factors that lead to fatal crashes when the large truck-driver is at fault. Outcomes show that there are differences among significant factors between RPBL and SVM. For instance, unsafe lane-changing was significant in all three categories in RPBL, but only SV large truck crashes in SVM. Conclusions: The outcomes showed the importance of the complementary approaches to incorporate both parametric RPBL and non-parametric SVM to identify the main contributing factors affecting the severity of large truck-involved crashes. Also, the results highlighted the importance of categorization based on the at-fault party. Practical Applications: Unrealistic schedules and expectations of trucking companies can cause excessive stress for the large truck drivers, which could leads to further neglect of their fatigue. Enacting and enforcing comprehensive regulations regarding large truck drivers’ working schedules and direct and constant surveillance by authorities would significantly decrease large truck-involved crashes.  相似文献   
8.
为将空气幕作为城际铁路地下车站控烟措施提供理论依据,进而为地下车站防灾控烟设计提供新思路,以某典型城际铁路地下车站岛式站台层为依托,采用火灾动力学三维模拟软件FDS建立全尺寸火灾模型,对比单吹式、吹吸式空气幕布置于站台与轨行区间时楼梯及站台处温度及可见度分布规律,并分别对单吹式、吹吸式空气幕的射流风速、射流角度进行了参数优化研究。结果表明:单吹式、吹吸式空气幕均可保证火灾下楼梯区域可见度和温度的安全性要求;单吹式在射流风速为12 m/s且射流角度为10°时,吹吸式在射流风速为8 m/s时,防烟效果良好且趋于稳定;采用单吹式的最小站台危险区域较吹吸式长15 m,建议在城际铁路地下车站中选用吹吸式空气幕。  相似文献   
9.
Research on the micro- and macrocharacteristics of different metamorphic degrees of coal helps improve the control and protection techniques used during spontaneous combustion. Nine coals with different properties were thoroughly investigated in this study. Fourier transform infrared spectroscopy and a self-designed temperature-programmed oil bath experimental system were adopted to analyze the molecular structure and macrocharacteristic parameters of the spontaneous combustion of coal. Additionally, the influence of particle size on spontaneous combustion was considered. Various functional groups were employed as microcharacteristic parameters to capture the principal active groups in oxidation. The gas production rate, oxygen consumption rate, gas concentration, heat energy release rate, and characteristic temperatures were evaluated as macrocharacteristic parameters to investigate the changes in coal during oxidation. The results establish that the microcharacteristics of coal molecules determine the degree of spontaneous combustion based on intrinsic properties and that changes in the macrocharacteristics of the spontaneous combustion of coal reflect the microstructural changes. The contents of the hydroxyl groups, carbonyl groups, alkyl ether and aryl ether in the coal molecules gradually decrease with the metamorphic increase. Oxygen-containing functional groups have higher reactivities and easily react with oxygen, causing the macroparameters, such as the oxygen consumption rate, the gas generation rate and the heat energy release rate, to consistently decrease with the increase of the metamorphic degree. Small-particle-size coal molecules have more active aliphatic hydrocarbons, oxygen-containing functional groups and a larger specific surface area, increasing the chances of adsorbing the oxygen of active groups and promoting the reaction between coal and oxygen. The experimental results indicate that coal samples with higher metamorphic degrees or larger sizes exhibit lower tendencies toward spontaneous combustion. Evaluation of the spontaneous combustion of coal based on a temperature-programmed oil bath experimental system is of great practical importance for preventing the spontaneous combustion of coal during storage, processing and utilization and can serve as a convenient reference for production safety in mining applications.  相似文献   
10.
为解决传统经验公式在预测气体泄爆中最大超压出现时的较大偏差或过于保守的问题,提出使用人工神经网络预测气体泄爆最大超压。基于124组实验数据,采用BP与RBF神经网络,通过优化算法计算与迭代循环对泄爆样本中的影响因素进行降维与选择,并确定2类神经网络本身在学习与计算气体泄爆样本时的相关参数。结果表明:PCA(主成分分析法)在当前样本条件下的降维效果较差,而通过迭代对比确认气体泄爆样本中的5类特征全部保留时神经网络的训练模拟效果最好;通过对124组实验数据进行随机挑选训练集与测试集的训练模拟结果发现,神经网络对气体泄爆中最大超压的预测效果较好;通过对比Molkov提出的和经Fakandu等改进的NFPA 68经验公式以及2类神经网络的预测结果表明,神经网络相比于传统气体泄爆经验公式具有明显优势。  相似文献   
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