井下光谱多参数分析系统开发

本系统基于气体浓度光学分析方法理论朗伯-比尔(Lambert-Beer)定律、光谱气体检测技术开发,实现了对煤矿火灾与瓦斯灾害超前预警、灾害产生的有毒有害气体实时监测和煤矿环境气体爆炸危险性辨识,对于煤矿灾害防治、救灾过程中杜绝次生灾害,保障煤矿工人及救护队员的生命安全,促进煤矿安全生产具有重要意义。     

The Use of Remote Sensing and GIS in the Sustainable Management of Tropical Coastal Ecosystems

The sustainable use and management of important tropical coastal ecosystems (mangrove forests, seagrass beds and coral reefs) cannot be done without understanding the direct and indirect impacts of man. The ecosystem's resilience and recovery capacity following such impacts must be determined. The efficacy of mitigation measures must also be considered. Remote sensing and geographic information systems (GIS) are excellent tools to use in such studies. This paper reviews the state of the art and application of these tools in tropical coastal zones, and illustrates their relevance in sustainable development. It highlights a selected number of remote sensing case-studies on land cover patterns, population structure and dynamics, and stand characteristics from South-East Asia, Africa and South-America, with a particular emphasis on mangroves. It further shows how remote sensing technology and other scientific tools can be integrated in long-term studies, both retrospective and predictive, in order to anticipate degradation and to take mitigating measures at an early stage. The paper also highlights the guidelines for sustainable management that can result from remote sensing and GIS studies, and identifies existent gaps and research priorities.There is a need for more comprehensive approaches that deal with new remote sensing technologies and analysis in a GIS-environment, and that integrate findings collected over longer periods with the aim of prediction. It is also imperative to collect and integrate data from different disciplines. These are essential in the spirit of sustainable development and management, particularly in developing countries, which are often more vulnerable to environmental degradation.     

Dynamic taxation schemes to manage irrigation-induced salinity

This paper uses a dynamic model to explore the issue of irrigation-induced salinity, which puts irrigation at risk in most irrigated areas throughout the world. We address the design of instruments that an irrigation district board could implement to induce irrigators to take sustainable irrigation decisions. In our approach, the irrigators located above an aquifer participate in the accumulation of groundwater, a stock pollution. We analyse input-based instruments to induce the agents to follow the optimal stock path.     

贵州赤水宝元-元厚地区油气遥感信息分析

本文通过对赤水宝元－元厚地区地质背景的分析，研究影响油气遥感无价值信息的主要因素，确定排除油气遥感无价值信息的基本原则，从而决定油气遥感有用信息，并作出地质解释，说明油气遥感直接勘探是一种快速、经济、有效的方法。     

低温高铁锰氨氮地下水两级生物净化快速启动

为了实现东北地区低温（5~6℃）高铁、锰、氨氮（TFe：9~15mg/L，Fe²⁺：6~12mg/L，NH₃-N：1.4~2.0mg/L，Mn²⁺：1.4~2.0mg/L）地下水的净化及解决同层净化中运行稳定性差、出水锰超标的问题，在水厂净化车间开展“两级曝气+两级过滤”工艺启动研究，采用差滤速和同滤速2种启动方式分别启动两级生物净化工艺.结果表明，2种启动方式分别在106，59d启动成功.同滤速启动可以有效的缩短两级生物净化的启动时间，铁、锰、氨氮去除负荷可达110.69，18.80，19.54g/（m²·h），沿程分析发现，铁在一级滤柱的60cm处即被去除至痕量；85.08%的氨氮在一级滤柱中去除，沿程各段去除均匀，14.92%的氨氮在二级滤柱中去除；锰的去除率和氧化活性去除区位受滤速及进水氨氮浓度影响较大，33.72%的锰在一级滤柱中去除，66.28%的锰在二级滤柱中去除，锰的去除仍然是滤池成熟的决定性因素.     

辽河三角洲土壤中石油类含量光谱分析初探

石油类物质对土壤的污染在油田区域内是一个普遍存在的问题。全面了解土壤中石油类物质含量是评价土壤石油污染的前提条件。对土壤石油污染评价的传统方法是在野外实地进行大量土壤采样,然后在试验室内分析石油类物质的含量。文中提出了利用少量野外土壤石油类物质样品,并结合野外光谱测量的方法对土壤中石油类物质进行分析的新方法。该方法应用于辽河三角洲,具有快速、省钱、省时、省力的特点,能对土壤中石油类物质含量进行宏观分析。满足了油田开发对土壤及环境污染评价的需要,并能为制定油田开发管理保护对策提供辅助信息。     

Effect of 450 MHz Microwave Modulated with 217 Hz on Human EEG in Rest

Summary This study focuses on discrimination of changes, produced by low-level microwave exposure in intensity and time variability of the human EEG at rest. The power spectral density (PSD) method and nonlinear scaling analysis of the length distribution of low variability periods (LDLVP) were selected for analysis of the EEG signal. During the study, 19 healthy volunteers were exposed to a microwave (450 MHz) of 217 Hz frequency on-off modulation. The field power density at the scalp was 0.16 mW/cm². The experimental protocol consisted of ten cycles of repetitive microwave exposure. Signals from frontal, temporal, parietal and occipital EEG channels on EEG theta, alpha and beta rhythms were analysed. Exposure to microwave causes average increase of EEG activity. LDLVP analysis discriminated significant effect in time variability for 2 subjects (11%). PSD method detected significant changes in intensity for 4 subjects (21%). The effect of low-level microwave exposure is stronger on EEG beta rhythm in temporal and parietal regions of the human brain.     

机械式模拟运输台仿真研究

模拟运输振动试验台作为一种机械式随机振动模拟器,能够较好地再现汽车运输振动环境。针对模拟运输台在调试、使用时具有一定盲目性的问题,进行了运动学仿真。仿真结果与实测数据吻合良好,验证了模型建立的正确性,调整模拟运输台上可变参数进行一系列的仿真,总结这些参数对于最终结果影响的规律。仿真结果表明,模拟运输台的台面振动由系统自激振动和凸轮带动台面强迫振动复合而成;台面上功率谱密度的第一主峰主要和系统的自激振动有关,第二主峰主要和凸轮带动台面的强迫振动有关。     

如何提高压差法测定BOD_5标样考核合格率

针对压差法测定生化需氧量的技术特点,通过总结日常分析、标样考核取得的经验,提出了想要提高压差法测定BOD标样考核合格率应注意的问题。     

Hyperspectral Characteristics of Canopy Components and Structure for Phenological Assessment of an Invasive Weed

Spectral reflectance values of four canopy components (stems, buds, opening flowers, and postflowers of yellow starthistle (Centaurea solstitialis)) were measured to describe their spectral characteristics. We then physically combined these canopy components to simulate the flowering stage indicated by accumulated flower ratios (AFR) 10%, 40%, 70%, and 90%, respectively. Spectral dissimilarity and spectral angles were calculated to quantitatively identify spectral differences among canopy components and characteristic patterns of these flowering stages. This study demonstrated the ability of hyperspectral data to characterize canopy components, and identify different flowering stages. Stems had a typical spectral profile of green vegetation, which produced a spectral dissimilarity with three reproduction organs (buds, opening flowers, and postflowers). Quantitative differences between simulated flower stages depended on spectral regions and phenological stages examined. Using full-range canopy spectra, the initial flowering stage could be separated from the early peak, peak, and late flowering stages by three spectral regions, i.e. the blue absorption (around 480 nm) and red absorption (around 650 nm) regions and NIR plateau from 730 nm to 950 nm. For airborne CASI data, only the red absorption region and NIR plateau could be used to identify the flowering stages in the field. This study also revealed that the peak flowering stage was more easily recognized than any of the other three stages.