Exudation of UV-light absorbing natural products by seedlings ofNuphar lutea

Summary Seedlings ofNuphar lutea (L.) Sm. were raised from seeds and cultivated in a synthetic sterile nutrient solution under physiologically controlled and undisturbed conditions. The extracellular release of carbon compounds from the plants into the surrounding medium was examined by direct carbon estimation, by various specific chemical assays and by HPLC analysis. Direct carbon estimation was not sensitive enough to obtain reliable values; five of six specific chemical assays also failed. Only the Folin-Denis assay indicated there was a production of phenolic compounds, which followed a linear course that took up to six days of incubation. The phenolic compounds ranged between 0.2 and 1.3 µg/h g dry weight. Rp-HPLC with UV detection yielded a major fraction containing at least five highly polar compounds (not retainable on reversed phase), and a minor fraction of at least eight less polar (rp-retainable) compounds. Exudation followed a linear course for some days up to a distinct level of saturation in the surrounding medium. Cultures incubated in light or absolute darkness exhibit the same production rates; however, lower temperatures caused significant reduction in the production rate and on the pattern of exuded compounds as well. After withdrawing the exuded compounds by rinsing the cultures, a new production can be repeatedly induced many times until the potential of the system is seemingly exhausted. Nuphar seedlings procedures are introduced as a new macrophyte system suitable for studying the mechanism of extracellular secretion among aquatic macrophytes.     

车载雷达工作室三维空气流动与传热数值模拟

应用计算流体力学和计算传热学方法对某车载雷达工作室内的三维空气流动和传热进行了模拟与数值计算.建立了车载雷达工作室内三维空气流动与传热计算的物理模型和数学模型,应用κ-ε紊流方程模型、非结构化网格和有限容积法对某车载雷达工作室内的空气流场与温度场进行了三维数值仿真计算与分析,为该车载雷达工作室生存环境的改善与优化提供了...     

雷达电磁环境的联合建模与仿真

随着雷达灵敏度、精度的提高,对电磁环境的依赖性也越来越大。首先分析了美军的联合建模与仿真系统（JMASS）,指出建立一个综合的、可重用的雷达电磁仿真环境是电子战仿真的关键;重点研究了基于球不变随机过程（SIRP）的K分布杂波模型,以及地面／海面的多路径效应模型;最后建立了雷达电磁环境的模型并进行了仿真。     

加油站埋地罐区土壤中油气含量检测方法研究

以某加油站埋地罐区为例,针对探地雷达法验证实验的需要,建立了以手动钻孔取样,以有机溶剂二氯甲烷进行萃取,采用气相色谱法进行定量的土壤中油气含量分析方法,并对方法的线性、检出限、加标回收率等进行了研究。气相色谱分析结果表明用二氯甲烷替代四氯化碳作为土壤中油气含量测定的萃取剂,萃取结果良好;探地雷达法测得的1号罐和3号罐泄漏区域土壤中油气含量高达856.4mg/kg和772.3mg/kg,证明探底雷达法可以迅速检测到埋地罐区泄漏区域。     

基于风暴识别算法的森林火灾识别

采用风暴识别算法对森林火灾进行了识别。首先根据参数阈值调整后的风暴识别算法,得到二维分量,结合不同云回波与火灾回波的差异,对火灾回波进行识别。根据算法对浙江省温州市三次森林火灾过程进行识别,结果显示:对于三次火灾过程都能够有效识别。对于火灾发生初期和熄灭时,由于回波强度较弱,回波结构松散,与小范围弱回波混合,导致漏识别。当回波中存在小范围地物杂波时,由于其尺度与小面积火灾接近,最终导致误识别。在森林火灾发生时,该算法可以帮助识别发生火灾的位置,为消防人员提供及时可靠的火灾地点及起火时间。     

基于DEM的SAR图像洪水水体的提取

星载雷达遥感已广泛应用于洪水灾害的监测和评估中。但是由于其阴影与水体严重混淆 ,使得从雷达图像中提取洪水水体较为困难。为此 ,本文探讨了在地形数据的支持下 ,实现星载SAR图像洪水水体半自动提取的方法。主要包括以下几步 :首先 ,对雷达图像进行滤波处理 ,并将其与地形数据匹配 ,从雷达图像中提取出初步的洪水水体范围 ;其次 ,利用地形数据生成DEM ,并根据雷达图像的成像参数和DEM生成相应的模拟雷达图像 ;最后 ,利用模拟雷达图像上的阴影 ,剔除被误提为洪水水体的阴影 ,从而实现洪水水体的准确提取。研究表明 ,该方法能有效地、半自动地将星载雷达图像上的洪水水体提取出来 ;同时 ,该方法可以用于多种星载多模式的雷达图像的洪水水体的识别提取 ,尤其对含山区的大范围洪水水体的半自动提取 ,更为适用。     

长酸洗槽吹吸式酸雾捕集优化设计

吹吸式酸雾捕集经常用于蓄电池和较短的酸洗槽的酸雾捕集方面。在长酸洗槽(一般长度>10m)上运用吹吸式捕集酸雾。在此对目前常用酸洗槽设计方法进行了分析比较,并对一长酸洗槽(长14m)做了设计实例,经过实践检验,证明设计采用方法是恰当的,各设计参数是合理正确的。     

Marine Radar Oil-Spill Monitoring through Local Adaptive Thresholding

Marine oil spills affect the environment, economy, and quality of life for coastal inhabitants. This article presents a method of X-band marine radar oil-spill identification by considering the marine radar images of the 2010 Dalian 7-16 accident. The Prewitt operator was improved and a linear interpolation was proposed to suppress co-channel interferences. In addition, a model of a gray-intensity-correcting matrix is proposed to smooth a whole image, thus displaying the oil film more intuitively. Furthermore, a contrast-limited adaptive histogram equalization method was used to increase the contrast inside and outside the oil film. Moreover, the local adaptive thresholding method was improved to segment the oil spills. The results show that the proposed method is an improvement on similar previous approaches for this task when employing X-band marine radar images. The proposed method can provide technical and theoretical bases for emergency response, damage assessment, and liability identification of oil spills.     

Global monitoring of wetlands--the value of ENVISAT ASAR Global mode

This paper elaborates on recent advances in the use of ScanSAR technologies for wetland-related research. Applications of active satellite radar systems include the monitoring of inundation dynamics as well as time series analyses of surface soil wetness. For management purposes many wetlands, especially those in dry regions, need to be monitored for short and long-term changes. Another application of these technologies is monitoring the impact of climate change in permafrost transition zones where peatlands form one of the major land cover types. Therefore, examples from boreal and subtropical environments are presented using the analysed ENVISAT ASAR Global mode (GM, 1 km resolution) data acquired in 2005 and 2006. In the case of the ENVISAT ASAR instrument, data availability of the rather coarse Global Mode depends on request priorities of other competing modes, but acquisition frequency may still be on average fortnightly to monthly depending on latitude. Peatland types covering varying permafrost regimes of the West Siberian Lowlands can be distinguished from each other and other land cover by multi-temporal analyses. Up to 75% of oligotrophic bogs can be identified in the seasonal permafrost zone in both years. The high seasonal and inter-annual dynamics of the subtropic Okavango Delta can also be captured by GM time series. Response to increased precipitation in 2006 differs from flood propagation patterns. In addition, relative soil moisture maps may provide a valuable data source in order to account for external hydrological factors of such complex wetland ecosystems.     

Bottomfast Ice Mapping and the Measurement of Ice Thickness on Tundra Lakes Using C‐Band Synthetic Aperture Radar Remote Sensing1

Abstract: Industrial activity in Canada’s north is increasing, placing demands on the use of water from lakes to build ice roads. Winter water withdrawal from these lakes has the potential to impact overwintering fish. Removal of water from small lakes can decrease oxygen and habitat available to fish. To address this issue, a protocol has been developed by the Department of Fisheries and Oceans outlining water withdrawal thresholds. Bathymetric surveys are the traditional method to determine lake depth, but are costly given the remoteness of northern lakes. This paper investigates the use of satellite C‐band synthetic aperture radar (SAR) remote sensing technology as a potential alternative or complement to traditional survey methods. Previous research has shown that a SAR can detect the transition from grounded to floating ice on lakes, or if a lake is completely frozen. Grounded ice has a dark signature while floating ice appears very bright in contrast. Similar results were observed for the datasets acquired in the study area. This suggests that lakes that freeze completely to the bottom can be identified using SAR. Such water bodies would not be viable fish overwintering habitat and can therefore be used as water sources without thresholds necessary. However, attempts to accurately calculate the depth of the ice at the grounded‐floating ice boundary using bathymetric profiles acquired in the summer and lake ice thickness measurements from a reference lake near Inuvik proved to be unreliable.