肾综合征出血热疫情与NDVI的时间关系——以内蒙古自治区大杨树镇为例

利用月度肾综合征出血热发病人数和长时序月度NDVI值的相互关系, 对肾综合征出血热的发病趋势及发病人数进行预测。研究区大杨树镇2001—2005年共有144例完整的HFRS病人资料, 以及同期详细的宿主动物捕获数据。基于Landsat TM影像以及Google earth 影像, 大杨树地区土地利用分为4种类型, 山地、林地、农田以及居民点。各类土地利用类型的NDVI数据由SPOT-4 卫星的 VGT-S10数据集(10d最大化合成的NDVI数据)提供。对HFRS病例与NDVI之间的关系进行图解分析、相关分析和回归分析。研究表明, NDVI的峰值多出现于8月, 而HFRS发病人数的峰值多出现在11月。前朔3个月的农田NDVI值与HFRS病例数之间的相关系数为0.67(P值<0.001)。农田NDVI峰值比HFRS病例的峰值提前了3个月。研究量化了NDVI与HFRS之间的关系, 为HFRS早期预警系统的建立提供了依据。     

基于噪声随机模型的加权观测融合方法

信息融合技术中,在各局部传感器的有色观测噪声为一阶AR模型的情况下,可以利用观测扩增方法消除有色噪声的影响,得到最优加权观测融合方程,从而实现状态的最优滤波解。对于有色观测噪声为MA或ARMA模型的情况,观测扩增方法不再适用。提出了基于有色观测噪声随机模型级数展开的方法,求解出各局部传感器有色观测噪声的方差,并利用该方差对加权观测融合滤波器进行了构造。通过计算实例证明,该方法不仅适用于观测噪声为AR模型,同时适用于噪声MA或ARMA模型。     

河道洪水演进数值模拟及其在GIS平台上的可视化

针对公共安全应急平台中灾害预测预警和应急处置的快速反应需求,建立了基于圣维南方程的河道洪水演进的水动力学模型。采用库朗格式的特征线方法对基本方程进行数值求解,得出水位和流量沿河道的时空变化关系,在此基础上进一步研究了基于GIS的洪水演进可视化方法。最后,通过天然河道模拟实例验证了所建模型的可靠性和实用性。     

利用Landsat TM6数据反演大亚湾海水表层温度

基于Landsat TM6数据,采用覃志豪单窗算法(MW)、Jiménez-Mu(n)oz单通道算法(SC)和Weng算法计算了大亚湾海域的海表温度(Sea Surface Temperature,SST),分析比较了3种算法反演的海温空间分布特征,并选取12个样本点与实测数据进行了比较.结果表明:3种算法反演的海温分布特征基本一致,在3幅海温图像上可以清晰地观察到大亚湾核电站的热废水扩散特征;反演温度与实测温度的差值平均值分别为-2.21℃、0.19℃和-4.68℃,以SC算法误差最小.     

基于球面投影的单站地面激光扫描点云构网方法

为正确判断点与点之间的邻接关系,结合单站地面激光扫描点云数据的特性,提出了利用球面投影对其构建三角网的方法;讨论了球面Delaunay构网方法的若干细节;采用球面有向搜索和球面LOP局部优化算法,提高了构网时间效率;实验表明本方法能快速、有效的对单站激光扫描点云构网。相似文献   

基于直线感知增强的边缘提取算法

根据视觉识别边缘的感知特性,提出了一种基于直线感知增强的弱边缘的边缘提取算法。借鉴视觉的直线感知方式,针对弱边缘整体上呈直线分布的特点将其筛选出来,进行编组、连接和扩展。与Edison边缘提取算子的比较实验证明,本算法在对弱边缘的提取和虚假边缘的抑制上有显著增强。     

雷州半岛灯楼角珊瑚礁海区夏季的浮游动物

2004年8月在雷州半岛灯楼角珊瑚礁海区分别使用浅水Ⅰ型和浅水Ⅱ型浮游生物网进行了浮游动物调查,共鉴定浮游动物72种和浮游幼虫19个类群(或类型),其中桡足类的种数最多达45种。结果表明,浮游动物种数分布由近岸往远岸递增,约3/4的种类属于终身浮游生物,1/4属于阶段性浮游生物。中小型的浮游动物种类多,数量大。两种网具采集的浮游动物总种数、总密度、多样性指数、均匀度和中小型优势种的密度差异相当显著,而大型优势种的密度差异不明显。用浅水Ⅱ型网采集的浮游动物总密度平均值为5270ind/m3,是浅水Ⅰ型网的110倍。桡足类占浮游动物总密度的72.45%,其次幼虫占23.41%。浮游动物密度呈斑块状分布,最高达16257ind/m3,底质为珊瑚礁的测站的浮游动物数量一般较多。优势种主要是中小型种类和底栖动物的幼虫,如强额孔雀哲水蚤、蔓足类无节幼虫、细长腹剑水蚤、驼背隆哲水蚤、无节幼虫、双壳类面盘幼虫、桡足幼体、简长腹剑水蚤等。     

Size-fractionated uranium isotopes in surface waters in the Jiulong Estuary in China

Surface water was collected from the Jiulong Estuary for determination of activity concentrations of uranium isotopes in different size fractions, namely, greater than 53, 10 -53, 2 - 10, 0.4 -2 μm, 10 000 u -0.4 μm and less than 10 000 u fractions by microfihration and cross-flow uhrafiltration technologies. Results indicated that most of the dissolved uranium （ 〈 0.4 μm） exis- ted in the low molecular mass fraction （ 〈 10 000 u）, and the colloidal uranium-238 （10 000 u -0.4 μm） only contributed less than 1% of the dissolved uranium-238. The fractions of colloidal uranium in the dissolved phases decreased with the increasing sa- linity. A positive linear relationship between uranium-238 activities and salinities was observed for the dissolved, colloidal and low molecular mass fractions, indicating a conservative behavior of uranium in the Jiulong Estuary. In the particulate phases （ 〉 0.4 μm）, the partitioning of uranium isotopes among different size fractions was controlled by the partitioning of particle concentrations. In the regions with salinities below 20, the partitioning of uranium-238 among different size fractions was as follows： 10 - 53 μm 〉 2 - 10 μm 〉 0.4 - 2 μm greater than above 53 μm. However, the order at the offshore station with salinities above 30 changed as follows ： 0.4 - 2 μm 〉 10 - 53 μm 〉 2 - 10 μm greater than above 53 μm. The fraction of the 0.4 - 2 μm particles increased at the offshore station, suggesting the increased contribution of the authigenic uranium. The activity ratio of uranium-234 to uranium-238 in the dissolved phases, including the low molecular mass fraction and the colloidal fraction, was larger than unity, showing the occurrence of excess uranium-234. In contrast, the activity ratio of uranium-234 to uranium-238 in all size fractions of the particulate phase was close to the equilibrium value （1.0）. The observed different values of the activity ratio of uranium-234 to uranium-238 in the dissolved phase and the partic     

Water, organic matter, nitrogen and phosphorus contents in sediment of a large-scale mariculture area in the Zhelin Bay of eastern Guangdong Province, China

The Zhelin Bay is one of the most important bays for large-scale mariculture in Guangdong Province, China. Owing to the increasing human population and the expanding mariculture in the last two decades, the ecological environment has greatly changed with frequent harmful algal blooms. A monthly survey of water content, organic matter （TOM）, and various forms of nitrogen and phosphorous in sediment from July 2002 to July 2003 in the bay was conducted. The results showed that the water content was correlated significantly with TOM and various forms of nitrogen and phosphorus and can be used as proxy for quick and rough estimate of these factors in the future surveys. TOM was also correlated significantly with various forms of nitrogen and phosphorus, indicating that it was one of the key factors affecting the concentrations and distributions of nitrogen and phosphorus in the investigated waters. Average total Kjeldhal nitrogen （TkN） content was（ 1 113.1 ± 382.5）μg/g and average total phosphorus （TP） content was（567.2± 223.3）μg/g, and both were much higher than those of similar estuaries in China and elsewhere. Average nitrogen and phosphorus tended to be higher inside than outside the bay, higher at aquaculture than non-aquaculture areas, and higher at fish-cage culture than oyster culture areas, suggesting that large-scale mariculture inside the bay played an important role in the eutrophication of the Zhelin Bay. Various forms of nitrogen and phosphorus concentrations were higher during the warm season （July--September）, which was due to the increased decomposition and concentration of organic matter resulted from the fast growth and high mortality of the cultured species. Compared with July 2002, TkN and TP contents were much higher in July 2003, in consonance with the eutrophication of the Zhelin Bay. Because exchangeable phosphorus （Ex-P）, iron-bounded phos- phorus （Fe-P） and organic phosphorus （OP） combined accounted for 34.3% of the TP and authigenic phosphorus （Au-P     

The effect of the wave-induced mixing on the upper ocean temperature in a climate model

The significant underestimation of sea surface temperature （SST） and the temperature in the upper ocean is one of common problems in present climate models. The influence of the wave-induced mixing on SST and the temperature in the upper ocean was examined based on a global climate model. The results from the model coupled with wave-induced mixing showed a significant improvement in the simulation of SST and the temperature in the upper ocean compared with those of the original model without wave effects. Although there has still a cold bias, the new simulation is much closer to the climatology, especially in the northern ocean and tropical ocean. This study indicates that some important physical processes in the accurate simulation of the ocean may be ignored in present climate models, and the wave-induced mixing is one of those factors. Thus, the wave-induced mixing （ or the effect of surface waves） should be incorporated properly into climate models in order to simulate or forecast the ocean, then climate system, more accurately.