ZQZ TF型风传感器冻结故障自动检测装置设计

近年来我国大部分地区在冬、春两季多遭受冻雨灾害,自动气象站的风向风速传感器容易因冻结而无法正常工作。针对冻结故障的实时检测问题,本文设计了一种基于ZQZ-TF型风传感器的故障自动检测装置。该装置通过检测风传感器的工作电压和工作电流,实现对传感器实时状态的监控。同时,结合具体的故障诊断算法,能够快速判断风传感器是否被冻结。系统的核心硬件电路、软件算法可分别集成在自动气象站风向风速数据采集电路和嵌入式软件中,具有结构紧凑、操作简单的特点。经验证,该装置能够实时检测风传感器冻结故障,且工作稳定,检测精度高。     

贵州西北部基性侵入岩锆石U-Pb年代学、岩石地球化学特征 及其与铅锌成矿关系初探

贵州西北部发育多处基性侵入岩,总体规模较小(约0.25 Km2),多沿深大断裂侵位,出露于铅锌矿点外围,本文对猫猫厂、凉山两处矿点附近的儿马冲和白岩庆两地小型基性侵入岩进行了重点研究。侵入岩主要岩性为细粒辉长岩,造岩矿物主要为拉长石、普通辉石。SiO2范围为49.60-51.09 wt%,MgO从3.88-4.27 wt %,TiO2为3.69-3.85 wt %。LA-ICP-MS锆石U-Pb定年结果为268.3±7.4 Ma,显示岩浆侵位于二叠纪。基性侵入岩的微量元素蛛网图呈OIB型特征,富集大离子亲石元素（LILE）、轻稀土元素（LREE）,亏损重稀土元素（HFEE）,相对亏损高场强元素（Nb,Ta）,有Sr、Y亏损,Pb富集。(87Sr/86Sr)i范围0.706749～0.707069,(143Nd/144Nd)i范围0.512313～0.512363,εNd(t)范围0.2～1.2;源区熔融深度处于石榴石橄榄岩相深度,可能经历了1-3 %的部分熔融,处于亏损石榴石二辉橄榄岩相向原始石榴石二辉橄榄岩相的过渡区。成岩过程中发生了单斜辉石、斜长石等矿物分离结晶,受到了有限的地壳混染作用,未经历明显的AFC过程。地壳物质在地幔源区中的加入可能是造成地幔富集的主要原因。侵入岩与成矿作用之间的关系,主要通过两方面所表现。一方面是二者间构造活动上的耦合性。另一方面是基性岩在成矿过程中可能发挥了重要的化学屏障层作用。     

一种基于重要性评估的河网分级方法

提出了一种改进的河网分级方法,该方法首先对河段的重要性程度进行评估,并利用树结构实现河网的拓扑关系;之后基于河段重要性指数筛选河网主干,并利用主干抽离算法对河网进行逐层遍历;最后基于遍历结果完成河网地层次划分。试验表明,新方法在算法性能和分级结果上均优于传统方法,因此,新方法能够更好地应用于实际的河网分级工作中。     

SAR影像与光学影像的高斯伽玛型边缘强度特征匹配法

提出了一种基于影像边缘强度图描述的SAR影像与光学影像匹配方法。首先对影像进行粗纠正,消除影像之间的尺度和旋转变化;其次,改进相位一致性特征检测方法,提取对影像相干斑噪声稳健的特征点;然后基于高斯伽玛型双边窗口比值算子计算影像边缘强度图,在此基础上构造不变特征描述符;最后联合几何约束条件,实现SAR影像与光学影像匹配。试验结果证明,与现有方法相比,本文方法能够大幅提高SAR影像与光学影像匹配结果中的正确匹配特征数量以及影像配准精度。     

多光谱遥感影像亮度空间相位一致性特征点检测

提出了一种基于亮度空间和相位一致性理论的多光谱遥感影像特征点检测算法。首先利用参数自适应的灰度变换函数建立影像亮度空间;然后结合相位一致性方法在影像亮度空间进行候选特征点检测,并将候选特征点映射到原始影像上进行非极大值抑制;最后在尺度空间计算特征点的特征尺度值。本文方法有效结合了亮度空间特征检测和相位一致性特征检测的优势,对多光谱遥感影像的辐射变化具有较强的稳健性。试验结果证明,与传统特征点检测算法相比,本文方法在特征重复率和重复特征数量方面都具有明显的优势。     

基于热储法的鲁西平原地热资源评价

鲁西平原地处山东省的西南部,热储层主要有新近系馆陶组、明化镇组,古近系东营组和奥陶系。通过野外勘察和室内分析结果,选取合理的计算参数,利用热储法等对鲁西平原地热资源进行了评价。结果表明鲁西平原地区地热资源量达1.735 5×1021J,折合标准煤5.923 3×1010t;可利用地热资源量达3.252×1020J,折合标准煤1.110×1010t;热储层百年地热水储存量为4.229×1011 m3,地热水允许开发量为4.229×1011 m3。     

An optimized sequential extraction scheme for molybdenum association in environmental samples

By comparing three sequential extraction procedures, a new optimized extraction scheme for the molybdenum association in environmental samples was proposed. Five operational steps were described as exchangeable (KH₂PO₄ + K₂HPO₄: including water-soluble), associated with organic matter (NaOH), Fe–Mn oxides and/or carbonates (HCl), sulfides (H₂O₂) and residue (HNO₃ + HF + H₂O₂). An optimized extraction scheme was compared with Tessier’s procedure and the Commission of European Communities Bureau of Reference (BCR) was applied to black shales. Results showed Tessier’s procedure gave the lowest concentration values for exchangeable molybdenum and the highest values for the residual molybdenum, which could not present the efficiency of the extraction reagents. BCR’s procedure showed the highest values in oxidizable molybdenum and presented four fractions of molybdenum, which did not demonstrate the fractions of molybdenum in the black shales in detail. The optimized extraction scheme demonstrated a certain improvement on extraction efficiency over Tessier’s procedure for the lowest residual molybdenum, and revealed more featured fraction information of molybdenum in black shales than BCR’s. Therefore, after a comparison with other two extraction procedures, the optimized extraction scheme proved suitable for the molybdenum in black shales and it also showed an accurate determination of the molybdenum in the fractions and source of bioavailable Mo.     

Review on Montane Forest Eco-hydrology in Arid Area

Since the forest eco-hydrology of arid area shows a well sensitivity of the global climate change, the relationship between forest and water and the hydrological function has attracted the attention of academic communites and management departments. This paper expounds the research progress in arid mountain forest eco-hydrology, and analyses the formation and stable mechanism of forest patch pattern, the relationship between forest and water yield and the response of forest eco-hydrology to climate change from three aspects: Forest spatial pattern, hydrological process and its response to climate change. In addition, combined with the current research progress, the research emphases in the future are put forward: Strengthening the research on the coupling of vegetation pattern and hydrological process; solving the scale problem by using remote sensing technique and model; enhancing the understanding towards the hydrological function of forest; determining the suitable forest scale which can balance the relationship of ecology and hydrological effect.     

Regional debris flow susceptibility analysis based on principal component analysis and self-organizing map: a case study in Southwest China

A method was developed to analyze the susceptibilities of 541 regional basins affected by debris flows at the Wudongde Dam site in southwest China. Determining susceptibility requires information on source material quantity and occurrence frequency. However, the large number of debris flows can hinder the individual field investigation in a each small basin. Factors that may trigger debris flows can be identified using remotely sensed interpretation information. Susceptibility analysis can then be conducted based on these factors. In this study, SPOT5 satellite imagery, digital elevation models (DEM), a lithology distribution map, and rainfall monitoring data were used to identify 12 debris flow trigger factors: basin relief ratio, slope gradient in the initiation zone, drainage density, downslope curvature of the main channel, vegetation coverage, main channel aspect, topographic wetness index, Melton’s ruggedness number, lithology, annual rainfall, form factor, and cross-slope curvature of the transportation zone. Principal component analysis was used to obtain the eight principal components of these factors that contribute to susceptibility results. Then, a self-organizing map method was adopted to analyze the principal components, which resulted in a debris flow susceptibility classification. Field validation of 26 debris flow basins was used to evaluate the errors of the susceptibility classification, as well as assess the causes of such errors. The study found that principle component analysis and self-organizing map methodologies are good predictors of basin susceptibility to debris flows.