新一代天气雷达CINRAD/CC接收系统典型故障分析与处理

分析CINRAD/CC雷达接收系统工作原理,给出了CINRAD/CC雷达接收系统关键点参数表,介绍了雷达接收系统常用的故障分析方法,通过对接收系统故障现象、故障原因分析,归纳总结出6类接收系统典型故障及其处理方法.随着雷达使用年限的增加,雷达设备故障率也在增加,而故障维修工作纷繁复杂,这就需要把雷达故障进行总结、分类,同一种类型的故障对应相应故障处理方法,这样就能大大提高雷达维修的时效性.     

气候变化对黄河流域径流变化及其可能影响研究进展

阐述了黄河流域水文要素变化的事实,揭示了黄河流域径流的脆弱性;综述了黄河流域径流对气候变化的敏感性及未来气候变化对黄河流域径流的可能影响的研究现状.目前的研究表明:降水在20世纪80年代后呈弱减少趋势,径流减少明显;径流对降水的敏感程度高于对气温的敏感程度;在未来气候变化情景下,径流总体呈减少趋势,黄河流域未来水资源紧张态势将进一步加剧.依据上述研究成果,提出了黄河流域适应气候变化的对策.诸多气候变化对黄河径流影响的研究中,尚存在不足:气候变化对径流变化影响的机理尚需进一步研究,缺乏极端气候事件对径流的影响研究,气候模型和水文模型中的不确定问题有待解决.     

Soil geochemical prospecting prediction method based on deep convolutional neural networks-Taking Daqiao Gold Deposit in Gansu Province,China as an example

A method is proposed for the prospecting prediction of subsurface mineral deposits based on soil geochemistry data and a deep convolutional neural network model.This method uses three techniques(window offset,scaling,and rotation)to enhance the number of training data for the model.A window area is used to extract the spatial distribution characteristics of soil geochemistry and measure their correspondence with the occurrence of known subsurface deposits.Prospecting prediction is achieved by matching the characteristics of the window area of an unknown area with the relationships established in the known area.This method can efficiently predict mineral prospective areas where there are few ore deposits used for generating the training dataset,meaning that the deep-learning method can be effectively used for deposit prospecting prediction.Using soil active geochemical measurement data,this method was applied in the Daqiao area,Gansu Province,for which seven favorable gold prospecting target areas were predicted.The Daqiao orogenic gold deposit of latest Jurassic and Early Jurassic age in the southern domain has more than 105 t of gold resources at an average grade of 3-4 g/t.In 2020,the project team drilled and verified the K prediction area,and found 66 m gold mineralized bodies.The new method should be applicable to prospecting prediction using conventional geochemical data in other areas.     

Spatial prediction of landslide susceptibility by combining evidential belief function,logistic regression and logistic model tree

Abstract

In this study, we introduced novel hybrid of evidence believe function (EBF) with logistic regression (EBF-LR) and logistic model tree (EBF-LMT) for landslide susceptibility modelling. Fourteen conditioning factors were selected, including slope aspect, elevation, slope angle, profile curvature, plan curvature, topographic wetness index (TWI), stream sediment transport index (STI), stream power index (SPI), distance to rivers, distance to faults, distance to roads, lithology, normalized difference vegetation index (NDVI), and land use. The importance of factors was assessed using correlation attribute evaluation method. Finally, the performance of three models was evaluated using the area under the curve (AUC). The validation process indicated that the EBF-LMT model acquired the highest AUC for the training (84.7%) and validation (76.5%) datasets, followed by EBF-LR and EBF models. Our result also confirmed that combination of a decision tree-logistic regression-based algorithm with a bivariate statistical model lead to enhance the prediction power of individual landslide models.     

Wave-ice dynamical interaction: a numerical model and its application

In this paper, an ice floe inner stress caused by the wave-induced bending moment is derived to estimate the stress failure of ice floe. The strain and stress failures are combined to establish a wave-induced ice yield scheme. We added ice stress and strain failure module in the Finite-Volume Community Ocean Model (FVCOM), which already includes module of ice-induced wave attenuation. Thus a fully coupled wave-ice dynamical interaction model is established based on the ice and wave modules of FVCOM. This model is applied to reproduce the ice and wave fields of the breakup events observed during the second Sea Ice Physics and Ecosystem Experiment (SIPEX-2) voyage. The simulation results show that by adopting the combined wave-induced ice yield scheme, the model can successfully predict the ice breakup events, which the strain failure model is unable to predict. By comparing the critical significant wave height deduced from strain and stress failure schemes, it is concluded that the ice breakup is caused by the strain failure when wave periods are shorter than a threshold value, while the stress failure is the main reason for the ice breakup when wave periods are longer than the threshold value. Neglecting either of these two ice-break inducement mechanisms could overestimate the ice floe size, and thus underestimate the velocity of the ice lateral melt and increase the error of simulation of polar ice extent.     

荒漠绿洲区间作和密植对作物产量和水分利用效率的影响

针对间作种植模式下密植潜力薄弱、水资源不足、生产实践中难以同步提高产量和水分利用效率(WUE)的问题,在河西荒漠绿洲区通过大田试验研究了4个(5.25、6.00、6.75、7.50万株·hm^-2)玉米密度水平下玉米间作豌豆群体的产量和水分利用效率,以期为构建禾豆间作在密植条件下的高效节水技术提供理论依据。结果表明:玉米间作豌豆的土地当量比(LER)平均达到1.16,且LER随玉米密度的增大而增大。单位面积间作玉米的产量平均达到了相应单作的74.87%;随玉米密度的增大,作物产量的最大值均出现在高密度(6.75、7.50万株·hm^-2)处理中。间作0~120 cm土层平均土壤含水量平均低于单作玉米1.60%,但平均高于单作豌豆6.70%;两年内单作玉米和间作0~120 cm土层平均土壤含水量均在高密度(7.50万株·hm^-2)处理时最大。由于土壤贮水量、降雨量、灌水等诸多因素的影响,间作较单作增加了耗水量(ET),上述间作的ET比单作高19.23%~23.66%。与单作WUE加权平均相比较,间作的WUE分别高于单作11.08%、13.32%、18.86%和28.06%;不同玉米密度处理中,密度3(6.75万株·hm^-2)的WUE表现出了优势。因此,在河西荒漠绿洲区,同步提高作物产量和水分利用效率的有效措施之一是间作和密植条件。     

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新疆地貌数字区划

This paper presents a method of geomorphologic regionalization for Xinjiang, with the use of Srtm-DEM (resolution 90 m) and TM images for 1990 (resolution 30 m). After interpretation and classification of geomorphologic types, the present research focuses on the qualitative and quantitative distribution of different geomorphologic types based on geographical grid analysis. Then, by using system clustering analysis method, geomorphologic types are grouped into divisions. The resulting geomorphologic regionalization hierarchy of Xinjiang includes three levels, i.e., macro-landform divisions, medium-landform divisions, and micro-landform divisions, containing 6, 23 and 200 types, respectively. This method makes it possible to digitally delimit geomorphologic regions. Comparison and verification show that the spatial precision of the boundaries of geomorphologic subareas in Xinjiang is very high.     

Development of seismic force requirements for buildings in Taiwan

This paper describes static and dynamic procedures to calculate seismic demand specified by the current seismic design code for buildings in Taiwan,which was issued in 2005.For design levels with a return period of475 years,the design spectral response acceleration can be developed for general sites,near-fault sites and Taipei Basin.In addition,in order to prevent building collapse during extremely large earthquakes and yielding of structural components and elements during frequent small earthquakes,the ...     

Deriving depths of deep chlorophyll maximum and water inherent optical properties: A regional model

The Bohai Sea is a semi-enclosed inland sea with case-2 waters near the coast. A comprehensive set of optical data was collected during three cruises in June, August, and September 2005 in the Bohai Sea. The vertical profile measurements, such as chlorophyll concentration, water turbidity, downwelling irradiance, and diffuse attenuation coefficient, showed that the Bohai Sea was vertically stratified with a relative clear upper layer superimposed on a turbid lower layer. The upper layer was found to correspond to the euphotic zone and the deep chlorophyll maximum (DCM) occurs at the base of this layer. By tuning a semi-analytical model (24 and 25) for the Bohai Sea, we developed a method to derive water inherent optical properties and the depth of DCM from above-surface measurements. Assuming a ‘fake’ bottom in the stratified water, this new method retrieves the ‘fake’ bottom depth, which is highly correlated with the DCM depth. The average relative error between derived and measured values is 33.9% for phytoplankton absorption at 440 nm, 25.6% for colored detrital matter (detritus plus gelbstoff) absorption at 440 nm, and 24.2% for the DCM depth. This modified method can retrieve water inherent optical properties and monitor the depth of DCM in the Bohai Sea, and the method is also applicable to other stratified waters.