1961—2017年中国华东区域高空温度变化特征

利用中国华东六省一市13个探空站1961—2017年高空温度数据,对850 hPa、500 hPa、200 hPa高空温度的时间变化特征和空间变化特征进行分析,结果表明:1961—2017年中国华东区域对流层中下层增温趋势明显,向上增温趋势减弱,对流层顶增温趋势有所增强.850 hPa、500 hPa温度的年代际变化均...     

土壤墒情观测常见问题及排除经验

针对土壤墒情观测编发报及应用中常遇到的问题,寻找问题的排除方法。     

测井预测TOC方法在页岩储层评价中的运用

总有机碳含量(TOC)是页岩储层评价中的一个重要参数,同时也是烃源岩评价的重要指标.本论文在测井原理的指导下,基于不同岩石类型对测井参数的响应特征,运用自然伽马能谱测井法、多元回归法和△ LogR 法对四川盆地南部龙马溪组页岩的TOC含量进行预测,通过数理统计和误差分析,选出最佳预测方法.研究结果表明:四川盆地南部页岩...     

Genetic diversity and differentiation of three populations of Penaeus monodon Fabricus

Genetic diversity of two wild Penaeus monodon populations sampled from the coastal waters of Qinglan （ Hainan Province of China, HN） and Malaysia （KD）, and the F1 generation of a Thailand broodstock population （CP） were examined by vertical polyacrylamide gel electrophoresis. Of 21 loci encoded by ten enzymes, 11 were polymorphic. The mean proportions of polymorphic loci of HN, KD and CP were 36. 36%, 45.45% and 50.00% , with the average heterozygosities of 0.135, 0.181 and 0.191, and the effective numbers of alleles per loci were 1. 300, 1. 330 and 1. 329, respectively. The divergent indexes of HN, KD and CP were0.023, 0.124, and 0.117, respectively. The genetic distance between the two wild populations was 0.005, and the gene differentiation coefficient was also very low （0.014）. The results indicated that the F1 generation population had a higher genetic diversity than the two wild populations, and that the HN population had the lowest one. There was no significant differentiation between HN and KD populations and all populations existed with a slight heterozygote excess.     

基于GIS技术的耕地坡度分级方法

分析传统耕地坡度分级方法的缺陷,提出利用GIS技术的耕地坡度分级新方法。以枝江市董市镇为例实证,研究制定定量融合指标和工作流程,不仅有效地控制了耕地图斑的数量,而且确保利用耕地坡度分级数据统计汇总的各耕地坡度级面积数据与真实值基本一致,提高了汇总面积数据的精度。     

基于GML的多源异构空间数据整合系统

目前在各行业、各部门存在的大量多源异构空间数据,严重影响了地理数据跨地区、跨行业、跨部门的交换与共享,为提高各行业、各部门之间的协调工作能力,达到空间数据的交换与共享,对多源异构空间数据的整合研究尤为重要.在总结前人研究成果的基础上,提出基于GML的多源异构空间数据整合、共享方式,并设计实现空间数据整合原型系统,该系统基本实现了空间数据的交换与共享.     

Time-Domain Full Waveform Inversion Using the Gradient Preconditioning Based on Transmitted Wave Energy

The gradient preconditioning approach based on seismic wave energy can effectively avoid the huge memory consumption of the gradient preconditioning algorithms based on the Hessian matrix. However, the accuracy of this approach is prone to be influenced by the energy of reflected waves. To tackle this problem, the paper proposes a new gradient preconditioning method based on the energy of transmitted waves. The approach scales the gradient through a precondition factor, which is calculated by the ‘approximate transmission wavefield' simulation based on the nonreflecting acoustic wave equation. The method requires no computing nor storing of the Hessian matrix and its inverse matrix. Furthermore, the proposed method can effectively eliminate the effects of geometric spreading and disproportionality in the gradient illumination. The results of model experiments show that the time-domain full waveform inversion(FWI) using the gradient preconditioning based on transmitted wave energy can achieve higher inversion accuracy for deep high-velocity bodies and their underlying strata in comparison with the one using the gradient preconditioning based on seismic wave energy. The field marine seismic data test shows that our proposed method is also highly applicable to the FWI of field marine seismic data.     

Simulation Study of Potential Impacts of Tidal Farm in the Eastern Waters of Chengshan Cape,China

The sea area east of Chenshan Cape has peak tidal current flows that exceed 2.3 m s-1, which make it a promising site for the development of tidal current energy. Before these resources can be exploited, a comprehensive assessment is needed of the potential environmental impacts of the extraction of this energy. In this paper, we describe our construction of a three-dimensional hydrodynamic model of the waters near Chengshan Cape, and verify the performance of the model using continuous data measured in situ. We modeled the potential impacts of the exploitation of these resources on the flow field by adding a momentum loss term in the governing equation of the model. Simulation results show that an assumed tidal farm with an estimated power output of 20.34 MW would have a significant impact on the surrounding water level, especially next to the farm, where fluctuation could reach 6 cm. The maximum drop in the flow velocity in the wake of the farm was predicted to be more than 0.8 m s-1, and this influence would extend 10 km downstream.     

GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine

The loess area in the northern part of Baoji City, Shaanxi Province, China is a region with frequently landslide occurrences. The main aim of this study is to quantitatively predict the extent of landslides using the index of entropy model(IOE), the support vector machine model(SVM) and two hybrid models namely the F-IOE model and the F-SVM model constructed by fractal dimension. First, a total of 179 landslides were identified and landslide inventory map was produced, with 70%(125) of the landslides which was optimized by 10-fold crossvalidation being used for training purpose and the remaining 30%(54) of landslides being used for validation purpose. Subsequently, slope angle, slope aspect, altitude, rainfall, plan curvature, distance to rivers, land use, distance to roads, distance to faults, normalized difference vegetation index(NDVI), lithology, and profile curvature were considered as landslide conditioning factors and all factor layers were resampled to a uniform resolution. Then the information gain ratio of each conditioning factors was evaluated. Next, the fractal dimension for each conditioning factors was calculated and the training dataset was used to build four landslide susceptibility models. In the end, the receiver operating characteristic(ROC) curves and three statistical indexes involving positive predictive rate(PPR), negative predictive rate(NPR) and accuracy(ACC) were applied to validate and compare the performance of these four models. The results showed that the F-SVM model had the highest PPR, NPR, ACC and AUC values for training and validation datasets, respectively, followed by the F-IOE model.Finally, it is concluded that the F-SVM model performed best in all models, the hybrid model built by fractal dimension has advantages than original model, and can provide reference for local landslide prevention and decision making.     

铣削斜楔形区域形成及其对流场负压区的影响规律

【目的】研究在内喷淋冷却高速铣孔加工中,铣削斜楔形区域的形成对流场负压区的影响。【方法】对高速湿式铣削加工区域建立三维流场模型,应用计算流体力学软件Fluent,采用非结构化四面体网格单元,利用滑移网格技术对高速铣削过程进行三维瞬态计算。【结果】得到不同刃数、不同转速的立铣刀对同一孔径工件进行切削时流场的压力分布情况。三刃立铣刀斜楔形对流场负压影响最大,当立铣刀刃数增加时,此斜楔形区缩小,负压减小,转速为10 000～20 000 r/min时增长速度逐渐降低,20 000～35 000 r/min时增长速度逐渐增高。【结论】从流场角度分析,流场中最大负压值与转速呈正相关,转速的提高增加了抑制空化的难度;增加铣刀刃数,可减小流场斜楔形区面积,减小空化可能。