考虑温度和密度影响的非饱和黄土土-水特征曲线研究

取扰动黄土进行试验研究,测试得到了不同密度和温度黄土土样的土-水特征曲线。试验资料揭示出：密度变化引起基质吸力的变化非常显著。相对而言,温度变化引起基质吸力的变化不显著。对于一定含水率的土样,温度变化引起的吸力变化值在高含水率时较小,可以忽略不计,而在低含水率时较大;温差越大,吸力变化越大。进一步基于试验资料的分析,得到了考虑密度和温度影响的土-水特征曲线的表达式,并通过计算和测试结果的对比分析,验证了表达式的合理性。     

低密度钻井液DMZ的开发与应用

钻井液是钻探施工的血液,低密度无固相钻井液ＤＭＺ,能有效解决小口径绳索取心钻探中出现的钻杆内结泥皮、岩粉携带能力差、失水量高等问题。     

黑龙江省闪电活动特征及其与地面相对湿度的响应关系

利用2006-2017年黑龙江省闪电定位资料和日平均地面相对湿度资料,采用数理统计、Pearson相关分析、GIS空间分析技术,研究了闪电密度和强度对地面相对湿度（R_H）的响应关系。结果表明：地面R_H过小或过大都不利于闪电活动产生;当R_H < 25%时,几乎无闪电发生,当R_H < 77%时,R_H增加有利于闪电活动发生,当R_H>79%时,随着R_H增加,闪电活动减少;当R_H < 77%时,闪电密度与之呈正相关,闪电强度与之呈负相关;当R_H>79%时,闪电密度与之呈负相关,闪电强度与之呈正相关;地面R_H的临界值域约为77%-79%;70%≤ R_H ≤ 90%区间为闪电易发湿度区间,在闪电密度与湿度相关度高的区域,闪电更趋于集中发生在闪电易发湿度区间。     

The High Concentration Tails Of The Probability Density Function Of A Dispersing Scalar In The Atmosphere

The distribution function for concentrations of a scalar pollutant dispersing in the turbulent atmosphere has a finite domain that is bounded above and below. Three methods, based on extreme value statistics, are used to obtainestimates for the upper bound and to describe the high concentration tailbehaviour of the distribution; all three methods are applied to concentrationdata obtained from experimental atmospheric releases. Quantile quantile (QQ)plots are used to assess the goodness of fit of the resulting estimates of thedistribution, and also to compare the performance of the three methods. Thepredicted values for the upper bound are orders of magnitude less than thesource concentration, illustrating that molecular diffusion has a large effecton the high concentrations.     

一种基于微博语义的天气情感地图设计

天气情感地图是一种表达情感相关的专题地图。本文提出了一种基于微博语义的天气情感地图设计方法,基于程序获取了合肥市区2016年6月20日至2016年7月10日暴雨期间带有地理位置的新浪微博数据,通过数据清洗及标准化处理,利用情感词库,结合人工判读,将暴雨天气过程相关情感微博文本数据分为8种情感类别,设计了8种情感着色,结合GIS格网技术与核密度分析方法,制成暴雨天气过程前、中后期情感地图,并分析了暴雨天气过程3个阶段中微博用户多维情感变化。该研究可为政府相关部门在突发性天气灾害过程中制定救助与决策提供参考。     

堤防隐患探测实例分析

在堤防隐患探测中，采用地质雷达、高密度电法、电测深法、地震折射波法等综合物探技术，并结合少量的土工试验资料，提高了物探成果的可靠性和实用性，取得了良好的应用效果．为堤防隐患探测提供了新的思路。     

NaCl—H_2O溶液包裹体的密度式和等容式及其应用

由于含盐类包裹体不能应用现有的状态方程求解,作者根据实验数值,采用最小二乘法等,得到含盐度(wt%)≤25的NaCl-H_2O溶液包裹体的密度式和等容式。只要测定出包裹体的均一温度和含盐度,代入密度式,即可计算包裹体中的流体密度。再由此密度、含盐度的等容式,进一步可求得包裹体的形成温度和压力。最后,作者列举了三个实例。     

Classification of densities and characteristics of curve of population centers in China by GIS

In this paper, with the spatial analysis functions in ArcGIS and the county-level census data of 2000 in China, the population density map was divided and shown by classes, meanwhile, the map system of population distribution and a curve of population centers were formed; in accordance with the geographical proximity principle, the classes of population densities were reclassified and a population density map was obtained which had the spatial clustering characteristic. The multi-layer superposition based on the population density classification shows that the population densities become denser from the Northwest to the Southeast; the multi-layer clustering phenomenon of the Chinese population distribution is obvious, the populations have a water-based characteristic gathering towards the rivers and coastlines. The curve of population centers shows the population densities transit from the high density region to the low one on the whole, while in low-density areas there are relatively dense areas, and in high-density areas there are relatively sparse areas. The reclassification research on the population density map based on the curve of population centers shows that the Chinese population densities can be divided into 9 classes, hereby, the geographical distribution of Chinese population can be divided into 9 type regions: the concentration core zone, high concentration zone, moderate concentration zone, low concentration zone, general transitional zone, relatively sparse area, absolute sparse area, extreme sparse area, and basic no-man's land. More than 3/4 of the population of China is concentrated in less than 1/5 of the land area, and more than half of the land area is inhabited by less than 2% of the population, the result reveals a better space law of China’s population distribution.