北黄海盆地东部M隆起构造特征及演化

北黄海盆地是中国东部近海中生代断陷型盆地,详细记载着中国东部复杂的构造活动信息,期间经历了多期岩浆活动和构造反转。M隆起位于北黄海盆地东部,其构造活动记录比周边的坳陷更为详细。为充分认识M隆起的地质结构及沉积响应关系,在充分利用地震、钻测井等资料的基础上,结合区域构造背景,从构造运动学和动力学等方面探讨分析其构造演化历程,进而为北黄海盆地乃至中国东部地区的构造演化提供新的依据。高精度三维地震资料及地质分析揭示,该隆起区发育有5个典型的不整合面,纵向上可划分为5个构造层。结合北黄海盆地所处构造位置、构造变形和沉积充填特征,及板块运动和区域构造演化史,将北黄海盆地东部M隆起自中侏罗世至今的构造演化划分为5个阶段(共9期):裂陷阶段(稳定沉积期、掀斜形成期、早白垩世凹陷沉积期)、构造反转阶段(晚白垩世抬升剥蚀期)、再次裂陷阶段(早渐新世初沉积期、早渐新世末剥蚀期、F2断层活跃期)、再次构造反转阶段(整体抬升期)、区域沉降阶段(区域沉降期)。     

肥城市采煤塌陷区治理模式探索研究

肥城煤田作为国家重要能源基地,开发历史悠久,为我国高速发展的国民经济做出了巨大贡献。但长期开采导致塌陷范围广、深度大、积水严重,生态环境遭受严重破坏,给矿区群众的生产生活带来严重影响。该文总结了目前普及化程度较高的采煤塌陷区治理模式,以此为基础,对肥城市采煤塌陷区按照因地制宜的原则,通过分析研究、归纳得出适应于肥城市采煤塌陷区四种不同的治理模式,分别为:土地复垦治理模式、“渔业+农业”治理模式、生态修复治理模式、综合治理模式,并对四种治理模式进行了阐述分析,对今后肥城市采煤塌陷区治理起到借鉴和指导作用。     

临朐山旺泉天然苏打水形成机理简析

临朐山旺泉苏打水赋存于临朐群牛山组蜂窝状玄武岩中,水质优良,开发前景广阔,该文利用高压反应釜模拟实际地层条件下水岩平衡反应,同时辅以同位素分析,矿物X-射线衍射分析等手段,结合当地特殊的水文地质背景,系统性地阐明了苏打水形成机理。     

纳米铁去除饮用水中As(Ⅲ)和As(Ⅴ)

在好氧水体中,As(Ⅲ)比As(Ⅴ)更易迁移,而且在水处理过程中去除效率更低。在实验室合成制得BET比表面积为49.16 m2/g,直径范围为20~40 nm的纳米铁。通过批试验考察纳米铁对As(Ⅲ)和As(Ⅴ)去除能力及其反应动力学情况。结果表明,在pH为7,温度20℃时纳米铁能够快速地去除As(Ⅲ)和As(Ⅴ),在60 m in内,0.25 g纳米铁对起始浓度为968.6μg/L As(Ⅲ)和828.9μg/L As(Ⅴ)的去除率大于99.5%。反应遵循准一级反应动力学方程,标准化后的As(Ⅲ)和As(Ⅴ)比表面积速率常数kSA分别为1.30 mL/(m2.m in)和1.64 mL/(m2.m in)。由实验结果可知,具有高反应活性的纳米铁是用于含砷饮用水处理非常有效的吸附材料。     

基于GPU并行加速的叠前逆时偏移方法

为了提高复杂地下介质的成像精度和偏移算法的计算效率,提出可高效对地下复杂构造进行准确成像的GPU加速叠前逆时偏移方法.该方法采用双程声波方程进行波场延拓,突破倾角限制,借助于高阶有限差分方法实现叠前逆时偏移成像;利用GPU(Graphic Processing Unit)并行加速技术对波场延拓和成像进行计算,相比于传统算法,其计算效率有较大提高,可以解决叠前逆时偏移算法计算量过大问题;在获取波场信息过程中,也采用随机边界条件,实施以计算换存储策略,解决逆时偏移计算中的海量存储问题.模型测试结果表明,该方法能够高效和高精度地对地下复杂地质体成像.     

北斗三频无几何、消电离层组合周跳探测方法研究

根据多频组合理论,构造基于北斗三频数据的无几何、消电离层组合,结合双频MW组合法和电离层残差法,对北斗实测三频数据进行周跳探测。实验表明,上述3种组合的结合使用能探测出所有大小的周跳,并具有较好的修复效果。     

陆地惯性重力测量静态试验研究

利用高精度捷联式惯性测量设备开展测定重力场的初步静态试验,并对静态惯性重力测量影响因素作初步探讨。静态测试表明,基于试验采用IMU内置的石英挠性加速度计,在稳定的观测环境下通过30 s的滑动平均滤波可以消除高频噪声,得到标准差约为1.5 mGal的重力观测值,但仪器自身的不稳定性和环境变化引起的漂移会使重力观测值呈线性增大的趋势。针对该变化,通过回归分析进行拟合,并结合初始重力已知点上观测得到的初始偏移量,在车载试验中对零速修正点上的静态重力测量误差进行补偿,使大多数点上的重力观测精度由12~20 mGal提升至优于2 mGal。     

Mapping of Regional Soil Salinities in Xinjiang and Strategies for Amelioration and Management

Information on the spatial distribution of soil salinity can be used as guidance in avoiding the continued degradation of land and water resources by better informing policy makers. However, most regional soil-salinity maps are produced through a conventional direct-linking method derived from historic observations. Such maps lack spatial details and are limited in describing the evolution of soil salinization in particular instances. To overcome these limitations, we employed a method that included an integrative hierarchical-sampling strategy(IHSS) and the Soil Land Inference Model(So LIM) to map soil salinity over a regional area. A fuzzy c-means(FCM) classifier is performed to generate three measures, comprising representative grade, representative area, and representative level(membership). IHSS employs these three measures to ascertain how many representative samples are appropriate. Through this synergetic assessment, representative samples are obtained and their soil-salinity values are measured. These samples are input to So LIM, which is constructed based on fuzzy logic, to calculate the soil-forming environmental similarities between representative samples and other locations. Finally, a detailed soil-salinity map is produced through an averaging function that is linearly weighted, which is used to integrate the soil salinity value and soil similarity. This case study, in the Uyghur Autonomous Region of Xinjiang of China, demonstrates that the employed method can produce soil salinity map at a higher level of spatial detail and accuracy. Twenty-three representative points are determined. The results show that 1) the prediction is appropriate in Kuqa Oasis(R2 = 0.70, RPD = 1.55, RMSE = 12.86) and Keriya Oasis(R2 = 0.75, RPD = 1.66, RMSE = 10.92), that in Fubei Oasis(R2 = 0.77, RPD = 2.01, RMSE = 6.32) perform little better than in those two oases, according to the evaluation criterion. 2) Based on all validation samples from three oases, accuracy estimation show the employed method(R2 = 0.74, RPD = 1.67, RMSE = 11.18) performed better than the multiple linear regression model(R2 = 0.60, RPD = 1.47, RMSE = 14.45). 3) The statistical result show that approximately half(48.07%) of the study area has changed to salt-affected soil, mainly distributed in downstream of oases, around lakes, on both sides of rivers and more serious in the southern than the northern Xinjiang. To deal with this issue, a couple of strategies involving soil-salinity monitoring, water management, and plant diversification are proposed, to reduce soil salinization. Finally, this study concludes that the employed method can serve as an alternative model for soil-salinity mapping on a large scale.     

一致性哈希算法在数据库集群上的拓展应用

在数据库集群的研究中,可扩展性是一个重要的性能指标.为实现在数据高速增长或部分集群服务器故障情况下,数据依然能够快速、可靠、安全的分布到新的集群服务器节点上的目的,就必须合理设置数据划分的策略.将Key-Value存储技术中使用的一致性哈希算法思想借鉴运用到并行分析型数据库集群中,提出针对大规模结构化类特殊数据的一致性哈希划分方法,并在MapReduce框架下设计具体的数据划分方案.最后,以TPC-DS作为测试基准,与同类系统进行性能对比测试,实验结果表明方案不仅有良好的划分性能,且扩展性也较好.     

多模式控制在关联系统中的应用研究

根据多模式控制器的设计理论,以偏差分段为基础,将控制过程分为几个阶段,用不同的模式加以控制,用加速储能控制来解决响应快速性的要求;用快速放能控制来解决响应平稳性要求;用稳态能量控制来解决系统的准确性要求。把控制模式用于双输入双输出关联系统的解耦系统中进行了仿真研究,与常规控制方法做了比较,多模式控制在关联系统中具有良好的动态响应性能。