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1.
针对卫星钟差不能被精确模型化的问题,将具有较强记忆功能和强大计算能力的Elman神经网络运用到卫星钟差预报中,提出适用于卫星钟差预报的Elman模型。首先对原始钟差数据进行一次差处理,然后选择合适的神经网络结构建立预报效果最佳的Elman钟差预报模型,最后选用国际GNSS服务(IGS)提供的精密钟差数据进行GPS卫星钟差预报,并与二次多项式模型、附加周期项的多项式模型和灰色系统模型进行对比分析。结果表明,Elman模型进行1 d、7 d和30 d钟差预报的精度得到显著提高,分别达到亚ns、ns和μs级,表明该模型的钟差预报性能优于3种常用模型,在卫星钟差预报中具有可行性。  相似文献   
2.
为了比较不同陆面扰动方法对短时集合预报的影响,本研究设计了陆面模式扰动实验(LSMPE),初始土壤湿度扰动实验(ISMPE),陆面-大气耦合系数扰动实验(LCCPE)以及大气扰动对照实验(GEFSPE).结果表明,在三组陆面扰动实验中,LSMPE能代表最大的不确定性且误差最小;ISMPE的离散度要比LCCPE稍大,但是耦合系数的减弱能有效降低区域平均降水量.然而,所有陆面扰动实验产生的离散度均小于GEFSPE,这表明未来有必要将陆而扰动与大气扰动相结合,以使得模式能代表更多的不确定性.  相似文献   
3.
Uncontrolled coal fires are natural disasters that may cause mineral loss and environmental damage. The traditional loop source transient electromagnetic method can effectively detect the low-resistivity region of coal fires, but its detection efficiency is not so good for high-resistivity regions. In view of this limitation, a technique based on electrical source transient electromagnetics is proposed in this paper to detect high-resistivity regions in the spontaneous combustion process of coal. Considering the complex geometry of the coal fire area, an unstructured tetrahedral grid is used in this study to realize the spatial discretization of the model, and solve the electromagnetic field based on a vector finite element algorithm. Numerical analysis is used to investigate methods for detecting coal fires and the characteristics of effective anomalies are further examined to provide guidance for practical detection.  相似文献   
4.
陈缘  韩禹  许博  刘金高 《岩石学报》2021,37(12):3869-3879
内蒙古黄岗梁萤石呈现稀有的红色特征,该颜色萤石全球产量稀少,本文利用LA-ICP-MS原位测试技术对其微量元素地球化学特征进行了系统分析,探讨黄岗梁铁锡矿床中红色萤石的成因。微量元素分析结果显示黄岗梁萤石样品中总稀土元素含量较低,并表现出左倾的富集重稀土特征,其中红色和粉色萤石的稀土元素配分曲线显示出Dy-Tm拱顶式凸起的配分模式,表明其结晶作用发生在成矿流体演化的最后阶段;Y/Ho比值104~197,与热液成因萤石一致,且La/Ho比值为0.027~0.126,具强的负异常,表明了黄岗梁萤石为热液成因;Ce/Ce*比值0.57~0.98,Eu/Eu*比值0.22~0.63,均表现出负异常,表明形成黄岗梁萤石的热液流体是在相对还原环境下形成且温度高于200℃。综合分析萤石的地球化学特征和其与围岩的接触关系,认为黄岗梁萤石主要分为两阶段结晶,一阶段为与石英同期结晶形成红色、粉色部分,二阶段为在石英形成后结晶形成的由阳起石他色致色的绿色部分,而黄岗梁萤石罕见的红色是由于Y元素较为富集且含量远高于其他稀土元素,从而形成YO2色心并在萤石中作用而显色。  相似文献   
5.
Numerous efforts have been made to understand stemflow dynamics under different types of vegetation at the inter-event scale, but few studies have explored the stemflow characteristics and corresponding influencing factors at the intra-event scale. An in-depth investigation of the inter- and intra-event dynamics of stemflow is important for understanding the ecohydrological processes in forest ecosystems. In this study, stemflow volume (FV), stemflow funnelling ratio (FR), and stemflow ratio (F%) from Quercus acutissima and Broussonetia papyrifera trees were measured at both inter- and intra-event scales in a subtropical deciduous forest, and the driving factors, including tree species and meteorological factors were further explored. Specifically, the FV, FR and F% of Q. acutissima (52.3 L, 47.2, 9.6%) were lower than those of B. papyrifera (85.1 L, 91.2, 12.4%). The effect of tree species on FV and F% was more obvious under low intensity rainfall types. At the inter-event scale, FV had a strong positive linear correlation with rainfall amount (GP) and event duration (DE) for both tree species, whereas FR and F% had a positive logarithmic correlation with GP and DE only under high-intensity, short-duration rainfall type. FR and F% were mainly affected by wind speed and the maximum 30-min rainfall intensity under low-intensity, long-duration rainfall type. At the intra-event scale, for both tree species, the mean lag time between the start of rainfall and stemflow was the shortest under high-intensity, short-duration rainfall type, while the mean duration and amount of stemflow after rain cessation were the greatest under high-amount, long-duration rainfall type. The relationship between stemflow intensity and rainfall intensity at the 5-min interval scale also depended greatly on rainfall type. These findings can help clarify stemflow dynamics and driving factors at both inter- and intra-event scales, and also provide abundant data and parameters for ecohydrological simulations in subtropical forests.  相似文献   
6.
Natural environments contribute to people’s perception, preference and health restoration. Many researchers have focused either on the positive effects of overall rural environments on stress recovery or concentrated on the perception and preference aspects of the rural landscape, but few have integrated perception, preference and stress recovery simultaneously. This paper developed a framework which includes 11 elements and 38 element components related to Linpan, China, and distributed it online as part of a survey. As a result, a total of 324 valid questionnaires were collected. The questionnaire included demographic details, perception and preference degree for Linpan, as well as self-estimations of stress recovery. Stepwise multiple linear regression was employed, and revealed 16 significant predictors for the perception, preference and stress recovery in rural environments. In terms of elements, atmosphere and imagery were the two elements that could be best perceived, while woodland, farmland, water, residence and road were the five most important elements for the preference. Moreover, seven elements were also identified as significant predictors for stress recovery. Among the element components, tranquility as well as road and water proximity were the two significant predictors for perception, while wide visibility as well as woodland and residence blending contributed significantly to stress recovery. The five element components of woodland interior, vegetable field, stream, courtyard space and branch road each had a significantly predictive ability for preference and stress recovery. These findings extend the understanding of the perception, preference and restorative properties of rural environments through the combination of elements and element components in Linpan of Western Sichuan, helping to improve the quality and characteristics of rural external and internal environments and create health-promoting environments.  相似文献   
7.
瞬变电磁法应用于矿产资源、环境工程等领域。目前主流的瞬变电磁三维正演模拟方法包括积分方程法、有限差分法、有限体积法和有限元法。随着观测环境的复杂化以及探测精度要求的提高,有必要研究瞬变电磁法高精度三维模拟计算,以便推动数据处理解释方法的进步。本文系统介绍了瞬变电磁三维正演计算研究进展,分析了准静态差分方程的构建和发射源的加载及边界的处理等有限差分法的关键技术,厘定出空间和时间离散以及大型线性方程组的求解等有限元法的难题。瞬变电磁数值模拟今后的发展方向是深入开展近源情况下受场源效应、复杂地形、极化效应等影响的三维模拟,以及特殊场情况下的多源多分量响应计算,为瞬变电磁法精细探测提供理论支撑。  相似文献   
8.
通过智能物联网技术实时获取积水监测实况数据,利用天津市气象精细化格点预报产品和城市自动雨量观测站实况数据,以机器学习、神经网络模型和天津市城市内涝风险等级划分原理为基础,研究基于用户实时位置的城市内涝预报预警技术,研发天津市城市自动化积水监测预警系统。结果表明,该系统具备一定的城市内涝风险监测预警预报能力,并在2018—2020年多次重大天气过程中应用,积水深度预报结果与监测结果基本一致,应用数据表明验证结果良好,系统可以为政府防灾减灾决策、指挥调度提供精准、及时的气象数据支撑。  相似文献   
9.
丁坤  王瑞廷  刘凯  王智慧  申喜茂 《现代地质》2021,35(6):1622-1632
为了研究柞水—山阳矿集区夏家店金矿床成因,采用LA-ICP-MS和LA-MC-ICP-MS技术分析夏家店金矿床矿体及围岩样品中黄铁矿原位微量元素及氢、氧、硫同位素组成特征。结果表明,该矿床黄铁矿的Co/Ni 比值为0.11~0.76,说明其与沉积作用有关。矿石中黄铁矿的δ34S值(-9.40‰~7.16‰)与围岩碳质板岩的δ34S值(-8.84‰~10.64‰)接近,黄铁矿的δ34S均值(2.47‰)基本落在岩浆硫的范围内,指示矿石硫可能由地层硫和岩浆硫混合而成。氢、氧同位素测试结果表明,夏家店矿床成矿流体可能主要来自岩浆水,成矿后期有大气降水的加入。综合矿床地质特征、成矿温度、金赋存状态等特征和黄铁矿微量元素、硫同位素组成可知,夏家店金矿床属于卡林型金矿,其成矿流体主要来自岩浆水,成矿后期有大气降水加入;其成矿物质是由深部岩浆与地层混合而成。  相似文献   
10.
李骏  焉忠方  路前海 《探矿工程》2021,48(S1):339-342
钻机立柱是煤矿井下设备工作重要的承载部件,其性能直接影响整车工作的安全性和可靠性。通过建立立柱三维模型,对ZDY12000LD型定向钻机立柱的有限元分析,在最大起拔力下对立柱进行强度校核。将原立柱材料Q345钢改为Q550钢,显著提高了立柱的力学性能,立柱可承受的弯曲应力提高了43%,变形量减小4%,承载能力和安全可靠性显著提高,增强了钻机运行的稳定性、安全性和可靠性。  相似文献   
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