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61.
利用全球120个跟踪站2019年doy110~139观测数据进行GPS精密定轨;然后采用ECOM1、ECOM1+BW、ECOM1+ABW等3种光压模型,使用7个未参与定轨的测站进行PPP实验。结果表明,ECOM1+ABW组合模型轨道精度最高,非地影期三维轨道精度优于4 cm;对于静态PPP,收敛后水平方向精度优于0.8 cm,垂直方向精度优于1.2 cm;对于动态PPP,收敛时间在30 min左右,收敛后水平方向精度优于1.4 cm,垂直方向精度优于2.0 cm。 相似文献
62.
中国海岸带分布规律及其海部要素变化检测 总被引:2,自引:1,他引:1
在海岸带图测绘完成后,海部要素的变化是导致海岸带图使用价值降低的重要因素.根据我国海岸的组成物质将其归纳为淤泥质海岸、沙砾质海岸、基岩海岸、红树海岸和珊瑚海岸,并归纳总结了每一种海岸的空间分布规律.分析了影响海岸线、干出滩以及近海水深等海部要素变化的主要因素,海岸要素变化的因素和变化规律,进而提出了海部要素实质性变化的检测统计方法,对提高海岸带图测绘效率、缩短成图周期、确定更新周期和制定更新方案都具有重要的意义. 相似文献
63.
全球气温气压(GPT)系列模型可用于计算全球任意位置的气温、气压和水汽压等各种气象参数,目前国内外广泛使用且精度较高的全球气温气压模型主要为GPT2w模型.本文利用2012—2016年中国大陆地区102个国家气象站实测的气温、气压和水汽压数据对GPT2w模型进行精度分析.结果表明:GPT2w模型的气温误差均值为-0.45 ℃,标准偏差均值为10.04 ℃;气压误差均值为2.05 hPa,标准偏差均值为6.55 hPa;水汽压误差均值为0.11 hPa,标准偏差均值为6.15 hPa.总体而言,GPT2w模型计算出的气温、气压和水汽压值在中国大陆大部分地区具有较高的精度.同时,三种气象参数的精度在中国大陆地区分布不均匀,不同纬度区间存在一定差异且以年为周期均具有明显的季节性. 相似文献
64.
为提升对山西省地下流体观测井承压性的进一步认识,以位于该省北、中、南部的朔州井、静乐井、祁县井、洪洞井和东郭井为研究对象,选取水位、气压观测数据,并利用井水位的理论固体潮数据,分别对井水位进行气压的阶跃响应函数计算、FFT频谱和潮汐相位响应分析,综合判定地下流体观测井—含水层类型,结果表明,5口观测井地下水埋藏类型均为半承压水。 相似文献
65.
离线模型更新混合试验对构件拟静力数据进行恢复力模型参数识别,并更新数值子结构中相应构件的模型参数来提高混合试验精度,但该方法尚缺少真实试验的验证。本文基于课题组开展的足尺RC柱拟静力试验,取恢复力模型为集中塑性铰Ibarra-Medina-Krawinkler(IMK)模型,进行框架结构离线模型更新混合试验研究。结果表明,当物理子结构取为RC足尺柱时,离线模型更新混合试验能获得接近于真实试验情况下结构的地震响应,从而对该方法的有效性进行了试验验证。利用IMK经验公式,将真实试验模型参数识别值按轴压比进行对照修正,应用于不同层数的框架结构地震响应模拟,实现了试验数据的重复利用。 相似文献
66.
《地震研究进展(英文)》2022,2(4):100136
The key problem of the energy dissipation scheme of the arch dam body flood discharge and plunge pool below the dam is the stability problem of the plunge pool slab. As the protection structure of the underwater bed, the plunge pool slab bears the continuous impact of high-speed water flow. The hourly average dynamic water pressure on the slab is one of the main loads directly affecting the stability of the slab and is the main factor causing its erosion destruction. After the impoundment of the Xiluodu Hydropower Station, the measuring line of valley width in the plunge pool area has been continuously shrinking. By 2020, the cumulative shrinking value is about 80 mm. In light of the general background condition of valley shrinkage, daily inspection, annual detailed inspection, underwater inspection and drainage inspection of the plunge pool found that the plunge pool has experienced different degrees of damage, which greatly influences the long-term safety stability of the plunge pool. In this paper, the prototype observation data of flood discharge is used as the input load of pulsating-pressure, and the stress and displacement distribution of the plunge pool structure under the vibration load of flood discharge is analyzed under the condition that the stress and strain state of the plunge pool is changed under the influence of valley displacement. The results show that the stress, strain, and displacement distribution of the plunge pool are mainly caused by valley deformation, the vibration caused by flood discharge is little in influence, and the impact effect of deep hole flood discharge tongue on the plunge pool slab is weak. 相似文献
67.
David A. Yuen Melissa A. Scruggs Frank J. Spera Yingcai Zheng Hao Hu Stephen R. McNutt Glenn Thompson Kyle Mandli Barry R. Keller Songqiao Shawn Wei Zhigang Peng Zili Zhou Francesco Mulargia Yuichiro Tanioka 《地震研究进展(英文)》2022,2(3):100134
We present a narrative of the eruptive events culminating in the cataclysmic January 15, 2022 eruption of Hunga Tonga-Hunga Ha'apai Volcano by synthesizing diverse preliminary seismic, volcanological, sound wave, and lightning data available within the first few weeks after the eruption occurred. The first hour of eruptive activity produced fast-propagating tsunami waves, long-period seismic waves, loud audible sound waves, infrasonic waves, exceptionally intense volcanic lightning and an unsteady volcanic plume that transiently reached—at 58 ?km—the Earth's mesosphere. Energetic seismic signals were recorded worldwide and the globally stacked seismogram showed episodic seismic events within the most intense periods of phreatoplinian activity, and they correlated well with the infrasound pressure waveform recorded in Fiji. Gravity wave signals were strong enough to be observed over the entire planet in just the first few hours, with some circling the Earth multiple times subsequently. These large-amplitude, long-wavelength atmospheric disturbances come from the Earth's atmosphere being forced by the magmatic mixture of tephra, melt and gasses emitted by the unsteady but quasi-continuous eruption from 0402±1–1800 UTC on January 15, 2022. Atmospheric forcing lasted much longer than rupturing from large earthquakes recorded on modern instruments, producing a type of shock wave that originated from the interaction between compressed air and ambient (wavy) sea surface. This scenario differs from conventional ideas of earthquake slip, landslides, or caldera collapse-generated tsunami waves because of the enormous (~1000x) volumetric change due to the supercritical nature of volatiles associated with the hot, volatile-rich phreatoplinian plume. The time series of plume altitude can be translated to volumetric discharge and mass flow rate. For an eruption duration of ~12 ?h, the eruptive volume and mass are estimated at 1.9 ?km3 and ~2 900 ?Tg, respectively, corresponding to a VEI of 5–6 for this event. The high frequency and intensity of lightning was enhanced by the production of fine ash due to magma—seawater interaction with concomitant high charge per unit mass and the high pre-eruptive concentration of dissolved volatiles. Analysis of lightning flash frequencies provides a rapid metric for plume activity and eruption magnitude. Many aspects of this eruption await further investigation by multidisciplinary teams. It represents a unique opportunity for fundamental research regarding the complex, non-linear behavior of high energetic volcanic eruptions and attendant phenomena, with critical implications for hazard mitigation, volcano forecasting, and first-response efforts in future disasters. 相似文献
68.
To assess the post-earthquake seismic safety of buildings, it is crucial to predict seismic response, and it is necessary to set the appropriate physical parameters of the response analysis model. Numerous methods have been proposed to identify physical parameters. However, most of them are limited to linear systems, and previous researches on nonlinear systems have difficulties in practical applications. In this paper, a nonlinear response analysis model is identified for a full-scale ten-story reinforced concrete building with the degrading tri-linear stiffness model by the modal iterative error correction (MIEC) method, and the accuracy of this technique is discussed by comparing with the shaking table test. 相似文献
69.
70.