Observations and modelling of the travel time delay and leading negative phase of the 16 September 2015 Illapel,Chile tsunami

The systematic discrepancies in both tsunami arrival time and leading negative phase (LNP) were identified for the recent transoceanic tsunami on 16 September 2015 in Illapel, Chile by examining the wave characteristics from the tsunami records at 21 Deep-ocean Assessment and Reporting of Tsunami (DART) sites and 29 coastal tide gauge stations. The results revealed systematic travel time delay of as much as 22 min (approximately 1.7％ of the total travel time) relative to the simulated long waves from the 2015 Chilean tsunami. The delay discrepancy was found to increase with travel time. It was difficult to identify the LNP from the near-shore observation system due to the strong background noise, but the initial negative phase feature became more obvious as the tsunami propagated away from the source area in the deep ocean. We determined that the LNP for the Chilean tsunami had an average duration of 33 min, which was close to the dominant period of the tsunami source. Most of the amplitude ratios to the first elevation phase were approximately 40％, with the largest equivalent to the first positive phase amplitude. We performed numerical analyses by applying the corrected long wave model, which accounted for the effects of seawater density stratification due to compressibility, self-attraction and loading (SAL) of the earth, and wave dispersion compared with observed tsunami waveforms. We attempted to accurately calculate the arrival time and LNP, and to understand how much of a role the physical mechanism played in the discrepancies for the moderate transoceanic tsunami event. The mainly focus of the study is to quantitatively evaluate the contribution of each secondary physical effect to the systematic discrepancies using the corrected shallow water model. Taking all of these effects into consideration, our results demonstrated good agreement between the observed and simulated waveforms. We can conclude that the corrected shallow water model can reduce the tsunami propagation speed and reproduce the LNP, which is observed for tsunamis that have propagated over long distances frequently. The travel time delay between the observed and corrected simulated waveforms is reduced to <8 min and the amplitude discrepancy between them was also markedly diminished. The incorporated effects amounted to approximately 78％ of the travel time delay correction, with seawater density stratification, SAL, and Boussinesq dispersion contributing approximately 39％, 21％, and 18％, respectively. The simulated results showed that the elastic loading and Boussinesq dispersion not only affected travel time but also changed the simulated waveforms for this event. In contrast, the seawater stratification only reduced the tsunami speed, whereas the earth's elasticity loading was responsible for LNP due to the depression of the seafloor surrounding additional tsunami loading at far-field stations. This study revealed that the traditional shallow water model has inherent defects in estimating tsunami arrival, and the leading negative phase of a tsunami is a typical recognizable feature of a moderately strong transoceanic tsunami. These results also support previous theory and can help to explain the observed discrepancies.     

基于GPS非差技术近实时获取对流层延迟

本文提出一种近实时获取高精度对流层延迟(Zenith Tropospheric Delay,ZTD)的方法。该方法基于全球GPS参考站网络的非差观测值数据和IGU预报产品(卫星轨道和ERP),使用GPS非差技术和卡尔曼滤波近实时估计各参考站的高精度ZTD。将该方法应用于香港GPS参考站网得到的ZTD与基于事后技术计算的ZTD进行比较后发现,两者的平均偏差均优于5mm,RMS均优于6mm。     

试论未来极端气候事件发展趋势的不确定性

极端气候事件是在一定时间尺度上发生的不同于气候系统平均状态的气候突变.早第三纪的最热事件（PETM）,第四纪中国黄土高原古土壤S4、S5记录的暖湿事件,砂黄土L9、L15记录的干冷事件等都是在轨道时间尺度上发生的极端气候事件.末次冰消期的YD冷事件、全新世9次冷事件是在千—百年尺度上发生的极端气候事件.这些极端气候事件出现于地球气候系统不同的冷暖背景下,它们的成因机制和表现形式有很多不确定性.20世纪以来发生的干旱、洪水、飓风、雪灾、沙尘暴等极端气候事件,无法用持续增加的温室气体的变化来解释.关于极端气候事件发生频率和强度随＂全球变暖＂而增加的结论也存在一定程度的不确定性.因此,简单地将现代极端气候事件统统归因于＂气候变暖＂既不科学也不合理.深入研究各个时间尺度上发生的极端气候事件的波动性、周期性和不确定性特征,有助于科学预测未来气候变化背景下极端气候事件的发展趋势.     

水流注入方式和填料层高度对人工湿地流态的影响

流态模拟实验作为评价人工净化湿地系统运行状况、物质在其中停留时间的有效工具,在污水处理领域具有重要作用。罗丹明B背景浓度低、重现性好,被选为评价升流式、降流式和填料层高度对水力流态影响的示踪剂。实验使用罗丹明B和NaCl作为示踪剂,在湿地系统中进行流态实验,探究升流式、降流式和填料层高度对人工净化湿地流态的影响。实验结果表明,升流式人工湿地比降流式人工湿地处理效果好,示踪剂水力停留时间(hydraulic retention time,HRT)的体积利用率分别为82.0%和76.8%,升流式人工湿地无效体积中死区占更大比例,而降流式人工湿地滞留区占无效体积的比例更大;人工湿地填料层高度对示踪剂停留时间分布影响不大,体积利用率都在80%以上,但是,其死区和滞留区随着填料层高度的变化在无效体积中所占的比例有所差异,死区所占的比例随着填料层高度的增加先增加后减少,滞留区所占的比例则先减少后增加。     

Time and Practice: Learning to Become a Geographer

Abstract

Illustrated Dictionary of Place Names: United States and Canada. By Kelsie B. Harder. New York: Van Nostrand, 1976. Pp. xiv + 631, $18.95.

Middle America: Its Lands and Peoples. 2nd ed. By Robert C. West and John P. Augelli. Englewood Cliffs, N.J.: Prentice-Hall, 1976. Pp. xvii + 494, $14.95.

Contemporary Africa: Geography and Change. Edited by C. Gregory Knight and James L. Newman. Englewood Cliffs, N.J.: Prentice-Hall, 1976. Pp. xiv + 546, $14.95.

Atlas of Mexico. By Stanley A. Arbingast et al. 2nd ed. Austin, Tex.: Bureau of Business Research, University of Texas, 1975. Pp. ix + 165, $15.00.

Readings in Social Geography. Edited by Emrys Jones. London: Oxford University Press, 1975. Pp. 328, $18.50 and $6.95.

California: Patterns on the Land. 5th ed. By Robert Durrenberger and Robert Johnson. A California Council for Geographic Education Publication. Palo Alto, Calif.: Mayfield Publishing, 1976. Pp. viii + 134, $6.95.

Studying China in Elementary and Secondary Schools, Studying India in Elementary and Secondary Schools, and Studying Japan in Elementary and Secondary Schools. By Leonard S. Ken-worthy. World Affairs Guides. New York: Teachers College Press, 1975. Pp. 68, iii + 67, and iii + 65, $2.75 each.

World Regional Geography: A Question of Place. By Paul Ward English and James Andrew Miller. Harper &; Row Series in Geography. New York: Harper &; Row, 1977. Pp. xiii + 591, $15.95.

Census Data: Geographic Significance and Classroom Utility. Edited by Borden D. Dent. Tualatin, Oreg.: Geographic and Area Study Publications, 1976. Pp. ix + 277.

The Middle East: A Geographical Study. By Peter Beaumont, Gerald H. Blake, and Malcolm J. Wagstaff. London: John Wiley &; Sons, 1976. Pp. xvii + 572, $25.50 and $14.95.

Man's Economic Environment. By Edgar C. Conklingand Maurice Yeates. New York: McGraw-Hill Book Co., 1976. Pp. xi + 308, $11.95.

Applied Climatology: An Introduction. 2nd ed. By John F. Griffiths. New York/London: Oxford University Press, 1976. Pp. xiii + 136, $9.00.

Man and the Environment: Regional Perspectives. Edited by J. H. Holmes. Hawthorn, Victoria: Longman Australia Pty Limited, 1976. Pp. vi + 261, $7.95.

Introduction to Cultural Geography. 5th ed. By Henry M. Kendall, Robert M. Glendinning, Clifford H. MacFadden, and Craig H. MacFadden. New York: Harcourt Brace Jovanovich, 1976. Pp. xx + 449, $12.95.

Interpretation of Aerial Photographs. 3rd ed. By Thomas Eugene Avery. Minneapolis, Minn.: Burgess Publishing Company, 1977. Pp. xi + 392, $14.95.

Geography of the U.S.S.R. 3rd ed. By Paul Lydolph. New York: John Wiley &; Sons, 1977. Pp. xi + 495, $18.95.     

基于小波与R/S方法的汉江中下游流域降水量时间序列分析

基于汉江中下游流域9个国家气象站1961～2006年的降水数据,综合采用Morlet小波分析、小波分解和R/S分析方法,对流域降水量周期和未来趋势进行分析及预测。研究结果表明:汉江中下游流域年降水量存在5年左右的短周期和10～15年的中长周期;部分气象站可能存在40年左右长周期,需要更长的时间序列验证。基于通过小波分解提取的历史降水量变化趋势,进一步结合R/S分析表明,汉江中下游流域降水量时间序列总体上存在比较明显的赫斯特现象,未来该流域面临较大的防洪压力。     

模糊时间序列模型在短期气候预测中的应用

将模糊时间序列模型引入短期气候预报,利用重庆34个地面气象观测站的逐日观测资料(1971—2007年)和重庆市旱涝灾害监测预警决策服务系统计算的干旱指数和洪涝指数等资料,运用模糊时间序列模型分别对2001—2007年重庆市城口县1月降水、1月平均气温的预报结果(年度预测)和重庆市春旱指数的预报结果(年度预测)进行了模糊时间序列分析,预测了2004—2007年的发展趋势,用2004—2007年实测值与预测结果进行了比较,并与加权集成、人工神经网络集成、数据挖掘集成等模型进行了精度比较和分析.结果表明:模糊时间序列模型各项精度评定指标优良,并且计算简单,具有一定的实用价值.     

日本Mw9.0地震前GRACE卫星重力变化

利用GRACE重力卫星月重力场数据,通过去相关与高斯滤波等方法获取日本大地震震前震源区周缘年度、季度和年度差分重力变化,以及若干点位时间序列重力变化;分析结果表明:日本大地震前5年内在震源区周边出现了比较明显的卫星重力异常正负交替和迁移现象,至震前1－2年,震区周边形成了明显正负异常区,正重力异常区重力增加现象明显;点位重力时间序列分布指出了日本MW9.0级地震前存在与1976年唐山地震类似的重力变化现象。这些结果反映了日本大地震震前震源区周边地下物质运动、质量迁移和能量积累等问题,为研究该地震的孕育过程提供了证据。     

时间序列InSAR技术中的形变模型研究

时间序列InSAR技术,包括PS-InSAR技术和小基线集InSAR技术, 能有效克服传统D-InSAR的失相干限制, 逐步成为形变测量中的实用化技术。但是, 现有时间序列InSAR技术主要采用线性函数对真实形变进行模拟, 在真实形变呈现强烈的非线性时, 这种处理将不能得到正确的形变结果。本文就时间序列InSAR的形变模型问题展开研究, 首先从干涉相位模型解算的方法入手, 深入分析了线性形变模型的不足, 当干涉点目标的密度不够并且真实形变的非线性较强时, 干涉相位方程的解将会发散。根据魏尔斯特拉斯逼近定理, 提出以高阶多项式取代线性形变模型, 并给出了基于多项式形变模型的干涉相位方程解算方法。 利用太原市2003-2009年的23景ENVISAT ASAR影像, 分别采用线性形变模型和三次多项式形变模型, 利用小基线集技术进行了形变反演。将这两种方法得到的结果分别与水准测量结果进行了比较。结果表明, 采用多项式形变模型不仅能取得更高的形变测量精度,而且能提高点目标的密度。由于高阶多项式总能比低阶多项式更准确地拟合连续函数, 因此本文提出的多项式形变模型在时间序列InSAR形变监测中具有广泛的应用价值。     

基于时间序列分析和灰色理论的建筑物沉降预测模型研究

基于时间序列分析方法建立建筑物沉降预测模型,其中通过二次移动平均法提取出沉降监测序列中的趋势项,并在此基础上采用灰色系统理论动态GM（1,1）模型进行趋势项预测。实际算例结果表明,该模型能够较好地预测沉降变化的发展趋势,并具有较高的预测精度,证明了该预测模型具有一定的可行性和有效性。