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通过地形坡度估计四川省场地类别研究

发布时间:2019-01-04 10:47
【摘要】:本文描述一种直接利用地形数据估计区域性场地类别的方法,地形坡度法。我们采用SRTM30 DEM数字地形高程模型计算地形坡度,收集整理了四川省范围内近800个实测钻孔资料,计算或外推了四川省653个钻孔的(?)_s(30)值(地表至地下30m的平均剪切波速);将四川省划分成四川西南和四川盆地2个统计分区,分别统计建立了地形坡度与(?)_s(30)的相关关系,推导获得了缺少实测钻孔地区的(?)_s(30)分布;最后根据美国NEHRP规范的场地分类方法,获得了四川省场地类别划分图。文中对收集到的深度超过30m的268个实测钻孔数据进行统计分析,建立了适合于四川省新的(?)_s(30)对数外推关系,并与Boore (2004)的关系进行对比分析。结果表明,(?)_s(30)的外推关系具有区域性特征,本文的结果更适合四川省。依据653个钻孔的(?)_s(30)值和相应的坡度值(GMT/ArcGIS两种算法计算地形坡度,最大坡度值/平均坡度值),建立了四川省(四川西南和四川盆地)新的坡度与(?)_s(30)的相关关系,并与Wald (2007)的关系进行了对比分析;同时对两种关系在四川省内的应用结果进行了对比研究。结果表明,(1)依据四川省内实测钻孔数据获得本文的坡度与(?)_s(30)关系是对Wald (2007)关系在四川地区应用的一种修正;(2) Wald (2007)关系应用于四川省,将导致场地分类整体偏硬。(3)通过对四川省内特征地区场地条件的分析,说明了本文场地类别划分结果基本可以反映出四川省的场地条件;(4) GMT和ArcGIS坡度算法估计的各类场地宏观分布基本一致,但针对较软的场地时(主要位于四川西南部)存在一定差异。最后,本文以1:50万数字地质图获得了四川省场地分类,并与本文结果进行宏观对比分析,简单说明了本文的场地分类结果基本可靠。本文建立的(?)_s(30)对数外推关系为利用大量的不足30m的钻孔资料估计(?)_s(30)值提供了参考;建立的坡度与(?)_s(30)的相关关系为利用容易获得的地形数据推测不容易获得的(?)_s(30)分布的研究提供了参考;本文的四川省场地分类结果基本可以反映四川省区域性场地条件,研究结果基本可靠,具有一定的实用价值。
[Abstract]:This paper describes a method of estimating regional site types directly from topographic data, the topographic slope method. We use the SRTM30 DEM digital topographic elevation model to calculate the slope of the terrain, and collect and organize the data of nearly 800 boreholes measured in Sichuan Province. The values of (?) s (30) of 653 boreholes in Sichuan Province (average shear wave velocity from surface to underground 30 m) have been calculated or extrapolated. Sichuan Province is divided into two statistical zones: southwest Sichuan and Sichuan Basin. The correlation between terrain slope and (?) _ s _ (30) is established respectively, and the distribution of (?) s _ (30) in the area lacking of borehole is derived. Finally, according to the site classification method of NEHRP Code, the site classification map of Sichuan Province is obtained. Based on the statistical analysis of 268 borehole data collected in depth over 30m, a new logarithmic extrapolation relation suitable for Sichuan Province (?) s (30) is established, and the relation with Boore (2004) is compared and analyzed. The results show that the extrapolation of (?) s (30) has regional characteristics, and the results in this paper are more suitable for Sichuan Province. Based on the (?) _ s (30) value and the corresponding slope value (GMT/ArcGIS) of 653 boreholes, the topographic slope, the maximum slope value and the average slope value are calculated. The correlation between new slope and (?) s (30) and Wald (2007) in Sichuan Province (southwest Sichuan and Sichuan Basin) was established. At the same time, the application results of the two kinds of relations in Sichuan province are compared. The results are as follows: (1) the relationship between slope and (?) _ s _ s (30) obtained from borehole data measured in Sichuan Province is a correction to the application of Wald (2007) relation in Sichuan area; (2) the application of) Wald (2007 relationship in Sichuan Province will result in the overall rigid site classification. (3) based on the analysis of the site conditions in the characteristic areas of Sichuan Province, It shows that the result of site classification in this paper can basically reflect the site conditions in Sichuan Province. (4) the macroscopic distribution of all kinds of sites estimated by GMT and ArcGIS slope algorithms is basically the same, but there are some differences for the softer sites (mainly located in southwestern Sichuan). Finally, the site classification of Sichuan Province is obtained by using 1: 500 000 digital geological map, and the results are compared with the results in this paper. It is shown that the results of site classification in this paper are basically reliable. The logarithmic extrapolation relation established in this paper provides a reference for estimating the value of (?) s (30) using a large number of borehole data of less than 30 m. The relationship between slope and (?) s (30) provides a reference for the study of the distribution of (?) s (30), which is difficult to obtain by using the easily obtained topographic data. The results of site classification in this paper can basically reflect the regional site conditions in Sichuan Province, and the results of the research are basically reliable and of certain practical value.
【学位授予单位】:中国地震局地球物理研究所
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:P315.9;TU435

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