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101.
Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management 总被引:1,自引:0,他引:1
Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70%landslide pixels)and validation data(30%landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20%interval of landslide occurrence probability contained 89%of the historical landslides but only accounted for 10.3%of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices. 相似文献
102.
利用多普勒天气雷达探测资料,结合常规气象观测资料和天气实况及灾情调查,对2018年8月14日台风“摩羯”(1814)和8月19日台风“温比亚”(1818)产生龙卷的环境物理量及龙卷风暴强度结构特征进行了分析,对诱发龙卷和未诱发龙卷的小尺度气旋性涡旋特征进行了对比。结果表明:两次台风减弱低压东北象限是龙卷发生的关键区,低层高湿,强的低层垂直风切变和大的相对风暴螺旋度是关键物理量;龙卷出现时都伴有ΔV>20.0 m·s-1的小尺度气旋性涡旋,且基本出现在2.0 km高度以下,但并不是所有这种低层小尺度气旋性涡旋都能诱发龙卷;以ΔV>20.0 m·s-1为阈值,龙卷识别具有较高的命中率,识别准确率为31.8%,空报率为67.4%,漏报率为6.7%;约35.7%的龙卷没有识别时间提前量,半数龙卷几乎没有预警时间提前量。 相似文献
103.
研究分析了静海地磁台2002~2006年观测资料的加卸载响应比异常与邻区ML 4.0以上地震之间的关系,提出了适用于静海地磁台的地震分析预报异常形态特征和阈值判据. 相似文献
104.
Study on inelastic displacement ratio spectra for near-fault pulse-type ground motions 总被引:3,自引:1,他引:2
In displacement-based seismic design, inelastic displacement ratio spectra (IDRS) are particularly useful for estimating the maximum lateral inelastic displacement demand of a nonlinear SDOF system from the maximum elastic displacement demand of its counterpart linear elastic SDOF system. In this study, the characteristics of IDRS for near-fault pulse-type ground motions are investigated based on a great number of earthquake ground motions. The in? uence of site conditions, ratio of peak ground velocity (PGV) to peak ground acceleration (PGA), the PGV, and the maximum incremental velocity (MIV) on IDRS are also evaluated. The results indicate that the effect of near-fault ground motions on IDRS are signifi cant only at periods between 0.2 s - 1.5 s, where the amplifi cation can approach 20%. The PGV/PGA ratio has the most signifi cant in? uence on IDRS among the parameters considered. It is also found that site conditions only slightly affect the IDRS. 相似文献
105.
基于Aki和Chouet的地方震尾波单次散射模型,利用思茅台记录到的2007年云南宁洱6.4地震余震的数字化波形观测资料,测量了震源区尾波Qc(f)值。当中心频率为1.5Hz时,宁洱地区的尾波Qc值在51~147之间,平均值为79,尾波的振幅衰减率βc(f)在0.014~0.039之间,平均值为0.028;测量得到该地区尾波Qc值与频率f的关系为Qc(f)=53f0.88;尾波波源因子与震级成正比关系,满足关系lgA0=1.51ML-0.94;测量结果显示宁洱地震余震序列的尾波值Qc较低,表明宁洱震源区属于构造运动较为活跃区。 相似文献
106.
用H/V谱比法计算云南区域数字地震台站的场地响应 总被引:1,自引:0,他引:1
用H/V谱比法,计算给出了云南区域数字地震台网23个子台S波随频率变化的台站场地响应特征。结果表明:在1~10Hz频段内,23个子台S波的场地响应相对较平坦,在1.41~2.91之间变化,平均2.08;在大于10Hz的高频段,部分台站的场地响应有较明显的放大。 相似文献
107.
文中从多台计算波速比方法的原理入手,对不同公式计算的波速比差异进行了深入分析,认为在原理一致的条件下,波速比差异主要与拟合过程中自变量的选取及2组数据的相关系数有关。利用2002年1月至2005年7月山东省境内及江苏省北部共52个数字及模拟台站的地方震P波和S波到时资料,选取有4个以上记录台站的地震。整个研究区域的平均波速比为1.716,反映了这个地区的波速比相对于华北其他地区偏高。将研究区域划分为1°×2°的单元,并剔除距离震中过远的台站,以保证区域特征能得到反映。通过对比不同单元的平均波速比发现,34°~37°,115°~119°的平均波速比明显高于其他单元,而它们正好分布在郯庐断裂的两侧,应该与该地区上地壳的岩石性质及震源深度分布范围较宽导致的平均效应有关 相似文献
108.
根据流动台网对九江-瑞昌地震序列的定位结果,采用单台波速比方法,计算各流动台的波速比变化,得出以下结果:①各台波速比存在一定幅度的变化,但变化形态不一致,这可能与震源区应力调整有关:九江台和武蛟台的波速比在2006年4月下中旬至6月中旬这段时间较明显处于低值区间,相应的主余震的M-T图显示余震活动在该段时间内强度和频度有较明显的增强.②沿以武蛟和狮子洞两台连线的NW走向的波速比最小,结合主-余震北西向较优势分布和震源机制解的其中一组NW向节面,推断北西向断裂可能是九江-瑞昌5.7级主震的发震构造. 相似文献
109.
110.
The liquefaction resistance of the soils used to be estimated through the in situ tests, such as standard penetration test and cone penetration test; or by means of cyclic triaxial test in laboratory. However, both in situ tests and cyclic triaxial test are time-consuming and costly; this study introduces a quick and cost-effective method to evaluate the liquefaction resistance of soils under certain confining pressure in laboratory. A particular device modified from the conventional triaxial compression test apparatus, namely “Triaxial Cone Penetration Test”, was developed to obtain the peak values of cone resistance in soils so as to correlate the liquefaction resistance of the reclaimed soils evaluated by cyclic triaxial tests. The test result indicates a good correlation between the peak value of cone resistance and the corresponding cyclic stress ratio (CSR) at the state of initial liquefaction, in which the correlation for loose samples is better than that for dense samples. Besides, both peak values of cone resistance and corresponding CSR increase with fine content of soils reaches 10% and decreased with fine content varying between 10% and 50%. By examining the compositions of the soils with scanning electron microscopy and X-ray diffraction, it is found that the proportion and characteristics of the fines plays an important role on the liquefaction resistance of the reclaimed soils. 相似文献