Dynamic Analysis on Rainfall-Induced Landslide Activity in High Seismic Intensity Areas of the Wenchuan Earthquake Using Remote Sensing Image
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摘要: 强烈地震作用对山地斜坡稳定性影响是长期的,汶川地震不仅直接诱发了大量滑坡,而且在后继的强降雨过程中大大加速了震区滑坡的活动性.以汶川地震高烈度区的北川县城及湔江河谷为研究区,利用高精度航空图像解译出1 214处不同类型的滑坡.地震后的2008年9月24日暴雨过程诱发了更多的滑坡和泥石流, 这场20年一遇的强降雨的累积雨量为272.7 mm.基于SPOT 5遥感影像解译,共发现新增的暴雨滑坡823处.根据“9·24”暴雨前后的遥感解译结果对比,研究区暴雨诱发的滑坡数量增加了68%,滑坡面积扩大了46.6%,这种现象表明强震后暴雨对滑坡发育和活动影响十分明显.研究结果也说明汶川震区在强降雨作用下极易发生滑坡和泥石流.Abstract: A catastrophic earthquake always intensively disturbs ground strata and affects the slope stability for a long period of time. The Wenchuan earthquake not only triggered serious coseismic landslides, but also extensively accelerated the landslide activity during the subsequent heavy rains. Based on the interpretation of high resolution of aerial photographs, 1 214 landslides are identified, most of which are shallow landslides, rock falls, and rock slides triggered in the high seismic intensity region of the Wenchuan earthquake near the Beichuan City and along the valleys of the Jianjiang River. A heavy rainfall on 24 September, 2008 triggered more landslides and debris flows in the central part of the area affected by the Wenchuan earthquake. The accumulated precipitation triggering landslides and debris flows is 272.7 mm in two days, while the rainfall amount and intensity recorded in this area have a return period of about 20 years. 878 new landslides in the study area of 340 km2 are identified by interpretation of SPOT images. To understand the impact of the Wenchuan earthquake on the landslide occurrence due to subsequent heavy rainfall, this study mainly focuses on the variations in the the density of coseismic landslides and following rainfall-induced landslides through aerial photographs and SPOT images. Comparison of aerial photographs taken on 18 May, 2008 (after the "5·12" Wenchuan earthquake) and SPOT images taken on 14 October, 2008 (after "9·24" rainstorm event) indicates that the landslide number in the study area increases by 42%, while landslide area increases by 46.6%, which shows the great impact of the heavy rainfall after the earthquake on the development and activity of landslides in the study area. The above study results also show that the Wenchuan earthquake affected area is particularly susceptible to landslides and debris flow occurrence after extreme rainfall events.
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Key words:
- Wenchuan earthquake /
- landslide activity /
- remote sensing image /
- heavy rainfall /
- intepretation
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表 1 汶川地震高烈度区暴雨滑坡活动的遥感解译结果
Table 1. Interpretation results of landslide activity in high seismic intensity areas of the Wenchuan earthquake using remote sensing images
滑坡面积分段(m 2) 唐家山-北川县城研究片区 陈家坝研究片区 擂鼓镇研究片区 “5·12”地震诱发滑坡 “9·24”暴雨诱发滑坡 “5·12”地震诱发滑坡 “9·24”暴雨诱发滑坡 “5·12”地震诱发滑坡 “9·24”暴雨诱发滑坡 个数 面积(10 4 m 2) 个数 面积(10 4 m 2) 个数 面积(10 4 m 2) 个数 面积(10 4 m 2) 个数 面积(10 4 m 2) 个数 面积(10 4 m 2) <1 000 35 2.0 10 0.5 119 7.6 70 4.7 10 0.6 5 0.4 1 000~2 000 54 7.6 29 4.7 114 16.5 125 18.4 19 2.8 24 3.8 2 000~5 000 56 19.5 65 22.1 148 47.5 151 48.6 56 19.5 41 12.7 5 000~10 000 69 50.9 58 40.7 92 64.9 66 46.9 55 39.4 29 19.8 10 000~20 000 73 104.5 41 55.6 54 73.9 31 45.9 34 50.8 7 8.9 20 000~50 000 66 208.3 25 66.7 30 89.8 33 101.7 36 124.4 0 0.0 >50 000 60 717.3 3 19.2 20 265.5 10 95.7 14 168.8 0 0.0 合计 413 1 110.1 231 209.5 577 565.8 486 361.9 224 406.4 106 45.7 表 2 遥感解译结果与现场调查对比验证
Table 2. Comparison and verification for the results of RS intepretation and site investigation
滑坡编号 现场调查(m 2) 遥感解译(m 2) 误差(m 2) 误差百分比(%) 1 450 512 62 12.1 2 456 550 94 17.1 3 480 475 -5 -1.0 4 500 547 47 8.5 5 558 562 4 0.8 6 600 581 -19 -3.2 7 700 679 -21 -3.1 8 750 824 74 9.0 9 875 858 -17 -2.0 10 900 901 1 0.1 11 1 000 1 027 27 2.6 12 1 166 1 056 -110 -10.4 13 1 200 1 354 154 11.4 14 1 300 1 382 82 6.0 15 1 350 1 411 61 4.3 16 1 550 1 468 -82 -5.6 17 1 800 2 101 301 14.3 18 2 475 2 273 -202 -8.9 19 3 380 3 752 372 9.9 20 3 900 4 233 333 7.9 21 5 250 5 749 499 8.7 22 5 600 5 988 388 6.5 23 6 776 7 321 545 7.4 24 8 500 8 478 -22 -0.3 25 11 900 10 946 -954 -8.7 26 12 000 24 522 12 522 51.1 27 14 300 32 516 18 216 56.0 -
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