1. 贵州省气候中心,贵州,贵阳,550002
2. 贵州省山地气候与资源重点实验室,贵州,贵阳,550002
3. 贵州省地质环境监测院,贵州,贵阳,550004
纸质出版:2018
移动端阅览
李忠燕, 田其博, 张东海, 等. 遵义市不同地质灾害易发区滑坡临界雨量研究[J]. 水土保持通报, 2018,38(6):217-223.
LI Zhongyan, TIAN Qibo, ZHANG Donghai, et al. Critical Rainfall of Landslides at Zunyi City in Different Geological Hazard Prone Regions[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 217-223.
李忠燕, 田其博, 张东海, 等. 遵义市不同地质灾害易发区滑坡临界雨量研究[J]. 水土保持通报, 2018,38(6):217-223. DOI: 10.13961/j.cnki.stbctb.2018.06.034.
LI Zhongyan, TIAN Qibo, ZHANG Donghai, et al. Critical Rainfall of Landslides at Zunyi City in Different Geological Hazard Prone Regions[J]. Bulletin of Soiland Water Conservation, 2018, 38(6): 217-223. DOI: 10.13961/j.cnki.stbctb.2018.06.034.
[目的] 确定遵义市不同地质灾害易发区的滑坡临界雨量,建立阈值模型并对其进行检验评估,为该地区滑坡预测提供科学依据。[方法] 利用遵义市2010—2016年59次滑坡事件对应的逐小时降雨资料,采用统计方法对不同地质灾害易发区的滑坡临界雨量的历时、降雨类型对比分析,建立阈值模型并对其进行检验评估。[结果] 中锋型是主要的降雨类型;大于10和20 mm/h强降雨基本来自滑坡发生当天,但中易区降雨历时均长于高易区的降雨历时。对于高易区来说,滑坡当日1 h最大雨量与前期3 d的有效雨量组合的阈值模型预报准确率最大,因此将滑坡当天1 h最大雨量作为高易区滑坡发生的激发雨量。而对于中易区来说,滑坡当天3 h最大雨量是其滑坡发生的激发雨量。[结论] 不同等级地质灾害易发区其滑坡临界雨量不同。对已经确定的滑坡阈值模型需根据新增滑坡信息进行检验评估,如果预测模型对新增滑坡预测不准确,需调整其滑坡判别线,从而对阈值模型进行订正。
[Objective] The objectives of this study were to determine the critical rainfall of landslide and establish the threshold model of landslide in different geological hazard prone areas of Zunyi City in order to provide scientific basis for landslide prediction in this area.[Method] Hourly precipitation data from 2010 to 2016 were collected from automatic meteorological stations according to 59 landslides of Zunyi City in the Northern Guizhou Province. According to the duration and type of rainfall
the landslide were classified by using statistical analysis in different geological regions and the prediction model of threshold was established and assessed.[Results] Heavy rainfall of more than 10 mm/h and 20 mm/h generally occurred on the day of landsliding
but the duration of rainfall in the middle susceptible area was longer than in the high susceptible area. The uniform pattern of rainfall is the main pattern. For the the high susceptible area
the forecasting accuracy of the threshold model was the best using the parameters the maximum rainfall of 1 hour during the landsliding day and the cumulative rainfall of two days before the landsliding day. Therefore
the maximum rainfall of 1 hour during the landslidubg day was the triggering rainfall. For the middle susceptible area
the forecasting accuracy of the threshold model was the best using the parameters of the maximum rainfall of 3 hours during the landsliding day and the cumulative rainfall of the landsliding day. Therefore
the maximum rainfall of 3 hours was the triggering rainfall.[Conclusion] The critical rainfall of landslide varied among different geological regions. According to the new landslide information
the identified critical rainfall forecasting model is tested and evaluated. If the forecasting model is inaccurate for the new landslide
the landslide discriminant line must be adjusted so that the adjusted prediction model accurately predicts the landslide.
章国材.自然灾害风险评估与区划原理和方法[M].北京:气象出版社,2014:56-60.
李忠燕,田其博,章国材,等.铜仁地区滑坡临界雨量研究[J].气象科技,2016,44(4):680-685.
赵衡,宋二祥.诱发区域性滑坡的降雨阈值[J].吉林大学学报:地球科学版,2011,5(41):1481-1487.
Guzztti F, Peruccacci S, Rossi M. Risk-advanced weather prediction system to advise on risk events and management:Definition of critical threshold for different scenarios[R]. Action, 2005,1(16):28-30.
Wilson R C, Wieczorek G F. Rainfall thresholds for the initiation of debris flow at La Honda, California[J]. Environmental & Engineering Geoscience, 1995,1(1):11-27.
Crosta G B, Frattini P. Distrtbuted modelling of shallow landslides triggered by intense rainfall[J]. Natural Hazards and Earth System Sciences, 2003,3(1/2):81-93.
Glade T, Crozier M J, Smith P. Applying probability determination to refine landslide-triggering rainfall thresholds using an empirical "Antecedent Daily Rainfall Model"[J]. Pure and Applied Geo-physics, 2000,157(6/8):1059-1079.
Guzztti F, Peruccacci S, Rossi M, et al. Rainfall thresholds for the initiation of landslides in central and southern Europe[J]. Meteorology and Atmospheric Physics, 2007,98(3/4):239-267.
Guzztti F, Peruccacci S, Rossi M, et al. The rainfall intensity duration control of shallow landslides and debris flows:An update[J]. Landslides, 2008,5(1):3-17.
Iverson R M. Landslide triggering by rain infiltration[J]. Water Resource Research, 2000,36(7):1897-1910.
陈洪凯,魏来,谭玲.降雨型滑坡经验性降水阈值研究综述.重庆交通大学学报:自然科学版[J].2012,31(5):990-996.
刘海知,马振峰,范广洲.四川省典型区域滑坡泥石流与降水的关系[J].水土保持通报,2016,36(6):73-77.
费晓燕,柳锦宝,屈伯强,等.四川省降雨诱发滑坡灾害的气象预警模型[J].水土保持通报,2017,37(5):315-321,327.
刘海知,马振峰,范广洲.四川省典型区域滑坡、泥石流致灾临界雨量阈值确定方法[J].水土保持通报,2017,37(4):126-131,224.
李秀珍,张小红.基于Mein-Larson入渗模型的降雨滑坡失稳破坏概率研究[J].水土保持通报,2017,37(1):219-223.
崔鹏,杨坤,陈杰.前期降雨对泥石流形成的贡献:以蒋家沟泥石流形成为例[J].中国水土保持科学,2003,1(1):11-15.
戴丛蕊,黄玮,李蒙,等.云南降雨型滑坡县级预警雨量阈值分析[J].气象科技,2015,43(4):675-680.
丁继新,杨志法,尚彦军,等.降雨型滑坡时空预报新方法[J].中国科学(D辑):地球科学,2006,36(6):579-586.
李云君,刘志红,吕远洋,等.四川省滑坡灾害气象预警模型建立与验证[J].地球信息科学学报,2017,19(7):941-949.
Tsai Tunglin. The influence of rainfall pattern on shallow land-slide[J]. Environmental Geology, 2007,53(7):1563-1569.
Lima J L M P de, Singh V P. The influence of rainfall pattern of moving rainstorms on overland flow.[J]. Advances in Water Resources, 2002,25(7):817-828.
0
浏览量
990
下载量
2
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621