Characteristics of Debris Flow in the Red Bed Area of Western Sichuan: A Case Study of Wangjiapogou, Qunying Village, Dechang County
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摘要: 2022 年8 月23 日德昌县乐跃镇群英村王家坡沟暴发群发性泥石流灾害，导致群英村至太平村的乡道严重堵塞，乡道两侧的耕地及经济作物大面积受毁。为揭示此次群发性泥石流的发育规律，本文结合实地调查和遥感影像对王家坡泥石流的形成机制、动力学特征进行综合研究。研究结果表明：此次泥石流在短历时强降雨情况下，坡面入渗迅速形成地表径流聚集于沟道，水流沿程掏蚀、侧蚀沟道岸坡形成大量的沟道松散固体物质，泥石流规模呈放大趋势冲出沟口形成泥石流灾害。该泥石流沟松散堆积物动储量为1.21×104m3，主要分为沟道物源、崩滑物源、侵蚀物源3 种物源类型，其中沟道物源占比最大；最后计算了不同暴雨频率条件下泥石流的流量以及冲击力，为王家坡泥石流灾害防治提供可靠的数据和相应的防治措施。Abstract: On August 23, 2022, a mass debris flow demage occured in Qunying Village, Leyue Town, Dechang County, resulting in serious blockage of the village road from Qunying Village to Taiping Village, and ruination of large areas of arable cash crops on both sides of the road. In order to reveal the development law of the mass debris flow, the formation mechanism and dynamic characteristics of the debris flow in Wangjiapo were comprehensively studied by combining field investigation and remote sensing images. The research results show that in the short duration of heavy rainfall, the quickly formed surface runoff after the infiltration of water into the slope gathered in the gully, then the water along cut andside eroded the gully bank and slope and formed a large number of loose solid material, resulting debris flow damage after the rising large scale debris flow ran out of the gully mouth. The dynamic reserves of loose accumulation in the debris flow gully are 1.21×104m3, which can be divided into three provenances: gully provenances, landslide provenances and erosion provenances, among which gully provenances account for the largest proportion. Finally, the flow and impact force of debris flow under the condition of different rainstorm frequency are calculated to provide reliable data and corresponding prevention and control measures for debris flow demage prevention inWangjiapo Gully.
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Key words:
- debris flow /
- red layer /
- dynamic characteristics /
- Dechang County,Western Sichuan Province /
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[1] 白永健,铁永波,孟铭杰,熊小辉,高延超,葛华,巴仁基,徐伟.2022.川西地区地质灾害发育特征与时空分布规律[J].沉积与特提斯地质,42(4):666-674.
[2] 曹琛,刘威.2018.阿勒泰市克什喀拉苏沟泥石流形成条件及易发性评价[J].地下水,40(4):171-172.
[3] 符文熹,聂德新,任光明,陈海军.1997.中国泥石流发育分布特征研究[J].中国地质灾害与防治学报,8(4):40-44.
[4] 刘江龙.2009.中国东南部丹霞地貌形成机制及其地学效应研究[D].中南大学博士学位论文.
[5] 鲁科,余斌,韩林,谢洪.2011.泥石流流域岩性的坚固系数与暴发频率的关系[J].地球科学进展,26(9):980-990.
[6] 倪化勇.2016.泥石流发生雨型响应及其临界降雨条件[D].成都理工大学博士学位论文.
[7] 秦军,王一川.2006.成昆线红层地区泥石流沟侵蚀程度量化分析[J].中国铁道科学,27(2):1-5.
[8] 石建军,李保珠,李鹏,黄杰.2017.元谋大断裂对东山地区泥石流发育的控制作用[J].水土保持通报,37(4):58-62.
[9] 苏鹏程,韦方强,顾林康,倪化勇.2010.四川省德昌县群发性泥石流的特征和成因[J].山地学报,28(5):593-606.
[10] 铁永波,唐川,倪化勇.2010.群发性泥石流的危害效应及防范探讨[J].山地学报,28(6):753-757.
[11] 铁永波,葛华,高延超,白永健,徐伟,龚凌枫,王家柱,田凯,熊小辉,范文录,张宪政.2022.二十世纪以来西南地区地质灾害研究历程与展望[J]. 沉积与特提斯地质,42(4):653-665.
[12] 徐弘.1995.川西红层泥石流流域产沙评价模型研究[J].西南交通大学学报,30(6):620-626.
[13] 徐伟,铁永波,郑玄,殷万清,付小麟,欧文,白永健, Ireneusz Malik, MalgorzataWistuba. 2023a.凉山州地质灾害发育特征与时空分布规律[J/OL].沉积与特提斯地质,1-17.
[14] 徐伟,郑玄,欧文,铁永波,付小麟,宋钰朋,殷万清.2023b.四川凉山州地质灾害灾情特征与主要致灾类型[J/OL].中国地质灾害与防治学报,1-12.
[15] 许强,唐然.2023.红层及其地质灾害研究[J].岩石力学与工程学报,42(1):28-50.
[16] 余斌.2010.不同容重的泥石流淤积厚度计算方法研究[J].防灾减灾工程学报,30(2):207-211.
[17] 余斌,朱云波,刘秧.2017.坡面泥石流降雨预报模型[J].水科学进展,28(6):839-848.
[18] 张彦锋,铁永波,白永健.2019.川南红层地区泥石流形成过程与动力特征研究——以四川省屏山县牛儿包泥石流为例[J].地质灾害与环境保护,30(2):14-20.
[19] 祝恩珍,韩帅,孙萍,王刚.2019.甘肃天水地区渭河南岸大砂沟泥石流发育特征[J].现代地质,33(1):227-234.
[20] 朱渊,余斌,王涛,冯茵,亓星,朱云波,马敏.2014.四川省德昌县群发性泥石流形成机理及预测研究[J].科学技术与工程,14(21):32-39.
[21] 朱云波,余斌,王治兵,马敏,亓星,朱渊.2015.四川德昌茨达“8·24”群发性滑坡型泥石流之地形条件[J].山地学报,33(1):108-115.
[22] Li M T, Song H J, Wignall P B, She Z B, Dai X, Song H Y, Xiao Q. 2019. Early Triassic oceanic red beds coupled with deep sea oxidation in South Tethys[J]. Sedimentary Geology, 391: 105519.
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