1.西南石油大学土木工程与测绘学院,四川 成都 610500
2.地质灾害防治与地质环境保护国家重点实验室,四川 成都 610059
3.中铁二院工程集团有限责任公司,四川 成都 610031
邱恩喜(1981—),男,副教授,博士后。主要从事地质灾害方面研究。E‑mail: enxiqiu@163.com
孙希望(1976—),男,正高级工程师,硕士。主要从事路基工程方面研究。E‑mail: sxwdhj@163.com
收稿:2022-06-16,
修回:2022-09-06,
纸质出版:2023-10-15
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邱恩喜,王彬,孙希望等.四川甘洛自勒沟泥石流运动特征及预测防治效果研究[J].防灾减灾工程学报,2023,43(05):934-945.
QIU Enxi,WANG Bin,SUN Xiwang,et al.Study on the Movement Characteristics and Predicted Prevention Effect of Debris Flow in Zile Valley, Ganluo, Sichuan[J].Journal of Disaster Prevention and Mitigation Engineering,2023,43(05):934-945.
邱恩喜,王彬,孙希望等.四川甘洛自勒沟泥石流运动特征及预测防治效果研究[J].防灾减灾工程学报,2023,43(05):934-945. DOI: 10.13409/j.cnki.jdpme.20220616003.
QIU Enxi,WANG Bin,SUN Xiwang,et al.Study on the Movement Characteristics and Predicted Prevention Effect of Debris Flow in Zile Valley, Ganluo, Sichuan[J].Journal of Disaster Prevention and Mitigation Engineering,2023,43(05):934-945. DOI: 10.13409/j.cnki.jdpme.20220616003.
甘洛县位于四川省西南部,所处区域高山峡谷地貌特征显著,地质构造运动强烈且为强震影响区,泥石流灾害频发。甘洛县自勒沟分别于1987年和2019年发生两次特大泥石流,大量泥石流堆积物顺沟而下,堵塞245国道和尼日河,并对沟口凉红水电站及尼日河河岸成昆铁路造成严重威胁。对此,基于现场调查资料和无人机航拍数据,利用Massflow数值模拟方法,对该沟泥石流运动特征进行分析以及治理措施防治效果进行预测。结果表明:若沟内现有物源再次爆发泥石流,最大泥深将达到11.9 m,流速达到11.7 m/s,流动强度达到123.37 m
2
/s,堆积物一次冲出量为11.18×10
4
m
3
,堆积扇面积为6.925×10
4
m
2
。根据预测结果,采用合理的工程措施进行治理后,最大泥深下降为8.5 m,流速下降为9.1 m/s,而流动强度可下降52.7%,为58.32 m
2
/s,堆积扇面积和一次冲出量分别为1.406×10
4
m
2
和2.75×10
4
m
3
,分别下降80%和75%。这表明,采用固源为主,拦挡、排导为辅的措施对自勒沟泥石流灾害进行治理,可取得较好治理效果,对保护沟口建筑及成昆铁路安全运营有重要意义。
Ganluo County is located in the southwestern part of Sichuan Province, China. This area exhibits significant geomorphic characteristics of high mountains and valleys, experiences strong geological tectonic movement, strong earthquake affected area and frequent debris flow disasters. The debris flows occur frequently because of the strong geological tectonic movements and earthquakes. Two large-scale debris flows occurred in Zile Valley of Ganluo County in 1987 and 2019, a large amount of debris flow deposits flowed down the valley, blocking the G245 national road and the Niri River, posing a serious threat to the Liang Hong hydropower station at the mouth of the valley and the Chengdu-Kunming Railway on the left bank of the Niri River. In response to this, based on field survey data and UAV aerial photography, the Massflow numerical simulation method was used to analyze the movement characteristics and predicted prevention effect of debris flow in Zile Valley. The results show that if the debris flow breaks out in the valley again based on the existing sources, the maximum mud depth will reach to 11.9 m, the maximum mud velocity will reach to 11.7 m/s. The flow intensity will reach to 123.37 m
2
/s. The total volume of material flushed out is 11.18×10
4
m
3
, and the accumulation fan area is 6.925×10
4
m
2
. According to the prediction, after adopting reasonable engineering measures, the maximum mud depth is reduced to 8.5 m, the flow intensity is reduced by 52.7% to 58.32 m
2
/s, the accumulation fan area is reduced by 80% to 1.406×10
4
m
2
, and the total volume of material flushed out is reduced by 75% to 2.75×10
4
m
3
. This shows that the measures to manage the debris flow disaster in Zile Valley, which are mainly based on braced source and supplemented by blockage and drainage, can achieve better management effect and have great significance to protect the gully construction and safe operation of Chengdu-Kunming railway.
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