[1]吴 杰,陈 冠*,孟兴民,等.白龙江流域滑坡降雨临界值[J].山地学报,2022,(6):875-886.[doi:10.16089/j.cnki.1008-2786.000720]
　WU Jie,CHEN Guan*,MENG Xingmin,et al.Rainfall Threshold of Landslides in the Bailong River Basin, China[J].Mountain Research,2022,(6):875-886.[doi:10.16089/j.cnki.1008-2786.000720]
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白龙江流域滑坡降雨临界值()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2022年第6期
页码:
875-886
栏目:
山地灾害
出版日期:
2022-11-25

文章信息/Info

Title:
Rainfall Threshold of Landslides in the Bailong River Basin, China
文章编号:
1008-2786-(2022)6-875-12
作者:
吴 杰1; 陈 冠1; 2; 3*; 孟兴民1; 2; 3; 黄逢春1; 赵英萍4
(1. 兰州大学 地质科学与矿产资源学院,兰州 730000; 2. 甘肃省环境地质与灾害防治技术创新中心,兰州 730000; 3. 甘肃省地质灾害野外科学观测研究站,兰州 730000; 4. 甘肃省甘南州迭部县自然资源局,甘肃 甘南 747000)
Author(s):
WU Jie1;  CHEN Guan1; 2; 3*;  MENG Xingmin1; 2; 3;  HUANG Fengchun1;  ZHAO Yingping4
(1. School of Earth Sciences, Lanzhou University, Lanzhou 730000, China; 2. Technology & Innovation Centre for Environmental Geology and Geohazards Prevention, Lanzhou 730000, China; 3. Gansu Geohazards Field Observation and Research Station, Lanzhou 730000, China; 4. Natural Resources Bureau of Diebu County, Gannan 747000, Gansu, China)
关键词:
TRMM;  滑坡;  降雨阈值;  气象预警;  白龙江流域
Keywords:
TRMM;  landslide;  rainfall threshold;  meteorological warning;  the Bailong River Basin
分类号:
P694
DOI:
10.16089/j.cnki.1008-2786.000720
文献标志码:
A
摘要:
白龙江流域是我国降雨型滑坡灾害最严重的区域之一,雨季灾害多发,严重威胁民众生命财产安全。通过研究滑坡和降雨的关系,可以更为准确地预测区域内的滑坡。本研究针对地面降雨观测数据稀缺的白龙江流域,基于滑坡编目和TRMM降雨数据,构建了基于最佳时间尺度及考虑前期雨量的I-D降雨阈值,并探讨不同岩性、降雨雨型及大型地震对阈值曲线的影响。结果表明:(1)基于近一次降雨事件的降雨阈值I=2.673D-0.730(3 h ≤D≤195 h),其具有较高的准确性和可信度,可用于短时连续降雨的滑坡预警,基于12 d累积降雨历时的阈值I=8.377D-0.878(3 h≤D≤288 h)可用于长历时间断降雨的滑坡预警。(2)岩性越坚硬的斜坡阈值越高,具有软弱夹层的斜坡更易形成滑坡; 大型地震会破坏地质环境背景,造成阈值曲线显著波动; 流域内滑坡产生主要受长历时中低强度降雨的驱动。研究结果表明通过卫星降雨数据构建滑坡降雨阈值具有可行性。本研究可为白龙江流域及类似数据稀缺地区滑坡的气象预警和风险防控提供参考。
Abstract:
The Bailong River Basin has one of the most severe rainfall-induced landslides in China. Geohazards occur frequently in rainy season, seriously threatening people's lives and property in the basin. It is quite necessary to determine the correlation between landslide occurrences and precipitation based on scarce ground-based rainfall data and remote sensing data for accuracy improvement on landslide predication in the basin. In this study, it collected landslide inventory of the Bailong River Basin and rainfall data from TRMM satellite from 2004 to 2019, and then an empirical I-D rainfall threshold was established on optimal time scale, with antecedent rainfall inclusive. The effects of lithology, rain types and earthquakes on the threshold curve were also discussed.
Following results were obtained.(1)The rainfall threshold I=2.673D0.730(3 h≤D≤195 h)based on the recent rainfall event had high accuracy and credibility, which could be used for landslide warning of short-term continuous rainfall. The threshold I=8.377D-0.878( 3 h≤D≤ 288 h)based on 12-day cumulative rainfall duration could be used for landslide warning of long-term intermittent rainfall.(2)The higher the rock strength was, the higher the slope threshold was, and the slope with weak interlayer was more prone to form landslide. The deterioration of geo-environment inflicted by large-scale earthquakes caused significant fluctuation of a threshold curve. Landslides in the basin were mainly driven by long-term moderate and low-intensity rainfall.
The results suggest that based on satellite rainfall data it is feasible to construct a rainfall threshold for landslides in an area with scarce ground rainfall observation data. This study provides a reference for meteorological early warning and risk management of landslides in the Bailong River Basin and similar areas where meteorological data are scarce.

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备注/Memo

备注/Memo:
收稿日期(Received date):2022-04-07; 改回日期(Accepted date):2022-12-30
基金项目(Foundation item): 甘肃省科技重大专项计划项目(19ZD2FA002); 第二次青藏高原综合科学考察研究专题(2021QZKK0201); 甘肃省重点研发计划项目(20YF8FA074)。 [Science and Technology Major Project of Gansu Province(19ZD2FA002); The Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(2021QZKK0201); Key Research and Development Program of Gansu Province(20YF8FA074)]
作者简介(Biography): 吴杰(1998-),男,陕西商洛人,硕士研究生,主要研究方向:环境遥感与地质灾害。[WU Jie(1998-), male, born in Shangluo, Shaanxi province, M.Sc. candidate, research on environmental remote sensing and geological hazards] E-mail: wuj21@lzu.edu.cn
*通讯作者(Corresponding author): 陈冠(1985-),男,博士,副教授,主要研究方向:环境遥感与地质灾害。[CHEN Guan(1985-), male, Ph.D., associate professor, specialized in environmental remote sensing and geological hazards] E-mail: gchen@lzu.edu.cn
更新日期/Last Update: 2022-12-30