WANG Shufan,FENG Wenlan,CHEN Jun,et al.Relationship between Debris Flow and Precipitation at Different Time Scales in Linzhi[J].Journal of Chengdu University of Information Technology,2023,38(06):734-739.[doi:10.16836/j.cnki.jcuit.2023.06.016]
林芝市不同时间尺度泥石流与降水特征的关系
- Title:
- Relationship between Debris Flow and Precipitation at Different Time Scales in Linzhi
- 文章编号:
- 2096-1618(2023)06-0734-06
- Keywords:
- debris flow; precipitation characteristics; TRMM rainfall data; watershed division; Linzhi
- 分类号:
- P426.62+1
- 文献标志码:
- A
- 摘要:
- 针对林芝市因地质条件复杂、泥石流灾害多发和高精度降水数据缺乏等导致的地质灾害预测瓶颈问题，在采用河网密度法进行林芝市流域单元划分的基础上，以林芝市 2000-2019 年已发生的 128 条泥石流灾害记录作为样本数据，利用 TRMM 3B42 卫星降水数据统计分析泥石流灾害发生次数与不同时间尺度下降水特征的关系。研究结果表明，近年来林芝市泥石流灾害数量以2010年、2015年和2016年数次较多，年内主要发生在 6-8 月，月内则以上弦月、下弦月及前后日期发生较多。泥石流频次在年际尺度上与年降水量、汛期雨量、6-8 月降水量呈显著正相关; 在年内尺度上，与月降水量呈现显著正相关; 在日尺度上与当日降水量、前1日至前3日累计降水量呈显著正相关关系。当日降水量、前1日、前2日和前3日累计降水量分别达到15 mm、20 mm、30 mm、40 mm时，对应泥石流灾害发生的次数占所有记录的80%。
- Abstract:
- Lingzhi has complex terrain environment, frequent debris flow disasters and lack of high-precision precipitation data. To solve the problems that will affect the prediction of geological disasters, based on the watershed division by using the river network density method, taking 128 debris flow disaster records in Linzhi from 2000 to 2019 as sample data, this paper analyzes the relationship between the number of debris flow disasters andprecipitation characteristics at different time scales using TRMM 3B42 satellite precipitation data. The results show that, the number of debris flow disasters in Linzhi is particularly high in 2010, 2015 and 2016 and it mainly occurs from June to August. In a month, disasters occur more frequently around first quarter month, the last quarter month.On the interannual scale, the frequency of debris flow is positively correlated with the annual precipitation, the precipitation in flood season, and the precipitation in June August. On the annual scale, there is a significant positive correlation with monthly precipitation. While on a daily scale, there is a significant positive correlation with the daily precipitation and the accumulated precipitation from the previous day to the previous three days. When the daily precipitation, the accumulated precipitation of the previous day, the previous two days and the previous three days reaches 15mm, 20 mm, 30 mm and 40 mm respectively, the corresponding number of debris flow disasters accounts for 80% of all records.
参考文献/References:
[1] 李铁锋,潘懋,刘瑞珣.基岩斜坡变形与破坏的岩体结构模式分析[J].北京大学学报(自然科学版),2002(2):239-244.
[2] 田运涛,叶振南,王高峰,等.白龙江泥湾沟泥石流特征及易发性评价研究[J].人民长江,2019,50(S2):59-64.
[3] 胡凯衡,魏丽,刘双,等.横断山区泥石流空间格局和激发雨量分异性研究[J].地理学报,2019,74(11):2303-2313.
[4] 狄靖月,许凤雯,李宇梅,等.东南地区引发地质灾害降水分型及阈值分析[J].灾害学,2019,34(1):62-67.
[5] 沈毅,露丹.泸定县泥石流灾害特征及降水因子分析[J].高原山地气象研究,2014,34(2):81-85.
[6] 钟燕川,郭海燕,徐金霞,等.四川省泥石流活动与降水因子特征[J].水土保持研究,2018,25(6):390-396.
[7] 杨红娟,韦方强,马振峰,等.四川省泥石流灾害的时空分布规律和降水特征[J].灾害学,2017,32(4):102-107.
[8] 曲瑞,李仲先,何政伟,等.甘肃天水大沟短时强降水诱发低频泥石流特征及成因[J].山地学报,2018,36(3):488-495.
[9] 冯杭建,唐小明,周爱国.浙江省泥石流与降雨历时关系研究及应用检验[J].自然灾害学报,2013,22(1):159-168.
[10] 刘俊峰,陈仁升,韩春坛,等.多卫星遥感降水数据精度评价[J].水科学进展,2010,21(3):343-348.
[11] 沈玲玲,刘连友,杨文涛,等.基于TRMM降雨数据的四川省地质灾害降雨阈值分析[J].灾害学,2015,30(2):220-227.
[12] 武辰爽.基于GIS的川藏铁路林芝段地质灾害危险性评价[D].拉萨:西藏大学,2021.
[13] 陈宫燕,普布桑姆,次仁,等.西藏林芝降水引发的山洪地质灾害分布特征[J].中国地质灾害与防治学报,2018,29(2):100-103.
备注/Memo
收稿日期:2022-09-27
通信作者:冯文兰.E-mail:fwl@cuit.edu.cn