2005-2021年大河坝流域极端气候及其对滑坡的影响OA
Extreme Climate Events and Their Impacts on Landslides in the Daheba Watershed from 2005 to 2021
[目的]为探究青藏高原东北缘大河坝流域2005-2021年极端气候特征及其对滑坡发育的影响机制.[方法]基于1960-2021年兴海气象站数据,采用RClimDex模型计算22个极端气候指数,分析气温与降水变化趋势;利用多源遥感影像和无人机DSM数据,解译2005-2021年28条泥石流沟的新增型(Ⅰ型)与扩大型(Ⅱ型)滑坡时空分布,结合皮尔逊相关性分析,揭示气候因子对滑坡的驱动机制.[结果]1)1960-2021年气候暖湿化显著,极端高温事件频率与强度增加,极端低温事件减少;降水模式转向高频短历时强降雨.2)滑坡活动加剧,2005-2021年滑坡数量从218处增至1 125处(年平均增长10.5%),面积从6.25×10⁴增至 44.69×10⁴ m²(年平均增长 12.3%),其中Ⅰ型滑坡占比 56%(平均厚度 0.65 m),Ⅱ型滑坡占比 44%(平均厚度1.35 m).2016年后滑坡加速发育,2018年工程扰动导致道路沿线滑坡密度激增.3)新增型滑坡(56%)与极端降水(Rx5day,r=0.68)相关,扩大型滑坡(44%)受冷夜频率(TN10p,r=0.64)和干旱日数(CDD,r=-0.67)驱动.4)黄土-卵石夹砂结构调控滑坡类型,浅层滑坡(0.65 m厚)由黄土低渗透性(1.81 m/d)导致,深层滑坡(1.35 m厚)与卵石层高渗透性(3.02 m/d)相关.[结论]极端气候通过直接(降雨)和间接(冻融)作用驱动滑坡,黄土-卵石夹砂结构和人类工程活动进一步加剧灾害风险.研究结果可为青藏高原东北缘泥石流物源预测提供借鉴.
[Objective]To investigate the characteristics of extreme climate over the past 2005-2021 years in the Daheba river basin on the northeastern margin of the Tibetan Plateau and the mechanisms through which it influences landslide development.[Methods]Based on meteorological data from the Xinghai Station from 1960 to 2021,22 extreme climate indices were calculated using the RClimDex model to analyze the variation trends of temperature and precipitation.Multi-source remote sensing images and unmanned aerial vehicle(UAV)-derived digital surface model(DSM)data were used to interpret the spatiotemporal distribution of newly formed(Type Ⅰ)and expanded(Type Ⅱ)landslides in 28 debris flow gullies from 2005 to 2021.Pearson correlation analysis revealed the driving mechanisms of climate factors on landslide development.[Results]1)From 1960 to 2021,the climate showed significant trends of warming and wetting,with increases in the frequency and intensity of extreme high-temperature events and decreases in extreme low-temperature events.Precipitation patterns shifted toward high-frequency,short-duration heavy rainfall.2)Landslide activity intensified.From 2005 to 2021,the number of landslides increased from 218 to 1 125(average annual growth rate of 10.5%),and the landslide area expanded from 6.25×10⁴ to 44.69×10⁴ m²(average annual growth rate of 12.3%).Among them,Type Ⅰlandslides accounted for 56%(average thickness of 0.65 m),and Type Ⅱ landslides accounted for 44%(average thickness of 1.35 m).Landslide development accelerated after 2016,with engineering disturbances in 2018 caused a sharp increase in landslide density along roads.3)Newly formed landslides(56%)were correlated with extreme precipitation(Rx5day,r=0.68),while expanded landslides(44%)were driven by cold night frequency(TN10p,r=0.64)and dry day count(CDD,r=-0.67).4)The loess-cobble-sand structure regulated landslide types.Shallow landslides(0.65 m thick)were caused by the low permeability of loess(1.81 m/d),while the deep landslides(1.35 m thick)were associated with the high permeability of cobble layers(3.02 m/d).[Conclusion]Extreme climate events drive landslides through direct(rainfall)and indirect(freeze-thaw)effects,and the loess-cobble-sand structure and human engineering activities further aggravate disaster risks.The results can provide a reference for predicting debris flow material sources on the northeastern margin of the Tibetan Plateau.
顾煜;马超;吕立群
北京林业大学水土保持学院,北京 100083北京林业大学水土保持学院,北京 100083北京林业大学水土保持学院,北京 100083
天文与地球科学
泥石流物源极端气候坡面物源滑坡气候变化
debris flow material sourceextreme climateslope material sourcelandslideclimate change
《水土保持学报》 2026 (1)
78-88,11
第二次青藏高原综合科学考察研究项目(2019QZKK0902)国家科技重大专项(2019QZKK0902)
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