Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS), Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Key Laboratory of Mountain Hazards and Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences (CAS), Chengdu 610041, China; University of Chinese Academy of Sciences, Beijing 100049, China; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China.
Sci Total Environ. 2021 Mar 15;760:143349. doi: 10.1016/j.scitotenv.2020.143349. Epub 2020 Oct 28.
Landslides induced by strong earthquakes often destroy large amounts of landscape vegetation which can trigger significant changes in runoff potential and flood flow. Little is known about hydrological behaviours imposed by co-seismic landslides and their post-earthquake evolution. Therefore, we collected time-series datasets (2007-2018) of underlying surface conditions (USC) changes including landslide expansion and recovery in a watershed affected by the Wenchuan earthquake to further quantify how the large physical disturbance affected the flood hydrological behaviours. The hydrological model HEC-HMS was calibrated and validated to predict the historical hydrological behaviours based on 5 min time-series data in rainfalls and streamflow (2018-2019), showing a good model performance with a mean Nash-Sutcliffe efficiency of 0.76. It was found that, shortly after the earthquake, the sharp expansion with 11% of landslide areas elevated the magnitudes of runoff potential, peak discharge, and runoff volume by >10%, and the peak to time for the high-magnitude flood was advanced by 25 min compared to the pre-earthquake levels. The tipping point along the hydrological disturbance-recovery trajectory was detected within 2011 with higher flood peaks and volumes, and the periods of 2011-2013 (i.e. 3-5 years post-earthquake) were deemed to be a rapid recovery period, revealing an unstable hydrological function. These findings are significant for clearly understanding the magnitude and timing, as well as greater risks of post-earthquake catastrophic flooding in earthquake-stricken regions. Additionally, the post-earthquake accompanied rainstorm-induced geohazards, which limited the recovery of landscape vegetation, triggering an undulant but clear recovery process (1-7 years post-earthquake) of hydrological behaviours. These findings promoted our understanding of the spatiotemporal evolution of hydrological behaviours triggered by the earthquake, and further contribute to the development of adaptation and mitigation strategies for the unpredictable flash floods triggered by future abrupt natural hazards in earthquake-affected regions.
强震引发的滑坡通常会破坏大量的景观植被,这可能会导致径流量和洪水流量发生显著变化。目前对于同震滑坡及其震后演化所带来的水文效应还知之甚少。因此,我们收集了受汶川地震影响的流域中潜在地表条件(USC)变化的时间序列数据集(2007-2018 年),包括滑坡的扩展和恢复,以进一步量化大规模物理干扰如何影响洪水的水文行为。利用降雨和流量(2018-2019 年)的 5 分钟时间序列数据对 HEC-HMS 水文模型进行了校准和验证,以预测历史水文行为,模型性能良好,纳什效率系数均值为 0.76。结果表明,地震后不久,滑坡面积增加 11%,使径流量、洪峰流量和径流量增加了 10%以上,与震前相比,高洪量洪水的峰现时间提前了 25 分钟。在沿水文干扰-恢复轨迹的转折点处,在 2011 年检测到,洪水峰值和洪量较高,而 2011-2013 年(即震后 3-5 年)被认为是快速恢复期,表明水文功能不稳定。这些发现对于明确了解震后灾难性洪水的规模和时间,以及震区的更大风险具有重要意义。此外,地震后伴随的暴雨诱发的地质灾害限制了景观植被的恢复,引发了水文行为的波动但清晰的恢复过程(震后 1-7 年)。这些发现增进了我们对地震引发的水文行为时空演变的理解,并进一步为未来地震灾区突发自然灾害引发的不可预测的突发洪水的适应和缓解策略的制定提供了参考。