Impact of rainfall pattern on interrill erosion process
Impact of rainfall pattern on interrill erosion process
复制标题
降雨模式对沟间侵蚀过程的影响
DOI：
10.1002/esp.4140
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发表时间：
2017-09
影响因子：
3.3
通讯作者：
Prasanna Gowda
中科院分区：
文献类型：
--
作者：
Bin Wang;Jean Steiner;Fenli Zheng;Prasanna Gowda
降雨模式对细沟间侵蚀过程的影响尽管很重要，但目前还没有完全了解。通过系统的降雨模拟试验，研究了不同降雨强度、降雨阶段、降雨强度序列和地表覆盖条件对细沟侵蚀过程的影响。设计了5种总动能/降雨量相同的降雨模式(增加、减少、上升-下降、下降-上升和恒定模式)，随机分配到10°坡度的预湿粘壤土土壤表面。不同降雨类型和降雨阶段的土壤流失量有显著差异，但径流没有明显差异。动能通量(Ker)是细沟间侵蚀的控制因子，持续降雨模式(CST)产生的土壤流失量是无Ker条件下的9倍。不同强度的模式对雨滴诱导的泥沙输移过程有深刻的影响；通径分析结果表明，这种影响是复杂的、相互作用的和强度相关的。较低的水力参数阈值进一步表明，Ker是土壤颗粒分离的主导因素，而陆面径流主要对预分离颗粒的输送起作用。该研究不仅揭示了细沟间泥沙输移能力和剥离性的机理，而且为开发基于事件的细沟间侵蚀预报模型提供了有用的数据库。
The impact of rainfall pattern on the interrill erosion process is not fully understood despite its importance. Systematic rainfall simulation experiments involving various rainfall intensities, stages, intensity sequences, and surface cover conditions were conducted in this study to investigate their effects on the interrill erosion process. Five rainfall patterns designed with the same total kinetic energy/precipitation (increasing, decreasing, rising–falling, falling–rising and constant patterns) were randomly delivered to a pre-wet clay loam soil surface at a 10° slope gradient. Significant differences in soil losses were observed among the different rainfall patterns and stages, but there was no obvious difference in runoff. Kinetic energy flux (KEr) was a governing factor for interrill erosion, and constant rainfall pattern (CST) produced nine times greater soil loss than runs with no KEr. Varied-intensity patterns had a profound effect on raindrop-induced sediment transport processes; path analysis results indicated that said effect was complex,.interactive and intensity-dependent. Low hydraulic parameter thresholds further indicated that KEr was the dominant factor in detaching soil particles, while overland flow mainly contributed to transporting the pre-detached particles. This study not only sheds light on the mechanism of interrill sediment transport capacity and detachability, but also may provide a useful database for developing event-based interrill erosion prediction models.
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影响因子：
2.3
作者：
G. Erpul;D. Gabriels;L. Norton;D. Flanagan;C. H. Huang;S. Visser
通讯作者：
G. Erpul;D. Gabriels;L. Norton;D. Flanagan;C. H. Huang;S. Visser
影响因子：
2.2
作者：
G. Erpul;Donald Gabriëls;D. Janssens
通讯作者：
G. Erpul;Donald Gabriëls;D. Janssens
中国软土区不同雨滴动能下溅蚀的方向分量
影响因子：
2.9
作者：
Hu Wei;Zheng Fenli;Bian Feng
通讯作者：
Bian Feng
影响因子：
3.3
作者：
P. Kinnell
通讯作者：
P. Kinnell
影响因子：
2.8
作者：
S. Assouline
通讯作者：
S. Assouline