State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China.
Guangdong Provincial Key Laboratory of Water Quality Improvement and Ecological Restoration for Watersheds, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, 510006, China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
J Contam Hydrol. 2020 Nov;235:103702. doi: 10.1016/j.jconhyd.2020.103702. Epub 2020 Aug 25.
Nexus of runoff and sediment in watercourses is important for sustainable watershed management, especially in rivers with hyper-concentrated sediments. However, complex relationships between runoff and sediment were not fully understood. In this research, Mann-Kendall (MK) and moving t-test methods were used to confirm the suitable temporal range based on time series data of precipitation in the Anning River Basin from 1971 to 2017. At the same time, the month of typical precipitation (i.e., the largest annual average precipitation) was identified. A model of runoff and sediment over two stations from 2010 to 2015 were constructed respectively based on copula analysis method. Synchronous and asynchronous probabilities of runoff and sediment were analysed from the temporal and spatial aspects separately. The encounter probabilities of runoff and sediment over multiple periods and at two stations were analysed. The sediment distribution was illustrated under multiple runoff distribution conditions. The encounter probability of runoff and sediment distribution changed greatly, which was principally due to employment of reservoir operation, soil and water conservation measures. The variability of the joint probability was much obvious in tributary regions than that of the mainstream areas of Anning River basin. The results could be adopted to improve the understanding of interactive relationships between runoff and sediment and provide a significant references for regional management of soil and water.
河道径流量和输沙量的关系对于可持续流域管理至关重要,特别是在泥沙超浓的河流中。然而,径流量和输沙量之间的复杂关系尚未得到充分理解。本研究采用曼恩-肯德尔(MK)和移动 t 检验方法,根据 1971 年至 2017 年安宁河流域降水时间序列数据,确定合适的时间范围。同时,确定了典型降水月份(即最大年平均降水)。基于 copula 分析方法,分别建立了 2010 年至 2015 年两个站点的径流量和输沙量模型。分别从时间和空间方面分析了径流量和输沙量的同步和异步概率。分析了多个时期和两个站点的径流量和输沙量的遭遇概率。在多个径流量分布条件下说明了泥沙分布情况。在采用水库调度和水土保持措施后,径流量和输沙量的遭遇概率发生了较大变化。在安宁河流域支流区,联合概率的变化明显大于主流区。研究结果可以提高对径流量和输沙量相互关系的认识,为区域水土管理提供重要参考。