Huarez Yarleque Christian Miguel, Shu Anping, Liu Shaoda, Supe Tulcan Roberto Xavier, Zhang Ziru, Pi Chengling, Xiao Yulong, Zhu Fuyang
School of Environment, Key Laboratory of Water and Sediment Sciences of MOE, Beijing Normal University, Beijing 100875, China.
School of Environment, Key Laboratory of Water and Sediment Sciences of MOE, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2024 Dec 1;954:176140. doi: 10.1016/j.scitotenv.2024.176140. Epub 2024 Sep 15.
The Yellow River is distinguished by the highest sediment load in mainland China and significant siltation in artificial reservoirs along its main channel, reducing water availability, sediment trapping, and carbon burial in the hydrological project. Since 2002, the Water Sediment Regulation Scheme (WSRS) has been progressively implemented as a hydraulic management strategy to mitigate reservoir sedimentation in the middle-lower basin reservoirs. However, this substantial release of sediment and water has also affected river morphology, carbon burial, and sediment trapping. This research assesses the evolution of particulate organic carbon burial and sediment trapping in eight Yellow River reservoirs from 2002 to 2018, covering the upper and middle-lower basins and two reservoirs in the Yiluo River sub-basin. We calculated the annual and seasonal variations using hydrological data from 11 stations along the Yellow River. A hydrological framework was developed to calculate sediment trapping, and a Monte Carlo analysis was performed to estimate particulate organic carbon burial across all the evaluated reservoirs. We found that sediment trapping and carbon burial in upper basin reservoirs are most influenced by shifts in the precipitation regime, particularly by natural events such as severe droughts or heavy rainfall. A strong correlation was observed between annual precipitation variations and sediment load. In middle-lower basin reservoirs, the major artificial sediment regulation is strongly linked to a significant reduction in sediment trapping and particulate organic carbon burial. This impact is especially notable in the Yiluo River Sub-basin reservoirs, which have experienced a >90 % reduction compared to levels before the WSRS implementation. Finally, we highlight the consequences of climate change and artificial water management strategies in reservoirs, demonstrating how both affect their capacity for sediment trapping and impact their role as significant carbon sinks.
黄河以中国大陆最高的泥沙含量以及主河道沿线人工水库的大量淤积而著称,这降低了水文工程中的可用水量、泥沙截留量和碳埋藏量。自2002年以来,水沙调控方案(WSRS)已逐步实施,作为一项水利管理策略,以减轻中下游流域水库的泥沙淤积。然而,这种大量的泥沙和水的排放也影响了河流形态、碳埋藏和泥沙截留。本研究评估了2002年至2018年黄河八个水库中颗粒有机碳埋藏和泥沙截留的演变情况,涵盖了黄河上游和中下游流域以及伊洛河子流域的两个水库。我们利用黄河沿线11个站点的水文数据计算了年变化和季节变化。建立了一个水文框架来计算泥沙截留量,并进行了蒙特卡洛分析,以估算所有评估水库中的颗粒有机碳埋藏量。我们发现,上游流域水库的泥沙截留和碳埋藏受降水模式变化的影响最大,特别是受严重干旱或暴雨等自然事件的影响。年降水量变化与泥沙含量之间存在很强的相关性。在中下游流域水库中,主要的人工泥沙调控与泥沙截留量和颗粒有机碳埋藏量的显著减少密切相关。这种影响在伊洛河子流域水库中尤为明显,与水沙调控方案实施前的水平相比,该流域水库的泥沙截留量和颗粒有机碳埋藏量减少了90%以上。最后,我们强调了气候变化和水库人工水管理策略的后果,展示了两者如何影响水库的泥沙截留能力以及它们作为重要碳汇的作用。