Jing Hu , Xiong Zhou , Yujun Yi , Chunhui Li , Xuan Wang , Qiang Liu , Jiansu Mao
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引用次数: 0
Abstract
Study region
The Upper Yellow River Basin (UYRB), China.
Study focus
In this study, a variety of mathematical statistical methods, the Indicators of Hydrologic Alteration—Range of Variability (IHA-RVA) method, and the newly proposed Flow Surplus-Deficit (QS-QD) method were integrated to analyze the impact of cascade dam development on hydrological changes over the past 70 years in the UYRB. Additionally, the Double Mass Curve (DMC) method was utilized to evaluate changes in annual sediment transport, quantifying the influences of precipitation and human activities.
New hydrological insights for the region
Long-term statistical analysis revealed significant declining trends in both the annual runoff and sediment load following dam construction. Abrupt changes in runoff and sediment were identified during the study period in 1969 and 1987. Dam operations have altered the relationship between water and sediment, resulting in intensified summer flow deficits and winter-spring flow surpluses, with significant increases in flow deficit during July. The operation of the Longyangxia Reservoir and Liujiaxia Reservoir cascade systems exhibits cumulative effects over time and space. The proposed QS-QD method quantitatively estimates monthly flow variations and effectively addresses the limitations of RVA variation based on frequency. Furthermore, sediment transport at hydrological stations indicated a sequential downstream decrease, with human activities contributing between 95.93 % and 116.51 % to these changes.
期刊介绍:
Journal of Hydrology: Regional Studies publishes original research papers enhancing the science of hydrology and aiming at region-specific problems, past and future conditions, analysis, review and solutions. The journal particularly welcomes research papers that deliver new insights into region-specific hydrological processes and responses to changing conditions, as well as contributions that incorporate interdisciplinarity and translational science.