School of Ecology and Environment, Institute of Disaster Prevention, Langfang, Heibei, China.
College of Transportation Engineering, Nanjing Tech University, Nanjing, Jiangsu, China.
Environ Sci Pollut Res Int. 2023 Apr;30(19):56425-56439. doi: 10.1007/s11356-023-26271-3. Epub 2023 Mar 15.
Climate variability and human activity are the two driving forces that alter the hydrological cycle and spatiotemporal distribution of water resources. Using the Taoer River Basin (TRB) as an example, this study analyzed the impacts of climate variability and human activities on streamflow discharge in various periods and the resulting hydrological alterations. First, historical streamflow data were divided into four periods (baseline period and altered periods 1, 2, and 3). Based on the proposed basic identification framework, four assessment methods (the hydrological sensitivity method, distributed hydrological model, linear regression model, and runoff restoring computation) are used and provided relatively consistent estimates of streamflow attribution. Climate variability is the driving factor for streamflow changes, and the relative contributions in altered periods 1, 2, and 3 are 81% (+ 50.34 mm), 68% (+ 13.37 mm), and 53% (-19.23 mm), respectively. In addition, climate variability and reservoir construction have different impacts on the hydrological regime at different periods, and reservoir regulation's effect on the hydrological regime depends on climatic conditions. Combined with this case study, we further discuss the necessity of breakpoint selection and period subdivision in the attribution of streamflow changes, and analyze the applicability of different methods with current ideas for improvement. This study not only has practical significance for water resource planning and adaptive policy formulation in the TRB but also provides a useful reference for similar studies.
气候变异性和人类活动是改变水文循环和水资源时空分布的两个驱动因素。本研究以洮儿河流域(TRB)为例,分析了气候变异性和人类活动对不同时期流域径流量的影响以及由此产生的水文变化。首先,将历史径流量数据分为四个时期(基准期和变化期 1、2、3)。基于提出的基本识别框架,采用了四种评估方法(水文敏感性方法、分布式水文模型、线性回归模型和径流恢复计算),它们提供了相对一致的径流量归因估计。气候变异性是径流量变化的驱动因素,在变化期 1、2 和 3 中的相对贡献分别为 81%(+50.34mm)、68%(+13.37mm)和 53%(-19.23mm)。此外,气候变异性和水库建设对不同时期的水文状况有不同的影响,水库调节对水文状况的影响取决于气候条件。结合本案例研究,我们进一步讨论了在径流量变化归因中选择断点和细分时期的必要性,并分析了不同方法在当前改进思路下的适用性。本研究不仅对 TRB 的水资源规划和适应性政策制定具有实际意义,而且为类似研究提供了有益的参考。