School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China.
School of Hydrology and Water Resources, Nanjing University of Information Science & Technology, Nanjing 210044, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Sci Total Environ. 2019 May 10;664:824-833. doi: 10.1016/j.scitotenv.2019.02.011. Epub 2019 Feb 2.
Understanding response of streamflow to environmental changes is crucial for large-scale water resources management and ecosystem restoration. There is no consensus on how environmental change influence streamflow in different regions across climate gradient, as previous studies mainly focused on a single river basin or climate region. This study analyzed the variations of aridity index and its contributions to streamflow change based on Budyko's framework approach using bias-corrected precipitation measurement, parameters-optimized potential evapotranspiration and observed streamflow in 144 basins across China. The parameter n in the Budyko type equation exhibits significant spatial heterogeneity, with larger values in the water-limited region than in the energy-limited region, which suggests more pronounced impact of basin characteristic or vegetation change on hydrological cycle. The absolute value of sensitivity coefficient in the water-limited region (-2.56) was larger than both equitant (-2.13) and energy limited region (-1.57), indicating that the streamflow was more sensitive to aridity index change in the water-limited region than in the equitant and energy-limited regions. The dominant factor affecting streamflow under energy-limited and equitant conditions is aridity index (i.e. climate change), with median relative contribution rates of 79.9% and 55.5%, respectively. In contrast, non-climatic factors dominate the variation of streamflow in the water-limited region, the effect of climate change on streamflow has been offset by other factors. This study suggests that the water management practices, such as water diversion across river basins and ecological restorations, should fully consider the differences in hydrological responses to climatic conditions.
理解径流量对环境变化的响应对于大规模水资源管理和生态系统恢复至关重要。由于先前的研究主要集中在单个流域或气候区域,因此对于不同气候梯度下环境变化如何影响径流量,尚未达成共识。本研究基于 Budyko 框架方法,利用校正后的降水测量值、参数优化的潜在蒸散量和观测到的中国 144 个流域的径流量,分析了干旱指数的变化及其对径流量变化的贡献。Budyko 型方程中的参数 n 表现出显著的空间异质性,在水分限制区的数值大于能量限制区,这表明流域特征或植被变化对水文循环的影响更为显著。水分限制区的敏感性系数绝对值(-2.56)大于等雨量区(-2.13)和能量限制区(-1.57),表明在水分限制区,径流量对干旱指数变化的敏感性大于等雨量区和能量限制区。在能量限制和等雨量条件下,影响径流量的主导因素是干旱指数(即气候变化),其相对贡献率分别为 79.9%和 55.5%。相比之下,非气候因素主导着水分限制区径流量的变化,气候变化对径流量的影响被其他因素所抵消。本研究表明,调水跨流域和生态恢复等水管理实践应充分考虑不同气候条件下对水文响应的差异。