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生态恢复背景下延河流域蒸散发时空格局及其驱动机制

Spatiotemporal pattern of surface evapotranspiration and its driving mechanism in the Yanhe River Basin under ecological restoration

  • 摘要: 环境要素通过改变冠层导度、能量分配等影响蒸散发动态,厘清环境要素对蒸散发的影响机制是生态水文学的关键科学问题之一。该研究以黄土高原延河流域为研究区,考虑土地覆盖类型的动态变化,提出动态最优冠层导度方案,实现蒸散发模型的改进。在剖析2000—2023年生态恢复背景下的蒸散发时空格局基础上,利用地理探测器阐明多种环境要素对蒸散发形成的驱动机制。结果表明:1)改进后的蒸散发模型在站点和流域尺度上均显著地降低了模拟误差;2)ET时间变化分析显示,年际蒸散发在2000—2023年整体呈现上升趋势,而空间演变格局表明,大部分区域的蒸散发呈现显著性增长趋势,小部分地区如村镇等的蒸散发受植被稀疏、地表硬化等的影响呈现减少趋势;3)驱动机制分析显示,植被覆盖度(fractional vegetation cover,FVC)、降水(precipitation,P)、空气水汽压亏缺(vapor pressure deficit,VPD)和土地利用/覆盖变化(land use/cover change,LUCC)4个因素是影响延河流域蒸散发时空异质性的主要驱动因素,其中,FVC的解释力最大。比湿(specific humidity,SH)和人口数(population,POP)在2010年后也成为关键驱动因素(解释力大于0.1)。交互作用探测的解释力均大于单因素,且形式均表现为非线性增强或双因子增强,FVC与其他因子的交互效应更明显。FVC与VPD、VPD与P、P与空气温度(air temperature,AT)之间的交互作用主导了2000—2023年延河流域蒸散发的形成及异质性。研究成果对于全面理解生态恢复背景下的蒸散发及其驱动机制具有科学意义,并可为黄土高原生态修复、水资源合理利用等提供参考。

     

    Abstract: Evapotranspiration (ET) is the major component of the energy balance in the water cycle. The eco-hydrology can alter the canopy conductance and energy distribution. This study aims to clarify the influence of the environmental factors on the ET dynamics in the interaction and feedback between the hydrological and land surface. The research area was also taken as the Yanhe River Basin in the Loess Plateau. A dynamic optimal scheme of the canopy conductance was proposed to improve the ET model, in order to consider the dynamics of the land cover types. The spatiotemporal ET pattern was obtained under the ecological restoration from 2000 to 2023. The GeoDetector model was utilized to clarify the driving mechanisms of the multiple environmental factors on the ET. The results were summarized into three aspects. 1) The improved ET model significantly reduced the simulation error at the site scale. There was an excellent linear fitting relationship between the estimated ET by the water balance and the improved P-MZhang model. There were the R2 = 0.97 (P < 0.01) and the RMSE = 35.1 mm/a, compared with the ET estimated by the water balance at the watershed scale. 2) The time variation of the annual ET displayed a non-significant upward trend from 2000 to 2020, but the upward trend was observed since 2020. The spatial evolution pattern of the ET significantly increased in most areas. There was an increasing trend from the west to the east, while a decreasing trend was found from the north to the south. The ET was reduced in the villages and towns, due to the sparse vegetation, hardened ground surface, and high albedo. There were the pathways and energy distributions of the ET. Hence, the improved ET model represented the heterogeneity of the ET fluxes under different surface cover types. The experiment was also in line with the actual situation. 3) The driving mechanism indicated that the q values (explanatory power) of FVC (fractional vegetation cover), P (precipitation), VPD (vapor pressure deficit), and LUCC (land use/cover change) were all greater than 0.10 (significance level of 0.01) in the three time periods of 2000-2010, 2011-2023 and 2000-2023. The main driving factors were determined on the spatiotemporal heterogeneity of the ET. Among them, the explanatory power of FVC was the greatest. SH (specific humidity) and POP (population) were gradually the key driving factors after 2010. The explanatory power of the interaction was greater than that of the single factor. The factor interaction was all nonlinear and double-factor enhancement. There was a more outstanding interaction of the FVC with other factors. The interactions between the FVC and VPD, VPD and P, and P and AT (air temperature) dominated the formation and heterogeneity of the ET. A full understanding was also obtained of the ET and its driving mechanism under various environments. The finding can also provide a strong reference for the ecological restoration, water resources, and regional ecological civilization in the Loess Plateau.

     

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