State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, No 18 Shuangqing Road, Haidian District, Beijing, 100085, People's Republic of China.
University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing, 100049, People's Republic of China.
Environ Monit Assess. 2023 Apr 18;195(5):581. doi: 10.1007/s10661-023-11193-x.
Base flow (BF) is harder to predict than other hydrological signatures. The lack of hydrologically relevant information or adequately broad spectrum of typically selected catchment attributes (particularly landscape and topography) hinders the explanatory power. Our goals were to identify the most influential controls on base flow spatially and temporally and to elucidate the response relationships. Base flow in 19 semi-arid sub-watersheds was separated by digital filtering. One hundred and fourteen sub-watershed attributes were related to base flow using random forest regression. The main results were as follows: (1) Annual BF significantly declined since 1999 due to decreased precipitation, increased air temperature, afforestation, urban expansion, and increasing water consumption. Annual base flow index (BFI), varying between 0.319 and 0.695, showed less noticeable temporal trends. (2) Precipitation (P) and underlying carbonate rocks primarily controlled the spatial variation of annual BF and total flow (TF), with the impacts being positive. Landscape was less influential. After the abrupt runoff decline, landscape composition rather than configuration exerted greater impacts on spatial BF and TF, and the importance of forest increased, whereas landscape configuration was decisive for BFI during the whole observation period. The absence of significant links between landscape configuration and water quantity may result from a scale issue. Concave profile curvatures were found to be topographic variables more important than slopes. The impact of soil was the least. This study would benefit the selection of catchment attributes and spatial extents to quantify these attributes in building BF predicting models in future studies.
基流(BF)比其他水文特征更难预测。缺乏与水文相关的信息或广泛选择的集水区属性(特别是景观和地形),限制了其解释能力。我们的目标是识别基流在空间和时间上最具影响力的控制因素,并阐明响应关系。通过数字滤波将 19 个半干旱次流域的基流分开。使用随机森林回归将 114 个次流域属性与基流相关联。主要结果如下:(1)自 1999 年以来,由于降水减少、空气温度升高、造林、城市扩张和用水量增加,年基流显著减少。基流指数(BFI)在 0.319 到 0.695 之间变化,其时间趋势不太明显。(2)降水(P)和底层碳酸盐岩主要控制了年基流和总流量(TF)的空间变化,其影响为正。景观的影响较小。在径流量突然减少后,景观组成而不是配置对空间基流和 TF 的影响更大,森林的重要性增加,而在整个观测期间,景观配置对 BFI 具有决定性作用。景观配置与水量之间没有显著联系可能是由于尺度问题。凹形轮廓曲率被发现是比坡度更重要的地形变量。土壤的影响最小。本研究将有助于选择流域属性和空间范围,以便在未来的研究中构建基流预测模型时量化这些属性。