The importance of climate and anthropogenic influence in precipitation partitioning in the contiguous United States
The importance of climate and anthropogenic influence in precipitation partitioning in the contiguous United States
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DOI：
10.1016/j.jhydrol.2024.130984
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发表时间：
2024-02
影响因子：
6.4
通讯作者：
Sara Alonso Vicario;George Hornberger;M. Mazzoleni;Margaret Garcia
中科院分区：
文献类型：
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作者：
Sara Alonso Vicario;George Hornberger;M. Mazzoleni;Margaret Garcia
了解降水分为蒸散和径流的过程是水资源规划的基础。Budyko框架已被广泛用于评估影响这一过程的因素。尽管如此，它的应用主要集中在研究人类影响最小的流域和相对较少的因素。此外，关于气候因素和土地利用变化对这一过程的影响，文献中存在差异。为了解决这些差距，本研究的目的是量化的影响，气候和人类活动的径流发电在美国本土。为了实现这一目标，我们校准了1990年至2020年383个流域的Budyko曲线的分析形式。我们开发了ω的区域模型，ω是一个自由参数，用于解释不同气候带内原始Budyko方程中未捕获的降水分配控制。通过相关分析和多元线性回归计算了与ω相关的49个气候和景观因子。研究结果表明，与流域坡度相比，人类活动对ω空间异质性的影响较小，降水与潜在蒸散量的同步性也较小，但在温带气候条件下，城市发展是一个影响因子，而在寒冷气候条件下，灌溉农业则是一个影响因子。在干旱气候中，年平均降水量解释了年平均径流量空间变异的不到20%;此外，这种气候对ω的变化最敏感。这些结果提供了有价值的见解，土地利用和气候如何相互作用，影响径流发电不同的美国连续的区域气候条件下，解释文献中的差异。
Understanding the process of precipitation partitioning into evapotranspiration and streamflow is fundamental for water resource planning. The Budyko framework has been widely used to evaluate the factors influencing this process. Still, its application has primarily focused on studying watersheds with minimal human influence and on a relatively small number of factors. Furthermore, there are discrepancies in the literature regarding the effects of climatic factors and land use changes on this process. To address these gaps, this study aims to quantify the influence of climate and anthropogenic activities on streamflow generation in the contiguous United States. To accomplish this, we calibrated an analytical form of the Budyko curve from 1990 to 2020 for 383 watersheds. We developed regional models of ω, a free parameter introduced to account for controls of precipitation partitioning not captured in the original Budyko equation, within different climate zones. We computed 49 climatic and landscape factors that were related to ω using correlation analysis and stepwise multiple linear regression. The findings of this study show that human activities explained a low variance of the spatial heterogeneity of ω compared with the watershed slope and the synchronization between precipitation and potential evapotranspiration, nevertheless, urban development emerged as a factor in temperate climates, whereas irrigated agriculture emerged in cold climates. In arid climates, mean annual precipitation explains less than 20% of the spatial variability in mean annual streamflow; furthermore, this climate is the most responsive to changes in ω. These results provide valuable insights into how land use and climate interact to impact streamflow generation differently in the contiguous United States contingent on the regional climate, explaining discrepancies in the literature.