Kang Xiaoyu, Qi Junyu, Bourque Charles P-A, Li Sheng, Jin Chuan, Meng Fan-Rui
Faculty of Forestry and Environmental Management, University of New Brunswick, P.O. Box 4400, 28 Dineen Drive, Fredericton, NB E3B 5A3, Canada.
Earth System Science Interdisciplinary Center, University of Maryland, College Park, 5825 University Research Ct, College Park, MD 20740, USA.
Sci Total Environ. 2024 May 20;926:171629. doi: 10.1016/j.scitotenv.2024.171629. Epub 2024 Mar 19.
Changes in water yield are influenced by many intersecting biophysical elements, including climate, on-land best management practices, and landcover. Large-scale reductions in water yield may present a significant threat to water supplies globally. Many of these intersecting factors are intercorrelated and confounded, making it challenging to separate the factors' individual contributions to shaping local streamflow dynamics. Comprehensive hydrological models constructed based on a well-established understanding of biophysical processes are often employed to address these matters. However, these models rarely incorporate all relevant factors influencing local hydrological processes, due to the reliance of these models on the latest, albeit limited, state-of-the-art research. For instance, complexities inherent in watershed hydrology, which involve multilayered interactions among potentially many biophysical factors, leave the direct analysis of subtle impacts on water yields measured in-situ largely intractable. Therefore, we propose an innovative approach to assess impacts of elevated atmospheric CO concentrations and flow diversion terraces (FDTs) on stream discharge rates at the watershed scale. Initially, we use a comprehensive hydrological model to account for the impacts of major climatic and landuse/landcover factors on changes in field-acquired measurements of water yield. Next, we employ conventional and advanced statistical methods to decompose the residuals of model predictions to facilitate the identification of subtle influences promoted by increases in atmospheric CO concentrations and the application of FDTs in an agriculture-dominated watershed. Through this innovative approach, we find that FDTs contributed to a watershed-wide, net water-yield reduction of 188.0 mm (or 28.9 %) from 1992 to 2014. Ongoing increases in ambient CO concentrations, which are responsible for an overall reduction in a watershed-level assessment of stomatal conductance, have led to a minor increase in stream discharge rates during the same 23-year period, i.e., 0.45 mm of water yield per year, or 1.6 % overall. Streamflow reductions explicitly caused by regional warming in the area alone, on account of increased evapotranspiration, may be overestimated due to the opposing, synergistic effects on water yield associated with CO-enrichment of the lower atmosphere and the annual application of FDTs.
产水量的变化受到许多相互交叉的生物物理因素的影响,包括气候、陆地最佳管理实践和土地覆盖。全球范围内,产水量的大幅减少可能对供水构成重大威胁。这些相互交叉的因素中,许多是相互关联且相互混淆的,这使得区分各因素对塑造当地河川径流动态的单独贡献具有挑战性。基于对生物物理过程的充分理解构建的综合水文模型常被用于解决这些问题。然而,由于这些模型依赖于最新的(尽管有限的)前沿研究,它们很少纳入影响当地水文过程的所有相关因素。例如,流域水文学固有的复杂性,涉及众多潜在生物物理因素之间的多层相互作用,使得直接分析对现场测量的产水量的微妙影响在很大程度上难以处理。因此,我们提出一种创新方法,以评估大气CO浓度升高和导流梯田(FDTs)对流域尺度河川流量率的影响。首先,我们使用综合水文模型来考虑主要气候和土地利用/土地覆盖因素对现场获取的产水量测量变化的影响。接下来,我们采用传统和先进的统计方法分解模型预测的残差,以便在以农业为主的流域中识别大气CO浓度增加和FDTs应用所带来的微妙影响。通过这种创新方法,我们发现从1992年到2014年,FDTs导致全流域净产水量减少了188.0毫米(或28.9%)。在同一23年期间,环境CO浓度的持续增加导致气孔导度的流域水平评估总体下降,进而使河川流量率略有增加,即每年产水量增加0.45毫米,总体增加1.6%。仅该地区区域变暖因蒸发散增加而明确导致的河川径流减少,可能由于低层大气CO富集和FDTs年度应用对产水量的相反协同效应而被高估。