Considering Streamflow Trend Analyses Uncertainty in Urbanizing Watersheds: A Baseflow Case Study in the Central United States
Considering Streamflow Trend Analyses Uncertainty in Urbanizing Watersheds: A Baseflow Case Study in the Central United States
复制标题
考虑水流趋势分析城市化流域的不确定性：美国中部基流案例研究
DOI：
10.1175/2012ei000481.1
复制
发表时间：
2013
影响因子：
2
通讯作者：
C. Zell
中科院分区：
文献类型：
--
作者：
J. Hubbart;C. Zell
Abstractassuming proportional reduction in baseflow resulting from urban development may not be valid in all urbanizing watersheds.人类活动对基流的抵消或补偿作用（例如，污水管道、废水流出物和草坪灌溉的净渗出）可能掩盖或混淆水文路径的根本变化。这些抵消说明了城市流动过程的复杂性，以及需要更好地理解以减轻城市发展的影响。作者使用了两种不同的自动基流分离算法和蒙特卡罗技术来评估城市基流和估计的不确定性，使用的数据来自美国中部一个有代表性的城市流域。三个不确定性影响趋势的测定进行了评估，包括算法结构，降水径流关系，基流算法参数化。结果表明，尽管人口持续增长和发展，作者的年径流量指标代表…
AbstractAssuming pro rata reductions in baseflow resulting from urban development may not be valid in all urbanizing watersheds. Anthropogenic offsets or compensatory contributions to baseflow (e.g., net exfiltration from sewer lines, wastewater effluents, and lawn irrigation) may mask or confound fundamental changes in hydrologic pathways. These offsets illustrate the complexities of urban flow processes and the need for improved understanding to mitigate urban development impacts. The authors used two dissimilar automated baseflow separation algorithms and Monte Carlo techniques to evaluate urban baseflow and estimation uncertainty using data from a representative urban watershed in the central United States. Three uncertainties affecting trend determinations were assessed, including algorithm structure, precipitation–runoff relationships, and baseflow algorithm parameterization. Results indicate that, despite ongoing population growth and development, annual streamflow metrics in the authors' represent...