A methodology to asess relations between climatic variability and variations in hydrologic time series in the southwestern United States
A methodology to asess relations between climatic variability and variations in hydrologic time series in the southwestern United States
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DOI：
10.1016/j.jhydrol.2003.10.006
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发表时间：
2004-02-25
影响因子：
6.4
通讯作者：
Dettinger, MD
中科院分区：
文献类型：
--
作者：
Hanson, RT;Newhouse, MW;Dettinger, MD
提出了一种新的水文时间序列频率分析方法，以便于从水文时间序列中估计和重建单个或多组频率，并便于跨数据类型、流域内不同水文环境、流域间和频率间对这些孤立的时间序列分量进行比较。虽然与气候有关的含水层流入和流出的变化往往被忽视，但地下水和地表水资源的开发和管理需要评估气候多变性对供求和使用的可持续性的影响。美国西南部地表水和地下水流量的气候变化的区域评估需要这种新的系统的水文时间序列分析方法，为了证明这种新方法的应用，从莫哈韦河流域，加州的六个水文时间序列进行了分析。结果表明，气候变率存在于所有的数据类型，并与已知的气候周期，如太平洋年代际振荡和厄尔尼诺南方涛动部分重合。时间序列还表明树轮指数，径流，流基流和地下水位之间的滞后相关性。这些相关性和重建的时间序列可以用来更好地了解气候强迫的水文响应的关系，并促进模拟径流和地下水补给的水资源管理的一个更现实的方法。由爱思唯尔公司出版
A new method for frequency analysis of hydrologic time series was developed to facilitate the estimation and reconstruction of individual or groups of frequencies from hydrologic time-series and facilitate the comparison of these isolated time-series components across data types, between different hydrologic settings within a watershed, between watersheds, and across frequencies. While climate-related variations in inflow to and outflow from aquifers have often been neglected, the development and management of ground-water and surface-water resources has required the inclusion of the assessment of the effects of climatic variability on the supply and demand and sustainability of use. The regional assessment of climatic variability of surface-water and ground-water flow throughout the southwestern United States required this new systematic method of hydrologic time-series analysis.To demonstrate the application of this new method, six hydrologic time-series from the Mojave River Basin, California were analyzed. The results indicate that climatic variability exists in all the data types and are partially coincident with known climate cycles such as the Pacific Decadal Oscillation and the El Nino-Southern Oscillation. The time-series also indicate lagged correlations between tree-ring indices, streamflow, stream base flow, and ground-water levels. These correlations and reconstructed time-series can be used to better understand the relation of hydrologic response to climatic forcings and to facilitate the simulation of streamflow and ground-water recharge for a more realistic approach to water-resource management. Published by Elsevier B.V.