4.6 Article

Towards hydrological model calibration and validation: simulation of stable water isotopes using the isoWATFLOOD model

期刊

HYDROLOGICAL PROCESSES
卷 27, 期 25, 页码 3791-3810

出版社

WILEY
DOI: 10.1002/hyp.9695

关键词

hydrological modelling; model calibration; source separation; stable water isotopes; uncertainty; minimally gauged basins; Fort Simpson NWT

资金

  1. National Sciences and Engineering Research Council

向作者/读者索取更多资源

Calibration and validation of hydrological models is a challenge, particularly in remote regions that are minimally gauged. This paper develops a novel methodology for large-scale (>1000 km(2)) hydrological model calibration and validation using stable water isotopes founded on the rigorous constraints imposed by the need to conserve both water mass and stable isotopes simultaneously. The isoWATFLOOD model is applied to five basins within the Fort Simpson, Northwest Territories region of northern Canada to simulate stream discharge and oxygen-18 signals over a 3-year period. The isotopic variation of river discharge, runoff components, and evaporative fractionation are successfully simulated on both a seasonal and continual basis over the watershed domain to demonstrate the application of isotope tracers to regional hydrologic calibration. The intended application of this research is to remote, large-scale basins, showing promise for improving predictions in minimally gauged basins and climate change research where traditional, rigorous approaches to constraining parameter uncertainty may be impractical. This coupled isotope-hydrological (i.e. iso-hydrological) approach to modelling reduces the number of possible parameterizations, resulting in potentially more physically-based hydrological predictions. isoWATFLOOD provides a tool for water resource managers and utilities to use operationally for water use, allocation, and runoff generation estimations. Copyright (c) 2012 John Wiley & Sons, Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据