Uncertainty in river discharge observations: a quantitative analysis

Author:

Di Baldassarre G.,Montanari A.

Abstract

Abstract. River discharge data are known to be potentially affected by a significant uncertainty. Nevertheless, the measurement error of river flow observations is often considered negligible with respect to other uncertainties that affect hydrological studies. This paper aims at analysing and quantifying the uncertainty that may be present in river discharge records. A numerical analysis was performed on a 330-km reach of the Po River (Italy). The results show that errors in river flow data are indeed far from negligible.

Publisher

Copernicus GmbH

Reference13 articles.

1. Aricò,~C., Tucciarelli,~T., Dottori,~F., Martina.,~M L V., and Todini,~E.: Discharge and peak flow estimation using pairs of simultaneous water level measurements, in: Proceedings of the International Conference on Fluvial Hydraulics (IAHR River Flow 2008), Cesme-Izmir, Turkey, 3–5 September 2008, 2008.

2. Beven,~K J.: A~manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, 2006.

3. Chow,~V T., Maidment,~R M., and Mays,~L W.: Applied Hydrology, McGrawHill, UK, 1988.

4. Clarke,~R T.: Uncertainty in the estimation of mean annual flood due to rating curve indefinition, J. Hydrol., 222, 185–190, 1999.

5. Franchini,~M., Lamberti,~P., and Di Giammarco,~P.: Rating curve estimation using local stages, upstram discharge data and a~simplified hydraulic model, Hydrol. Earth Syst. Sci., 3, 541–548, 1999.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3