...
首页> 外文期刊>Water Resources Management >Bayesian Rating Curve Inference as a Streamflow Data Quality Assessment Tool
【24h】

Bayesian Rating Curve Inference as a Streamflow Data Quality Assessment Tool

机译:贝叶斯评级曲线推断作为流量数据质量评估工具

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

A streamflow time-series is normally obtained by transforming a time-series of recorded stage to discharge using an estimated rating curve. The accuracy of this streamflow time-series depends on the characteristics of the available stage-discharge measurements used to fit the rating curve. The Norwegian Water Resources and Energy Directorate (NVE) has developed a method based on rating curve uncertainty for performing objective quality assessment of streamflow time-series. The method, which is based on a Bayesian statistical framework, uses the available stage-discharge measurements and the corresponding stage time-series to derive statistics utilised for a quality assurance of the streamflow time-series. Nearly one thousand streamflow time-series periods have been classified using the method. This paper presents the results.
机译:通常,通过使用估算的额定曲线将记录级的时间序列转换为排放来获得流量时间序列。该流量时间序列的准确性取决于用于拟合额定曲线的可用级流量测量的特性。挪威水资源和能源局(NVE)开发了一种基于等级曲线不确定性的方法,用于对水流时间序列进行客观的质量评估。该方法基于贝叶斯统计框架,使用可用的流量测量和相应的时间序列来导出用于保证流量时间序列质量的统计数据。使用该方法已将近一千个流量时间序列周期进行了分类。本文介绍了结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号