首页> 外文期刊>Water Science and Technology >On the effect of spatial variances in historical rainfall time series to CSO performance evaluation
【24h】

On the effect of spatial variances in historical rainfall time series to CSO performance evaluation

机译:历史降雨时间序列中的空间变化对CSO绩效评估的影响

获取原文
获取原文并翻译 | 示例
       

摘要

Historical, high-resolution rain series are the backbone of modern combined sewer overflow (CSO) structure design. These rain series are the input to the computational estimation of the performance of the measures with respect to CSO pollution abatement. However, those historical precipitation measurements are available at only a few locations. Frequently rain series have to be used from gauging stations at significant distance. In order to judge and to compensate for this influence an estimate between rain characteristics and combined sewer outflow (CSO) performance indicators would be useful. In this paper such correlations have been sought for a collection of 37 rain series covering large areas of Europe. It was found that the mean annual rain volume can explain most of the variances for the performance indicators Number of overflows and CSO volume. For explaining the spatial differences in the efficiency of the CSO structure another rain characteristic, i.e. the maximum event with a return period of one year, is to be used.
机译:历史悠久的高分辨率降雨系列是现代组合下水道溢流(CSO)结构设计的基础。这些降雨序列是针对CSO减排措施的性能估算的输入。但是,这些历史降水量测量值仅在少数几个位置可用。经常必须在很远的距离从测距站使用降雨系列。为了判断和补偿这种影响,估算雨水特征和下水道排水综合性能指标是有用的。在本文中,已针对覆盖欧洲大部分地区的37个降雨序列寻求了这种相关性。研究发现,年平均雨量可以解释性能指标的大部分方差,即溢流次数和CSO量。为了解释CSO结构效率的空间差异,将使用另一个降雨特征,即最大回归期为一年的降雨。

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