Prediction of long-term urban stormwater loads at single sites

Author:

May Daniel1,Sivakumar Muttucumaru2

Affiliation:

1. Sustainable Water and Energy Research Group, School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, Australia

2. Sustainable Water and Energy Research Group (SWERG), School of Civil, Mining and Environmental Engineering, University of Wollongong, Wollongong, Australia

Abstract

Long-term total phosphorus loads from 17 urban catchments in the USA were predicted using five different measures of central tendency defining site mean concentration (arithmetic mean, geometric mean, median, harmonic mean and flow-weighted mean). Overall, the flow-weighted mean concentration produced the most accurate predictions of long-term loads. The geometric mean produced the second most accurate predictions. Along with the median and harmonic mean, the geometric mean predicted long-term load relatively well at most catchments exhibiting negative correlations between event mean concentration and total event runoff depth. However, they significantly underestimated long-term load at catchments exhibiting a positive correlation between these variables. Better estimates of long-term load at these two catchments were produced using the flow-weighted mean and arithmetic mean. However, the arithmetic mean tended to overestimate long-term load at the remainder of catchments.

Publisher

Thomas Telford Ltd.

Subject

Water Science and Technology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Up-to-date monitoring data of wastewater and stormwater quality in Germany;Water Research;2021-09

2. On estimation of population mean based on two measurements;Communications in Statistics - Theory and Methods;2017-07-24

3. Relationship Between Non-Point Source Pollution and Korean Green Factor;Terrestrial, Atmospheric and Oceanic Sciences;2015

4. Discussion: Prediction of long-term urban stormwater loads at single sites;Proceedings of the Institution of Civil Engineers - Water Management;2014-09

5. Editorial;Proceedings of the Institution of Civil Engineers - Water Management;2013-02

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