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作 者:曾祥国 罗艳 高艳 刘欢 李志一 杨婷婷 ZENG Xiang-guo;LUO Yan;GAO Yan;LIU Huan;LI Zhi-yi;YANG Ting-ting(Wuhan Planning&Design Co.,Ltd.,Wuhan 430000,China;Beijing Tsinghuan Smart Water Technology Co.,Ltd.,Beijing 100086,China)
机构地区:[1]武汉市规划设计有限公司,湖北武汉430000 [2]北京清环智慧水务科技有限公司,北京100086
出 处:《水电能源科学》2024年第8期110-113,16,共5页Water Resources and Power
摘 要:针对污水管网降雨日发生的雨水入流现象开展定量评估,讨论了旱天标准曲线的选择对定量结果的影响。基于在线监测方法,获取了14个地块100 d的监测数据,实现了对污水管道中入流雨水的定量分析;同时以4种不同的旱天标准曲线为基准数据分别进行计算,分析了降雨入流入渗结果的差异性。结果表明,基准数据的选择会导致降雨入流入渗定量计算结果产生差异;以降雨日“最近一周旱天”的监测数据为基准数据开展降雨入流入渗的计算和分析评估,是较为合理的选择;QV检测结果与基于监测数据的评估结果基本吻合,证明监测评估方法具有可靠性。A quantitative assessment was conducted on the phenomenon of rainwater inflow during rainy days in the sewage pipeline network,and the impact of selecting the standard curve for dry days on the quantitative results was discussed.Based on online monitoring methods,100 days monitoring data of 14 plots were obtained to achieve quantitative analysis of incoming rainwater(RDII)in sewage pipelines.At the same time,four different dry weather standard curves were used as benchmark data for calculation,and the differences in RDII results were analyzed.The results indicate that the selection of benchmark data can lead to differences in the quantitative calculation results of RDII;It is a reasonable choice to use the monitoring data of the"recent dry day of the week"as the benchmark data for analyzing RDII;The QV detection results are basically consistent with the evaluation results based on monitoring data,proving the reliability of the monitoring and evaluation method.
分 类 号:TV672.2[水利工程—水利水电工程]
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