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作者:

Liu, Xingpo (Liu, Xingpo.) | Shen, Liang (Shen, Liang.) | Zang, Wenke (Zang, Wenke.) | Zhou, Yuwen (Zhou, Yuwen.)

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EI Scopus SCIE

摘要:

Nowadays, many cities in China are facing the challenge of returning black and odorous waters during the rainy seasons. Combined sewer overflow (CSO) was one of the critical triggers. In this study, a new method for estimating frequency distribution of the excess rainfall intensity considering double thresholds (ERId in short) was proposed, which is helpful for estimating severity of CSO. For the specific interceptor well, the upper threshold is the design areal unit discharge (the equivalent rainfall intensity) of its upstream combined sewer and the lower one is the design areal unit discharge of its downstream interceptor sewers minus dry weather flow rate. First, rainfall events were divided and the minimum inter-event time (MIET) was set based on the time of concentration of the combined sewer catchment. Second, double-threshold method was used for ERId calculation and sampling for scenario of 30- minute CSO duration. Finally, the empirical frequency of the sampled ERId(30) was calculated by the mathematical expectation formula (Weibull formula) and five functions (doubly censored exponential distribution, exponential function, Gumbel distribution, Weibull distribution and lognormal distribution) were used for comparison to obtain the best theoretical frequency distribution. Results revealed that: (1) The excess rainfall intensity of double thresholds (ERId) is suitable for characterizing CSO. (2) The frequency distribution of ERId was right (positively) skewed. (3) The kurtosis of the ERId samples is not greater than 3 for all the thresholds studied, which indicates that the distribution is thin-tailed. (4) The optimal frequency distribution function for ERId is doubly censored exponential distribution.

关键词:

The Doubly Censored Exponential Distribution The Combined Interceptor well Excess Rainfall Intensity of Double Thresholds (ERId) Combined Sewer Overflow (CSO) Return Period

作者机构:

  • [ 1 ] [Liu, Xingpo]Shanghai Maritime Univ, Coll Ocean Sci & Engn, Shanghai 201306, Peoples R China
  • [ 2 ] [Shen, Liang]Shanghai Maritime Univ, Coll Ocean Sci & Engn, Shanghai 201306, Peoples R China
  • [ 3 ] [Zang, Wenke]Shanghai Maritime Univ, Coll Ocean Sci & Engn, Shanghai 201306, Peoples R China
  • [ 4 ] [Zhou, Yuwen]Beijing Univ Technol, Coll Architectural & Civil Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Liu, Xingpo]Shanghai Maritime Univ, Coll Ocean Sci & Engn, Shanghai 201306, Peoples R China;;

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来源 :

WATER RESOURCES MANAGEMENT

ISSN: 0920-4741

年份: 2024

期: 11

卷: 38

页码: 4379-4392

4 . 3 0 0

JCR@2022

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SCOPUS被引频次: 1

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