The Frequency Distribution Estimation Method of Excess Rainfall Intensity of Double Thresholds (ERId) for Combined Sewer Overflow

被引:0
|
作者
Liu, Xingpo [1 ]
Shen, Liang [1 ]
Zang, Wenke [1 ]
Zhou, Yuwen [2 ]
机构
[1] Shanghai Maritime Univ, Coll Ocean Sci & Engn, Shanghai 201306, Peoples R China
[2] Beijing Univ Technol, Coll Architectural & Civil Engn, Beijing 100124, Peoples R China
基金
中国国家自然科学基金;
关键词
Combined Sewer Overflow (CSO); Excess Rainfall Intensity of Double Thresholds (ERId); The Combined Interceptor well; Return Period; The Doubly Censored Exponential Distribution;
D O I
10.1007/s11269-024-03870-4
中图分类号
TU [建筑科学];
学科分类号
0813 ;
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.
引用
收藏
页码:4379 / 4392
页数:14
相关论文
共 7 条
  • [1] A Method For Estimating Excess Rainfall Intensity (ERI) of Combined Sewer Overflow (CSO) Based on Peak Over Threshold (POT) Sampling And The Generalized Pareto Distribution (GPD)
    Liu, Xingpo
    Zang, Wenke
    Zhou, Yuwen
    WATER RESOURCES MANAGEMENT, 2024, 38 (03) : 1045 - 1060
  • [2] A Method For Estimating Excess Rainfall Intensity (ERI) of Combined Sewer Overflow (CSO) Based on Peak Over Threshold (POT) Sampling And The Generalized Pareto Distribution (GPD)
    Xingpo Liu
    Wenke Zang
    Yuwen Zhou
    Water Resources Management, 2024, 38 : 1045 - 1060
  • [3] Characteristics of antibiotic resistance gene distribution in rainfall runoff and combined sewer overflow
    Xin-rong Pan
    Lei Chen
    Li-ping Zhang
    Jian-e Zuo
    Environmental Science and Pollution Research, 2023, 30 : 30766 - 30778
  • [4] Characteristics of antibiotic resistance gene distribution in rainfall runoff and combined sewer overflow
    Pan, Xin-rong
    Chen, Lei
    Zhang, Li-ping
    Zuo, Jian-e
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (11) : 30766 - 30778
  • [5] Simple Method for Calculating Hydraulic Behavior of Combined Sewer Overflow from Rainfall Event Data
    Yu, Yang
    Zhang, Shangzhong
    An, Alicia Kyoungjin
    Furumai, Hiroaki
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2018, 144 (10)
  • [6] Predicting combined sewer overflow occurrences using rainfall depth and maximum intensity: a case study of Buffalo, USA
    Chun, Soo Bin
    Zhu, Zhenduo
    Ghodsi, Seyed Hamed
    URBAN WATER JOURNAL, 2024, 21 (02) : 244 - 250
  • [7] A Method to Linearly Evaluate Rainfall Frequency-Intensity Distribution
    Li, Jian
    Yu, Rucong
    JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2014, 53 (04) : 928 - 934