Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Analysis of Generalized Extreme Value Distribution to Estimate Storm Sewer Capacity Under Climate Change

기후변화에 따른 하수관거시설의 계획우수량 산정을 위한 일반극치분포 분석

  • 이학표 (하수관거 관리기술연구단) ;
  • 류재나 (하수관거 관리기술연구단) ;
  • 유순유 (하수관거 관리기술연구단) ;
  • 박규홍 (중앙대학교 사회기반시스템공학부)
  • Published : 2012.04.16
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Abstract

In this study, statistical analysis under both stationary and non-stationary climate was conducted for rainfall data measured in Seoul. Generalised Extreme Value (GEV) distribution and Gumbel distribution were used for the analysis. Rainfall changes under the non-stationary climate were estimated by applying time variable (t) to location parameter (${\xi}$). Rainfall depths calculated in non-stationary climate increased by 1.1 to 6.2mm and 1.0 to 4.6mm for the GEV distribution and gumbel distribution respectively from those stationary forms. Changes in annual maximum rainfall were estimated with rate of change in the location parameter (${\xi}1{\cdot}t$), and temporal changes of return period were predicted. This was also available for re-evaluating the current sewer design return period. Design criteria of sewer system was newly suggested considering life expectance of the system as well as temporal changes in the return period.

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  2. Prediction of Return Periods of Sewer Flooding Due to Climate Change in Major Cities vol.30, pp.1, 2016, https://doi.org/10.11001/jksww.2016.30.1.041
  3. A study on the application of the extreme value distribution model for analysis of probability of exceeding the facility capacity vol.30, pp.4, 2016, https://doi.org/10.11001/jksww.2016.30.4.369