HUANGJi-lin,JIANGQing-song,ZHUTao,et al.Determination of Characteristic Rainfall at Urban Scale Based on Local Regression Method[J].China Water & Wastewater,2022,38(17):131-138.
Determination of Characteristic Rainfall at Urban Scale Based on Local Regression Method
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第38卷
Number:
第17期
Page:
131-138
Column:
Date of publication:
2022-09-01
- Keywords:
- characteristic rainfall; locally weighted linear regression; Logistic regression; cumulative distribution; Dianchi Basin
- Abstract:
- With the deep requirements of sponge city design, urban stormwater management and non-point source pollution control, scientific expression of characteristic rainfall is one of the key basic tasks. Characteristic rainfall refers to a single continuous rainfall process that can represent the statistical characteristics in a certain type of rainfall. The traditional short-duration rainstorm pattern design is not suitable for long-term rainfall analysis and cannot be used to identify typical rainfall patterns under different rainfall scenarios. Therefore, based on the hourly rainfall data of Dianchi Basin over the past 20 years, through the classification of rainfall types, the locally weighted linear regression method based on the cumulative distribution and Logistic regression processing was used to fit the rainfall process, identify the rainfall features under the multiple rainfall types, and eventually form the characteristic rainfall. The results showed that for different types of rainfall, the optimized locally weighted linear regression model could effectively identify the characteristics such as cumulative rainfall, rainfall duration and rainfall intensity, provide typical rainfall boundary conditions for runoff simulation, and play a supporting role in understanding the nature of urban rainfall and its related rainwater pollution and the strategies of non-point source control.
Last Update:
2022-09-01