4.7 Article

Theoretical relationships between rainfall intensity and kinetic energy variants associated with stormwater particle washoff

期刊

JOURNAL OF HYDROLOGY
卷 340, 期 1-2, 页码 40-47

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ELSEVIER
DOI: 10.1016/j.jhydrol.2007.03.019

关键词

rainfall kinetic energy; momentum; stormwater; particle washoff; drop size distribution

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Previous studies have identified rainfall intensity as a contributing factor to the amount of suspended particles washed from urban areas during storms. Moreover, it has been postulated that the square of rainfall intensity (I-2) provides a measure of the rainfall kinetic energy (KE) available for washoff processes. This paper provides a theoretical. analysis of the potential inter-relationships between I-2 and rainfall KE. A hypothetical raindrop size distribution (DSD) was used to derive rainfall energy characteristics. A special form of the Marshall-Palmer DSD was developed that ensured conservation of rainfall mass over the analyzed range of rainfall intensities. This 'conserved rainfall mass' DSD was used to calculate the specific KE variants of rainfall (the time-specific KE, and the volume-specific KEp). It was found that KE, has a log(e)-based relationship with rainfall intensity. Empirical relationships widely used in soil erosion studies have generally adopted a log(10) basis. A direct relationship between the two KE variants and I-2 appears to be absent. A new KE variant (KEIA) is proposed and it is demonstrated that this variant supports the hypothesis that I-2 is a measure of the KE of rainfall. KEIA is the kinetic energy potentially transferred from raindrops to the proportion of the unit area impacted at a specific instant in time. It is a function of KE, and raindrop circumferential area. Relationships based on variants of rainfall momentum M are also investigated. The relationship between M-I and KEI is nearly linear as a fitted power function has an exponent close to unity (equal to 0.93). This suggests KE and M could be effectively interchangeable if used in particle washoff estimation. Crown Copyright (c) 2007 Published by Elsevier B.V. All rights reserved.

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