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Correction to: Water dynamics at the urban soil-atmosphere interface—rainwater storage in paved surfaces and its dependence on rain event characteristics

Authors :
Fabian Kraus
Andre Peters
Thomas Nehls
Yong Nam Rim
Source :
Journal of Soils and Sediments. 21:2165-2165
Publication Year :
2020
Publisher :
Springer Science and Business Media LLC, 2020.

Abstract

The surface store governs the rainwater partition, e.g., water storage and evaporation on paved surfaces, especially for low-intensity and low-sum rain events, which account for the greatest part of the total rainfall in a temperate climate city like Berlin, Germany. The surface store S is a fixed value, dependent on surface relief and pore system characteristics. Contrary, in this study, the surface storage was assumed to depend also on the rain intensity, thus being variable from event to event. The surface store filling dynamics for dense (DP), porous (PP), and highly infiltrative (IP) paving materials were studied in a rainfall simulator. Irrigation intensities p ranged from 0.016 to 0.1 mm min−1 which represent the 25 to 88% quantiles of the rain event distribution in Berlin, Germany (1961 to 1990). Three surface stores can be separated: storage until initial runoff, Sf, at maximum filling, Sm, and for steady-state runoff, Seq—all of them can be regarded as effective stores depending on the aim of its use. The equilibrium store varies from 0.2 to 3 mm for DP, PP, and IP for the investigated rainfall intensities. For all pavers, the surface store depends on rainfall intensity, which was shown experimentally and confirmed by numerical simulation of the infiltration. We introduce a simple and robust method to describe Sf, Sm = f(p) for different pavers. Pavers can evaporate a multiple of their surface store per day, depending on the rainfall distribution, which implicates the need for high temporal resolutions in urban hydrology modeling. Pavers can evaporate a multiple of their surface store per day, depending on the rainfall distribution. That implicates the need for high temporal resolutions in urban hydrology modeling.

Details

ISSN :
16147480 and 14390108
Volume :
21
Database :
OpenAIRE
Journal :
Journal of Soils and Sediments
Accession number :
edsair.doi...........41042b5493f771ca2542a927ba75b6cb