English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Recently, rainfall runoff models have been introduced for planning a storm sewer network in an urban areas because they can calculate the flood hydrograph as well as peak flow. This would solve the flood problem for the entire watershed. While a rainfall hyetograph is an essential input to a rainfall-runoff model, there is no proper guideline for an urban area on how to obtain a rainfall hyetograph from a temporal distribution of probable rainfall. The purpose of this study is to suggest an appropriate method for temporal distribution of probable rainfall for a storm sewer network. Thus, Huff’s quartile method, which is widely used in practice, and the alternating block method (ABM), which is known to be reasonable for planning mediumor small-scale drainage facilities, were compared. The two estimation results were used for the comparison: the probable rainfall amounts by duration; the peak flows from arbitrary watersheds. The results showed that the ABM was more appropriate than the Huff method from three perspectives: reproducibility of actual rainfall phenomena, accuracy of peak flow estimates for small drainage areas in urban regions, and consideration of continuity for the storm sewer network. These results may contribute to enhance planning methods for a storm sewer network in urban areas.

A Temporal Distribution Method of Probable Rainfall for Planning a Storm Sewer Network in an Urban Area