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Title: Development of a New Event-Based Rainfall-Runoff Equation Based on Average Rainfall Intensity During an Event
Authors: Shokri, Ali
Issue Date: 2023
Publisher: Springer
Abstract: Event-based rainfall-runoff models are practical tools commonly used to predict catchments’ response to a rainfall event. However, one of the main concerns is that the characteristics of rain events are neglected in the model development. This paper develops a novel event-based rainfall-runoff equation to incorporate rainfall characteristics into account. The performance of the new equation is evaluated based on the root mean square error, Nash–Sutcliffe efficiency coefficient, and per cent bias for 13,339 rainfall-runoff events between 2005 and 2020 over 23 catchments across New Zealand and Australia with oceanic, mediterranean, tropical, subtropical, and semiarid climates.
Description: CC-BY
URI: https://link.springer.com/article/10.1007/s10666-023-09876-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8737
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