Development and Application of a Rainfall Temporal Disaggregation Method to Project Design Rainfalls

Jeonghoon Lee; Ung Tae Kim; Ung Tae Kim; Ung Tae Kim

doi:10.3390/w14091401

Development and Application of a Rainfall Temporal Disaggregation Method to Project Design Rainfalls

Jeonghoon Lee
, Ung Tae Kim
, Ung Tae Kim
, Ung Tae Kim

Civil And Environmental Engineering

Pukyong National University
Cleveland State University
First Street Foundation

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

A climate model is essential for hydrological designs considering climate change, but there are still limitations in employing raw temporal and spatial resolutions for small urban areas. To solve the temporal scale gap, a temporal disaggregation method of rainfall data was developed based on the Neyman–Scott Rectangular Pulse Model, a stochastic rainfall model, and future design rainfall was projected. The developed method showed better performance than the benchmark models. It produced promising results in estimating the rainfall quantiles for recurrence intervals of less than 20 years. Overall, the analysis results imply that extreme rainfall events may increase. Structural/nonstructural measures are urgently needed for irrigation and the embankment of new water resources.

Original language	English
Article number	1401
Journal	Water (Switzerland)
Volume	14
Issue number	9
DOIs	https://doi.org/10.3390/w14091401
State	Published - May 1 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

Keywords

RCMs
design rainfall
future rainfall
rainfall disaggregation
stochastic model

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10.3390/w14091401

Cite this

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abstract = "A climate model is essential for hydrological designs considering climate change, but there are still limitations in employing raw temporal and spatial resolutions for small urban areas. To solve the temporal scale gap, a temporal disaggregation method of rainfall data was developed based on the Neyman–Scott Rectangular Pulse Model, a stochastic rainfall model, and future design rainfall was projected. The developed method showed better performance than the benchmark models. It produced promising results in estimating the rainfall quantiles for recurrence intervals of less than 20 years. Overall, the analysis results imply that extreme rainfall events may increase. Structural/nonstructural measures are urgently needed for irrigation and the embankment of new water resources.",

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AB - A climate model is essential for hydrological designs considering climate change, but there are still limitations in employing raw temporal and spatial resolutions for small urban areas. To solve the temporal scale gap, a temporal disaggregation method of rainfall data was developed based on the Neyman–Scott Rectangular Pulse Model, a stochastic rainfall model, and future design rainfall was projected. The developed method showed better performance than the benchmark models. It produced promising results in estimating the rainfall quantiles for recurrence intervals of less than 20 years. Overall, the analysis results imply that extreme rainfall events may increase. Structural/nonstructural measures are urgently needed for irrigation and the embankment of new water resources.

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Development and Application of a Rainfall Temporal Disaggregation Method to Project Design Rainfalls

Abstract

UN SDGs

Keywords

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