Abstract
To understand the characteristics of severe floods under global climate change, we created a design hyetograph for a 100-year return period. This incorporates a modified ranking method using the top 10 extreme rainfall events for present, near-future, and far-future periods. The rainfall data sets were projected with a general circulation model with high spatial and temporal resolution and used with a flood model to simulate the higher discharge peaks for the top 10 events of each term in a local watershed. The conventional-like ranking method, in which only a dimensionless shape is considered for the creation of a design hyetograph for a temporal distribution of rainfall, likely results in overestimates of discharge peaks because, even with a lower peak of rainfall intensity and a smaller amount of cumulative rainfall, the distribution shape is the only the factor for the design hyetograph. However, the modified ranking method, which considers amounts of cumulative rainfalls, provides a discharge peak from the design hyetograph less affected by a smaller cumulative rainfall depth for extreme rainfall. Furthermore, the effects of global climate change indicate that future discharge peaks will increase by up to three times of those of Present-term peaks, which may result in difficult flood control for the downstream river reaches.
| Original language | English |
|---|---|
| Pages (from-to) | 345-366 |
| Number of pages | 22 |
| Journal | Water (Switzerland) |
| Volume | 6 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jan 1 2014 |
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All Science Journal Classification (ASJC) codes
- Biochemistry
- Geography, Planning and Development
- Aquatic Science
- Water Science and Technology
Cite this
Hydrological flood simulation using a design hyetograph created from extreme weather data of a high-resolution atmospheric general circulation model. / Kimura, Nobuaki; Tai, Akira; Chiang, Shen; Wei, Hsiao Ping; Su, Yuan Fong; Cheng, Chao Tzuen; Kitoh, Akio.
In: Water (Switzerland), Vol. 6, No. 2, 01.01.2014, p. 345-366.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Hydrological flood simulation using a design hyetograph created from extreme weather data of a high-resolution atmospheric general circulation model
AU - Kimura, Nobuaki
AU - Tai, Akira
AU - Chiang, Shen
AU - Wei, Hsiao Ping
AU - Su, Yuan Fong
AU - Cheng, Chao Tzuen
AU - Kitoh, Akio
PY - 2014/1/1
Y1 - 2014/1/1
N2 - To understand the characteristics of severe floods under global climate change, we created a design hyetograph for a 100-year return period. This incorporates a modified ranking method using the top 10 extreme rainfall events for present, near-future, and far-future periods. The rainfall data sets were projected with a general circulation model with high spatial and temporal resolution and used with a flood model to simulate the higher discharge peaks for the top 10 events of each term in a local watershed. The conventional-like ranking method, in which only a dimensionless shape is considered for the creation of a design hyetograph for a temporal distribution of rainfall, likely results in overestimates of discharge peaks because, even with a lower peak of rainfall intensity and a smaller amount of cumulative rainfall, the distribution shape is the only the factor for the design hyetograph. However, the modified ranking method, which considers amounts of cumulative rainfalls, provides a discharge peak from the design hyetograph less affected by a smaller cumulative rainfall depth for extreme rainfall. Furthermore, the effects of global climate change indicate that future discharge peaks will increase by up to three times of those of Present-term peaks, which may result in difficult flood control for the downstream river reaches.
AB - To understand the characteristics of severe floods under global climate change, we created a design hyetograph for a 100-year return period. This incorporates a modified ranking method using the top 10 extreme rainfall events for present, near-future, and far-future periods. The rainfall data sets were projected with a general circulation model with high spatial and temporal resolution and used with a flood model to simulate the higher discharge peaks for the top 10 events of each term in a local watershed. The conventional-like ranking method, in which only a dimensionless shape is considered for the creation of a design hyetograph for a temporal distribution of rainfall, likely results in overestimates of discharge peaks because, even with a lower peak of rainfall intensity and a smaller amount of cumulative rainfall, the distribution shape is the only the factor for the design hyetograph. However, the modified ranking method, which considers amounts of cumulative rainfalls, provides a discharge peak from the design hyetograph less affected by a smaller cumulative rainfall depth for extreme rainfall. Furthermore, the effects of global climate change indicate that future discharge peaks will increase by up to three times of those of Present-term peaks, which may result in difficult flood control for the downstream river reaches.
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UR - http://www.scopus.com/inward/citedby.url?scp=84894849022&partnerID=8YFLogxK
U2 - 10.3390/w6020345
DO - 10.3390/w6020345
M3 - Article
AN - SCOPUS:84894849022
VL - 6
SP - 345
EP - 366
JO - Water (Switzerland)
JF - Water (Switzerland)
SN - 2073-4441
IS - 2
ER -