TY - JOUR
T1 - SEASONAL VARIATION OF FLOOD ESTIMATES IN THE UK
AU - Chen, Mengzhu
AU - Jun, Changhyun
AU - Woods, Ross
AU - Macdonald, Neil
AU - Kim, Joon Sik
N1 - Publisher Copyright:
© 2019, IAHR.
PY - 2019
Y1 - 2019
N2 - Flood is one of the most common and significant natural disasters in the world. Over recent decades, accelerated population growth and changes in land use patterns have resulted in increased human vulnerability to floods. Flood estimates are essential for a range of engineering design and planning purposes, including hydraulic structures construction, flood-plain management and flood risk mapping. Even though accurate flood estimates can reasonably reduce potential flood risk by improving the reliability of flood mitigation methods, previous research indicates that conventional methods for flood estimation in the UK still contain uncertainties. This study analyses the seasonal variation of flood estimates at 62 catchments distributed throughout the UK aiming to provide new knowledge and information for improving flood estimation in the UK. The flood seasonality has been investigated from hourly river flow records by using Generalised Logistic (GL) flood frequency curves derived from L-moments. The results indicate that the monthly variation in index flood, parameter k and p for the GL flood frequency curves can reflect a distinct seasonality in river flooding of most parts in the UK. The general trend is that the flood risk is high in winter, and low in summer.
AB - Flood is one of the most common and significant natural disasters in the world. Over recent decades, accelerated population growth and changes in land use patterns have resulted in increased human vulnerability to floods. Flood estimates are essential for a range of engineering design and planning purposes, including hydraulic structures construction, flood-plain management and flood risk mapping. Even though accurate flood estimates can reasonably reduce potential flood risk by improving the reliability of flood mitigation methods, previous research indicates that conventional methods for flood estimation in the UK still contain uncertainties. This study analyses the seasonal variation of flood estimates at 62 catchments distributed throughout the UK aiming to provide new knowledge and information for improving flood estimation in the UK. The flood seasonality has been investigated from hourly river flow records by using Generalised Logistic (GL) flood frequency curves derived from L-moments. The results indicate that the monthly variation in index flood, parameter k and p for the GL flood frequency curves can reflect a distinct seasonality in river flooding of most parts in the UK. The general trend is that the flood risk is high in winter, and low in summer.
KW - Flood estimates
KW - Flood risk
KW - Generalised logistic distribution
KW - Seasonality
KW - UK
UR - http://www.scopus.com/inward/record.url?scp=85145603287&partnerID=8YFLogxK
U2 - 10.3850/38WC092019-1505X
DO - 10.3850/38WC092019-1505X
M3 - Conference article
AN - SCOPUS:85145603287
SN - 2521-7119
SP - 4986
EP - 4993
JO - Proceedings of the IAHR World Congress
JF - Proceedings of the IAHR World Congress
T2 - 38th IAHR World Congress, 2019
Y2 - 1 September 2019 through 6 September 2019
ER -