Relationship of Rainfall and Flood Return Periods through Hydrologic and Hydraulic Modeling
In order to examine the relationship between rainfall return periods and flood return periods,
the design storm approach is compared to the rainfall–runoff continuous simulation and …
the design storm approach is compared to the rainfall–runoff continuous simulation and …
An extreme value prediction method based on clustering algorithm
B Dai, Y Xia, Q Li - Reliability Engineering & System Safety, 2022 - Elsevier
Extreme value prediction has been widely applied in many safety-critical scenarios. Due to
the influence of mixed types of events, the random variables oftentimes do not comply with …
the influence of mixed types of events, the random variables oftentimes do not comply with …
A fast data-driven tool for flood risk assessment in urban areas
Z Theodosopoulou, IM Kourtis, V Bellos… - Hydrology, 2022 - mdpi.com
Post-disaster flood risk assessment is extremely difficult owing to the great uncertainties
involved in all parts of the assessment exercise, eg, the uncertainty of hydrologic–hydraulic …
involved in all parts of the assessment exercise, eg, the uncertainty of hydrologic–hydraulic …
Fast parameter estimation of generalized extreme value distribution using neural networks
The heavy‐tailed behavior of the generalized extreme‐value distribution makes it a popular
choice for modeling extreme events such as floods, droughts, heatwaves, wildfires and so …
choice for modeling extreme events such as floods, droughts, heatwaves, wildfires and so …
[HTML][HTML] Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment
This study evaluates three Machine Learning (ML) models—Temporal Kolmogorov-Arnold
Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks …
Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks …
Combined impacts of climate variability modes on seasonal precipitation extremes over China
The joint effects of natural climate variability on the variations in seasonal precipitation
extremes across China during 1961–2017 were studied based on a non-stationary GEV …
extremes across China during 1961–2017 were studied based on a non-stationary GEV …
The role of teleconnection in the occurrence probability of extreme precipitation over China based on extreme value theory
X Kang, R Min, J Dai, X Gu - Frontiers in Environmental Science, 2022 - frontiersin.org
Non-stationarity of extreme climate events has been reported worldwide in recent decades,
and traditional stationary analysis methods are no longer sufficient to properly reveal the …
and traditional stationary analysis methods are no longer sufficient to properly reveal the …
[PDF][PDF] Relationship of Rainfall and Flood Return Periods through Hydrologic and Hydraulic Modeling. Water 2022, 14, 3618
In order to examine the relationship between rainfall return periods and flood return periods,
the design storm approach is compared to the rainfall–runoff continuous simulation and …
the design storm approach is compared to the rainfall–runoff continuous simulation and …
Changing of return periods of extreme rainfall using satellite observation in Java Island
G Giarno, ZN Ruslana… - E3S Web of …, 2023 - e3s-conferences.org
As a flood-prone area and a centre of activity in Indonesia, the high intensity of rainfall needs
to be watched out for. Excessive rainfall can lead to disastrous outcomes like floods and …
to be watched out for. Excessive rainfall can lead to disastrous outcomes like floods and …
[PDF][PDF] A Fast Data-Driven Tool for Flood Risk Assessment in Urban Areas. Hydrology 2022, 9, 147
Z Theodosopoulou, IM Kourtis, V Bellos… - 2022 - academia.edu
Post-disaster flood risk assessment is extremely difficult owing to the great uncertainties
involved in all parts of the assessment exercise, eg, the uncertainty of hydrologic–hydraulic …
involved in all parts of the assessment exercise, eg, the uncertainty of hydrologic–hydraulic …