Article
Environmental Sciences
Shahin Khosh Bin Ghomash, Daniel Bachmann, Daniel Caviedes-Voullieme, Christoph Hinz
Summary: This study explores the extent to which spatiotemporal variability of intense rainfall affects runoff and flooding. Synthetic rainfall signals with different hyetograph variabilities are generated and applied to a hydrodynamic model for simulations in the Kan catchment in Tehran, Iran. The results indicate that temporal and spatial variability have different degrees of impact on runoff response and floodplain extents, with temporal variability showing a significantly higher effect than spatial variability. Furthermore, the influence of storm spatiotemporal variability on stream discharge and flood response is found to depend on the location within the drainage network.
Article
Environmental Sciences
Yong-Man Won, Jung-Hwan Lee, Hyeon-Tae Moon, Young-Il Moon
Summary: Early and accurate flood forecasting and warning are crucial for reducing flood damage in urban flood risk areas. This study presents a process for urban flood forecasting and warning in South Korea, using a combination of rainfall-runoff and deep learning models. The process involves constructing accurate physical models and analyzing various rainfall scenarios to determine accurate flood warning criteria. Deep learning models, including vanilla ANN, LSTM, Stack-LSTM, and Bidirectional LSTM, were used to forecast and warn of flood risks based on water level data. The bidirectional LSTM model showed the highest accuracy with an R-2 value of 0.9 for a 30-minute lead time. This research aims to contribute to reducing casualties and flood damage, and can be extended to other urban flood risk areas.
Article
Engineering, Civil
Yuting Chen, Athanasios Paschalis, Li-Pen Wang, Christian Onof
Summary: Stochastic rainfall models are widely used in long-term flood risk management, but their simplifications in describing rainfall structure may introduce biases in flood estimation. This study quantified the biases introduced by rainfall model limitations in two medium-sized river catchments in the UK and found a bias in extreme areal statistics while also showing good fit in flow duration curves and flood frequency curves.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Environmental
Duc Anh Dao, Dongkyun Kim, Dang Hai Ha Tran
Summary: A study proposed a simple mathematical equation for Rainfall Threshold for Flood Warning in small urban watersheds based on computer simulations, aiming to improve the accuracy of flood warning systems.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Environmental Sciences
Shahin Khosh Bin Ghomash, Daniel Bachmann, Daniel Caviedes-Voullieme, Christoph Hinz
Summary: Rainfall's spatiotemporal variability plays a key role in catchment runoff and flood response. This study assesses the sensitivity of runoff and flooded areas to rainfall movement in the Kan catchment (Iran). The results show that rainfall movement affects the runoff response, with higher velocities resulting in higher peaks and faster onsets of runoff. The direction of movement also plays a role, with storms moving along the average direction of the stream resulting in higher peaks and flooded areas. The influence of rainfall movement is also modulated by hyetograph structure and location within the drainage network.
Article
Environmental Sciences
Felipe Quintero, Nicolas Velasquez
Summary: This paper introduces the HLM-Tetis model structure and its improvements over the previous HLM model structure. By adding modules to simulate snow processes, improving flexibility in simulating infiltration and percolation, and enhancing flexibility in deriving total runoff, the model has been applied to flood events in five basins in Iowa where previous model structures had limitations.
Review
Environmental Sciences
Aleska Kaufmann Almeida, Isabel Kaufmann de Almeida, Jose Antonio Guarienti, Sandra Garcia Gabas
Summary: This article provides an unprecedented review of the application of time of concentration (Tc) in various lines of research related to water resources worldwide, with a total of 1252 publications listed and classified into 12 topics. Additionally, 125 equations used for estimating Tc in related publications were listed as well.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Engineering, Civil
Conrad Wasko, Yawen Shao, Elisabeth Vogel, Louise Wilson, Q. J. Wang, Andrew Frost, Chantal Donnelly
Summary: Changes in the hydrologic cycle have significant impacts on agricultural productivity, water resources availability, and environmental management in Australia. While northern parts of Australia have experienced increasing rainfall and water availability, the southwest and southeast coast have seen declines in rainfall, affecting runoff and soil moisture. Standardised runoff index indicates increasing streamflow droughts across large parts of Australia.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Ray-Shyan Wu, You-Yu Sin, Jing-Xue Wang, Yu-Wen Lin, Hsing-Chuan Wu, Riyan Benny Sukmara, Lina Indawati, Fiaz Hussain
Summary: This study presents a methodology to improve flood forecasting results by using radar rainfall calculated in three different ways. Analysis of typhoon events in Fengshan River Basin, Taiwan shows that the third method of QPF calculation achieves the lowest flood peak error, making it suitable for flood early warning systems. The impact of real-time correction on flow and water level is assessed, with results indicating a conservative approach for flood warning. QPF rainfall correction/calculation is deemed more important for accurate flood forecasting.
Article
Engineering, Civil
Herve Andrieu, Roger Moussa, Pierre-Emmanuel Kirstetter
Summary: This study introduces a method for identifying the Geomorphological Instantaneous Unit Hydrograph specific to each flood event by extending the application of GIUH to individual hydrological events and accounting for the influence of rainfall spatial distribution. Results from applying this method to several flood events in two mountainous catchments indicate significant variability in the E-GIUHs over the basins, with E-GIUH parameters appearing to be correlated with flood event magnitude.
JOURNAL OF HYDROLOGY
(2021)
Article
Environmental Sciences
Jiqiang Lyu, Shanshan Yin, Yutong Sun, Kexin Wang, Pingping Luo, Xiaolan Meng
Summary: This study examined the impacts of hydrological surface condition changes and climate change on flood runoff in a 45,421-km(2) watershed in the Loess Plateau region. Statistical methods were used to analyze the relationship between climatic variables, NDVI, LUCC data, and observed flood runoff. A rainfall-runoff model was used to quantify hydrologic responses to climatic variability and land-use change. The results showed that climatic variables did not significantly change over the study period. However, due to LUCC and climate change, peak discharges and flood volumes decreased in the study area.
Article
Engineering, Civil
Chia -Wen Wu, Frederick N. -F. Chou
Summary: This study proposes a method to detect and remove systematic outliers in rainfall measurement using a conceptual rainfall-runoff model. It utilizes downstream observed reservoir inflow to supervise the detection and cleansing of upstream rain measurements. The method aims to remove outliers that significantly improve runoff simulation precision to meet the required accuracy. It can be used to purify historical rain data for hydrological studies and estimate current floodwater detained in the watershed for real-time flood management.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Civil
Yuanhao Xu, Kairong Lin, Caihong Hu, Shuli Wang, Qiang Wu, Li Zhang, Guang Ran
Summary: There is a significant disparity in the distribution of flood observations and basin characteristics data. Transferring hydrological knowledge from data-rich to data-sparse basins has always been a challenge. This study proposes a Transfer Learning Framework based on Transformer (TL-Transformer) that can accurately predict flooding in data-sparse basins using models from data-rich basins.
JOURNAL OF HYDROLOGY
(2023)
Article
Water Resources
A. L. Kay, A. Griffin, A. C. Rudd, R. M. Chapman, V. A. Bell, N. W. Arnell
Summary: Research suggests that in the future, there is generally a trend of decreasing low flows and increasing high flows in the UK. There is significant regional variation in these changes, with the south/east regions showing a more pronounced decrease in low flows. Significant variation within regions, likely related to catchment properties, has also been observed.
ADVANCES IN WATER RESOURCES
(2021)
Article
Meteorology & Atmospheric Sciences
Setareh Amini, Asghar Azizian, Peyman Daneshkar Arasteh
Summary: Accurate precipitation forecasting is crucial for developing meteorological and hydrological early warning systems. This study evaluated the reliability of global precipitation forecasts in different climate and topographic regions of Iran, and assessed the performance of predicting extreme rainfall events.
METEOROLOGICAL APPLICATIONS
(2021)