An approach for prediction of flood hydrograph at outlet of an ungauged basin using modified dynamic wave model

Bharali, Biswadeep; Misra, Utpal Kumar

doi:10.1080/09715010.2021.1901250

Cited by 7 publications

(2 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous research has demonstrated that rivers with wide, deep channels can absorb and store more runoff water than conventional land drainage systems, allowing them to slowly spread out and decrease in volume [41,42]. Simultaneously, the flow path and curvature of rivers may also affect water retention time, with meandering rivers often being more conducive to enhancing flood regulation capabilities [27]. This mechanism effectively mitigates the impact of floods downstream.…”

Section: Spatial Processes Of Flood Regulationmentioning

confidence: 99%

“…This spatial process of flood flow follows the law of surface water dynamics [2], and most existing methods for estimating flood regulation ecosystem services are calculated through hydrological simulations [2,14,26]. Models such as the SCS-CN model and dynamic wave model are commonly used [15,27,28]. For instance, Bharali B. and Misra U.K [29] utilized a diffusive wave flood routing model to predict flood outflows in the Kulsi River Basin, India.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Navigating the ecosystem flood regulation service flows from subbasin to catchment in the Han River Basin

Liu,

Li,

Chen

2023

Environ. Res. Lett.

View full text Add to dashboard Cite

With the increasing cross-regional impact of climate change increasing in recent years, the Han River Basin, as a vital water resource supply and densely populated area in China, faces severe cross-regional flood threats and challenges. The systematic consideration of flood regulation throughout the entire upstream and downstream of the basin has become imminent. Our research aims to gain a deeper understanding of the ecosystem flood regulation service flows from upstream to downstream within subbasins and catchments scales of the Han River Basin. The results showed that the overflow path from upstream to downstream of the flood was basically consistent with the trend of the stream and the main tributaries of the Han River. It emerged that subbasins c, e, g, h and k were the key areas for the overall regulation of the upstream and downstream floods at subbasin scale. A total of 11 catchments overflow into their adjacent downstream catchments across the subbasins, a fact which is critical for catchment scale flood regulation. What’s more, there is evident interaction not only between adjacent subbasin and catchment units but also substantial exchange of service flows between non-adjacent units. Notably, catchment c’s flood regulation service flow was primarily contributed by its non-adjacent units. These findings not only contribute to filling the current knowledge gap in cross-watershed flood overflow and flood regulation service flows, but also provide support for the integrated response of upstream and downstream flood disaster risk management at the whole basin scale.

show abstract

Section: Spatial Processes Of Flood Regulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Navigating the ecosystem flood regulation service flows from subbasin to catchment in the Han River Basin

Liu,

Li,

Chen

2023

Environ. Res. Lett.

View full text Add to dashboard Cite

show abstract

Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions

Zhang

Liu

Tang

et al. 2022

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

With climate change leading to sea level rise and the frequent occurrence of extreme weather events, extreme flood disasters occur frequently in coastal cities, especially under the combined influence of heavy rainfall, fluvial floods, and storm surges. Compound floods from multiple sources are prone to superimposing effects, greatly aggravating the flooding. In addition, the influence of anthropogenic activities such as man-made flood control projects in coastal regions also need exploring. With Ling River Basin in the eastern coastal area of China as the case study, this study investigated the impacts of natural and human drivers on the spatio-temporal distribution of extreme floods based on a 1D-2D coupled hydrodynamic model. The hydrodynamic model was calibrated and validated based on historical flood events, then validated model was further used to reproduce the devastating flooding of Typhoon Lekima in 2019. Results show that the model has great capability and accuracy in simulating both the flood occurrence process and its inundation extent under natural and anthropogenic influence. It also indicates that the huge amount of discharge from the upper reaches of the Ling River was the main driver that caused the catastrophic consequences. Comparatively, the failure of flood protection measures (FPM), which was a human driver, aggravated the influence of floods in local regions. By assessing the individual and superimposed effects of natural and human drivers on flooding is helpful to enhance the resilience of flooded coastal areas.

show abstract

Flood risk assessment in the Karamana river basin, Kerala, using HEC-RAS

Vijayachandran

Singh

2023

Environ Monit Assess

View full text Add to dashboard Cite

An approach for prediction of flood hydrograph at outlet of an ungauged basin using modified dynamic wave model

Cited by 7 publications

References 35 publications

Navigating the ecosystem flood regulation service flows from subbasin to catchment in the Han River Basin

Navigating the ecosystem flood regulation service flows from subbasin to catchment in the Han River Basin

Assessment of the effects of natural and anthropogenic drivers on extreme flood events in coastal regions

Flood risk assessment in the Karamana river basin, Kerala, using HEC-RAS

Contact Info

Product

Resources

About