Large-scale flood hazard assessment under climate change: A case study

AS Toosi, S Doulabian, EG Tousi, GH Calbimonte… - Ecological …, 2020 - Elsevier
Climate change represents a set of mechanisms that result in significant impacts toward
hydrologic processes both at global and regional scales and usually they are developing …

High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation

S Kim, H Shen, S Noh, DJ Seo, E Welles, E Pelgrim… - Journal of …, 2021 - Elsevier
We assess the impact of increasing the resolution of hydrologic modeling, calibration of
selected model parameters and assimilation of streamflow observation toward event-based …

Comparative study on the machine learning and regression-based approaches to predict the hydraulic jump sequent depth ratio

S Baharvand, A Jozaghi, R Fatahi-Alkouhi… - Iranian Journal of …, 2021 - Springer
The hydraulic jump phenomenon plays a significant role in dissipating the energy of the
upstream current in either natural or artificial waterways. River's bed roughness is defined as …

Multi-model streamflow prediction using conditional bias-penalized multiple linear regression

A Jozaghi, H Shen, M Ghazvinian, DJ Seo… - … Research and Risk …, 2021 - Springer
Objective merging of multiple forecasts to improve forecast accuracy is of large interest in
many disciplines. Multiple linear regression (MLR) is an extremely attractive technique for …

[HTML][HTML] Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding

M El Gharamti, JL McCreight, SJ Noh… - Hydrology and Earth …, 2021 - hess.copernicus.org
Predicting major floods during extreme rainfall events remains an important challenge.
Rapid changes in flows over short timescales, combined with multiple sources of model …

Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables

Y Hassanzadeh, M Ghazvinian, A Abdi… - arXiv preprint arXiv …, 2020 - arxiv.org
Drought is a natural creeping threat with numerous damaging effects in various aspects of
human life. Accurate drought prediction is a promising step in helping policy makers to set …

Error modeling and hierarchical Bayesian fusion for spaceborne and ground radar rainfall data

L Kou, Y Mao, Z Lin, H Gao, Z Chu, A Chen - Journal of Hydrology, 2024 - Elsevier
The optimal fusion of multisource rainfall data can improve the accuracy and resolution of a
posteriori estimates, which is beneficial for hydrological and meteorological applications. In …

Real-time bias correction of rainfall nowcasts using biward tracking method

W Na, C Yoo - Journal of Hydrology, 2023 - Elsevier
In the rainfall nowcasting, various error sources cause high uncertainty and bias of rainfall
nowcasts. This study proposes a novel user-friendly and post-processing approach for …

Culvert renewal with cementitious-geopolymer spray–applied pipe lining: Field data collection and assessment

Z Kohankar Kouchesfehani… - Journal of Pipeline …, 2021 - ascelibrary.org
A structurally spray-applied pipe lining (SAPL) is a trenchless method to inhibit further
deterioration and structurally renew deteriorated pipes, culverts, and drainage structures …

[图书][B] Development of a structural design methodology for polymeric spray applied pipe linings

ZK Kouchesfehani - 2020 - search.proquest.com
Buried culverts are important components of the highway infrastructure. Most large culverts
are built decades ago from corrugated metal or reinforced concrete materials and now have …