Flood management and a GIS modelling method to assess flood-hazard areas—a case study

NN Kourgialas, GP Karatzas - Hydrological Sciences Journal …, 2011 - Taylor & Francis
This paper presents a viable approach for flood management strategy in a river basin based
on the European Floods Directive. A reliable flood management plan has two …

A systematic review of Muskingum flood routing techniques

A Salvati, A Moghaddam Nia… - Hydrological …, 2024 - Taylor & Francis
Flood routing is an important topic in engineering hydrology and an integral part of flood
management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge …

A hybrid data-driven deep learning prediction framework for lake water level based on fusion of meteorological and hydrological multi-source data

Z Yao, Z Wang, T Wu, W Lu - Natural Resources Research, 2024 - Springer
Accurate prediction of lake water level is of great significance for flood prevention, reservoir
scheduling, and ecological protection. However, the change in lake water level is influenced …

A conceptual and neural network model for real-time flood forecasting of the Tiber River in Rome

G Napolitano, L See, B Calvo, F Savi… - … of the Earth, Parts A/B/C, 2010 - Elsevier
Rome is at risk from flooding when extreme events with a return period of about 200years
occur. For this reason, an accurate real-time flood forecasting system may be a useful non …

Development of the Jamuneswari flood forecasting system: Case study in Bangladesh

MM Rahman, NK Goel, DS Arya - Journal of Hydrologic …, 2012 - ascelibrary.org
A flood forecasting system has been developed using MIKE11 river-modeling software
modules rainfall-runoff (RR)[or Nedbor-Afstromnings model (NAM)], hydrodynamic (HD) …

Investigating river water quality assessment through non‐parametric analysis: A case study of the Godavari River in India

P Modi, MR Chintalacheruvu - Environmental Quality …, 2024 - Wiley Online Library
This study examines temporal variations in water quality parameters of Godavari River. The
present study examines the concentrations of seven water quality parameters, namely total …

Predicting hourly-based flow discharge hydrographs from level data using genetic algorithms

G Tayfur, T Moramarco - Journal of Hydrology, 2008 - Elsevier
This study developed a genetic algorithm model to predict flow rates at sites receiving
significant lateral inflow. It predicts flow rate at a downstream station from flow stage …

Case Study: Improving real-time stage forecasting Muskingum model by incorporating the Rating Curve Model

S Barbetta, T Moramarco, M Franchini… - Journal of Hydrologic …, 2011 - ascelibrary.org
Analysis of forecasts obtained by a forecasting model called STAFOM, a Muskingum-type
model for real-time application, shows that the model provides accurate forecast stage …

Real-time flood forecasting of the Tiber river in Rome

B Calvo, F Savi - Natural hazards, 2009 - Springer
An adaptive, conceptual model for real-time flood forecasting of the Tiber river in Rome is
proposed. This model simulates both rainfall-runoff transformations, to reproduce the …

Real-time flood stage forecasting by Variable Parameter Muskingum Stage hydrograph routing method

M Perumal, T Moramarco, S Barbetta… - Hydrology …, 2011 - iwaponline.com
The application of a Variable Parameter Muskingum Stage (VPMS) hydrograph routing
method for real-time flood forecasting at a river gauging site is demonstrated in this study …