Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model

This study aims at proposing novel approaches for integrating qualitative flow observations in a lumped hydrologic routing model and assessing their usefulness for improving flood estimation. Routing is based on a three-parameter Muskingum model used to propagate streamflow in five different rivers in the United States. Qualitative flow...

Exploring the influence of citizen involvement on the assimilation of crowdsourced observations: A modelling study based on the 2013 flood event in the Bacchiglione catchment (Italy)

To improve hydrological predictions, real-time measurements derived from traditional physical sensors are integrated within mathematic models. Recently, traditional sensors are being complemented with crowdsourced data (social sensors). Although measurements from social sensors can be low cost and more spatially distributed, other factors like...

Can assimilation of crowdsourced data in hydrological modelling improve flood prediction?

Monitoring stations have been used for decades to properly measure hydrological variables and better predict floods. To this end, methods to incorporate these observations into mathematical water models have also been developed. Besides, in recent years, the continued technological advances, in combination with the growing inclusion of...

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

Monitoring stations have been used for decades to measure hydrological variables,<br/>and mathematical water models used to predict floods can be enhanced by the<br/>incorporation of these observations, i.e. by data assimilation. The assimilation of<br/>remotely sensed water level observations in hydrological and hydraulic modelling<br/>has...

Assimilation Of Heterogeneous Uncertain Data, Having Different Observational Errors, In Hydrological Models

Accurate real-time forecasting of river water level is an important issue that has to be addressed in order to prevent and mitigate water-related risk. To this end, data assimilation methods have been used to improve the forecasts ability of water model merging observations coming from stations and model simulations. As a consequence of the...

Effect Of Different Hydrological Model Structures On The Assimilation Of Distributed Uncertain Observations

The reliable evaluation of the flood forecasting is a crucial problem for assessing flood risk and consequent damages. Different hydrological models (distributed, semi-distributed or lumped) have been proposed in order to deal with this issue. The choice of the proper model structure has been investigated by many authors and it is one of the...