EventsThe 8th International Electronic Conference on Water Sciences
Published
This submission belongs to the session S6. Water Resources Management, Floods and Risk Mitigation of the event The 8th International Electronic Conference on Water Sciences
Published date
14 Oct, 2024
Academic Editor
author-avatarATHANASIOS LOUKAS
Citation
Oscar Coronado-Hernández, Modesto Pérez-Sánchez, Alfonso Arrieta-Pastrana, Jamilton Echeverri-Díaz, Helena M. Ramos, An Important Combination for Improving the Determination of Flood Zones: Remote Sensing Techniques and Hydraulic Models, in Proceedings of The 8th International Electronic Conference on Water Sciences, 14 October–16 October 2024, MDPI: Basel, Switzerland
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An Important Combination for Improving the Determination of Flood Zones: Remote Sensing Techniques and Hydraulic Models

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1. Universidad Politécnica de Valencia, Colombia
2. Instituto de Hidráulica y Saneamiento Ambiental, Universidad de Cartagena, Colombia
3. Universidad Politécnica de Valencia, Spain
4. University of Lisbon, Portugal
Abstract

The computation of flood-affected zones plays a pivotal role in risk management and land use planning. These zones can be identified by applying remote sensing techniques, digital elevation models, and implementing hydrological and hydraulic models. Remote sensing can detect changes in water surface levels over time using optical and SAR images. Digital elevation models are essential for defining the topography and morphometry of water bodies. Often, these techniques are employed to determine water levels associated with recorded events, representing a need for estimating water levels associated with different return periods. Subsequently, hydraulic models must be integrated with remote sensing techniques to create reliable models for sizing engineering projects related to return periods, which can vary from 5 to 5 years depending on the cost-benefit relation of a selected hydraulic structure. This research presents a framework for utilizing technological tools to combine remote sensing techniques with hydraulic models to correlate recorded flooding events and estimate flooding for different return periods. A case study in Santa Cruz de Lorica, Colombia, is assessed to demonstrate the advantages of the combined techniques discussed in this study. The flooding in the case study is delineated using optical and SAR images from different sources. A detailed discussion about using images applied to flooding zones is presented.

Keywords
Flood
remote sensing
hydraulic models
case study
methodology
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