Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Cama-Pinto, Alejandro; Acosta-Coll, Melisa; Piñeres-Espitia, Gabriel; Caicedo-Ortiz, José; Zamora-Musa, Ronald; Sepulveda-Ojeda, Jorge

doi:10.4067/s0718-33052016000400005

Cited by 16 publications

(9 citation statements)

References 26 publications

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“…In Colombia, a wireless sensor network (WSN) was developed consisting of six nodes measuring temperature, humidity and atmospheric pressure [27]. By analyzing the variation of these atmospheric variables, a computer system determines the potential formation of heavy rainfall cells.…”

Section: Introductionmentioning

confidence: 99%

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Risk-Based Early Warning System for Pluvial Flash Floods: Approaches and Foundations

Hofmann

Schüttrumpf

2019

Geosciences

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In times of increasing weather extremes and expanding vulnerable cities, a significant risk to civilian security is posed by heavy rainfall induced flash floods. In contrast to river floods, pluvial flash floods can occur anytime, anywhere and vary enormously due to both terrain and climate factors. Current early warning systems (EWS) are based largely on measuring rainfall intensity or monitoring water levels, whereby the real danger due to urban torrential floods is just as insufficiently considered as the vulnerability of the physical infrastructure. For this reason, this article presents a concept for a risk-based EWS as one integral component of a multi-functional pluvial flood information system (MPFIS). Taking both the pluvial flood hazard as well as the damage potential into account, the EWS identifies the urban areas particularly affected by a forecasted heavy rainfall event and issues object-precise warnings in real-time. Further, the MPFIS performs a georeferenced documentation of occurred events as well as a systematic risk analysis, which at the same time forms the foundation of the proposed EWS. Based on a case study in the German city of Aachen and the event of 29 May 2018, the operation principle of the integrated information system is illustrated.

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Section: Introductionmentioning

confidence: 99%

“…By analyzing the variation of these atmospheric variables, a computer system determines the potential formation of heavy rainfall cells. This computer is coupled to a web and mobile application, which provide the warning information to end-users [27].…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Early Warning System for Pluvial Flash Floods: Approaches and Foundations

Hofmann

Schüttrumpf

2019

Geosciences

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“…Among the different approaches used to develop flood forecast tools are artificial neural networks [8,9], high-resolution precipitation radars [10][11][12], images and video footages of the water level [13,14], and atmospheric data [15,16]. Flood maps generated using 2D hydrodynamic models are one of the best tools for an efficient management strategy.…”

Section: Introductionmentioning

confidence: 99%

A 2D Real-Time Flood Forecast Framework Based on a Hybrid Historical and Synthetic Runoff Database

Crotti

Leandro

Bhola

2019

Water

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Operational real-time flood forecast is often done on the prediction of discharges at specific gauges using hydrological models. Hydrodynamic models, which can produce inundation maps, are computationally demanding and often cannot be used directly for that purpose. The FloodEvac framework has been developed in order to enable 2D flood inundations map to be forecasted at real-time. The framework is based on a database of pre-recorded synthetic events. In this paper, the framework is improved by generating a database based on rescaled historical river discharge events. This historical database includes a wider variety of runoff curves, including non-Gaussian and multi-peak shapes that better reflect the characteristics and the behavior of the natural streams. Hence, a hybrid approach is proposed by joining the historical and the existing synthetic database. The increased number of scenarios in the hybrid database allows reliable predictions, thus improving the robustness and applicability of real-time flood forecasts.

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“…Several municipalities, within the department of Atlántico, experience different affectations that go from severe and prolonged droughts [15] to more recurrent and devastating floods [13,16,17]. During the rainy season of 2010-2011, a great portion of the southern part of the department was flooded, causing a dyke breakage that exacerbated the problem with 185,236 people affected and total losses (infrastructure, habitat, etc.)…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Behavior of Daily Maximum Rainfall within the Department of Atlántico, Colombia

Viloria-Marimón

González-Álvarez²,

Mouthon-Bello

2019

Water

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In the Colombian Caribbean region, there are few studies that evaluated the behavior of one of the most commonly used variables in hydrological analyses: the maximum daily rainfall (Pmax-24h). In this study, multiannual Pmax-24h time series from 19 rain gauges, located within the department of Atlántico, were analyzed to (a) determine possible increasing/decreasing trends over time, (b) identify regions with homogeneous behavior of Pmax-24h, (c) assess whether the time series are better suited under either a stationary or non-stationary frequency analysis, (d) generate isohyetal maps under stationary, non-stationary, and mixed conditions, and (e) evaluate the isohyetal maps by means of the calculation of areal rainfall (Pareal) in nine watersheds. In spite of the presence of both increasing and decreasing trends, only the Puerto Giraldo rain gauge showed a significant decreasing trend. Also, three regions (east, central, and west) with similar Pmax-24h behavior were identified. According to the Akaike information criterion test, 79% of the rain gauges showed better fit under stationary conditions. Finally, statistical analysis revealed that, under stationary conditions, the errors in the calculation of Pareal were more frequent, while the magnitude of the errors was larger under non-stationary conditions, especially in the central–south region.

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Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Cited by 16 publications

References 26 publications

Risk-Based Early Warning System for Pluvial Flash Floods: Approaches and Foundations

Risk-Based Early Warning System for Pluvial Flash Floods: Approaches and Foundations

A 2D Real-Time Flood Forecast Framework Based on a Hybrid Historical and Synthetic Runoff Database

Analysis of the Behavior of Daily Maximum Rainfall within the Department of Atlántico, Colombia

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