Regionalización de curvas IDF para el uso de modelos hidrometeorológicos en la Sabana Occidental del departamento de Cundinamarca

Oviedo, Jazmín Andrea Becerra; Mazorca, Liza Fernanda Sánchez; Castellano, Pedro Mauricio Acosta; Arévalo, José Luis Díaz

doi:10.25054/22161325.701

Cited by 4 publications

(3 citation statements)

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“…The validation of the interpolated points using the three methods was performed by cross-validation, technique used to evaluate the results of a statistical analysis and to ensure that they are independent of the partitioning of the data obtained in this case from rainfall stations. The estimated value must be similar to the actual value, that is the measured value, so that the error committed by the model, that is, the difference between the two, is as low as possible [31].…”

Section: Validation Of the Methods Evaluatedmentioning

confidence: 99%

Evaluation of Simple Space Interpolation Methods for the Depth of Precipitation: Application for Boyacá, Colombia

Castellanos¹,

Ortegón²,

Sierra³

2020

Adv. sci. technol. eng. syst. j.

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Interpolation tools are used daily in hydrology and climatology. With the purpose to regionalize spot´s registration parameters, such as depth of precipitation, temperature, humidity, among others. The accuracy of these methods is not fully validated. This research presents a comparative study between the most used interpolation methods for the regionalization of hydrological and climatological parameters. Comparative analysis of spatial interpolation; it was carried out using the IDW, Kriging and Spline methods, for this the ARGIS software was used, because its widespread and widespread use. The depth of precipitation was considered as a parameter for the comparison. Accuracy was determined by cross validation. Also, for the coefficient of determination and the comparison for visual errors such as "bull's eyes". The research was spatially restricted to a politically delimited region; Boyacá, Colombia, South America. The best method for spatial interpolation in this case was shown to be Spline.

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Section: Validation Of the Methods Evaluatedmentioning

confidence: 99%

Evaluation of Simple Space Interpolation Methods for the Depth of Precipitation: Application for Boyacá, Colombia

Castellanos¹,

Ortegón²,

Sierra³

2020

Adv. sci. technol. eng. syst. j.

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“…In Colombia, Becerra et al [72] interpolated the parameters of the Gumbel distribution using IDW. The authors generated spatial maps for the parameters and the construction of IDF curves at an arbitrary location.…”

Section: Spatial Interpolation and Extrapolation Of Idf Curvesmentioning

confidence: 99%

Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile

Sangüesa,

Pizarro,

Ingram

et al. 2023

Hydrology

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Estimating intensity−duration−frequency (IDF) curves requires local historical information of precipitation intensity. When such information is unavailable, as in areas without rain gauges, it is necessary to consider other methods to estimate curve parameters. In this study, three methods were explored to estimate IDF curves in ungauged areas: Kriging (KG), Inverse Distance Weighting (IDW), and Storm Index (SI). To test the viability of these methods, historical data collected from 31 rain gauges distributed in central Chile, 35° S to 38° S, are used. As a result of the reduced number of rain gauges to evaluate the performance of each method, we used LOOCV (Leaving One Out Cross Validation). The results indicate that KG was limited due to the sparse distribution of rain gauges in central Chile. SI (a linear scaling method) showed the smallest prediction error in all of the ungauged locations, and outperformed both KG and IDW. However, the SI method does not provide estimates of uncertainty, as is possible with KG. The simplicity of SI renders it a viable method for extrapolating IDF curves to locations without data in the central zone of Chile.

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“…This study intends to contribute to these tasks by: (a) first carrying out rainfall stationary frequency analyses by means of three different Cumulative Distribution Functions (CDF) for extreme values analysis (Gumbel, GEV, and LP3) so as to confirm whether or not the Gumbel distribution is indeed the most suitable for the rainfall data of this study, as it is the most commonly used in Colombia despite the fact that the other two have been also assessed in various studies [18][19][20][21][22][23]; (b) secondly, evaluating which spatial interpolation method is most suitable given the highly-dense spatial distribution of the rain gauges; and (c) lastly, drawing isohyetal maps of P 24h-max -via Geographical Information System (GIS)-for return periods of 2, 5, 10, 20, 25, 50, and 100 years for the Colombian Caribbean region as the first step in a more ambitious project of elaborating maps for the remaining regions (Pacific, Andean, Orinoco, and Amazon). For that, 318 pluviometric stations (rain gauges) operated by IDEAM-with at least 30 years of data-were used.…”

Section: Introductionmentioning

confidence: 99%

Isohyetal Maps of Daily Maximum Rainfall for Different Return Periods for the Colombian Caribbean Region

González-Álvarez¹,

Viloria-Marimón

Coronado-Hernández

et al. 2019

Water

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In Colombia, daily maximum multiannual series are one of the main inputs for design streamflow calculation, which requires performing a rainfall frequency analysis that involves several prior steps: (a) requesting the datasets, (b) waiting for the information, (c) reviewing the datasets received for missing or data different from the requested variable, and (d) requesting the information once again if it is not correct. To tackle these setbacks, 318 rain gauges located in the Colombian Caribbean region were used to first evaluate whether or not the Gumbel distribution was indeed the most suitable by performing frequency analyses using three different distributions (Gumbel, Generalized Extreme Value (GEV), and Log-Pearson 3 (LP3)); secondly, to generate daily maximum isohyetal maps for return periods of 2, 5, 10, 20, 25, 50, and 100 years; and, lastly, to evaluate which interpolation method (IDW, spline, and ordinary kriging) works best in areas with a varying density of data points. GEV was most suitable in 47.2% of the rain gauges, while Gumbel, in spite of being widely used in Colombia, was only suitable in 34.3% of the cases. Regarding the interpolation method, better isohyetals were obtained with the IDW method. In general, the areal maximum daily rainfall estimated showed good agreement when compared to the true values.

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Regionalización de curvas IDF para el uso de modelos hidrometeorológicos en la Sabana Occidental del departamento de Cundinamarca

Cited by 4 publications

References 0 publications

Evaluation of Simple Space Interpolation Methods for the Depth of Precipitation: Application for Boyacá, Colombia

Evaluation of Simple Space Interpolation Methods for the Depth of Precipitation: Application for Boyacá, Colombia

Comparing Methods for the Regionalization of Intensity−Duration−Frequency (IDF) Curve Parameters in Sparsely-Gauged and Ungauged Areas of Central Chile

Isohyetal Maps of Daily Maximum Rainfall for Different Return Periods for the Colombian Caribbean Region

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