This page has only limited features, please log in for full access.

Unclaimed
Guillermo J. Acuña
Programa de Ingeniería Ambiental, Universidad Sergio Arboleda, Escuela de Ciencias Exactas e Ingeniería (ECEI), Calle 74 #14-14, Bogotá D.C. 110221, Colombia

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 20 May 2020 in Water
Reads 0
Downloads 0

The aim of this research is the detection and analysis of existing trends in the Meta River, Colombia, based on the streamflow records from seven gauging stations in its main course, for the period between June 1983 to July 2019. The Meta River is one of the principal branches of the Orinoco River, and it has a high environmental and economic value for this South American country. The methods employed for the trend detection and quantification were the Mann–Kendall (MK) test, the modified MK (MMK) test, and the Sen’s slope (SS) estimator. Statistically significant trends (at a 95% level of confidence) were detected in more than 30% of the 105 evaluated datasets. The results from the MK test indicate the presence of statistically significant downward trends in the upstream stations and upward trends in the downstream stations, with the latter presenting steep positive slopes. The findings of this study are valuable assets for water resources management and sustainable planning in the Meta River Basin.

ACS Style

Marco Arrieta-Castro; Adriana Donado-Rodríguez; Guillermo J. Acuña; Fausto A. Canales; Ramesh S. V. Teegavarapu; Bartosz Kaźmierczak. Analysis of Streamflow Variability and Trends in the Meta River, Colombia. Water 2020, 12, 1451 .

AMA Style

Marco Arrieta-Castro, Adriana Donado-Rodríguez, Guillermo J. Acuña, Fausto A. Canales, Ramesh S. V. Teegavarapu, Bartosz Kaźmierczak. Analysis of Streamflow Variability and Trends in the Meta River, Colombia. Water. 2020; 12 (5):1451.

Chicago/Turabian Style

Marco Arrieta-Castro; Adriana Donado-Rodríguez; Guillermo J. Acuña; Fausto A. Canales; Ramesh S. V. Teegavarapu; Bartosz Kaźmierczak. 2020. "Analysis of Streamflow Variability and Trends in the Meta River, Colombia." Water 12, no. 5: 1451.

Journal article
Published: 05 July 2019 in Water
Reads 0
Downloads 0

Numerical models are important tools for analyzing and solving water resources problems; however, a model’s reliability heavily depends on its calibration. This paper presents a method based on Design of Experiments theory for calibrating numerical models of rivers by considering the interaction between different calibration parameters, identifying the most sensitive parameters and finding a value or a range of values for which the calibration parameters produces an adequate performance of the model in terms of accuracy. The method consists of a systematic process for assessing the qualitative and quantitative performance of a hydromorphological numeric model. A 75 km reach of the Meta River, in Colombia, was used as case study for validating the method. The modeling was conducted by using the software package MIKE-21C, a two-dimensional flow model. The calibration is assessed by means of an Overall Weighted Indicator, based on the coefficient of determination of the calibration parameters and within a range from 0 to 1. For the case study, the most significant calibration parameters were the sediment transport equation, the riverbed load factor and the suspended load factor. The optimal calibration produced an Overall Weighted Indicator equal to 0.857. The method can be applied to any type of morphological models.

ACS Style

Guillermo J. Acuña; Humberto Ávila; Fausto A. Canales. River Model Calibration Based on Design of Experiments Theory. A Case Study: Meta River, Colombia. Water 2019, 11, 1382 .

AMA Style

Guillermo J. Acuña, Humberto Ávila, Fausto A. Canales. River Model Calibration Based on Design of Experiments Theory. A Case Study: Meta River, Colombia. Water. 2019; 11 (7):1382.

Chicago/Turabian Style

Guillermo J. Acuña; Humberto Ávila; Fausto A. Canales. 2019. "River Model Calibration Based on Design of Experiments Theory. A Case Study: Meta River, Colombia." Water 11, no. 7: 1382.