Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia
Previous soil moisture conditions play an important role in the design of hydraulic structures because they are directly related to the runoff threshold associated with a return period. These represent one of the main determinants of the runoff response of a drainage basin. One of the main difficult...
- Autores:
-
Salgado-Cassiani, Julio Jose
Coronado-Hernández, Oscar E.
Gatica, Gustavo
Linfati, Rodrigo
Coronado-Hernández, Jairo R
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12315
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12315
- Palabra clave:
- Antecedent moisture condition
Frequency analysis
Precipitation
Return period
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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| dc.title.spa.fl_str_mv |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| title |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| spellingShingle |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia Antecedent moisture condition Frequency analysis Precipitation Return period |
| title_short |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| title_full |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| title_fullStr |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| title_full_unstemmed |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| title_sort |
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia |
| dc.creator.fl_str_mv |
Salgado-Cassiani, Julio Jose Coronado-Hernández, Oscar E. Gatica, Gustavo Linfati, Rodrigo Coronado-Hernández, Jairo R |
| dc.contributor.author.none.fl_str_mv |
Salgado-Cassiani, Julio Jose Coronado-Hernández, Oscar E. Gatica, Gustavo Linfati, Rodrigo Coronado-Hernández, Jairo R |
| dc.subject.keywords.spa.fl_str_mv |
Antecedent moisture condition Frequency analysis Precipitation Return period |
| topic |
Antecedent moisture condition Frequency analysis Precipitation Return period |
| description |
Previous soil moisture conditions play an important role in the design of hydraulic structures because they are directly related to the runoff threshold associated with a return period. These represent one of the main determinants of the runoff response of a drainage basin. One of the main difficulties facing hydrologists in Colombia lies in the time spent gathering and analyzing information related to the selection of antecedent moisture conditions. In this study, complete records from 19 rainfall stations located in the Atlántico region, Colombia, were used to analyze the cumulative precipitation during the 5 days prior to the annual maximum daily precipitation associated with different return periods using the Gev, Gumbel, Pearson Type III and Log Pearson Type III probability distributions. Different interpolation methods (IDW, kriging and spline) were applied to evaluate the spatial distribution of the antecedent moisture conditions. The main contribution of this research is establishing, using a probabilistic approach, the behavior of antecedent moisture conditions in a particular region, which can be used by engineers and designers to plan water infrastructure. This probabilistic approach was applied to a case study of the Atlántico region, Colombia, where the spatial distribution of antecedent moisture conditions was calculated for several return periods. The results indicate that the better results were obtained with the IDW interpolation method, and the Pearson Type III and Gumbel distributions also showed the best fits based on the Akaike criterion. |
| publishDate |
2022 |
| dc.date.issued.none.fl_str_mv |
2022-04-10 |
| dc.date.accessioned.none.fl_str_mv |
2023-07-21T16:19:34Z |
| dc.date.available.none.fl_str_mv |
2023-07-21T16:19:34Z |
| dc.date.submitted.none.fl_str_mv |
2023-07 |
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http://purl.org/coar/version/c_b1a7d7d4d402bcce |
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info:eu-repo/semantics/draft |
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http://purl.org/coar/resource_type/c_6501 |
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| dc.identifier.citation.spa.fl_str_mv |
Salgado-Cassiani, J.J.; Coronado-Hernández, O.E.; Gatica, G.; Linfati, R.; Coronado-Hernández, J.R. Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia. Water 2022, 14, 1217. https://doi.org/10.3390/w14081217 |
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https://hdl.handle.net/20.500.12585/12315 |
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10.3390/w14081217 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Salgado-Cassiani, J.J.; Coronado-Hernández, O.E.; Gatica, G.; Linfati, R.; Coronado-Hernández, J.R. Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia. Water 2022, 14, 1217. https://doi.org/10.3390/w14081217 10.3390/w14081217 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/12315 |
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eng |
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eng |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
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openAccess |
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24 páginas |
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Pdf |
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Water (Switzerland) - Vol. 14 No 8 (2022) |
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Universidad Tecnológica de Bolívar |
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Salgado-Cassiani, Julio Jose71e640c3-0949-462d-aad4-da340bf83f08Coronado-Hernández, Oscar E.f7a2fa8b-0bf4-4814-84e5-164c0b4b3c36Gatica, Gustavofe6fa1c9-2c41-4f0b-9b8c-8dbc65eb42a0Linfati, Rodrigo79103349-d6c9-4052-8457-67d85d6af70bCoronado-Hernández, Jairo R86b71d5d-cfcc-464b-9792-545bb0afd5a52023-07-21T16:19:34Z2023-07-21T16:19:34Z2022-04-102023-07Salgado-Cassiani, J.J.; Coronado-Hernández, O.E.; Gatica, G.; Linfati, R.; Coronado-Hernández, J.R. Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia. Water 2022, 14, 1217. https://doi.org/10.3390/w14081217https://hdl.handle.net/20.500.12585/1231510.3390/w14081217Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarPrevious soil moisture conditions play an important role in the design of hydraulic structures because they are directly related to the runoff threshold associated with a return period. These represent one of the main determinants of the runoff response of a drainage basin. One of the main difficulties facing hydrologists in Colombia lies in the time spent gathering and analyzing information related to the selection of antecedent moisture conditions. In this study, complete records from 19 rainfall stations located in the Atlántico region, Colombia, were used to analyze the cumulative precipitation during the 5 days prior to the annual maximum daily precipitation associated with different return periods using the Gev, Gumbel, Pearson Type III and Log Pearson Type III probability distributions. Different interpolation methods (IDW, kriging and spline) were applied to evaluate the spatial distribution of the antecedent moisture conditions. The main contribution of this research is establishing, using a probabilistic approach, the behavior of antecedent moisture conditions in a particular region, which can be used by engineers and designers to plan water infrastructure. This probabilistic approach was applied to a case study of the Atlántico region, Colombia, where the spatial distribution of antecedent moisture conditions was calculated for several return periods. The results indicate that the better results were obtained with the IDW interpolation method, and the Pearson Type III and Gumbel distributions also showed the best fits based on the Akaike criterion.24 páginasPdfapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Water (Switzerland) - Vol. 14 No 8 (2022)Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombiainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_b1a7d7d4d402bccehttp://purl.org/coar/resource_type/c_2df8fbb1Antecedent moisture conditionFrequency analysisPrecipitationReturn periodCartagena de IndiasChow, V.T., Maidment, D.R., Mays, L.W. (1988) Applied Hydrology, pp. 350-376. Cited 4195 times. 1st ed.; McGraw-Hill: New York, NY, USACeballos, A., Schnabel, S. Hydrological behaviour of a small catchment in the dehesa landuse system (Extremadura, SW Spain) (1998) Journal of Hydrology, 210 (1-4), pp. 146-160. Cited 97 times. doi: 10.1016/S0022-1694(98)00180-2Dusek, J., Vogel, T. Hillslope-storage and rainfall-amount thresholds as controls of preferential stormflow (2016) Journal of Hydrology, 534, pp. 590-605. Cited 23 times. www.elsevier.com/inca/publications/store/5/0/3/3/4/3 doi: 10.1016/j.jhydrol.2016.01.047Berne, A., Delrieu, G., Creutin, J.-D., Obled, C. Temporal and spatial resolution of rainfall measurements required for urban hydrology (2004) Journal of Hydrology, 299 (3-4), pp. 166-179. Cited 369 times. www.elsevier.com/inca/publications/store/5/0/3/3/4/3 doi: 10.1016/S0022-1694(04)00363-4Manfreda, S., Fiorentino, M., Iacobellis, V. DREAM: A distributed model for runoff, evapotranspiration, and antecedent soil moisture simulation (2005) Advances in Geosciences, 2, pp. 31-39. Cited 62 times. http://www.adv-geosci.net/volumes.html doi: 10.5194/adgeo-2-31-2005Lazzari, M., Piccarreta, M., Ray, L.R., Manfreda, S. Modeling Antecedent Soil Moisture to Constrain Rainfall Thresholds for Shallow Landslides Occurrence (2020) Landslides: Investigation and Monitoring. Cited 9 times. Ram, L.R., Lazzari, M., Eds.; IntechOpen: London, UK, (accessed on 1 February 2022) https://www.intechopen.com/chapters/72592Lazzari, M., Piccarreta, M., Manfreda, S. The role of antecedent soil moisture conditions on rainfall-triggered shallow landslides (2018) Nat. Hazards Earth Syst. Sci, pp. 1-11. Cited 17 times. https://nhess.coperni-cus.org/preprints/nhess-2018-371 (accessed on 20 February 2022) https://doi.org/10.5194/nhess-2018-371Poveda, G., Jaramillo, A., Gil, M.M., Quiceno, N., Mantilla, R.I. 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I: Distribution characteristics (Open Access) (2007) Journal of Hydrologic Engineering, 12 (5), pp. 482-491. Cited 97 times. doi: 10.1061/(ASCE)1084-0699(2007)12:5(482)Burgess, C.P., Taylor, M.A., Stephenson, T., Mandal, A. Frequency analysis, infilling and trends for extreme precipitation for Jamaica (1895-2100) (2015) Journal of Hydrology: Regional Studies, 3, pp. 424-443. Cited 14 times. doi: 10.1016/j.ejrh.2014.10.004González-álvarez, A., Viloria-Marimón, O.M., Coronado-Hernández, O.E., Vélez-Pereira, A.M., Tesfagiorgis, K., Coronado-Hernández, J.R. Isohyetal maps of daily maximum rainfall for different return periods for the Colombian Caribbean Region (Open Access) (2019) Water (Switzerland), 11 (2), art. no. 358. Cited 17 times. https://res.mdpi.com/water/water-11-00358/article_deploy/water-11-00358.pdf doi: 10.3390/w11020358izarro, R., Ingram, B., Gonzalez-Leiva, F., Valdés-Pineda, R., Sangüesa, C., Delgado, N., García-Chevesich, P., (...), Valdés, J.B. WEBSEIDF: A web-based system for the estimation of IDF curves in central Chile (Open Access) (2018) Hydrology, 5 (3), art. no. 40. Cited 8 times. https://res.mdpi.com/hydrology/hydrology-05-00040/article_deploy/hydrology-05-00040.pdf?filename=&attachment=1 doi: 10.3390/hydrology5030040Akaike, H. A New Look at the Statistical Model Identification (1974) IEEE Transactions on Automatic Control, 19 (6), pp. 716-723. Cited 37038 times. doi: 10.1109/TAC.1974.1100705Akaike, H. Information theory and an extension of the maximum likelihood principle (1998) Selected Papers of Hirotugu Akaike, pp. 199-213. Cited 1694 times. Springer: Berlin/Heidelberg, GermanySalas, J.D., Obeysekera, J., Vogel, R.M. Techniques for assessing water infrastructure for nonstationary extreme events: a review (Open Access) (2018) Hydrological Sciences Journal, 63 (3), pp. 325-352. Cited 128 times. http://www.tandfonline.com/loi/thsj20 doi: 10.1080/02626667.2018.1426858Ikechukwu, M.N., Ebinne, E., Idorenyin, U., Raphael, N.I. Accuracy Assessment and Comparative Analysis of IDW, Spline and Kriging in Spatial Interpolation of Landform (Topography): An Experimental Study (2017) Earth Environ. Sci, 9, pp. 354-371. Cited 62 times.Ngongondo, C., Li, L., Gong, L., Xu, C.-Y., Alemaw, B.F. Flood frequency under changing climate in the upper Kafue River basin, southern Africa: A large scale hydrological model application (Open Access) (2013) Stochastic Environmental Research and Risk Assessment, 27 (8), pp. 1883-1898. Cited 21 times. doi: 10.1007/s00477-013-0724-zLópez, J., Goñi, M., Martín, I.S., Erro, J. Regional frequency analysis of annual maximum daily rainfall in Navarra (2019) Quantiles mapping. Ing. Del Agua, 23, pp. 33-51.Bhunia, G.S., Shit, P.K., Maiti, R. 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