Techniques for monthly rainfall regionalization in southwestern Colombia.


Journal

Anais da Academia Brasileira de Ciencias
ISSN: 1678-2690
Titre abrégé: An Acad Bras Cienc
Pays: Brazil
ID NLM: 7503280

Informations de publication

Date de publication:
2022
Historique:
received: 30 06 2020
accepted: 26 03 2021
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 29 7 2022
Statut: epublish

Résumé

The knowledge of rainfall regimes is a relevant requirement for many activities such as water resources planning, risk management, agriculture activities management, and other hydrologic applications. The present study has consisted of validating four techniques (one linear, one non-linear, and two hybrids) that allow identifying homogenous regions. We take the monthly rainfall in the Southwestern Colombia (Nariño), an area of 33,268 km2 characterized by complex topography and local factors that can influence the rainfall behavior, to test all techniques. The results showed overall the best performance for the approach related to non-linear principal component analysis and self-organizing map. However, in all mainly prevail two regions: the Andean Region and Pacific Region with a bimodal and unimodal regime, respectively. The bimodal one dominates over the Andes mountains range and the unimodal one the coastal zone. The application of non-linear approaches provided a better understanding of the seasonality of rainfall, and the results may be useful for water resource management.

Identifiants

pubmed: 35894357
pii: S0001-37652022000601101
doi: 10.1590/0001-3765202220201000
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e20201000

Auteurs

Teresita Canchala (T)

Universidad del Valle, Grupo de Investigación en Ingeniería de los Recursos Hídricos y Suelos (IREHISA), Escuela de Ingeniería de los Recursos Naturales y del Ambiente, Calle 13, No. 100-00, Campus Meléndez, Cali, Colombia.

Camilo Ocampo-Marulanda (C)

Universidad del Valle, Grupo de Investigación en Ingeniería de los Recursos Hídricos y Suelos (IREHISA), Escuela de Ingeniería de los Recursos Naturales y del Ambiente, Calle 13, No. 100-00, Campus Meléndez, Cali, Colombia.

Wilfredo Alfonso-Morales (W)

Universidad del Valle, Grupo de Investigación Percepción y Sistemas Inteligentes (PSI), Escuela de Ingeniería Eléctrica y Electrónica, Calle 13, No. 100-00, Campus Meléndez, Cali, Colombia.

Yesid Carvajal-Escobar (Y)

Universidad del Valle, Grupo de Investigación en Ingeniería de los Recursos Hídricos y Suelos (IREHISA), Escuela de Ingeniería de los Recursos Naturales y del Ambiente, Calle 13, No. 100-00, Campus Meléndez, Cali, Colombia.

Wilmar L Cerón (WL)

Universidad del Valle, Departamento de Geografía, Facultad de Humanidades, Calle 13, No. 100-00, Campus Meléndez, Cali, Colombia.

Eduardo Caicedo-Bravo (E)

Universidad del Valle, Grupo de Investigación Percepción y Sistemas Inteligentes (PSI), Escuela de Ingeniería Eléctrica y Electrónica, Calle 13, No. 100-00, Campus Meléndez, Cali, Colombia.

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