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Techniques for monthly rainfall regionalization in southwestern Colombia
Teresita Canchala1, Camilo Ocampo-Marulanda1, Wilfredo Alfonso-Morales2
1Universidad 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.
Anais Da Academia Brasileira De Ciencias
|July 27, 2022
Summary
Understanding rainfall patterns is key for water management. This study validated methods to identify homogenous rainfall regions in Southwestern Colombia, finding non-linear approaches best for water resource planning.
Area of Science:
- Hydrology and Climatology
- Geospatial Analysis
Background:
- Accurate rainfall regime knowledge is crucial for water resource planning, risk management, and agricultural activities.
- Complex topography and local factors in Southwestern Colombia (Nariño) significantly influence rainfall patterns.
Purpose of the Study:
- To validate four techniques for identifying homogenous rainfall regions.
- To assess the performance of linear, non-linear, and hybrid methods in rainfall analysis.
- To improve understanding of rainfall seasonality for water resource management.
Main Methods:
- Validation of four regionalization techniques: one linear, one non-linear, and two hybrid approaches.
- Application of techniques to monthly rainfall data from Southwestern Colombia (Nariño).
- Utilized non-linear principal component analysis and self-organizing map for analysis.
Main Results:
- The non-linear principal component analysis and self-organizing map approach demonstrated superior performance.
- Two dominant rainfall regions were identified: the Andean Region (bimodal regime) and the Pacific Region (unimodal regime).
- The bimodal regime prevails in the Andes mountains, while the unimodal regime characterizes the coastal zone.
Conclusions:
- Non-linear approaches offer enhanced understanding of rainfall seasonality.
- The identified homogenous regions and their rainfall regimes are valuable for effective water resource management.
- Findings support improved hydrological applications in regions with complex topography.
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