Drought risk assessment in educational units in the municipality of Sucre, Bolivia

Authors

DOI:

https://doi.org/10.24850/j-tyca-2026-05-04

Keywords:

standardized drought index, SPI, drought, rural education, environmental education, risk assessment, geographical information systems, GIS, precipitation, rain, water storage, Bolivia

Abstract

In Bolivia, climate irregularities exacerbated by climate change are manifested in the increasing recurrence of droughts and the growing demand for potable water. The objective of this study was to develop a drought risk diagnosis at the level of rural educational units in the municipality of Sucre, Bolivia, within the framework of the ECOH-Water project, which seeks to build capacities for the access and use of rainwater in 65 Bolivian schools to ensure sustainable consumption. Geographic Information Systems (GIS) and the general risk equation were applied to assess levels of hazard and vulnerability. Drought hazard was quantified using the Standardized Precipitation Index (SPI), which accounts for the intensity of meteorological drought or precipitation deficit. Vulnerability to drought, defined as susceptibility to adverse effects, was evaluated using parameters including current land use, population density, distance to rivers, slope gradient, and slope orientation. Hazard and vulnerability indicators were spatially zoned using a standardized multicriteria analysis in GIS, resulting in a drought risk map. Based on the hazard assessment, 63 % of the municipal area was classified as experiencing very high drought, 17 % as high, 16 % as moderate, and 4 % as low. A total of 22 schools—representing 42 % of all rural educational units—were identified as being at moderate to high drought risk.

References

Andersen, L. E., & Paco, R. M. (2009). Cambio climático en Bolivia hasta 2100: síntesis de costos y oportunidades. https://www.researchgate.net/publication/242477920_Cambio_Climatico_en_Bolivia_hasta_2100_Sintesis_de_Costos_y_Oportunidades

Arreguín-Cortés, F. I., López-Pérez, M., Ortega-Gaucín, D., & Ibáñez-Hernández, Ó. (2016). La política pública contra la sequía en México: Avances, necesidades y perspectivas. Tecnología y ciencias del agua, 7(5), 63-76. https://www.revistatyca.org.mx/index.php/tyca/article/view/1271

Castro, T. (2022, 22 de noviembre). Atribuyen larga sequía a cambio climático y fenómeno de La Niña. Publiagro. https://publiagro.com.bo/2022/11/sequia-cambio-climatico-fenomeno/

Campos-Aranda, D. F. (2018). Contraste por ETP del RDI en tres localidades climáticas de San Luis Potosí, México. Tecnología y ciencias del agua, 9(4), 147-183. https://doi.org/10.24850/j-tyca-2018-04-07

Consorcio Tecnalia e IH Cantabria. (2020). Guía para el análisis detallado de riesgo climático: Tomo 1. CAF. https://scioteca.caf.com/handle/123456789/1631

Chirinos-Escobar, M. J., Ruiz-Álvarez, M. A., & Cardona, A. J. (2023). Modelo estadístico para predicción de deslizamientos generados por precipitación en la zona occidental de Honduras. Revista Universidad y Sociedad, 15(2), 246-255. http://scielo.sld.cu/pdf/rus/v15n2/2218-3620-rus-15-02-246.pdf

Fernández-Duque, B., Vicente-Serrano, S. M., Maillard, O., Domínguez-Castro, F., Peña-Angulo, D., Noguera, I., Azorin-Molina, C., & El Kenawy, A. (2023). Long-term observed changes of air temperature, relative humidity and vapour pressure deficit in Bolivia, 1950–2019. International Journal of Climatology, 43(14), 6484-6504. https://doi.org/10.1002/joc.8226

Gobierno Autónomo Municipal de Sucre. (2009). Capítulo IV: La estructura territorial del municipio en el actual modelo. En: Plan Municipal de Ordenamiento Territorial 2009-2018 (pp. 261-328). Unidad de Riesgos-GAMS.

Ibañez, E. (2022, 15 de noviembre). Sequía provoca pérdidas de cultivos en 7 departamentos. La Razón. https://hemeroteca.larazon.bo/sociedad/2022/11/15/sequia-provoca-perdidas-de-cultivos-en-7-departamentos/

Karavitis, C. A., Alexandris, S., Tsesmelis, D. E., & Athanasopoulos, G. (2011). Application of the Standardized Precipitation Index (SPI) in Greece. Water, 3(3), 787-805. https://doi.org/10.3390/w3030787

Mansour, S. (2024). Geospatial modelling of drought patterns in Oman: GIS-based and machine learning approach. Modeling Earth Systems and Environment, 10(3), 3411–3431. https://doi.org/10.1007/s40808-024-01958-9

Montenegro, E., & Pitti, J. (2020). Análisis de riesgos climáticos en el sistema alimentario indígena de El Teribe, Panamá. Acta Nova, 9(5 y 6), 713-736. http://www.scielo.org.bo/pdf/ran/v9n5-6/v9n5-6_a05.pdf

Morales, H. D., Ovando, C., & Rodriguez, W. (2018). Ecuación general del riesgo: una experiencia para construir mapas de riesgos. GIZ. https://www.bivica.org/files/mapas-riesgos.pdf

Ortega-Gaucín, D., De-la-Cruz-Bartolón, J., & Castellano-Bahena, H. V. (2018). Peligro, vulnerabilidad y riesgo por sequía en el contexto del cambio climático en México. En: Lobato, R., & Pérez, A. A. (eds.). Agua y cambio climático (pp. 78-103). Instituto Mexicano de Tecnología del Agua. http://repositorio.imta.mx/handle/20.500.12013/2192

Ramos, M. B. L., & Hernández, L. D. P. (2018). Remote sensing and geographic information system in the decision making process for land management. Revista Ciencias Técnicas Agropecuarias, 27(1), 54-65. https://www.researchgate.net/publication/331012790_Remote_Sensing_and_Geographic_Information_System_in_the_Decision_Making_Process_for_Land_Management

Rana, V. K., & Suryanarayana, T. M. V. (2020). GIS-based multi criteria decision making method to identify potential runoff storage zones within watershed. Annals of GIS, 26(2), 149-168. https://doi.org/10.1080/19475683.2020.1733083

Tsatsaris, A., Kalogeropoulos, K., Stathopoulos, N., Louka, P., Tsanakas, K., Tsesmelis, D. E., Krassanakis, V., Petropoulos, G. P., Pappas, V., & Chalkias, C. (2021). Geoinformation technologies in support of environmental hazards monitoring under climate change: An extensive review. ISPRS International Journal of Geo-Information, 10(2), 94. https://doi.org/10.3390/ijgi10020094

Velasco, I., Ochoa, L., & Gutiérrez, C. (2005). Sequía, un problema de perspectiva y gestión. Región y Sociedad, 17(34), 35-71. https://doi.org/10.22198/rys.2005.34.a615

Downloads

Published

2026-09-01

How to Cite

Mendez, R., Rodriguez, A., Gonzales, C., Radón, K., & Solís, M. T. (2026). Drought risk assessment in educational units in the municipality of Sucre, Bolivia. Tecnología Y Ciencias Del Agua, 17(5), 216-243. https://doi.org/10.24850/j-tyca-2026-05-04