{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T05:32:23Z","timestamp":1773725543587,"version":"3.50.1"},"reference-count":31,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T00:00:00Z","timestamp":1708387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Applied Sciences"],"abstract":"<jats:p>The probabilistic analysis of streamflow and drought event durations plays a crucial role in the efficient and sustainable management of existing water resources in the region. This approach involves the collection of historical hydrological data from river gauging stations, the use of statistical and probabilistic models, and the assessment of hydrological projections at different return periods to provide valuable information for society to understand the potential impacts of extreme events. The analysis is carried out on the Sin\u00fa River in Colombia, with consideration given to both the presence and absence of the Hydropower Plant Urr\u00e1 I. The results reveal that, under natural conditions, a higher number of return periods correspond to less extreme drought flows and longer temporal durations. However, when the hydropower plant is operational, the occurrence and duration of drought are influenced by the regulations implemented during energy generation. The results of this analysis can guide water resource management policies, considering the operation of the hydroelectric plant, thereby enabling decisions that enhance the resilience and sustainability of the river\u2019s hydrological conditions and communities that depend on it.<\/jats:p>","DOI":"10.3390\/app14051692","type":"journal-article","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T04:04:14Z","timestamp":1708401854000},"page":"1692","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Assessing Extreme Drought Events and Their Temporal Impact: Before and after the Operation of a Hydropower Plant"],"prefix":"10.3390","volume":"14","author":[{"given":"Andr\u00e9s F.","family":"Villalba-Barrios","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Tecnol\u00f3gica de Bol\u00edvar, Cartagena 131001, Colombia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6574-0857","authenticated-orcid":false,"given":"Oscar E.","family":"Coronado Hern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Instituto de Hidr\u00e1ulica y Saneamiento Ambiental, Universidad de Cartagena, Cartagena 130001, Colombia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3524-2555","authenticated-orcid":false,"given":"Vicente S.","family":"Fuertes-Miquel","sequence":"additional","affiliation":[{"name":"Departamento de Ingenier\u00eda Hidr\u00e1ulica y Medio Ambiente, Universitat Polit\u00e8cnica de Val\u00e8ncia, 46022 Valencia, Spain"}]},{"given":"Alfonso","family":"Arrieta-Pastrana","sequence":"additional","affiliation":[{"name":"Instituto de Hidr\u00e1ulica y Saneamiento Ambiental, Universidad de Cartagena, Cartagena 130001, Colombia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9028-9711","authenticated-orcid":false,"given":"Helena M.","family":"Ramos","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Architecture and Georesources, CERIS, Instituto Superior T\u00e9cnico, University of Lisbon, 1049-001 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1175\/1520-0442(1993)006<1077:EOCPR>2.0.CO;2","article-title":"Estimation of continental precipitation recycling","volume":"6","author":"Brubaker","year":"1993","journal-title":"J. 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