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LicenseThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.es
AuthorMoknatian, Mahrokh
AuthorPiasecki, Michael
Accessioned date2022-09-25T21:15:37Z
Available date2022-09-25T21:15:37Z
Year2021
CitationMoknatian, M., & Piasecki, M. (2021). Development of predictive models for water budget simulations of closed-basin lakes: case studies of Lakes Azuei and Enriquillo on the Island of Hispaniola. Hydrology, 8(4), 148. Recuperado de:es
URIhttps://bvearmb.do/handle/123456789/1563
AbstractThe historical water level fluctuations of the two neighboring Caribbean lakes of Azuei (LA) and Enriquillo (LE) on Hispaniola have shown random periods of synchronous and asynchronous behaviors, with both lakes exhibiting independent dynamics despite being exposed to the same climatic forces and being directly next to each other. This paper examines their systems’ main drivers and constraints, which are used to develop numerical models for these two lakes.es
LanguageEnglishes
PublishedHydrology, 8(4), 148es
Rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland.es
Rights URIhttps://creativecommons.org/licenses/by/4.0/es
SubjectInvestigación ambientales
SubjectTecnologíaes
SubjectRecursos hídricoses
TitleDevelopment of predictive models for water budget simulations of closed-basin lakes : case studies of Lakes Azuei and Enriquillo on the Island of Hispaniolaes
Material typeArticlees
Type of contentScientific researches
AccessOpenes
AudienceTechnicians, professionals and scientistses


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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Access and downloading this document are subject to this license: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.