Mostrar el registro sencillo del ítem

LicenciaThis 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
AutorMoknatian, Mahrokh
AutorPiasecki, Michael
Fecha de admisión2022-09-25T21:15:37Z
Fecha disponible2022-09-25T21:15:37Z
Año2021
CitaciónMoknatian, 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
SinopsisThe 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
IdiomaEnglishes
PublicadoHydrology, 8(4), 148es
Derechos© 2021 by the authors. Licensee MDPI, Basel, Switzerland.es
URI de derechoshttps://creativecommons.org/licenses/by/4.0/es
MateriaInvestigación ambientales
MateriaTecnologíaes
MateriaRecursos hídricoses
TítuloDevelopment of predictive models for water budget simulations of closed-basin lakes : case studies of Lakes Azuei and Enriquillo on the Island of Hispaniolaes
Tipo de materialArticlees
Tipo de contenidoScientific researches
AccesoOpenes
AudienciaTechnicians, professionals and scientistses


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(es)

Mostrar el registro sencillo del ítem

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.
La consulta y descarga de este documento están sujetas a esta licencia: 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.