Modelo de pronóstico para la producción de sal
Сохранить в:
| Авторы: | , , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2018 |
| Описание: | This article evaluates gross salt production as a function of evaporation and precipitation, as variables, using simple and quadratic linear regression statistical analysis. Crude salt production and meteorological variables records belonging to 35 years, are used for a case study in Caimanera, Guantanamo Bay, Cuba. The (r) coefficient of correlation is used for a regression model. The results of different statistical models are shown and compared, and information generated from these results is discussed as the basis for a mathematical forecasting model that allows decision making to optimize production. |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/33937 |
| Online-ссылка: | https://revistas.ucr.ac.cr/index.php/cienciaytecnologia/article/view/33937 |
| Ключевое слово: | Extraction of salt meteorological variables model prognosis. Extracción de sal variables meteorológicas modelo pronóstico. |