Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Uncertainty and Variability in River-Aquifer Models. Component and System Reliability Analysis
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Diego Oviedo-Salcedo
ISBN: 9783639665222
Год издания: 2015
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 116
Издательство: Scholars' Press
Цена: 34878 тг
Положить в корзину
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: The connections between streams and aquifers can be spatially variable and uncertain due to heterogeneity in geology and topography. During drought seasons, farming activities may induce critical peak pumping rates to supply irrigation water needs for crops. This may lead to increased concerns about reduction in baseflow and adverse impacts upon riverine ecosystems. Quantitative management of the groundwater is a required component in this particular human-nature system to evaluate the tradeoffs between irrigation agriculture and the ecosystems requirements. Forecast of the impact of pumping on river-aquifer exchange depends upon spatially variable hydrogeological parameters, as well as temporally uncertain streamflow. In this study a novel component - systems reliability analysis framework is developed to assess risk. Physical parameters uncertainty is studied in light of the Glover-Balmer (analytical) and MODFLOW (numerical) models, while temporal random streamflow is modeled as a Markov process. Reliability methods have been developed in the aerospace industry and extensively applied in structural engineering, but have only seen limited use in water resources so far.
Ключевые слова: Surface water and groudwater systems, reliability analysis, uncertainty and variability