Name: Preventing salinization by predicting saline water upconing (en Inglés)
SKU: 57378293
Price: 58.27 USD
Availability: InStock
Author: Geuljans, Carl
ISBN: 9786200316127

portada Preventing salinization by predicting saline water upconing (en Inglés)

Preventing salinization by predicting saline water upconing (en Inglés)

Formato

Libro Físico

Autor

Carl Geuljans

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

Peso

0.10 kg.

ISBN13

9786200316127

Categorías

Ciencias de la tierra/geociencias

Preventing salinization by predicting saline water upconing (en Inglés)

Carl Geuljans (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

Libro Nuevo Importado

Envío: 25 a 32 días háb.

$ 105.95$ 58.27

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 10 unidades

$ 58.27

Llega entre el 08 Oct y el 22 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Preventing salinization by predicting saline water upconing (en Inglés)"

In coastal areas, aquifer salinization is a major risk during large-scale dewatering operations. This risk is enhanced when extraction wells are used to pump large amounts of water from coastal aquifers. Underneath an extraction well, the salt-fresh water interface may rise towards the surface. To prevent salinization of the sub-soil, the rising salt cone needs to be analyzed, and quantified. To predict the amount and extent of the saline water rise, multiple numerical and analytical methods are available. This report will assess analytical and numerical solutions to solve this problem, and review which method suits best for each operation. These methods will be compared with a focus on (1) the role of density-dependent flow and (2) the effects of dispersion to the mixing zone. A method will be provided that uses the numerically light MT3DMS code to predict results of the numerically heavier SEAWAT2000 v4 model. Using this method, time can be spared when assessing whether the risk of salinization is significant or not. A correction factor for the MT3DMS model results can be applied, which is dependent on the vertical distance of the saline water to the extraction well.