Name: TracerLPM (Version 1): An Excel Workbook for Interpreting Groundwater Age Distributions from Environmental Tracer Data (en Inglés)
Price: 99.76 PEN
Availability: InStock
Author: Bohike, J. K. ; Eberts, Sandra M. ; Jurgens, Bryant C.
ISBN: 9781500222871

portada TracerLPM (Version 1): An Excel Workbook for Interpreting Groundwater Age Distributions from Environmental Tracer Data (en Inglés)

Formato

Libro Físico

Autor

J. K. Bohike

Sandra M. Eberts

Bryant C. Jurgens

Editorial

Createspace Independent Publishing Platform

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

28.0 x 21.6 x 0.4 cm

Peso

0.18 kg.

ISBN13

9781500222871

Categorías

Tecnología: cuestiones generales

TracerLPM (Version 1): An Excel Workbook for Interpreting Groundwater Age Distributions from Environmental Tracer Data (en Inglés)

J. K. Bohike (Autor) · Sandra M. Eberts (Autor) · Bryant C. Jurgens (Autor) · Createspace Independent Publishing Platform · Tapa Blanda

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Reseña del libro "TracerLPM (Version 1): An Excel Workbook for Interpreting Groundwater Age Distributions from Environmental Tracer Data (en Inglés)"

TracerLPM is an interactive Excel(R) (2007 or later) workbook program for evaluating groundwater age distributions from environmental tracer data by using lumped parameter models (LPMs). Lumped parameter models are hydrodynamic dispersion or mixing within the aquifer, well bore, or discharge area. Five primary LPMs are included in exponential model (PEM), and dispersion model (DM). Binary mixing models (BMM) can be created by combining primary LPMs in various combinations. Travel time through the unsaturated zone can be included as an additional parameter. TracerLPM also allows users to enter age distributions determined from other methods, such as particle tracking LPMs not included in this program. Tracers of both young groundwater (anthropogenic atmospheric gases and isotopic substances indicating post-1940s recharge) and much older groundwater (carbon-14 and helium-4) can be interpreted simultaneously so that estimates of the groundwater age distribution for samples with a wide range of ages can be constrained.