VARIABLE-DENSITY FLOW OF GROUNDWATER : Quantifying the Effects of Temperature and Concentration in Numerical Models of Variable-Density Groundwater Flow

Alyssa Dausman

ISBN 10: 3838335554 / ISBN 13: 9783838335551

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Groundwater systems of different densities are often mathematically modeled to understand and predict environmental behavior such as seawater intrusion or submarine groundwater discharge. Additional data collection is justified if it will cost-effectively aid in reducing the uncertainty of a model s prediction. The collection of salinity or temperature data could aid in reducing predictive uncertainty in a variable-density model. Before numerical models can be created, rigorous testing of the modeling code needs to be completed. This research documents benchmark testing of SEAWAT. The benchmark problems include various combinations of density-dependent flow resulting from variations in concentration and temperature. SEAWAT was then applied to two different hydrological analyses to explore the capacity of a variable-density model to guide data collection. One analysis utilized a linear method to guide data collection to reduce predictive uncertainty in a nonlinear variable- density model. The other analysis used a numerical model to guide the collection of data related to quantification of submarine groundwater discharge.

Seller Inventory # 9783838335551

Bibliographic Details

• Title: VARIABLE-DENSITY FLOW OF GROUNDWATER : Quantifying the Effects of Temperature and Concentration in Numerical Models of Variable-Density Groundwater Flow
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838335554
• ISBN 13: 9783838335551
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 298 grams

About this title

Synopsis

Groundwater systems of different densities are often mathematically modeled to understand and predict environmental behavior such as seawater intrusion or submarine groundwater discharge. Additional data collection is justified if it will cost-effectively aid in reducing the uncertainty of a model?s prediction. The collection of salinity or temperature data could aid in reducing predictive uncertainty in a variable-density model. Before numerical models can be created, rigorous testing of the modeling code needs to be completed. This research documents benchmark testing of SEAWAT. The benchmark problems include various combinations of density-dependent flow resulting from variations in concentration and temperature. SEAWAT was then applied to two different hydrological analyses to explore the capacity of a variable-density model to guide data collection. One analysis utilized a linear method to guide data collection to reduce predictive uncertainty in a nonlinear variable- density model. The other analysis used a numerical model to guide the collection of data related to quantification of submarine groundwater discharge.