NDLI: Uncertainty in simulated groundwater-quality trends in transient flow

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Uncertainty in simulated groundwater-quality trends in transient flow

Content Provider	Springer Nature Link
Author	Starn, J. Jeffrey Bagtzoglou, Amvrossios C. Robbins, Gary A.
Copyright Year	2013
Abstract	In numerical modeling of groundwater flow, the result of a given solution method is affected by the way in which transient flow conditions and geologic heterogeneity are simulated. An algorithm is demonstrated that simulates breakthrough curves at a pumping well by convolution-based particle tracking in a transient flow field for several synthetic basin-scale aquifers. In comparison to grid-based (Eulerian) methods, the particle (Lagrangian) method is better able to capture multimodal breakthrough caused by changes in pumping at the well, although the particle method may be apparently nonlinear because of the discrete nature of particle arrival times. Trial-and-error choice of number of particles and release times can perhaps overcome the apparent nonlinearity. Heterogeneous aquifer properties tend to smooth the effects of transient pumping, making it difficult to separate their effects in parameter estimation. Porosity, a new parameter added for advective transport, can be accurately estimated using both grid-based and particle-based methods, but predictions can be highly uncertain, even in the simple, nonreactive case.Lors de la modélisation numérique des écoulements souterrains, le résultat d’une méthode donnée est affecté par la manière dont les conditions d’écoulement transitoire et l’hétérogénéité géologique sont simulées. Un algorithme a été mis au point qui simule des courbes de restitution au puits de pompage en régime transitoire par convolution du transfert de particules pour différents aquifères synthétiques à l’échelle du bassin versant. Par comparaison avec les méthodes (Eulériennes), basées sur des maillages, la méthode des particules (Lagrangien) représente mieux les restitutions multimodales causées par des variations de pompage au puits, bien que la méthode des particules puisse être en apparence non linéaire du fait de la nature discrète des temps d’arrivée des particules. Le choix par essai et erreur du nombre de particules et des temps de restitution peut, peut être, surmonter la non linéarité apparente. Les propriétés des aquifères hétérogènes tendent à lisser les effets du pompage transitoire, rendant difficile de discerner ces effets pour l’estimation des paramètres. La porosité, un nouveau paramètre ajouté pour le transport advectif, peut être estimée avec précision en utilisant aussi bien les méthodes basées sur les particules que sur un maillage, mais les prévisions peuvent être très incertaines, même dans le cas simple non réactif.En la modelación numérica del flujo de agua subterránea, el resultado de un dado método de solución está afectado por la manera en la cual son simuladas las condiciones de flujo transitorio y las heterogeneidades geológicas. Se demuestra un algoritmo que simula las curvas de ruptura en un pozo de bombeo a través del seguimiento de partículas basado en la convolución en un campo de flujo transitorio para varios acuíferos sintéticos a escala de cuenca. En comparación a métodos basados en redes (Euleriano), el método de la partícula (Lagrangiano) está mejor capacitado para capturar rupturas multimodales causadas por cambios en el bombeo en el pozo, aunque el método de la partícula puede ser aparentemente no lineal debido a la naturaleza discreta de los tiempos de llegada de la partícula. La elección del número de partículas por prueba y error y los tiempos de liberación pueden tal vez superar la aparente no linealidad. Las propiedades de los acuíferos heterogéneos tienden a suavizar los efectos del bombeo transitorio, haciendo difícil separar sus efectos en la estimación de los parámetros. La porosidad, un nuevo parámetro adicionado para el transporte advectivo, puede ser estimada con exactitud usando tanto los métodos basados en red como los basados en partículas, pero las predicciones pueden ser altamente inciertas, aun en el caso simple, no reactivo.Na modelação numérica em escoamentos subterrâneos, o resultado de uma dada solução é afetado pelo modo como as condições de escoamento variável e as heterogeneidades geológicas são simuladas. Tal demonstra-se usando um algoritmo do tipo convolução que simula curvas de concentração no tempo por rastreio de partículas em regime variável para diversas bacias sintéticas à escala da bacia. Em comparação com os métodos do tipo Euleriano (malhas), o método Lagrangiano (partículas) é mais adaptado à representação da passagem da massa causada pela variação do bombeamento num furo, embora o método das partículas possa aparentemente ser não-linear devido à natureza discreta do tempo de chegada das partículas. A seleção do número de partículas e a sua inserção no sistema pelo método da tentativa e erro talvez possa permitir ultrapassar a aparente não-linearidade. As propriedades dos aquíferos heterogéneos tendem a suavizar os efeitos do bombeamento variável no furo, tornando difícil separar o seu efeito na estimação dos parâmetros. A porosidade, um novo parâmetro adicionado para o cálculo do transporte advetivo, pode ser corretamente estimado usando ambos os métodos (baseados na malha ou nas partículas), mas as previsões podem ser altamente incertas, mesmo nos simples casos não-reativos.
Starting Page	813
Ending Page	827
Page Count	15
File Format	PDF
ISSN	14312174
Journal	Hydrogeology Journal
Volume Number	21
Issue Number	4
e-ISSN	14350157
Language	Portuguese
Publisher	Springer-Verlag
Publisher Date	2013-03-13
Publisher Institution	International Association of Hydrogeologists
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Solute transport Inverse modeling Numerical modeling Heterogeneity Scale effects Hydrogeology Hydrology/Water Resources Geology Waste Water Technology Water Pollution Control Water Management Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Water Science and Technology

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