scholarly journals Spatial Variability of Groundwater Arsenic Concentration as Controlled by Hydrogeology: Conceptual Analysis Using 2‐D Reactive Transport Modeling

2018 ◽  
Vol 54 (12) ◽  
Author(s):  
Rasmus Jakobsen ◽  
Jolanta Kazmierczak ◽  
Helle Ugilt Sø ◽  
Dieke Postma
Keyword(s):  
Spatial Variability ◽  
Reactive Transport ◽  
Conceptual Analysis ◽  
Arsenic Concentration ◽  
Transport Modeling ◽  
Reactive Transport Modeling ◽  
Groundwater Arsenic

scholarly journals Probability of Non-Exceedance of Arsenic Concentration in Groundwater Estimated Using Stochastic Multicomponent Reactive Transport Modeling

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3086
Author(s):  
Nico Dalla Libera ◽  
Daniele Pedretti ◽  
Giulia Casiraghi ◽  
Ábel Markó ◽  
Leonardo Piccinini ◽  
...  
Keyword(s):  
Reactive Transport ◽  
Volume Fraction ◽  
Transport Model ◽  
Initial Conditions ◽  
Critical Concentration ◽  
Arsenic Concentration ◽  
Transport Modeling ◽  
Reactive Transport Modeling ◽  
Iron Hydroxides ◽  
Multicomponent Reactive Transport

Stochastic multicomponent reactive transport modeling is a powerful approach to quantify the probability of non-exceedance (PNE) of arsenic (As) critical concentration thresholds in groundwater. The approach is applied to a well-characterized shallow alluvial aquifer near Venice, Italy. Here, As mobility depends primarily on rainfall-controlled redox-dependent precipitation-dissolution of iron hydroxides. A Monte-Carlo analysis based on a calibrated three-dimensional flow and transport model targeted the geochemical initial conditions as the main source of uncertainty of As concentrations in the studied aquifer. It was found that, during 115 simulated days, the fraction of the entire aquifer volume with As > 10 μgL−1 decreased on average from ~43% to ~39% and the average As concentration from ~32 μgL−1 to ~27 μgL−1. Meanwhile, PNE increased from 55% to 60% when 10 μgL−1 was set as target threshold, and from 71% to 78% for 50 μgL−1. The time dependence of As attenuation can be ascribed to the increase of oxidizing conditions during rainfall-dependent aquifer recharge, which causes As sorption on precipitating iron hydroxides. When computing the same statistics for the shallowest 6 m, As attenuation was even more evident. The volume fraction of aquifer with As > 10μgL−1 dropped from 40% to 28% and the average As concentration from 31 μgL−1 to 20 μgL−1, whereas PNE increased from 58% to 70% for As < 10 μgL−1 and from 71% to 86% for As < 50 μgL−1. Thus, the wells screen depth in the aquifer can be a critical aspect when estimating As risk, owing to the depth-dependent relative change in redox conditions during rainfall events.

scholarly journals Coupling Flow, Heat, and Reactive Transport Modeling to Reproduce In Situ Redox Potential Evolution: Application to an Infiltration Pond

2020 ◽  
Vol 54 (19) ◽  
pp. 12092-12101
Author(s):  
Paula Rodríguez-Escales ◽  
Carme Barba ◽  
Xavier Sanchez-Vila ◽  
Diederik Jacques ◽  
Albert Folch
Keyword(s):  
Redox Potential ◽  
Reactive Transport ◽  
Transport Modeling ◽  
Reactive Transport Modeling ◽  
Flow Heat

Reactive transport modeling of subsurface arsenic removal systems in rural Bangladesh

2015 ◽  
Vol 537 ◽  
pp. 277-293 ◽  
Author(s):  
M.M. Rahman ◽  
M. Bakker ◽  
C.H.L. Patty ◽  
Z. Hassan ◽  
W.F.M. Röling ◽  
...  
Keyword(s):  
Reactive Transport ◽  
Arsenic Removal ◽  
Transport Modeling ◽  
Reactive Transport Modeling ◽  
Rural Bangladesh

scholarly journals PROOST: object-oriented approach to multiphase reactive transport modeling in porous media

2015 ◽  
Vol 18 (2) ◽  
pp. 310-328 ◽  
Author(s):  
P. Gamazo ◽  
L. J. Slooten ◽  
J. Carrera ◽  
M. W. Saaltink ◽  
S. Bea ◽  
...  
Keyword(s):  
Reactive Transport ◽  
Chemical Species ◽  
Object Oriented ◽  
Object Oriented Programming ◽  
Transport Modeling ◽  
Reactive Transport Modeling ◽  
Hydrodynamic Processes ◽  
Object Oriented Approach ◽  
Transport Problems ◽  
Oriented Approach

Reactive transport modeling involves solving several nonlinear coupled phenomena, among them, the flow of fluid phases, the transport of chemical species and energy, and chemical reactions. There are different ways to consider this coupling that might be more or less suitable depending on the nature of the problem to be solved. In this paper we acknowledge the importance of flexibility on reactive transport codes and how object-oriented programming can facilitate this feature. We present PROOST, an object-oriented code that allows solving reactive transport problems considering different coupling approaches. The code main classes and their interactions are presented. PROOST performance is illustrated by the resolution of a multiphase reactive transport problem where geochemistry affects hydrodynamic processes.

Addressing Water and Energy Challenges with Reactive Transport Modeling

2021 ◽  
Vol 38 (3) ◽  
pp. 109-114
Author(s):  
Hang Deng ◽  
Alexis Navarre-Sitchler ◽  
Elanor Heil ◽  
Catherine Peters
Keyword(s):  
Reactive Transport ◽  
Transport Modeling ◽  
Reactive Transport Modeling
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