Monitoring and reactive-transport modeling of the spatial and temporal variations of the Strengbach spring hydrochemistry

Ackerer, Julien; Chabaux, François; Lucas, Yann; Clément, Alain; Fritz, Bertrand; Beaulieu, E.; Viville, Daniel; Pierret, Marie‐Claire; Gangloff, Sophie; Négrel, Ph.

doi:10.1016/j.gca.2018.01.025

Cited by 17 publications

(43 citation statements)

References 50 publications

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“…Hydrogeochemical simulations were performed with the 1D thermo-kinetic code KIRMAT (KInectic of Reaction and MAss Transport; Gérard et al, 1998;Ngo et al, 2014;Lucas et al, 2017;Ackerer et al, 2018). KIRMAT is based on the Transition State Theory (TST) and solves the equations describing geochemical reactions and transport mass balance in a porous medium.…”

Section: The Kirmat Reactive-transport Codementioning

confidence: 99%

“…The clay fraction is defined in KIRMAT as a solid solution made up of a combination of pure clay end-members (Tardy and Fritz, 1981). The clay solid solution is precipitated at thermodynamic equilibrium and its composition varies over time depending on the water chemistry and the evolution of regolith mineralogy (Ackerer et al, 2018). The KIRMAT code also considers feedback effects between mineral mass budgets, reactive surfaces, and changes in bedrock porosity (Ngo et al, 2014).…”

Section: The Kirmat Reactive-transport Codementioning

confidence: 99%

“…How regolith structure and landscape evolution influence the hydrochemical behavior of watersheds depends on multiple physical, chemical and biological processes (Chorover et al, 2011;Ackerer et al, 2016;Reis and Brantley, 2019). Depicting how these processes are linked will depend on our ability to cross long-term monitoring efforts and the development of integrative modeling approaches (Steefel et al, 2015;Brantley et al, 2017;Li et al, 2017;Ackerer et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…C-Q relations from stream water are acknowledged to aggregate a large number of processes, from climate, geochemical and ionic exchange reactions to hydrologic, biological and transport processes (Chorover et al, 2017). Recent reports show that C-Q relations can provide constraints on water flow paths along hillslopes (Ameli et al, 2017), mixing of different water end members in rivers (Liu et al, 2017;Torres et al, 2017) or seasonal variability of water transit times in headwater watersheds (Ackerer et al, 2018). There are ongoing debates around the extent to which C-Q relations are controlled by mixing between deep and shallow waters (Kim et al, 2017), synchronous dissolution of clay minerals (Li et al, 2017) and/or seasonally variable flow paths (Herndon et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Determining How Critical Zone Structure Constrains Hydrogeochemical Behavior of Watersheds: Learning From an Elevation Gradient in California's Sierra Nevada

et al. 2020

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Concentration-discharge (C-Q) relations can provide insight into the dynamic behavior of the Critical Zone (CZ), as C-Q relations integrate the spatial distribution and timing of watershed hydrogeochemical processes. This study blends geomorphologic analysis, C-Q relations and reactive-transport modeling using a rich dataset from an elevation gradient of eight watersheds in the Southern Sierra Nevada, California. We found that the CZ structure exerts a strong control on the C-Q relations, and on the hydrogeochemical behavior of headwater watersheds. Watersheds with thin regolith, a large stream network, and limited water storage have fast mean transit times along subsurface flow lines, and show limited seasonal variability in ionic concentrations in streamflow (i.e., chemostatic behavior). In contrast, watersheds with thicker regolith, a small stream network and more water storage have longer transit times along subsurface flow lines, and exhibit greater chemical variability (i.e., chemodynamic behavior). Independent estimates of mean transit times and water storage from other isotopic, hydrologic and geophysical studies were consistent with results from modeling C-Q relations. The stream chemistry and its variability were controlled by lateral flow within the regolith, and no mixing with deep groundwater was needed to explain the observed chemical variability. This study opens the possibility to estimate water-storage capacity and mean transit times, and thus drought resistance in watersheds, by using quantitative modeling of C-Q relations.

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Section: The Kirmat Reactive-transport Codementioning

confidence: 99%

Section: The Kirmat Reactive-transport Codementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Determining How Critical Zone Structure Constrains Hydrogeochemical Behavior of Watersheds: Learning From an Elevation Gradient in California's Sierra Nevada

et al. 2020

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“…This was done earlier in Sun et al (2017) Earth's Future. Besides the large uncertainty with respect to climate change projections, current data availability is insufficient to calibrate a complex global model, which are currently only applied on site to catchment scale (Pierret et al, 2018;Ackerer et al, 2018;Beaulieu et al, 2016). We argue that a simple model of weathering is appropriate.…”

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confidence: 99%

Reply RC1

Garcia¹

2020

Preprint

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Dear reviewer, we have carefully reviewed the comments and revised the manuscript. We thank you for constructive remarks and took care to include all of them in the manuscript. We added a detailed reply to each point as addressed below. Reviewers comment Our reply RC1: Comments 62: How does this older Gaillardet number compare to those more recently produced by co-author Hartmann's papers and Moon et al. (2014)? C1 BGD Interactive comment Printer-friendly version Discussion paper I would consider citing all of these sources and giving a range of the CO2 consumption rate by silicate weathering is In line 67 and 68 we gave the range and considered the suggested authors. RC1: 71-76: Work by Porder and Hilley, as well as Waldbauer and Chamberlain (2005) should be cited in this paragraph or previously The work of Porder and Hilley (2011) is cited in line 80, and Waldbauer and Chamberlain (2005) is cited in line 64. RC1: 97: Have others done this type of analysis or suggested this since von Liebig and Playfair (1843)? We rephrased the sentence. According to Liebig's Law of the minimum(von Liebig and Playfair, 1843), biomass productivity will be limited by the scarcest nutrient in the soil. This law is widely applied to biological populations and in many ecosystem models. The new sentence is in line 103 to 106. RC1: 108: What about changes in precipitation and runoff? The weathering rates of minerals are controlled by the following mechanisms: (i) soil pH (

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A study on groundwater recharge in the Anyanghe River alluvial fan, North China Plain, based on hydrochemistry, stable isotopes and tritium

et al. 2021

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Monitoring and reactive-transport modeling of the spatial and temporal variations of the Strengbach spring hydrochemistry

Cited by 17 publications

References 50 publications

Determining How Critical Zone Structure Constrains Hydrogeochemical Behavior of Watersheds: Learning From an Elevation Gradient in California's Sierra Nevada

Determining How Critical Zone Structure Constrains Hydrogeochemical Behavior of Watersheds: Learning From an Elevation Gradient in California's Sierra Nevada

Reply RC1

A study on groundwater recharge in the Anyanghe River alluvial fan, North China Plain, based on hydrochemistry, stable isotopes and tritium

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