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#hydrogeochemistry — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hydrogeochemistry, aggregated by home.social.

  1. A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
    youtu.be/WDIze8QNMYs

    Yes - it’s simplified. Yes - real systems are messier.
    But sometimes a "clean" visual helps to communicate density-driven flow and reactive processes more intuitively than 20 pages of equations.

    The animation idea emerged while working on my monograph. Draft versions are available here:
    zenodo.org/records/16741148

    Engineering humor is allowed - even in hydrogeochemistry 😁

    #Hydrogeochemistry #Groundwater #MineWater #ReactiveTransport #CarbonateAquifer #PHREEQC #AIinScience #Geoscience #SvystunovaGully

  2. A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
    youtu.be/WDIze8QNMYs

    Yes - it’s simplified. Yes - real systems are messier.
    But sometimes a "clean" visual helps to communicate density-driven flow and reactive processes more intuitively than 20 pages of equations.

    The animation idea emerged while working on my monograph. Draft versions are available here:
    zenodo.org/records/16741148

    Engineering humor is allowed - even in hydrogeochemistry 😁

    #Hydrogeochemistry #Groundwater #MineWater #ReactiveTransport #CarbonateAquifer #PHREEQC #AIinScience #Geoscience #SvystunovaGully

  3. A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
    youtu.be/WDIze8QNMYs

    Yes - it’s simplified. Yes - real systems are messier.
    But sometimes a "clean" visual helps to communicate density-driven flow and reactive processes more intuitively than 20 pages of equations.

    The animation idea emerged while working on my monograph. Draft versions are available here:
    zenodo.org/records/16741148

    Engineering humor is allowed - even in hydrogeochemistry 😁

    #Hydrogeochemistry #Groundwater #MineWater #ReactiveTransport #CarbonateAquifer #PHREEQC #AIinScience #Geoscience #SvystunovaGully

  4. A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
    youtu.be/WDIze8QNMYs

    Yes - it’s simplified. Yes - real systems are messier.
    But sometimes a "clean" visual helps to communicate density-driven flow and reactive processes more intuitively than 20 pages of equations.

    The animation idea emerged while working on my monograph. Draft versions are available here:
    zenodo.org/records/16741148

    Engineering humor is allowed - even in hydrogeochemistry 😁

    #Hydrogeochemistry #Groundwater #MineWater #ReactiveTransport #CarbonateAquifer #PHREEQC #AIinScience #Geoscience #SvystunovaGully

  5. Thousands of studies describe Rayleigh–Taylor instability, and most hydrogeological models acknowledge its importance in contaminant transport.

    However, in studies of the Svystunova gully mine-water storage pond, I have not seen density explicitly accounted for — despite highly mineralized waters where this factor can fundamentally change plume behaviour.
    By calculating solution density within the contamination halo, I demonstrated a real risk of gravity-driven sinking of the contamination plume to the base of the aquifer. This finding adds a critical dimension to impact assessment and is now documented as a standalone section in my ongoing report.

    If you work with mine water, aquifers contamination, or long-term contamination modelling, this is a parameter worth revisiting.

    #Hydrogeochemistry #Groundwater #MineWater #PHREEQC #RStats #QGIS #EnvironmentalRisk #Contamination #RiskAnalysis #SvystunovaGully

  6. Thousands of studies describe Rayleigh–Taylor instability, and most hydrogeological models acknowledge its importance in contaminant transport.

    However, in studies of the Svystunova gully mine-water storage pond, I have not seen density explicitly accounted for — despite highly mineralized waters where this factor can fundamentally change plume behaviour.
    By calculating solution density within the contamination halo, I demonstrated a real risk of gravity-driven sinking of the contamination plume to the base of the aquifer. This finding adds a critical dimension to impact assessment and is now documented as a standalone section in my ongoing report.

    If you work with mine water, aquifers contamination, or long-term contamination modelling, this is a parameter worth revisiting.

    #Hydrogeochemistry #Groundwater #MineWater #PHREEQC #RStats #QGIS #EnvironmentalRisk #Contamination #RiskAnalysis #SvystunovaGully

  7. Thousands of studies describe Rayleigh–Taylor instability, and most hydrogeological models acknowledge its importance in contaminant transport.

    However, in studies of the Svystunova gully mine-water storage pond, I have not seen density explicitly accounted for — despite highly mineralized waters where this factor can fundamentally change plume behaviour.
    By calculating solution density within the contamination halo, I demonstrated a real risk of gravity-driven sinking of the contamination plume to the base of the aquifer. This finding adds a critical dimension to impact assessment and is now documented as a standalone section in my ongoing report.

    If you work with mine water, aquifers contamination, or long-term contamination modelling, this is a parameter worth revisiting.

    #Hydrogeochemistry #Groundwater #MineWater #PHREEQC #RStats #QGIS #EnvironmentalRisk #Contamination #RiskAnalysis #SvystunovaGully

  8. I’m currently open to opportunities related to environmental geochemistry, groundwater, and geochemical modeling.

    My background includes PHREEQC-based modeling, reproducible workflows (R, QGIS), environmental data analysis, applied machine learning (exploratory / environmental) and applied research on mine-water impacts on carbonate aquifers.

    An example of my applied research and methodology (open access):
    zenodo.org/records/16741148

    Based in Canada (Calgary). Open to discussions and professional connections.

    #Hydrogeochemistry #Groundwater #EnvironmentalGeochemistry
    #PHREEQC #GeochemicalModeling #ReproducibleResearch #Canada #Alberta #Calgary #YYC

  9. I’m currently open to opportunities related to environmental geochemistry, groundwater, and geochemical modeling.

    My background includes PHREEQC-based modeling, reproducible workflows (R, QGIS), environmental data analysis, applied machine learning (exploratory / environmental) and applied research on mine-water impacts on carbonate aquifers.

    An example of my applied research and methodology (open access):
    zenodo.org/records/16741148

    Based in Canada (Calgary). Open to discussions and professional connections.

    #Hydrogeochemistry #Groundwater #EnvironmentalGeochemistry
    #PHREEQC #GeochemicalModeling #ReproducibleResearch #Canada #Alberta #Calgary #YYC

  10. I’m currently open to opportunities related to environmental geochemistry, groundwater, and geochemical modeling.

    My background includes PHREEQC-based modeling, reproducible workflows (R, QGIS), environmental data analysis, applied machine learning (exploratory / environmental) and applied research on mine-water impacts on carbonate aquifers.

    An example of my applied research and methodology (open access):
    zenodo.org/records/16741148

    Based in Canada (Calgary). Open to discussions and professional connections.

    #Hydrogeochemistry #Groundwater #EnvironmentalGeochemistry
    #PHREEQC #GeochemicalModeling #ReproducibleResearch #Canada #Alberta #Calgary #YYC

  11. I’m currently open to opportunities related to environmental geochemistry, groundwater, and geochemical modeling.

    My background includes PHREEQC-based modeling, reproducible workflows (R, QGIS), environmental data analysis, applied machine learning (exploratory / environmental) and applied research on mine-water impacts on carbonate aquifers.

    An example of my applied research and methodology (open access):
    zenodo.org/records/16741148

    Based in Canada (Calgary). Open to discussions and professional connections.

    #Hydrogeochemistry #Groundwater #EnvironmentalGeochemistry
    #PHREEQC #GeochemicalModeling #ReproducibleResearch #Canada #Alberta #Calgary #YYC

  12. #SvystunovaGully
    I’ve published a short methodological paper on Zenodo, derived from my ongoing monograph on mine-water impact on carbonate aquifers.

    The note introduces the pre-dissolution effect — a positive feedback mechanism where aggressive saline waters accelerate carbonate dissolution, increasing permeability and prolonging contamination even after the source is isolated.

    The focus is not on a single case study, but on a transferable geochemical interpretation framework (PHREEQC-based, reproducible, field-data driven).

    📄 Open access: zenodo.org/records/18142106

    #Hydrogeochemistry #EnvironmentalGeochemistry #PHREEQC #Groundwater #ReproducibleResearch #RStats #QGIS #FOSS

  13. #SvystunovaGully
    I’ve published a short methodological paper on Zenodo, derived from my ongoing monograph on mine-water impact on carbonate aquifers.

    The note introduces the pre-dissolution effect — a positive feedback mechanism where aggressive saline waters accelerate carbonate dissolution, increasing permeability and prolonging contamination even after the source is isolated.

    The focus is not on a single case study, but on a transferable geochemical interpretation framework (PHREEQC-based, reproducible, field-data driven).

    📄 Open access: zenodo.org/records/18142106

    #Hydrogeochemistry #EnvironmentalGeochemistry #PHREEQC #Groundwater #ReproducibleResearch #RStats #QGIS #FOSS

  14. #SvystunovaGully
    I’ve published a short methodological paper on Zenodo, derived from my ongoing monograph on mine-water impact on carbonate aquifers.

    The note introduces the pre-dissolution effect — a positive feedback mechanism where aggressive saline waters accelerate carbonate dissolution, increasing permeability and prolonging contamination even after the source is isolated.

    The focus is not on a single case study, but on a transferable geochemical interpretation framework (PHREEQC-based, reproducible, field-data driven).

    📄 Open access: zenodo.org/records/18142106

    #Hydrogeochemistry #EnvironmentalGeochemistry #PHREEQC #Groundwater #ReproducibleResearch #RStats #QGIS #FOSS

  15. #SvystunovaGully
    I’ve published a short methodological paper on Zenodo, derived from my ongoing monograph on mine-water impact on carbonate aquifers.

    The note introduces the pre-dissolution effect — a positive feedback mechanism where aggressive saline waters accelerate carbonate dissolution, increasing permeability and prolonging contamination even after the source is isolated.

    The focus is not on a single case study, but on a transferable geochemical interpretation framework (PHREEQC-based, reproducible, field-data driven).

    📄 Open access: zenodo.org/records/18142106

    #Hydrogeochemistry #EnvironmentalGeochemistry #PHREEQC #Groundwater #ReproducibleResearch #RStats #QGIS #FOSS

  16. #SvystunovaGully
    I’ve published a short methodological paper on Zenodo, derived from my ongoing monograph on mine-water impact on carbonate aquifers.

    The note introduces the pre-dissolution effect — a positive feedback mechanism where aggressive saline waters accelerate carbonate dissolution, increasing permeability and prolonging contamination even after the source is isolated.

    The focus is not on a single case study, but on a transferable geochemical interpretation framework (PHREEQC-based, reproducible, field-data driven).

    📄 Open access: zenodo.org/records/18142106

    #Hydrogeochemistry #EnvironmentalGeochemistry #PHREEQC #Groundwater #ReproducibleResearch #RStats #QGIS #FOSS

  17. Seven months after publishing the draft of my monograph on Zenodo, it has passed 2,000 downloads.

    I take this as a signal of ongoing interest in the topic and in the proposed methodological approach. It also suggests that the framework may be applicable beyond the original case study.

    Currently working on the next version with further refinements and extensions.

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #EnvironmentalGeochemistry #rstats #qgis #SvystunovaGully #mining

  18. Seven months after publishing the draft of my monograph on Zenodo, it has passed 2,000 downloads.

    I take this as a signal of ongoing interest in the topic and in the proposed methodological approach. It also suggests that the framework may be applicable beyond the original case study.

    Currently working on the next version with further refinements and extensions.

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #EnvironmentalGeochemistry #rstats #qgis #SvystunovaGully #mining

  19. Seven months after publishing the draft of my monograph on Zenodo, it has passed 2,000 downloads.

    I take this as a signal of ongoing interest in the topic and in the proposed methodological approach. It also suggests that the framework may be applicable beyond the original case study.

    Currently working on the next version with further refinements and extensions.

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #EnvironmentalGeochemistry #rstats #qgis #SvystunovaGully #mining

  20. Seven months after publishing the draft of my monograph on Zenodo, it has passed 2,000 downloads.

    I take this as a signal of ongoing interest in the topic and in the proposed methodological approach. It also suggests that the framework may be applicable beyond the original case study.

    Currently working on the next version with further refinements and extensions.

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #EnvironmentalGeochemistry #rstats #qgis #SvystunovaGully #mining

  21. Seven months after publishing the draft of my monograph on Zenodo, it has passed 2,000 downloads.

    I take this as a signal of ongoing interest in the topic and in the proposed methodological approach. It also suggests that the framework may be applicable beyond the original case study.

    Currently working on the next version with further refinements and extensions.

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #EnvironmentalGeochemistry #rstats #qgis #SvystunovaGully #mining

  22. 🧪 Davis vs Pitzer: stress-testing a geochemical model

    In hydrogeochemical modeling, there is a common concern:
    are “simpler” activity models reliable for saline waters, or do they break down beyond their formal limits?

    In my study, I primarily use minteq.v4.dat (Davies equation) in PHREEQC. Formally, Davies is recommended up to ionic strength ~0.5–0.7, while Pitzer theory is considered the gold standard for brines.

    Instead of assuming, I tested it.

    What I did
    - Recalculated >1000 real water samples
    - Compared saturation indices (SI) computed with:
    - Davies-based MINTEQ.V4
    - Pitzer formulation (pitzer.dat)

    What I found
    For calcite, results are nearly identical:
    - points lie close to the 1:1 line
    - median SI differs by <0.1
    - no statistically significant difference (Mann–Whitney p = 0.22)

    This is not an argument against Pitzer.
    It is evidence that Davies-based models can remain robust for certain systems when their

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #SvystunovaGully

  23. 🧪 Davis vs Pitzer: stress-testing a geochemical model

    In hydrogeochemical modeling, there is a common concern:
    are “simpler” activity models reliable for saline waters, or do they break down beyond their formal limits?

    In my study, I primarily use minteq.v4.dat (Davies equation) in PHREEQC. Formally, Davies is recommended up to ionic strength ~0.5–0.7, while Pitzer theory is considered the gold standard for brines.

    Instead of assuming, I tested it.

    What I did
    - Recalculated >1000 real water samples
    - Compared saturation indices (SI) computed with:
    - Davies-based MINTEQ.V4
    - Pitzer formulation (pitzer.dat)

    What I found
    For calcite, results are nearly identical:
    - points lie close to the 1:1 line
    - median SI differs by <0.1
    - no statistically significant difference (Mann–Whitney p = 0.22)

    This is not an argument against Pitzer.
    It is evidence that Davies-based models can remain robust for certain systems when their

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #SvystunovaGully

  24. 🧪 Davis vs Pitzer: stress-testing a geochemical model

    In hydrogeochemical modeling, there is a common concern:
    are “simpler” activity models reliable for saline waters, or do they break down beyond their formal limits?

    In my study, I primarily use minteq.v4.dat (Davies equation) in PHREEQC. Formally, Davies is recommended up to ionic strength ~0.5–0.7, while Pitzer theory is considered the gold standard for brines.

    Instead of assuming, I tested it.

    What I did
    - Recalculated >1000 real water samples
    - Compared saturation indices (SI) computed with:
    - Davies-based MINTEQ.V4
    - Pitzer formulation (pitzer.dat)

    What I found
    For calcite, results are nearly identical:
    - points lie close to the 1:1 line
    - median SI differs by <0.1
    - no statistically significant difference (Mann–Whitney p = 0.22)

    This is not an argument against Pitzer.
    It is evidence that Davies-based models can remain robust for certain systems when their

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #SvystunovaGully

  25. 🧪 Davis vs Pitzer: stress-testing a geochemical model

    In hydrogeochemical modeling, there is a common concern:
    are “simpler” activity models reliable for saline waters, or do they break down beyond their formal limits?

    In my study, I primarily use minteq.v4.dat (Davies equation) in PHREEQC. Formally, Davies is recommended up to ionic strength ~0.5–0.7, while Pitzer theory is considered the gold standard for brines.

    Instead of assuming, I tested it.

    What I did
    - Recalculated >1000 real water samples
    - Compared saturation indices (SI) computed with:
    - Davies-based MINTEQ.V4
    - Pitzer formulation (pitzer.dat)

    What I found
    For calcite, results are nearly identical:
    - points lie close to the 1:1 line
    - median SI differs by <0.1
    - no statistically significant difference (Mann–Whitney p = 0.22)

    This is not an argument against Pitzer.
    It is evidence that Davies-based models can remain robust for certain systems when their

    #Hydrogeochemistry #PHREEQC #GeochemicalModeling #ReproducibleResearch #SvystunovaGully

  26. The “Hydrochemical Gap”: why manual saturation indices don’t work
    Many Kryvbas studies still estimate calcite saturation as if high-salinity waters behaved like distilled water.
    This plot shows the opposite.

    🔵 Blue line: textbook Ksp for calcite.
    🔴 Red points: actual ion activity product (IAP) for real samples (PHREEQC).

    Key facts:

    1️⃣ At 30–40 g/L salinity, real IAP is 1.5–1.6 log units lower — meaning free Ca²⁺ activity is ~38× lower than concentration-based formulas predict.

    2️⃣ The dip at 2–5 g/L marks the mixing zone, where ionic strength and ion-pairing change non-linearly and break simple calculations.

    3️⃣ Main reason:
    • high ionic strength suppresses activity,
    • Ca²⁺ forms complexes,
    • multicomponent interactions are non-linear.

    Result:
    Manual SI calculations suggest “precipitation,” but real activity shows undersaturation and aggressive water.
    Only thermodynamic modelling reveals the true behaviour.

    #Hydrogeochemistry #Geochemistry #Mining #PHREEQC #RStats #SvystunovaGully #Kryvbas #SvystunovaGully

  27. The “Hydrochemical Gap”: why manual saturation indices don’t work
    Many Kryvbas studies still estimate calcite saturation as if high-salinity waters behaved like distilled water.
    This plot shows the opposite.

    🔵 Blue line: textbook Ksp for calcite.
    🔴 Red points: actual ion activity product (IAP) for real samples (PHREEQC).

    Key facts:

    1️⃣ At 30–40 g/L salinity, real IAP is 1.5–1.6 log units lower — meaning free Ca²⁺ activity is ~38× lower than concentration-based formulas predict.

    2️⃣ The dip at 2–5 g/L marks the mixing zone, where ionic strength and ion-pairing change non-linearly and break simple calculations.

    3️⃣ Main reason:
    • high ionic strength suppresses activity,
    • Ca²⁺ forms complexes,
    • multicomponent interactions are non-linear.

    Result:
    Manual SI calculations suggest “precipitation,” but real activity shows undersaturation and aggressive water.
    Only thermodynamic modelling reveals the true behaviour.

    #Hydrogeochemistry #Geochemistry #Mining #PHREEQC #RStats #SvystunovaGully #Kryvbas #SvystunovaGully

  28. The “Hydrochemical Gap”: why manual saturation indices don’t work
    Many Kryvbas studies still estimate calcite saturation as if high-salinity waters behaved like distilled water.
    This plot shows the opposite.

    🔵 Blue line: textbook Ksp for calcite.
    🔴 Red points: actual ion activity product (IAP) for real samples (PHREEQC).

    Key facts:

    1️⃣ At 30–40 g/L salinity, real IAP is 1.5–1.6 log units lower — meaning free Ca²⁺ activity is ~38× lower than concentration-based formulas predict.

    2️⃣ The dip at 2–5 g/L marks the mixing zone, where ionic strength and ion-pairing change non-linearly and break simple calculations.

    3️⃣ Main reason:
    • high ionic strength suppresses activity,
    • Ca²⁺ forms complexes,
    • multicomponent interactions are non-linear.

    Result:
    Manual SI calculations suggest “precipitation,” but real activity shows undersaturation and aggressive water.
    Only thermodynamic modelling reveals the true behaviour.

    #Hydrogeochemistry #Geochemistry #Mining #PHREEQC #RStats #SvystunovaGully #Kryvbas #SvystunovaGully

  29. The “Hydrochemical Gap”: why manual saturation indices don’t work
    Many Kryvbas studies still estimate calcite saturation as if high-salinity waters behaved like distilled water.
    This plot shows the opposite.

    🔵 Blue line: textbook Ksp for calcite.
    🔴 Red points: actual ion activity product (IAP) for real samples (PHREEQC).

    Key facts:

    1️⃣ At 30–40 g/L salinity, real IAP is 1.5–1.6 log units lower — meaning free Ca²⁺ activity is ~38× lower than concentration-based formulas predict.

    2️⃣ The dip at 2–5 g/L marks the mixing zone, where ionic strength and ion-pairing change non-linearly and break simple calculations.

    3️⃣ Main reason:
    • high ionic strength suppresses activity,
    • Ca²⁺ forms complexes,
    • multicomponent interactions are non-linear.

    Result:
    Manual SI calculations suggest “precipitation,” but real activity shows undersaturation and aggressive water.
    Only thermodynamic modelling reveals the true behaviour.

    #Hydrogeochemistry #Geochemistry #Mining #PHREEQC #RStats #SvystunovaGully #Kryvbas #SvystunovaGully

  30. 🧪 The “Oversaturation Illusion” in Kryvbas Mine Waters

    While modeling Kryvbas water chemistry (R + PHREEQC), I found a fundamental issue in how saturation is often evaluated.

    We usually calculate calcite equilibrium from ion concentrations — fine for fresh water.
    But Kryvbas mine waters are brines, where ionic strength and complexation dominate.

    📉 Results from ~1000 samples (minteq.v4):
    - Once salinity exceeds ~3 g/L, Ca²⁺ activity drops sharply.
    - At 15–20 g/L, calcium activity coefficient is ≈ 0.35.

    Meaning: more than half of the “calcium concentration” is inert — a dead load that cannot form precipitates.

    This explains why traditional methods predicted oversaturation where the water was actually aggressive and dissolving rocks.

    Modeling: PHREEQC + minteq.v4 (US EPA), Davis equation.

    #Hydrogeochemistry #WaterChemistry #PHREEQC #Geochemistry #Groundwater
    #Mining #Tailings #IonActivity #Thermodynamics #Kryvbas #OpenScience #RStats #SvystunovaGully

  31. 🧪 The “Oversaturation Illusion” in Kryvbas Mine Waters

    While modeling Kryvbas water chemistry (R + PHREEQC), I found a fundamental issue in how saturation is often evaluated.

    We usually calculate calcite equilibrium from ion concentrations — fine for fresh water.
    But Kryvbas mine waters are brines, where ionic strength and complexation dominate.

    📉 Results from ~1000 samples (minteq.v4):
    - Once salinity exceeds ~3 g/L, Ca²⁺ activity drops sharply.
    - At 15–20 g/L, calcium activity coefficient is ≈ 0.35.

    Meaning: more than half of the “calcium concentration” is inert — a dead load that cannot form precipitates.

    This explains why traditional methods predicted oversaturation where the water was actually aggressive and dissolving rocks.

    Modeling: PHREEQC + minteq.v4 (US EPA), Davis equation.

    #Hydrogeochemistry #WaterChemistry #PHREEQC #Geochemistry #Groundwater
    #Mining #Tailings #IonActivity #Thermodynamics #Kryvbas #OpenScience #RStats #SvystunovaGully

  32. 🧪 The “Oversaturation Illusion” in Kryvbas Mine Waters

    While modeling Kryvbas water chemistry (R + PHREEQC), I found a fundamental issue in how saturation is often evaluated.

    We usually calculate calcite equilibrium from ion concentrations — fine for fresh water.
    But Kryvbas mine waters are brines, where ionic strength and complexation dominate.

    📉 Results from ~1000 samples (minteq.v4):
    - Once salinity exceeds ~3 g/L, Ca²⁺ activity drops sharply.
    - At 15–20 g/L, calcium activity coefficient is ≈ 0.35.

    Meaning: more than half of the “calcium concentration” is inert — a dead load that cannot form precipitates.

    This explains why traditional methods predicted oversaturation where the water was actually aggressive and dissolving rocks.

    Modeling: PHREEQC + minteq.v4 (US EPA), Davis equation.

    #Hydrogeochemistry #WaterChemistry #PHREEQC #Geochemistry #Groundwater
    #Mining #Tailings #IonActivity #Thermodynamics #Kryvbas #OpenScience #RStats #SvystunovaGully

  33. 🧪 The “Oversaturation Illusion” in Kryvbas Mine Waters

    While modeling Kryvbas water chemistry (R + PHREEQC), I found a fundamental issue in how saturation is often evaluated.

    We usually calculate calcite equilibrium from ion concentrations — fine for fresh water.
    But Kryvbas mine waters are brines, where ionic strength and complexation dominate.

    📉 Results from ~1000 samples (minteq.v4):
    - Once salinity exceeds ~3 g/L, Ca²⁺ activity drops sharply.
    - At 15–20 g/L, calcium activity coefficient is ≈ 0.35.

    Meaning: more than half of the “calcium concentration” is inert — a dead load that cannot form precipitates.

    This explains why traditional methods predicted oversaturation where the water was actually aggressive and dissolving rocks.

    Modeling: PHREEQC + minteq.v4 (US EPA), Davis equation.

    #Hydrogeochemistry #WaterChemistry #PHREEQC #Geochemistry #Groundwater
    #Mining #Tailings #IonActivity #Thermodynamics #Kryvbas #OpenScience #RStats #SvystunovaGully

  34. 🧪 The “Oversaturation Illusion” in Kryvbas Mine Waters

    While modeling Kryvbas water chemistry (R + PHREEQC), I found a fundamental issue in how saturation is often evaluated.

    We usually calculate calcite equilibrium from ion concentrations — fine for fresh water.
    But Kryvbas mine waters are brines, where ionic strength and complexation dominate.

    📉 Results from ~1000 samples (minteq.v4):
    - Once salinity exceeds ~3 g/L, Ca²⁺ activity drops sharply.
    - At 15–20 g/L, calcium activity coefficient is ≈ 0.35.

    Meaning: more than half of the “calcium concentration” is inert — a dead load that cannot form precipitates.

    This explains why traditional methods predicted oversaturation where the water was actually aggressive and dissolving rocks.

    Modeling: PHREEQC + minteq.v4 (US EPA), Davis equation.

    #Hydrogeochemistry #WaterChemistry #PHREEQC #Geochemistry #Groundwater
    #Mining #Tailings #IonActivity #Thermodynamics #Kryvbas #OpenScience #RStats #SvystunovaGully

  35. 🎉 A small milestone for my hydrogeochemistry monograph about #SvystunovaGully

    Today, my Zenodo record passed 1,500 downloads across both released versions — something I never expected when I began this project as a personal, curiosity-driven exploration.

    It’s an independent study on groundwater–rock interaction, technogenic metasomatism, and carbonate–water equilibria, based largely on PHREEQC thermodynamic modelling and geospatial data.

    I’m grateful to everyone who took an interest, skimmed, downloaded, or shared it.
    Your attention gives this work a life I didn’t imagine it would ever have.

    ❗ And one more thing: in the monograph’s preamble I explicitly thank the developers of free and open-source software. Without their tools — R, PHREEQC, QGIS, LaTeX, Linux, JabRef and many others — this research would simply not have been possible.

    #Hydrogeochemistry #Geochemistry #Groundwater #PHREEQC #FOSS #OpenScience #RStats #QGIS #Zenodo #EnvironmentalScience #Carbonates #Metasomatism #GeoData #WaterPollution

  36. 🎉 A small milestone for my hydrogeochemistry monograph about #SvystunovaGully

    Today, my Zenodo record passed 1,500 downloads across both released versions — something I never expected when I began this project as a personal, curiosity-driven exploration.

    It’s an independent study on groundwater–rock interaction, technogenic metasomatism, and carbonate–water equilibria, based largely on PHREEQC thermodynamic modelling and geospatial data.

    I’m grateful to everyone who took an interest, skimmed, downloaded, or shared it.
    Your attention gives this work a life I didn’t imagine it would ever have.

    ❗ And one more thing: in the monograph’s preamble I explicitly thank the developers of free and open-source software. Without their tools — R, PHREEQC, QGIS, LaTeX, Linux, JabRef and many others — this research would simply not have been possible.

    #Hydrogeochemistry #Geochemistry #Groundwater #PHREEQC #FOSS #OpenScience #RStats #QGIS #Zenodo #EnvironmentalScience #Carbonates #Metasomatism #GeoData #WaterPollution

  37. 🎉 A small milestone for my hydrogeochemistry monograph about #SvystunovaGully

    Today, my Zenodo record passed 1,500 downloads across both released versions — something I never expected when I began this project as a personal, curiosity-driven exploration.

    It’s an independent study on groundwater–rock interaction, technogenic metasomatism, and carbonate–water equilibria, based largely on PHREEQC thermodynamic modelling and geospatial data.

    I’m grateful to everyone who took an interest, skimmed, downloaded, or shared it.
    Your attention gives this work a life I didn’t imagine it would ever have.

    ❗ And one more thing: in the monograph’s preamble I explicitly thank the developers of free and open-source software. Without their tools — R, PHREEQC, QGIS, LaTeX, Linux, JabRef and many others — this research would simply not have been possible.

    #Hydrogeochemistry #Geochemistry #Groundwater #PHREEQC #FOSS #OpenScience #RStats #QGIS #Zenodo #EnvironmentalScience #Carbonates #Metasomatism #GeoData #WaterPollution

  38. 🎉 A small milestone for my hydrogeochemistry monograph about #SvystunovaGully

    Today, my Zenodo record passed 1,500 downloads across both released versions — something I never expected when I began this project as a personal, curiosity-driven exploration.

    It’s an independent study on groundwater–rock interaction, technogenic metasomatism, and carbonate–water equilibria, based largely on PHREEQC thermodynamic modelling and geospatial data.

    I’m grateful to everyone who took an interest, skimmed, downloaded, or shared it.
    Your attention gives this work a life I didn’t imagine it would ever have.

    ❗ And one more thing: in the monograph’s preamble I explicitly thank the developers of free and open-source software. Without their tools — R, PHREEQC, QGIS, LaTeX, Linux, JabRef and many others — this research would simply not have been possible.

    #Hydrogeochemistry #Geochemistry #Groundwater #PHREEQC #FOSS #OpenScience #RStats #QGIS #Zenodo #EnvironmentalScience #Carbonates #Metasomatism #GeoData #WaterPollution

  39. 🎉 A small milestone for my hydrogeochemistry monograph about #SvystunovaGully

    Today, my Zenodo record passed 1,500 downloads across both released versions — something I never expected when I began this project as a personal, curiosity-driven exploration.

    It’s an independent study on groundwater–rock interaction, technogenic metasomatism, and carbonate–water equilibria, based largely on PHREEQC thermodynamic modelling and geospatial data.

    I’m grateful to everyone who took an interest, skimmed, downloaded, or shared it.
    Your attention gives this work a life I didn’t imagine it would ever have.

    ❗ And one more thing: in the monograph’s preamble I explicitly thank the developers of free and open-source software. Without their tools — R, PHREEQC, QGIS, LaTeX, Linux, JabRef and many others — this research would simply not have been possible.

    #Hydrogeochemistry #Geochemistry #Groundwater #PHREEQC #FOSS #OpenScience #RStats #QGIS #Zenodo #EnvironmentalScience #Carbonates #Metasomatism #GeoData #WaterPollution

  40. 💧 Aggressive groundwater and the long memory of contamination

    Even after more than a decade of monitoring, the groundwater in this carbonate aquifer remains undersaturated with respect to calcite — consistently showing negative SI values across nearly all observation wells.

    This means that the system is still chemically aggressive toward limestone, slowly dissolving the host rock.
    The impoundment, operating since 1976, continues to influence the aquifer — with the geometry of possible subsurface voids still uncertain to this day.

    📘 All supporting data and modeling results are included in the draft monograph:
    🔗 zenodo.org/records/16741148

    🧪 Data & visualization: PHREEQC + R + QGIS

    #Hydrogeochemistry #Geochemistry #MineWater #Groundwater #PHREEQC #EnvironmentalGeoscience #IndependentResearch #OpenScience #QGIS #RStats #Aquifer #Zenodo #SvystunovaGully #GroundwaterContamination #FOSS

  41. Hi, my name is Lucy, and I recently completed my master's degree in #geosciences at #tugraz and will soon start my PhD. My previous project was a one-year investigation of lake #waterchemistry and chalk deposition at the #Weissensee freshwater lake in Carinthia (#Austria). I am interested in water and #elementalcycles, #mineralformation, #oceanography and the effects of #climatechange.

    #Introduction #womeninSTEM #scicomm #Hydrogeochemistry #geology