#svystunovagully — Public Fediverse posts

❗Update on Plagiarism and Falsification in Scientific Publications

Today, I officially submitted requests for the retraction of articles to the editorial boards of the journals "Land Reclamation and Water Management" and "Bulletin of NUWM".

❗Key facts of misconduct:
🔹 Plagiarism: Unauthorized use of my original relief map (2015) without citation.
🔹 Falsification: Intentional removal (retouching) of the author’s stamp with coordinates and date-time on site photographs.
🔹 Duplication: Publication of identical material in 2021 and 2024.

Next steps:
In the event of attempts to covertly remove the articles without an official retraction notice, relevant complaints will be forwarded directly to @crossref and the international members of the editorial boards.

#OpenScience #ResearchMisconduct #AcademicMastodon #ScientificIntegrity #Hydrology #Geoscience #GIS #FediScience #Plagiarism #SvystunovaGully #COPE #Crossref #DataIntegrity #ImageManipulation #AcademicChatter #ResearchEthics #EarthScience #HigherEducation

❗Update on Plagiarism and Falsification in Scientific Publications

Today, I officially submitted requests for the retraction of articles to the editorial boards of the journals "Land Reclamation and Water Management" and "Bulletin of NUWM".

❗Key facts of misconduct:
🔹 Plagiarism: Unauthorized use of my original relief map (2015) without citation.
🔹 Falsification: Intentional removal (retouching) of the author’s stamp with coordinates and date-time on site photographs.
🔹 Duplication: Publication of identical material in 2021 and 2024.

Next steps:
In the event of attempts to covertly remove the articles without an official retraction notice, relevant complaints will be forwarded directly to @crossref and the international members of the editorial boards.

#OpenScience #ResearchMisconduct #AcademicMastodon #ScientificIntegrity #Hydrology #Geoscience #GIS #FediScience #Plagiarism #SvystunovaGully #COPE #Crossref #DataIntegrity #ImageManipulation #AcademicChatter #ResearchEthics #EarthScience #HigherEducation

❗Update on Plagiarism and Falsification in Scientific Publications

Today, I officially submitted requests for the retraction of articles to the editorial boards of the journals "Land Reclamation and Water Management" and "Bulletin of NUWM".

❗Key facts of misconduct:
🔹 Plagiarism: Unauthorized use of my original relief map (2015) without citation.
🔹 Falsification: Intentional removal (retouching) of the author’s stamp with coordinates and date-time on site photographs.
🔹 Duplication: Publication of identical material in 2021 and 2024.

Next steps:
In the event of attempts to covertly remove the articles without an official retraction notice, relevant complaints will be forwarded directly to @crossref and the international members of the editorial boards.

#OpenScience #ResearchMisconduct #AcademicMastodon #ScientificIntegrity #Hydrology #Geoscience #GIS #FediScience #Plagiarism #SvystunovaGully #COPE #Crossref #DataIntegrity #ImageManipulation #AcademicChatter #ResearchEthics #EarthScience #HigherEducation

❗Update on Plagiarism and Falsification in Scientific Publications

Today, I officially submitted requests for the retraction of articles to the editorial boards of the journals "Land Reclamation and Water Management" and "Bulletin of NUWM".

❗Key facts of misconduct:
🔹 Plagiarism: Unauthorized use of my original relief map (2015) without citation.
🔹 Falsification: Intentional removal (retouching) of the author’s stamp with coordinates and date-time on site photographs.
🔹 Duplication: Publication of identical material in 2021 and 2024.

Next steps:
In the event of attempts to covertly remove the articles without an official retraction notice, relevant complaints will be forwarded directly to @crossref and the international members of the editorial boards.

#OpenScience #ResearchMisconduct #AcademicMastodon #ScientificIntegrity #Hydrology #Geoscience #GIS #FediScience #Plagiarism #SvystunovaGully #COPE #Crossref #DataIntegrity #ImageManipulation #AcademicChatter #ResearchEthics #EarthScience #HigherEducation

❗ While preparing a literature review for my monograph on the hydrogeochemical impact of mine waters, I discovered the unauthorized use of my original materials in articles published in 2021 and 2024. Both publications were prepared with the primary involvement of staff from the Institute of Water Problems and Land Reclamation of the National Academy of Agricultural Sciences of Ukraine (IWPLR NAASU).

An analysis revealed facts that go beyond a simple copyright violation:
🔹 Data Falsification: Original photo metadata (date, time, GPS) was intentionally retouched to conceal their 2015 origin and authorship.
🔹 Methodological Anachronism: Using 2015 data for 2024 modeling renders results invalid by ignoring the major infrastructure overhaul launched in early 2025.
🔹 Institutional Failure: This misconduct by state academy staff signals a systemic collapse of research quality control and ethical oversight within the institutions.

#ScientificMisconduct #SvystunovaGully #ResearchEthics #DataIntegrity #Plagiarism

A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
https://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:
https://zenodo.org/records/16741148

Engineering humor is allowed - even in hydrogeochemistry 😁

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

A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
https://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:
https://zenodo.org/records/16741148

Engineering humor is allowed - even in hydrogeochemistry 😁

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

A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
https://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:
https://zenodo.org/records/16741148

Engineering humor is allowed - even in hydrogeochemistry 😁

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

A slightly tongue-in-cheek AI animation of a conceptual model showing leakage of highly mineralized mine waters into a carbonate aquifer:
https://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:
https://zenodo.org/records/16741148

Engineering humor is allowed - even in hydrogeochemistry 😁

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

How reliable are dilution estimates in contaminated aquifers?

In my current monograph, I validated the dilution coefficient using two fully independent approaches:
- chloride concentrations as a conservative tracer
- solution density calculated in PHREEQC (Laliberté–Cooper model)

I then performed a robust statistical comparison of both dilution estimates (n ≈ 2000).
The result: no statistically significant difference between the two methods (Mann–Whitney test), with very close median values and negligible effect size.

❗What does this mean in practice?
It confirms that density-based calculations — often ignored in groundwater contamination studies — provide robust, independent validation of classical tracer-based approaches.
This is especially important for highly mineralized mine waters, where density-driven processes (e.g. buoyancy effects, Rayleigh–Taylor instability) can critically affect plume behavior.

#Groundwater #Geochemistry #PHREEQC #MineWater #Hydrogeology #RStats #SvystunovaGully

How reliable are dilution estimates in contaminated aquifers?

In my current monograph, I validated the dilution coefficient using two fully independent approaches:
- chloride concentrations as a conservative tracer
- solution density calculated in PHREEQC (Laliberté–Cooper model)

I then performed a robust statistical comparison of both dilution estimates (n ≈ 2000).
The result: no statistically significant difference between the two methods (Mann–Whitney test), with very close median values and negligible effect size.

❗What does this mean in practice?
It confirms that density-based calculations — often ignored in groundwater contamination studies — provide robust, independent validation of classical tracer-based approaches.
This is especially important for highly mineralized mine waters, where density-driven processes (e.g. buoyancy effects, Rayleigh–Taylor instability) can critically affect plume behavior.

#Groundwater #Geochemistry #PHREEQC #MineWater #Hydrogeology #RStats #SvystunovaGully

How reliable are dilution estimates in contaminated aquifers?

In my current monograph, I validated the dilution coefficient using two fully independent approaches:
- chloride concentrations as a conservative tracer
- solution density calculated in PHREEQC (Laliberté–Cooper model)

I then performed a robust statistical comparison of both dilution estimates (n ≈ 2000).
The result: no statistically significant difference between the two methods (Mann–Whitney test), with very close median values and negligible effect size.

❗What does this mean in practice?
It confirms that density-based calculations — often ignored in groundwater contamination studies — provide robust, independent validation of classical tracer-based approaches.
This is especially important for highly mineralized mine waters, where density-driven processes (e.g. buoyancy effects, Rayleigh–Taylor instability) can critically affect plume behavior.

#Groundwater #Geochemistry #PHREEQC #MineWater #Hydrogeology #RStats #SvystunovaGully

How reliable are dilution estimates in contaminated aquifers?

In my current monograph, I validated the dilution coefficient using two fully independent approaches:
- chloride concentrations as a conservative tracer
- solution density calculated in PHREEQC (Laliberté–Cooper model)

I then performed a robust statistical comparison of both dilution estimates (n ≈ 2000).
The result: no statistically significant difference between the two methods (Mann–Whitney test), with very close median values and negligible effect size.

❗What does this mean in practice?
It confirms that density-based calculations — often ignored in groundwater contamination studies — provide robust, independent validation of classical tracer-based approaches.
This is especially important for highly mineralized mine waters, where density-driven processes (e.g. buoyancy effects, Rayleigh–Taylor instability) can critically affect plume behavior.

#Groundwater #Geochemistry #PHREEQC #MineWater #Hydrogeology #RStats #SvystunovaGully

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

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

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

Based on the metasomatic (thermodynamic) zonation of the groundwater contamination plume identified in my study, I prepared a schematic impact map.

Unlike conventional chloride concentration isolines (which are often weakly informative), this approach reflects the thermodynamic state of the aquifer. The map clearly shows that the aggressive corrosion-by-mixing zone (Subzone III) occupies a large area and, in several places, extends beyond the existing monitoring well network.

This indicates that the current monitoring system is insufficient to delineate the full zone of influence of the mine water impoundment.

The criteria for defining metasomatic subzones and the associated risks are described in detail in the current published version of my monograph:
https://zenodo.org/records/16741148

#PHREEQC #RStats #QGIS #Geochemistry #Groundwater #Contamination #Hydrogeology #EnvironmentalGeochemistry #SvystunovaGully

Based on the metasomatic (thermodynamic) zonation of the groundwater contamination plume identified in my study, I prepared a schematic impact map.

Unlike conventional chloride concentration isolines (which are often weakly informative), this approach reflects the thermodynamic state of the aquifer. The map clearly shows that the aggressive corrosion-by-mixing zone (Subzone III) occupies a large area and, in several places, extends beyond the existing monitoring well network.

This indicates that the current monitoring system is insufficient to delineate the full zone of influence of the mine water impoundment.

The criteria for defining metasomatic subzones and the associated risks are described in detail in the current published version of my monograph:
https://zenodo.org/records/16741148

#PHREEQC #RStats #QGIS #Geochemistry #Groundwater #Contamination #Hydrogeology #EnvironmentalGeochemistry #SvystunovaGully

Based on the metasomatic (thermodynamic) zonation of the groundwater contamination plume identified in my study, I prepared a schematic impact map.

Unlike conventional chloride concentration isolines (which are often weakly informative), this approach reflects the thermodynamic state of the aquifer. The map clearly shows that the aggressive corrosion-by-mixing zone (Subzone III) occupies a large area and, in several places, extends beyond the existing monitoring well network.

This indicates that the current monitoring system is insufficient to delineate the full zone of influence of the mine water impoundment.

The criteria for defining metasomatic subzones and the associated risks are described in detail in the current published version of my monograph:
https://zenodo.org/records/16741148

#PHREEQC #RStats #QGIS #Geochemistry #Groundwater #Contamination #Hydrogeology #EnvironmentalGeochemistry #SvystunovaGully

Based on the metasomatic (thermodynamic) zonation of the groundwater contamination plume identified in my study, I prepared a schematic impact map.

Unlike conventional chloride concentration isolines (which are often weakly informative), this approach reflects the thermodynamic state of the aquifer. The map clearly shows that the aggressive corrosion-by-mixing zone (Subzone III) occupies a large area and, in several places, extends beyond the existing monitoring well network.

This indicates that the current monitoring system is insufficient to delineate the full zone of influence of the mine water impoundment.

The criteria for defining metasomatic subzones and the associated risks are described in detail in the current published version of my monograph:
https://zenodo.org/records/16741148

#PHREEQC #RStats #QGIS #Geochemistry #Groundwater #Contamination #Hydrogeology #EnvironmentalGeochemistry #SvystunovaGully

Based on the metasomatic (thermodynamic) zonation of the groundwater contamination plume identified in my study, I prepared a schematic impact map.

Unlike conventional chloride concentration isolines (which are often weakly informative), this approach reflects the thermodynamic state of the aquifer. The map clearly shows that the aggressive corrosion-by-mixing zone (Subzone III) occupies a large area and, in several places, extends beyond the existing monitoring well network.

This indicates that the current monitoring system is insufficient to delineate the full zone of influence of the mine water impoundment.

The criteria for defining metasomatic subzones and the associated risks are described in detail in the current published version of my monograph:
https://zenodo.org/records/16741148

#PHREEQC #RStats #QGIS #Geochemistry #Groundwater #Contamination #Hydrogeology #EnvironmentalGeochemistry #SvystunovaGully

#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: https://zenodo.org/records/18142106

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

#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: https://zenodo.org/records/18142106

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

#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: https://zenodo.org/records/18142106

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

#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: https://zenodo.org/records/18142106

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

#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: https://zenodo.org/records/18142106

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

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

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

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

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

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

🧪 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

🧪 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

🧪 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

🧪 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

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

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

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

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

🧪 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

🧪 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

🧪 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

🧪 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

🧪 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

#SvystunovaGully
888 downloads!
Looks like I’ve created something that people actually find interesting.

But here’s the real question: with a daily rate of 30–40 downloads... what are the odds of catching such a perfectly round number by accident? 🤣

(Maybe the Universe has a soft spot for hydrogeochemistry!) 😁

#OpenScience #Zenodo #Geochemistry #Hydrogeology #MineWater #DataScience #ResearchLife #ScienceHumor #Groundwater #EnvironmentalScience #Contamination #PHREEQC #RStats #LaTeX #QGIS #FOSS #WaterPollution

#SvystunovaGully
888 downloads!
Looks like I’ve created something that people actually find interesting.

But here’s the real question: with a daily rate of 30–40 downloads... what are the odds of catching such a perfectly round number by accident? 🤣

(Maybe the Universe has a soft spot for hydrogeochemistry!) 😁

#OpenScience #Zenodo #Geochemistry #Hydrogeology #MineWater #DataScience #ResearchLife #ScienceHumor #Groundwater #EnvironmentalScience #Contamination #PHREEQC #RStats #LaTeX #QGIS #FOSS #WaterPollution

#SvystunovaGully
888 downloads!
Looks like I’ve created something that people actually find interesting.

But here’s the real question: with a daily rate of 30–40 downloads... what are the odds of catching such a perfectly round number by accident? 🤣

(Maybe the Universe has a soft spot for hydrogeochemistry!) 😁

#OpenScience #Zenodo #Geochemistry #Hydrogeology #MineWater #DataScience #ResearchLife #ScienceHumor #Groundwater #EnvironmentalScience #Contamination #PHREEQC #RStats #LaTeX #QGIS #FOSS #WaterPollution

#SvystunovaGully
888 downloads!
Looks like I’ve created something that people actually find interesting.

But here’s the real question: with a daily rate of 30–40 downloads... what are the odds of catching such a perfectly round number by accident? 🤣

(Maybe the Universe has a soft spot for hydrogeochemistry!) 😁

#OpenScience #Zenodo #Geochemistry #Hydrogeology #MineWater #DataScience #ResearchLife #ScienceHumor #Groundwater #EnvironmentalScience #Contamination #PHREEQC #RStats #LaTeX #QGIS #FOSS #WaterPollution

🎉 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

🎉 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