#geochemistry

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📝 У роботі представлено термодинамічне обґрунтування технології двостадійного каскадного евтектичного виморожування (Eutectic Freeze Crystallization, EFC) для очищення та комплексної переробки розсолів зі ставка-накопичувача у балці Свистунова. ☝️ Доведено, що проведення процесу в дві стадії з міжстадійною сепарацією при -20,0°C формує температурний буфер у 2,5°C до початку осадження хлоридів і дозволяє селективно розділити сульфатну та хлоридну фракції. 🧪 Загальний вихід опрісненої води (льоду) становить 964,07 г на 1 кг вихідної H2O (96,4% рекуперації). При цьому об'єм первинного розчину скорочується у 62 рази. 🔗 www.doi.org/10.5281/zenodo.22821615 #Hydrogeology #Geochemistry #WaterManagement #PHREEQC #DataScience #EnvironmentalEngineering #Mining #SvystunovaGully #KryvyiRihBasin #EFC #EutecticFreezeCrystallization #FREZCHEM
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⚙️ My latest preprint presents a thermodynamic rationale for a two-stage cascade Eutectic Freeze Crystallization (EFC) process, developed for the treatment and resource recovery of hypersaline mine water from the Svystunova Gully impoundment (published in Ukrainian). ☝️ Key highlights: 🔹 Selective phase separation: Conducting the process in two stages with inter-stage solids separation at -20.0°C provides a 2.5°C operating buffer before chloride salts begin to precipitate, ensuring clean separation of sulfate and chloride fractions. 🔹 High water recovery: The total yield of desalinated water (as pure ice) reaches 964.07 g per 1 kg of initial H2O (96.4% recovery rate). 🔹 Effluent minimization: The initial wastewater volume is reduced 62-fold, concentrating the residual components into a compact, heavy bittern. 🔗 Full preprint: https://doi.org/10.5281/zenodo.22821616 #MineWater #WaterTreatment #Geochemistry #Thermodynamics #PHREEQC #EFC #Mining #CriticalRawMaterials #CircularEconomy #SvystunovaGully #KryvyiRihBasin #FREZCHEM
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🛠 What does an end-to-end open-source stack look like for an independent hydrogeochemical monograph? Doing full-cycle research—from thermodynamic calculations to print-ready LaTeX typesetting—requires a synchronized toolkit. Here is the exact stack: 🧪 Thermodynamics & Analytics: • #PHREEQC 3.7.3 for aqueous speciation&equilibrium modeling. • #Rstats Stack: RedModRphree, ggtern, sf/terra, tidyverse (ETL). 🗺 GIS & Literature Search: • #QGIS for spatial alignment & cartography. • #Recoll for local full-text search across reference databases. 📚 Typesetting & Reproducibility: • #LaTeX2e + #TeXStudio + #JabRef for typography & #BibTeX references. • xtable for automated R-to-LaTeX data exporting. • #Debian Linux as a main engine. 💡 Takeaway: Zero proprietary software licenses needed. Complete reproducibility from raw analytical data to a print-ready PDF. 🔗 The published version of monoghraph is here: https://zenodo.org/records/20709306 #Hydrogeology #Geochemistry #LaTeX #GIS #OpenScience #DataScience #SvystunovaGully
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🌎 Why 1960s Geoscience Classics Still Matter in Data Science Data without domain expertise is noise. It’s easy to get caught up in R or ML, but foundational science drives true insight. I'm revisiting N.M. Strakhov's masterpiece "Principles of Lithogenesis" (1960-62, translated 1967). Springer’s 2014 digital reprint (Google Books) proves its value. Over 60 years later, his systematic approach to sedimentary environments and geochemistry remains highly relevant. ❓ Why this matters for spatial analytics: 🔹 Ground-Truthing: You can't model watershed contamination, mine waters, or deposits via desktop sowtware alone if you ignore baseline lithological and geochemical laws. 🔹 Feature Engineering: The best domain features come from understanding physical processes—like how basins and geochemical barriers function. ❗ Tools change, but physical laws are timeless. Understanding both turns raw data into actionable insights. #Geology #Geochemistry #DataScience #SpatialAnalysis #Springer #GoogleBooks #Lithogenesis
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