Der neue Uranatlas 2026 ist erschienen:
64 Seiten, Daten und Fakten über den Rohstoff des Atomzeitalters.
#Abraumhalden
#AtomareAufruestung
#Atomausstieg
#Atombomben
#Atomkraft
#Atommuell
#Atomsprengkoepfe
#Atomtests
#Atomtests
#Atomwaffen
#Brennelementeherstellung
#DepleatedUranium
#Endlager
#ErneuerbareEnergien
#InSituLeaching
#Kernenergie
#Kernspaltung
#Reaktorkatastrophen
#Reaktortypen
#SmallModularReaktoren
#Tailings
#UranAbhaengigkeiten
#Urananreicherung
#Uranbergbau
#Uranmunition
#Uranproduktion
#Uranwirtschaft
#Wiederaufbereitung
#Yellowcake

Herausgegeben von: Nuclear Free Future Foundation (NFFF), Bund für Umwelt und Naturschutz Deutschland (BUND), Rosa-Luxemburg-Stiftung, Umweltstiftung Greenpeace und .ausgestrahlt.

Download z. B. unter: https://www.bund.net/service/publikationen/detail/publication/uranatlas-2026/

🧪 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

In the distant 2016, when I was a member of an environmental NGO in Kryvyi Rih (Ukraine), I started using satellite Earth Observation data to monitor the condition of large industrial tailings ponds.

At that time, environmental regulations required these storage facilities to be either flooded or at least kept moist to prevent dust storms.
Industrial operators often ignored these rules, leaving huge dry surfaces exposed — which created massive dust pollution affecting nearby communities.

Using Sentinel-2 and Landsat-8 imagery with false-color composites, I developed a simple but effective method to map dry, moist, and water-covered zones of tailings ponds.

Local residents and journalists were absolutely delighted! Industrial companies, on the other hand… reacted very differently 🤣

These maps are from 2016–2017 and show several tailings facilities around #KryvyiRih.

#RemoteSensing #EarthObservation #Sentinel2 #OpenData #EnvironmentalMonitoring
#Tailings #Mining #DustPollution #GIS #QGIS #Ukraine #Landsat