#inhuletsriver — Public Fediverse posts

☝️ What happens when you treat terrain morphometry like satellite bands?

⚙️ An experimental RGB composite of an industrial micro-catchment in Kryvyi Rih, synthesized directly from DEM hydro-conditioned derivatives:
🔹 Red: Channel Network Distance (hydraulic connectivity)
🔹 Green: Total Catchment Area / Flow Accumulation (upscale contributing mass)
🔹 Blue: LS-Factor / Slope Length-Steepness (RUSLE physical erosion capacity).

⚙️ The color mixing immediately separates the basin into physical domains:
🔹 Bright magenta/neon ribbons: Critical erosion and transport vectors where steep slope length converges with active channel flow.
🔹 Vibrant green zones: Planar accumulation sectors and potential geochemical sedimentation traps.
🔹 Dark interfluves: Geomorphologically stable plateau surfaces.

#Geomorphometry #Hydrology #SpatialData #RStats #SAGAGIS #TerrainAnalysis #DEM #EnvironmentalGeology #GIS #DataVisualization #InhuletsRiver #GeoDataArt

🧪 Aquatic zinc speciation modeling across the Inhulets River (September 2025) highlights why total metal concentrations fail to reflect true ecotoxicity:

☝️ Key Hydrogeochemical Trends:
🔹 Free aqua-ion (Zn²⁺): Dominates at most stations (57–64%). This fraction is the most bioavailable and drives aquatic toxicity.
🔹 Carbonate complex (ZnCO₃⁰): Secondary background form (18–24%), facilitating conservative transit migration.
🔹 Sulfate complex (ZnSO₄⁰): Consistently 6–11% due to elevated background sulfate mineralization.
🔹 Shift at Sample Point 6_1 (pH 8.66): Alkaline buffering radically alters speciation—free Zn²⁺ drops to 32%, while ZnCO₃⁰ becomes dominant (49%) alongside rising ZnOH⁺ (8%).

Methodology:
⚙️ Speciation: PHREEQC (Thermoddem database)
⚙️ Pipeline & Dataviz: R (tidyverse, ggplot2)
⚙️ Minor species (<0.5%) aggregated into "Other" (Інші форми).

#Hydrogeochemistry #PHREEQC #RStats #WaterQuality #EnvironmentalDataScience #InhuletsRiver #KryvyiRih #Geochemistry #OpenScience #Mining #IronOreMining

Catchment Areas of Mine Subsidence and Collapse Zones in Kryvbas

The highlighted polygons delineate localized surface runoff catchments where precipitation directly infiltrates into underground mine workings and dewatering systems via collapse sinkholes and heavily fractured rock mass—completely bypassing the natural river network.

The spatial modeling is based on the Copernicus DEM (GLO-30), applying true-sink preservation workflows (True Sinks / Internal Drainage Modeling).
🛠️ Stack: R (terra), SAGA GIS, QGIS.

#GIS #Hydrology #HydroEnforcement #FOSSGIS #Mining #Geospatial #KryvyiRih #Copernicus #OpenData #DigitalElevationModel #RStats #InhuletsRiver

⚠️ Why standard GIS routing (D8, Sink Fill) fails in complex mining regions: 300m open pits become fake "lakes", and underground river tunnels are completely ignored.

To map surface drainage across central Kryvyi Rih, I built a custom DEM hydro-conditioning pipeline:
🔹 Selective sink filtering (true pits vs DEM noise)
🔹 Subsurface conduit burn-in (diversion tunnels)
🔹 Closed micro-catchment delineation

Crucial for geochemical transport & geotechnical risks.

🛠️ #RStats (#terra, #Rsagacmd), #QGIS, #SAGAGIS

#GIS #Hydrology #HydroEnforcement #FOSSGIS #Mining #Geospatial #KryvyiRih #DigitalTerrainAnalysis #InhuletsRiver #Ukraine

There are many ways to represent the spatial anisotropy of terrain forms.
In this case, I focused on a comparative approach: the real surface area of different geomorphon classes plotted against slope aspect.

All calculations were performed within the polygon of the effective catchment area of the Inhulets River.
This visualization highlights how specific landform types tend to “align” with certain aspect directions, revealing structural asymmetries within the catchment.

#Geospatial #Geomorphometry #TerrainAnalysis #RStats #DataViz #Hydrology #SAGA #EnvironmentalScience #GIS #RemoteSensing #InhuletsRiver #ggplot2 #Copernicus #CopernicusDEM #Geomorphology

I try to keep my results accessible even for readers who aren’t familiar with digital mapping or GIS.
One simple technique is to complement classification maps with clear charts and tables showing how much area each class occupies.
Here’s an example: the total surface area of geomorphon classes within the study region.

There’s also a small but important detail that often gets overlooked: the order of classes in the chart should match the order used in tables and map legends.
This tiny consistency makes it much easier for readers to orient themselves and follow the logic of the analysis.

#GIS #Geomorphometry #DataViz #OpenScience #RStats #terra #QGIS #InhuletsRiver #ggplot2 #SAGA #FOSS

🔎 Preliminary watershed delineation for the Inhulets River study

One of the early intermediate products from my broader research on the anthropogenic impacts on the #InhuletsRiver.
This map shows a preliminary delineation of local drainage basins across the study area, derived from high-resolution DEM processing and hydrological modelling.

The goal of this stage is to establish a consistent spatial framework for later analyses — including flow pathways, contaminant transport patterns, and the interaction between surface and groundwater systems.

#GIS #Hydrology #Watershed #Geomorphology #OpenData #RemoteSensing #Geospatial #RStats #SAGA #QGIS #EnvironmentalScience #LandscapeGeochemistry #Copernicus #DEM #GeoDataArt

📌 Thematic hashtags I use in my Mastodon posts

To help readers navigate the different topics I work on, I use several specialized hashtags.
Here is a short overview of each one:

#GreennessOfCalgary — my project on analyzing the vegetation patterns and green spaces of Calgary using remote sensing, classification, and cartography.

#ClimateOfCalgary — visualization and analysis of local meteorological data.

#SvystunovaGully — materials from my Independent long-term study of geochemical processes in groundwater around a high-mineralized mine-water impoundment in Svystunova Gully (https://doi.org/10.5281/zenodo.15528794).

#InhuletsRiver — posts related to the research project on the technogenic impact on the Inhulets River (Kryvyi Rih, Ukraine), in which I take part.

#GeoDataArt #GeoSpectralArt — beautiful images that emerge during the analysis of satellite data.

The list will expand as my projects evolve.

After several weeks of thinking and DEM preprocessing, I finally generated a complete geomorphons map for the part of Inhulets River basin (Ukraine).
It was far from easy — the original Copernicus GLO-30 DEM required careful cleaning, correction, and multi-step preparation before meaningful terrain forms could emerge.

What makes geomorphons truly valuable for me is how well they correspond to geochemical landscape types — eluvial, transeluvial, superaquatic, and subaquatic zones.
This overlap allows interpreting geomorphons as functional terrains with distinct element migration patterns, bridging geomorphology and environmental geochemistry.

All computations were done using R + SAGA GIS + QGIS, with the excellent Rsagacmd package for seamless tool integration.

#Geomorphons #SAGAGIS #Rsagacmd #QGIS #Geochemistry #RStats #Geospatial #Hydrology #RemoteSensing #Copernicus #OpenData #GIScience #InhuletsRiver #EnvironmentalGeochemistry #FOSS

🌊 Hydrological patterns in the Inhulets River Basin

I’m working on a large-scale study of the technogenic impact on the Inhulets River system (Ukraine).
The workflow combines R + SAGA GIS + QGIS for geomorphometric and hydrological analysis.

Over the past week, I’ve been refining digital elevation models and tracing surface runoff connectivity — not an easy task in a region reshaped by century of mining.

The map below shows one of the calmest and most “well-behaved” areas, far from the mining zone.
As for the drainage network over the mining areas… let’s just say it’s geological chaos down there 😄

🛰️ Data: Copernicus DEM (GLO-30)
🧭 Tools: SAGA GIS (Terrain Analysis), R, QGIS

#Hydrology #Geomorphometry #SAGAGIS #QGIS #RStats #DEM #GIScience #EnvironmentalModeling #MiningImpact #Geodata #InhuletsRiver #Ukraine #KryvyiRih #Copernicus #CopernicusDem

“If the map does not match the terrain — trust the terrain!”
— Principle of field geoscience

This is how the effective catchment area of the Inhulets River looks within the study region.

The upstream part — above the Karachunivske Reservoir's dam, the outlet of the Saksahan derivative tunnel, and the confluence of the Stara Saksahan River — was excluded from the calculation.

Within the analyzed area, surface runoff is possible only from the highlighted zone.
The rest of the “catchment basin” is hydrologically inactive: runoff is intercepted by ponds, settling tanks, and other anthropogenic landforms.

🌍 The analysis was based on the Copernicus GLO-30 DEM, integrated with hydrological modeling and terrain processing in open-source GIS.

#Hydrology #Geochemistry #InhuletsRiver #GIS #SAGAGIS #QGIS #HydrologicalModeling #RemoteSensing #GeospatialAnalysis #EnvironmentalData #RStats #LandscapeGeochemistry #Copernicus