Soil erosion can remove productive land and carry loose material toward streams and drainage networks. This study used mapped environmental conditions to identify and compare 441 areas that deserve closer attention across Anambra State. It is a first step for planning where to investigate possible solutions—not a survey of proven damage or a final engineering plan.
441validated priority zones
163.67 km²mapped intervention area
21LGAs represented
99.46%official LGA coverage
Methods in brief
- Soil-loss screening: baseline and conservation-scenario RUSLE surfaces estimate relative sheet-and-rill detachment.
- Connectivity: terrain and drainage relationships identify where detached material is more likely to connect to the drainage system.
- Delivery priority: erosion and connectivity evidence are integrated into relative sediment-delivery screening products.
- Intervention portfolio: contiguous priority cells are organized into sectors and three tiers using a 10 ha minimum mapping unit.
- LGA attribution: zones are assigned by maximum spatial overlap, with documented near-tie, boundary-mismatch and nearest-proxy rules.
How to read the map and priorities
Red, orange and teal areas show the three relative screening-priority tiers; Tier 1 is the first group for further investigation, followed by Tiers 2 and 3. The blue lines represent mapped drainage pathways and dashed lines show LGA boundaries. Tier and sector values support comparisons, not measured sediment yield, guaranteed annual soil loss, documented gully damage or construction-ready footprints. The modelled conservation reduction is only an illustrative scenario; field visits, community consultation and engineering verification must precede any intervention.
Boundary and attribution QA
All 441 zones have a primary LGA and valid P-code. The portfolio includes 65 cross-LGA zones, four near-tie assignments and three nearest-LGA proxy assignments retained with lower confidence.
Data and tools
RUSLE factors, terrain connectivity, primary drainage, intervention zones and administrative boundaries were processed in ArcGIS Pro 3.5 with ArcPy/Python. The web presentation uses MapLibre GL JS and OpenFreeMap.
Author
Gabriel Bahago Samuel
GIS Analyst · MECON Services Ltd., Jos, Nigeria