White paper 07 · Annex A
Methods, assumptions and conventions
This annex explains how the evidence in this paper was assembled. It describes how distances, climate statistics and planning estimates were derived, and which assumptions were made, with their ranges. It also sets out the conventions used for status labels, units and language.
In this chapter (7)
A.1 Scope and approach
This paper is a desk study prepared in September and October 2026. It draws on four kinds of evidence:
- Primary legal texts. Cameroonian laws, decrees and orders were read in their published versions, mainly through the FAO’s FAOLEX database and ministry websites. International standards were read in the issuing bodies’ own publications.
- Published science and official data. These include hydrological monographs, peer-reviewed studies of the Kribi coast, the national Demographic and Health Survey, protected-area decrees and the UNESCO Tentative List.
- Reanalysis and open geodata. Modelled climate, wind and air quality data come from ERA5 and CAMS. Settlements, watercourses, coastline and protected-area outlines come from OpenStreetMap, and country outlines from Natural Earth.
- The public record and Cameroon Steel’s planning basis. These are press reports of the project’s public milestones, and the company’s planning model of 10 October 2026 for planned capacities and benchmark-based estimates.
No field survey has yet been carried out for the steel site area. All site-specific predictions are deferred to the environmental and social impact assessment (Chapter 11). Secondary sources such as press articles are used only where no primary source was available, and are identified as such in Annex C. Where sources conflict, the paper states the range, the source preferred and the reason.
A.2 Distances and maps
Distances to receptors were measured from public geodata to the centre of a generalised indicative area within the Mboro sector of the industrial-port zone (9.90° E, 2.72° N, the centre of the indicative area shown on Cameroon Steel’s public website). They were not measured to a surveyed site boundary. The geodata are OpenStreetMap features queried through the Overpass API on 10 October 2026 (extract base 24 July 2026), and the boundary points published in the marine park’s creation decree [E11][B01]. Up to 10 km, each distance is given as a whole-kilometre band (for example 3 to 4 km); beyond 10 km it is rounded to the nearest kilometre. Every receptor distance quoted in the paper comes from Annex D, Table D.1. OpenStreetMap is crowd-sourced. It is incomplete for small streams and buildings, and its protected-area outlines can differ from the legal boundaries. The assessment will replace these distances with surveyed values and with boundaries checked against the World Database on Protected Areas and the decrees.
The regional map (Figure 1.1) shows the steel complex as a hatched circle 1.5 km in radius around the centre of the indicative area, the same indicative area as on Cameroon Steel’s public website. The circle is a generalised marker of the indicative location, not the site boundary. Satellite surface models give elevations of roughly 50 to 120 m across the wider area; allowing for the tree canopy they include, we estimate the ground at about 40 to 100 m above sea level (rounded; to be confirmed by survey) [E17].
A.3 Climate and air quality data
Rainfall statistics come from the homogenised Kribi station record for 1937 to 1976, as published by Olivry [E01]. This record includes the monthly means and the Pearson III fit of one-day extremes over 33 years. WMO climate normals for 1981 to 2010 [E09] and the ERA5 reanalysis [E04] were used as cross-checks. Reanalysis was not used for extremes, because it underestimates point rainfall maxima. Wind frequencies come from hourly ERA5 data for 2011 to 2020 [E04], cross-checked against the port authority’s observations [E07]. Background air quality comes from the CAMS global reanalysis for 2024 to 2025 [E05]. All reanalysis values are labelled "modelled". They are used to frame the questions and the objectives, never as substitutes for measurement.
A.4 Planning estimates for the steel complex
Planned capacities, water demand, residues, electricity use, greenhouse gas emissions and traffic come from Cameroon Steel’s planning model, edition of 10 October 2026 [X03]. The model multiplies planned capacities by benchmark intensities from the IFC EHS Guidelines, worldsteel and standard industry practice. The capacities are 0.3 Mtpa of finished products in Phase 1, 0.5 Mtpa after Phase 2 and 1.0 Mtpa at full design. Its outputs are indicative planning values. They are not engineering design values or measurements, and they will be replaced by the design basis in the assessment. Table A.1 lists the main assumptions and their ranges.
Table A.1 Main assumptions of the planning model, with ranges
| Parameter | Planning value | Range | Status | Basis |
|---|---|---|---|---|
| EAF electricity | 450 kWh/t liquid steel (RC-1 planning value, within the IFC range); about 490 with 30% DRI/HBI (upper planning value) | 347 to 500 | Planned | IFC EHS Guidelines: 1,250 to 1,800 MJ/t [G03] |
| Rolling electricity | 110 kWh per tonne of product | 70 to 140 | Sourced | IFC EHS Guidelines [G03] |
| Induction billet heating (Phase 1) | 300 kWh per tonne of billet, applied to the tonnage rolled | 150 to 400 | Assumed | Electric heating, partly hot-charged |
| Auxiliary electricity | 70 kWh per tonne of liquid steel | 50 to 100 | Assumed | Ladle furnace, caster, oxygen, water, compressed air |
| Gas-fired reheating (Phases 2 and 3) | 1.3 GJ per tonne of product | 1.1 to 1.6 | Assumed | Walking-beam furnaces |
| Fresh-water make-up | 2.0 m³ per tonne of product | 1.5 to 3.0 | Assumed | Closed-loop design; worldsteel average consumption 2.3 m³/t [T01] |
| EAF slag | 140 kg per tonne of liquid steel | 110 to 180 | Derived | IFC: 110 to 180 kg of solid waste per tonne of EAF steel [G03], taken as mostly slag |
| EAF dust | 15 kg per tonne of liquid steel | 10 to 20 | Assumed | Planning range [X03]; the European reference document for iron and steel reports 10 to 30 kg [G17] |
| Mill scale | 20 kg per tonne of product | 15 to 25 | Assumed | Rolling practice |
| Metallic yield | 0.88 t liquid steel per t metallic charge | 0.85 to 0.91 | Assumed | Scrap and DRI mix |
| Casting and rolling yield | 0.94 t product per t liquid steel | 0.92 to 0.96 | Assumed | Caster and mill combined |
| Imported DRI/HBI share of metallic charge | 30% | 20 to 50% | Assumed | Balance scrap, domestic and imported |
| Grid emission factor | 226 gCO₂ per kWh | 200 to 300 | Sourced | Cameroon 2024 average [T04]; kept as a conservative planning value |
| Direct (Scope 1) emissions of the melt shop | 0.10 tCO₂ per tonne of liquid steel | 0.06 to 0.15 | Assumed | Electrodes, charge carbon, lime, burners |
| Upstream emissions of imported DRI/HBI | 0.7 tCO₂ per tonne of DRI | 0.5 to 0.9 | Assumed | Gas-based shaft furnace |
| Natural gas emission factor | 0.0561 tCO₂ per GJ | Not applicable | Sourced | IPCC 2006 default |
| Truck payload and operating days | 30 t per load; 300 days a year | Not applicable | Assumed | All road transport before any rail siding |
Source: Cameroon Steel planning model, edition of 10 October 2026 [X03], with benchmark sources as cited.
Derived values in the text are calculated from these assumptions. They are:
- Scope 1 and 2 emissions of about 97,000, 163,000 and 328,000 tCO₂e a year by phase;
- residues of about 55,000, 92,000 and 185,000 t a year;
- fresh water of about 0.6, 1.0 and 2.0 million m³ a year;
- about 74, 123 and 245 truck loads a day.
They are rounded, and their uncertainty follows from the ranges above. For example, using the full range of slag intensity changes the full-capacity slag estimate from about 117,000 to about 191,000 t a year. Water shares of river low flow divide the average daily make-up, on a 365-day basis, by the median low flow of the Lobé (8.35 m³/s) or the 10-year low flow of the Kienké (4.68 m³/s) [E01].
A.5 Critical habitat screening
The screening in Figure 7.1 is qualitative. For each feature it rates each IFC criterion as unlikely, possible, candidate or likely. The rating reflects whether species or ecosystems meeting that criterion are known or expected to occur in the feature, according to the desk sources [G02][B08][B06]. It is not a critical habitat assessment. Such an assessment requires survey data, an IBAT screening and the definition of an ecologically appropriate area of analysis for each feature, and these are listed in Chapter 11.
A.6 Status labels
Every figure carries a status label, and every planning value in the text is identified as planned or indicative.
- Sourced: published data used as published, from the source cited.
- Derived: calculated by Cameroon Steel from sourced inputs, with the method stated.
- Assumed: a planning assumption or indicative sequence, with its range where relevant.
- Illustrative: a diagram or a generated visualisation. Generated images are not photographs of the project or its site.
A.7 Conventions
Units follow the International System, with tonnes (t), million tonnes per annum (Mtpa) and normal cubic metres (Nm³) at 273 K and 101.3 kPa, dry. Currency amounts are in CFA francs (FCFA), pegged at 655.957 FCFA to the euro. Dates are given in full. The paper uses British English. Legal instruments are cited by their French titles, with English explanations on first use. Documents published by the Port Autonome de Kribi are cited by title and date, without web links.
Sources cited in this chapter
Bracketed markers refer to these sources; the full list is in the annex. Full list of sources
- E11OpenStreetMap data, Overpass API extract for the Kribi area (coastline, watercourses, roads, settlements, landuse, protected areas). OpenStreetMap contributors (ODbL), Base 24 Jul 2026; queried 10 Oct 2026.openstreetmap.org
- B01Décret n° 2021/4804/PM portant création du Parc National Marin Manyange na Elombo-Campo. Prime Minister (FAOLEX copy), 9 Jul 2021.faolex.fao.org/docs/pdf/cmr220623.pdf
- E17SRTM 30 m digital surface model, accessed through the OpenTopoData API. NASA; OpenTopoData.opentopodata.org/datasets/srtm/
- E01Monographie du Nyong et des fleuves côtiers, tome 1 (J.-C. Olivry). ORSTOM (now IRD), Jul 1979.horizon.documentation.ird.fr/exl-doc/pleins_textes/divers11-03/01948.p…
- E09World Weather Information Service: Kribi, climatological information (rainfall 1981 to 2010; data from the Direction de la Météorologie Nationale). World Meteorological Organization.worldweather.wmo.int/en/city.html?cityId=1517
- E04ERA5 hourly reanalysis (precipitation, wind, temperature), accessed through the Open-Meteo historical weather API. ECMWF; Open-Meteo.open-meteo.com/en/docs/historical-weather-api
- E07Guide du Port de Kribi. Port Autonome de Kribi, Aug 2020.Cited by title and date
- E05CAMS global atmospheric composition reanalysis (PM10, PM2.5, NO2, SO2, O3, dust), accessed through the Open-Meteo air quality API. Copernicus Atmosphere Monitoring Service; Open-Meteo.open-meteo.com/en/docs/air-quality-api
- X03Cameroon Steel reference configuration RC-1 (planning estimate): planned capacities, phases, indicative schedule and benchmark-based estimates, edition of 10 October 2026. Cameroon Steel, 10 Oct 2026.Cited by title and date
- G03Environmental, Health, and Safety Guidelines for Integrated Steel Mills. IFC / World Bank Group, 30 Apr 2007.ifc.org/content/dam/ifc/doc/2000/2007-integrated-steel-mills-ehs-guide…
- T01Sustainability Indicators Report 2025 (2024 data). World Steel Association (worldsteel), Nov 2025 (updated Feb 2026).worldsteel.org/wider-sustainability/sustainability-indicators/
- G17Best Available Techniques Reference Document for Iron and Steel Production (EUR 25521). European Commission, Joint Research Centre, 2013.bureau-industrial-transformation.jrc.ec.europa.eu/sites/default/files/…
- T04Carbon intensity of electricity generation (Ember data), Cameroon. Our World in Data.ourworldindata.org/grapher/carbon-intensity-electricity
- G02Guidance Note 6: Biodiversity Conservation and Sustainable Management of Living Natural Resources (updated). International Finance Corporation, 27 Jun 2019.ifc.org/en/insights-reports/2012/ifc-performance-standards
- B08Campo Ma’an National Park, Tropical Important Plant Areas factsheet CMNTIPA025 (B. Murphy and J. M. Onana). Royal Botanic Gardens, Kew.tipas.kew.org/site/campo-maan-national-park/
- B06Beach patrols for marine turtle nesting stock estimation in the Atlantic coastline of Ebodje, Cameroon (A. H. Nibam). Rufford Foundation, 2018.rufford.org/projects/abi-henry-nibam/beach-patrols-for-marine-turtle-n…
Cite this chapter
Cameroon Steel (2026). Building responsibly in Kribi: a steelworks can meet international standards on four conditions. White paper 07, annex A: Methods, assumptions and conventions. CS-WP-07. https://www.cameroon-steel.com/en/library/responsible-kribi/annex-method/
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