Research libraryWater, Dye and Energy per Unit
Chapter 03 of 14 · Part I · Draft web edition
Volumetric accounting becomes decision-ready only when source, catchment, season, quality and discharge are attached to each litre.
The cloth is woven from this chapter's 5 exhibits: each weft is one exhibit's own data, normalised; each warp group is a section. The probe reads the exhibit's own value where it crosses. Procedural visualisation, not a measurement.
Read-out
Nested water-accounting boundaries structured from Chapagain et al. (S09), the Water Footprint Assessment Manual (S10) and ISO 14046:2014 (S11). Operational factory KPIs measure gate-to-gate physical flows, whereas supply-chain and ISO 14046 accounts evaluate multi-stage volumes and characterised environmental impacts.
Unit: . Status: sourced. Sources: S09, S10, S11.
Overture · 1 min
A factory water ratio in litres per accepted kilogram of fabric or per accepted garment is a necessary operational control, but volume alone cannot establish environmental safety or industrial supply security. Two textile mills that each withdraw an illustrative 100 litres of freshwater per accepted kilogram face fundamentally different engineering, financial and regulatory risks if one draws from a seasonally recharged river with tertiary effluent treatment while the other pumps a declining coastal aquifer and discharges untreated salt and reactive-dye residuals into an unmonitored urban drain.[S01][S14] For Green Future Tech Limited (GFT), Hong Kong SAR, and its three-part Cameroon textile programme prepared on 31 January 2024 with sources refreshed in 2026, water accounting must attach five attributes to every metered cubic metre: the hydrological category of the water, the assessment boundary of the metric, the local catchment and seasonal reliability of the intake, the chemical quality of the effluent, and the mass and energy balances of any reuse loop.[S06][S10][S11] Expanding domestic cotton processing in Cameroon from the inherited baseline of about 5 percent processed locally against 95 percent exported raw toward the national target of 50 percent by 2030 moves wet-processing water intake and discharge onto domestic catchments.[R06][R07] This chapter establishes the contextual rules required to govern those flows before capital is committed; it provides an engineering and management framework and does not constitute investment, legal or tax advice, nor does it replace a statutory environmental impact assessment or hydrogeological survey.
3.1
Published statements about the water demand of cotton textiles routinely mix agricultural soil moisture, irrigation withdrawals, factory process intakes and theoretical pollution-dilution volumes into a single headline figure. When those distinct physical and analytical quantities are collapsed into one number, plant engineers and investment sponsors cannot tell whether a proposed intervention saves piped municipal water in the dyehouse, reduces irrigation depletion on the farm, or lowers chemical oxygen demand at the outfall.[S09][S10] The first rule of GFT's water ledger is therefore taxonomic: every volumetric figure must carry a strict category label that defines both where the water originates and how it leaves the boundary under study.
In supply-chain water accounting, the Water Footprint Assessment Manual published for the Water Footprint Network defines the water footprint of a product as the total volume of freshwater used to produce that item measured across the entire supply chain.[S10] Applying that supply-chain methodology to global cotton consumption, Chapagain et al. demonstrated that cotton product impacts span the countries where cotton is grown and the locations where yarn, fabric and garments are processed, and separated the account into three non-interchangeable components: green water, blue water and dilution (or grey) water.[S09][S10] Green water designates rainwater stored in the soil root zone that is evapotranspired by the cotton crop during agricultural growth.[S09][S10] Blue water designates surface water or groundwater withdrawn for irrigation or industrial processing that is evaporated, incorporated into the product, or not returned to the same catchment within the same period.[S09][S10] Grey water (referred to as dilution water in earlier cotton studies) does not represent a physical volume pumped through a pipe; instead, it represents the theoretical volume of ambient freshwater required to assimilate a discharged pollutant load so that receiving water quality remains within agreed ambient standards.[S09][S10]
Treating green, blue and grey water as additive equivalents inside a factory dashboard distorts engineering decisions. In rain-fed cotton zones such as northern Cameroon, where SODECOTON supports more than 220,000 cotton producers and operates nine ginning plants and two oil mills according to the inherited evidence register, crop growth relies predominantly on seasonal green water in the soil profile rather than irrigated blue water.[R03][S09] Once baled lint enters a spinning, weaving, wet-processing or garment-washing facility, however, process demand shifts entirely to withdrawn blue water and generates concentrated liquid effluent that creates a downstream assimilation burden.[S01][S03] A literature review by VTT Technical Research Centre of Finland estimates that textile wet processes consume approximately 60 to 90 percent of the total water used within textile manufacturing facilities, making preparation, dyeing, rinsing and finishing the primary industrial blue-water boundary.[S03] The International Finance Corporation (IFC) Environmental, Health, and Safety Guidelines for Textile Manufacturing likewise connect freshwater intake directly to wastewater and sludge generation and to the thermal energy required to heat process baths.[S01]
Furthermore, the Water Footprint Assessment Manual warns that adding the water footprints of intermediate and final products across overlapping stages results in double counting, because the supply-chain footprint of finished cotton fabric already embeds the agricultural water footprint of harvested seed cotton.[S10] At the factory gate, an operational key performance indicator (KPI) should never be labelled a "product water footprint" unless the scope explicitly includes upstream agricultural green and blue water and follows a documented supply-chain method.[S10][S11] Instead, factory records should separate four physical flows and one analytical indicator, as structured in Exhibit 10:
Method
Boundary separation between metered pipe flows and grey-water assimilation
To prevent unit corruption in the GFT resource ledger, physical water balances and pollutant assimilation indicators are calculated in separate equations.[S10][S0302]
As Exhibit 10 illustrates, each layer answers a distinct engineering or policy question. Layer 1 governs shift-level process control on the factory floor, linking machine fills and rinse sequences to accepted output. Layer 2 reconciles submeters to the facility's main intake and outfall meters over a weekly or monthly utility close. Layer 3 connects the factory to its agricultural and upstream manufacturing supply chain under Water Footprint Network accounting rules.[S10] Layer 4 applies life-cycle impact characterisation under ISO 14046:2014.[S11] While Exhibit 10 maps the conceptual nesting of these four boundaries, it cannot supply a conversion factor between Layer 1 and Layer 4: a low value in Layer 1 does not prove a low environmental impact in Layer 4 unless catchment scarcity and effluent chemistry are independently verified.
Layer 3 connects the factory to its agricultural and upstream manufacturing supply chain under…
S10
3.2
Industrial sponsors and sustainability teams frequently ask whether their factory water ledger complies with international water-footprint standards. Answering that question requires separating operational performance tracking from life-cycle assessment. Published on 24 July 2014, ISO 14046:2014 specifies principles, requirements and guidelines for the water-footprint assessment of products, processes and organisations based on life-cycle assessment (LCA) in accordance with ISO 14040 and ISO 14044.[S11] Under ISO 14046:2014, a water-footprint assessment is not a simple sum of litres read from a flowmeter; it is a formal LCA study that compiles a water-related life-cycle inventory across defined system boundaries and applies impact assessment methods to evaluate potential environmental impacts associated with water quantity and water quality.[S11]
The distinction between a daily site KPI and an ISO 14046:2014 water-footprint profile is operational as well as methodological. On the factory floor, a dyehouse manager or garment-washing supervisor needs an immediate, unambiguous physical signal: how many litres of freshwater and how many litres of softened process liquor were consumed today to produce each accepted kilogram of reactive-dyed jersey or each accepted pair of washed trousers, and how did that ratio compare against the product family's baseline?[S05][S24] That operational KPI must be available at shift or batch closure, must use unweighted physical litres so that mass balances reconcile to tank levels and flowmeters, and must isolate the facility's own gate-to-gate boundary.[S18][S24]
In contrast, an ISO 14046:2014 assessment is designed for strategic product comparisons, catchment-sensitive siting studies, life-cycle Hotspot identification and external environmental disclosures.[S11] Because ISO 14046:2014 is impact-based, a cubic metre of water consumed in an arid basin with severe aquifer overdraft receives a different scarcity-weighted characterisation factor from a cubic metre withdrawn in a humid basin with abundant perennial runoff, and an effluent stream containing persistent salts or nutrients is characterised across water-degradation impact categories such as freshwater eutrophication or ecotoxicity.[S11] Moreover, Textile Exchange's 2025 report on integrity in the use of LCA data emphasises that LCA datasets should be used only when decision-makers understand their underlying assumptions, methodological rules, allocation choices and geographic or temporal limitations.[S23] Importing a generic global secondary LCA factor for "cotton dyeing" into a Cameroon project feasibility model would hide the very variables that engineering design is meant to control: machine liquor ratio, countercurrent washing efficiency, right-first-time shade release and local effluent treatment.[S02][S23]
Facility-level reporting frameworks reinforce this boundary discipline. The Higg Facility Environmental Module (FEM) 4.0 Technical Paper published by the Sustainable Apparel Coalition requires any integrated facility that manufactures both fabric and finished garments on the same site to track and report its water and energy consumption separately by facility type.[S24] Without that separation, a plant combining a high-volume wet dyehouse (measured in litres per kilogram of fabric) with a cut-make-trim sewing hall (where water is used primarily for steam pressing, evaporative cooling and worker sanitation, measured per piece) would produce a blended ratio that neither benchmark tables nor line managers can interpret.[S03][S24]
For GFT's Cameroon textile programme, keeping the site KPI and the ISO 14046:2014 boundary distinct prevents two opposite management failures. First, it prevents a garment-assembly operation that outsources wet processing to a regional partner from claiming a "low water footprint" merely because its own sewing floor uses little water; under ISO 14046:2014 and supply-chain accounting, the partner dyehouse's withdrawals and discharges remain inside the product's life-cycle boundary.[S10][S11] Second, it ensures that plant engineers do not wait for a multi-year cradle-to-grave LCA before installing electromagnetic flowmeters on dyehouse headers, fixing leaking pneumatic drain valves and enforcing batch-level liquor-ratio discipline.[S01][S02] In GFT's architecture, the batch-level site ledger supplies the primary foreground life-cycle inventory data that a later ISO 14046:2014 or Product Environmental Footprint (PEF) study requires, while maintaining a clean, unweighted volumetric ledger for daily factory control.[S11][S23]
3.3
Read-out · sourced
Cameroon national water stress (1.56 percent in 2015 and 2021) and global water stress (18.6 percent in 2021) are transcribed from the 2024 FAO and UN-Water SDG Indicator 6.4.2 report and its Annex 1 (S12). Douala household reliable potable-water access (42 percent within 500 m of a tap) and constructed drainage (50 km of 250 km needed) are from the 2025 WHO account (S15). Neither indicator establishes industrial supply security at a factory site.
Unit: as labelled. Status: sourced. Sources: S12, S15.
When international investors screen African manufacturing locations, they often consult country-level hydrological tables and conclude that humid or sub-humid nations in Central Africa face negligible water risk. The 2024 mid-term progress report on Sustainable Development Goal (SDG) Indicator 6.4.2, published jointly by the Food and Agriculture Organization of the United Nations (FAO) and UN-Water, defines water stress as the ratio of total freshwater withdrawn by all major economic sectors (agriculture, industry and municipalities) to total renewable freshwater resources after deducting environmental flow requirements (EFR).[S12] At the global scale, the report documents that water stress increased by 2.8 percentage points since 2015, reaching 18.6 percent in 2021.[S12] In Annex 1 of the same 2024 FAO and UN-Water report, Cameroon's national water-stress level is recorded at 1.56 percent in 2015 and 1.56 percent in 2021, representing a 0.00 percentage-point change and placing the country as a whole well below the 25 percent threshold that demarcates the boundary between "no stress" and "low stress".[S12]
The 2024 mid-term progress report on Sustainable Development Goal (SDG) Indicator 6.4.2
S12
Using that 1.56 percent national figure to declare a Cameroonian textile site immune to water scarcity or supply disruption would be a severe engineering error. The FAO and UN-Water report itself explicitly warns that national water-stress values can hide substantial subnational variations at the river-basin level, noting that countries with safe national aggregates routinely contain individual river basins experiencing acute stress.[S12] National annual averages pool runoff across entirely distinct hydroclimatic zones and across twelve calendar months. In Cameroon, a national denominator combines the equatorial coastal and southern forest river systems with the Sudano-Sahelian northern cotton belt around Garoua and Maroua, where rainfall is highly seasonal and dry-season surface flows contract sharply. Even within a high-runoff coastal basin, annual river discharge does not equate to treated, pressurized industrial water at a factory boundary.
The contrast between macro-level hydrological abundance and local infrastructure reality is starkly illustrated in Douala, Cameroon's primary port and industrial hub. In a feature report dated 26 September 2025, the World Health Organization (WHO) documented that only 42 percent of households in Douala have reliable access to potable water within 500 metres of a tap, and that out of an estimated 250 kilometres of urban drainage required across the city, only 50 kilometres have been constructed.[S15] The same 2025 WHO account notes that inadequate water access, sanitation and drainage contribute directly to waterborne diseases including malaria, typhoid and cholera, with cholera having become endemic in the city since October 2021.[S15]
Both numbers require strict methodological quarantine before they enter an industrial feasibility study, as summarised in Exhibit 11. Cameroon's 1.56 percent SDG 6.4.2 value measures national annual withdrawals relative to national renewable runoff less environmental flows; it says nothing about municipal treatment capacity, distribution-pipe leakage, dry-season aquifer drawdown or power-outage pumping interruptions at an industrial estate.[S12] Conversely, the WHO figure of 42 percent household potable-water access within 500 metres of a tap is a domestic public-health and community-access metric; it cannot be converted into an uptime percentage for a high-pressure industrial water main or a deep factory borehole.[S15] What the juxtaposition proves is that hydrological resource availability in a river basin and engineered supply reliability at a tap or manifold are governed by entirely different physical systems.
Cameroon’s 1.56 percent SDG 6.4.2 value measures national annual withdrawals relative to national renewable…
S12
The comparative evidence from South Asian textile clusters reinforces the lesson of Exhibit 11. In Annex 1 of the same 2024 FAO and UN-Water report, Bangladesh records a national water-stress level of just 5.72 percent in both 2015 and 2021, placing it in the same "no stress" national band (<25 percent) as Cameroon.[S12] Yet empirical studies of Bangladesh's textile wet-processing zones document severe local groundwater stress because factories concentrate withdrawals in specific alluvial aquifers. In a 2023 survey of 18 textile wet-processing factories in Bangladesh published in PLOS Sustainability and Transformation, average specific groundwater consumption was 164 litres per kilogram of processed textile material (with a standard deviation of about 81.8 litres per kilogram), and the authors note that this intensive extraction is directly linked to regional groundwater depletion and wastewater pollution.[S04] Similarly, a 2022 study of 15 textile dyeing mills in Bangladesh published in MDPI Textiles recorded extracted groundwater KPIs ranging from a minimum of 99.15 litres per kilogram to a maximum of 198.20 litres per kilogram, with a sample average of 138.26 litres per kilogram.[S05] A national SDG 6.4.2 figure below 6 percent did not protect those industrial clusters from falling water tables.
Bangladesh records a national water-stress level of just 5.72 percent in both 2015 and 2021
S12
In Cameroon, industrial textile planning spans both northern cotton-growing zones and southern coastal or peri-urban hubs. Public reporting in the inherited evidence register notes that the announced Camtext SA project (a US$300 million, or 180 billion XAF, integrated cotton-to-textile venture reported on 12 November 2025 involving Panafritex and Arise with SODECOTON, CNPS and Marlo) targets processing 12,000 tonnes a year with activities split between a Dibamba hub near Douala (projected at about 12,000 jobs) and Garoua in the North Region (projected at about 3,000 jobs), while the incumbent producer CICAM operated plants in Garoua and Douala whose July 2023 reported capacity utilisation stood at 33.7 percent at Garoua, 48.9 percent at CICAM 1 and 10.83 percent at CICAM 2.[R09][R10][R12] Those third-party announcements and historical utilisation figures describe sector context rather than GFT operations, but they highlight the two distinct hydrological environments any Cameroonian textile programme must evaluate:
Interlude · the cloth half-woven
Woven: sections 3.0 to 3.3Still to weave: 3.4 to 3.6
Read-out
Inherited sector context, not GFT output. Original publication dates were not recorded. The 2030 figure is a national target, not achieved production; the baseline is not a current verification.
Unit: percent of cotton fibre. Status: sourced. Sources: R06, R07.
Read this exhibit in its chapter ↗3.4
Metered sources: utility, borehole, rain (M1)
Metered sources: utility, borehole, rain (M1). Starting point. Leads to Storage, filtration and softening (M2, M3) (Raw intake). · derived
To convert contextual water risk into an auditable factory control, a plant must map and meter its physical water network from every external intake point through storage and pretreatment to every process user…
Storage, filtration and softening (M2, M3)
Storage, filtration and softening (M2, M3). From Metered sources: utility, borehole, rain (M1) (Raw intake). Leads to Preparation, dyeing and washing (M5a, M5b) (Softened water), Boiler, cooling and WASH headers (M4) (Filtered water), Permitted outfall, brine and sludge (M9, M10) (Backwash brine). · derived
Boiler, cooling and WASH headers (M4)
Boiler, cooling and WASH headers (M4). From Storage, filtration and softening (M2, M3) (Filtered water), Quality-released permeate reuse (M8) (Utility make-up). Leads to Evaporation, steam and dryer loss (B1) (Steam/cooling), Segregated drains, ETP and UF/RO (M6, M7) (Blowdown/WASH). · derived
Evaporation, steam and dryer loss (B1)
Evaporation, steam and dryer loss (B1). From Boiler, cooling and WASH headers (M4) (Steam/cooling), Preparation, dyeing and washing (M5a, M5b) (Dryer carry-out). End point. · derived
Segregated drains, ETP and UF/RO (M6, M7)
Segregated drains, ETP and UF/RO (M6, M7). From Boiler, cooling and WASH headers (M4) (Blowdown/WASH), Preparation, dyeing and washing (M5a, M5b) (Spent baths). Leads to Quality-released permeate reuse (M8) (RO permeate), Permitted outfall, brine and sludge (M9, M10) (Effluent/sludge). · derived
Quality-released permeate reuse (M8)
Quality-released permeate reuse (M8). From Segregated drains, ETP and UF/RO (M6, M7) (RO permeate). Leads to Preparation, dyeing and washing (M5a, M5b) (Matched rinse), Boiler, cooling and WASH headers (M4) (Utility make-up). · derived
Permitted outfall, brine and sludge (M9, M10)
Permitted outfall, brine and sludge (M9, M10). From Storage, filtration and softening (M2, M3) (Backwash brine), Segregated drains, ETP and UF/RO (M6, M7) (Effluent/sludge). End point. · derived
Site water-balance and metering topology derived from the 18-factory and 15-mill wet-processing balances in Bangladesh (S04, S05), the groundwater and effluent governance findings in Ethiopia (S14) and Criterion 1.3 of the AWS International Water Stewardship Standard 2.0 (S0302). Each node represents a metered control boundary; no volumes are prefilled prior to site measurement.
Unit: . Status: derived. Sources: S04, S05, S14, S0302.
3.4 · the bodyExhibit 12 above; its figures are illustrative where marked.
To convert contextual water risk into an auditable factory control, a plant must map and meter its physical water network from every external intake point through storage and pretreatment to every process user, treatment unit and final discharge outfall. The International Water Stewardship Standard Version 2.0, published by the Alliance for Water Stewardship (AWS) on 22 March 2019, establishes that the fundamental spatial unit of water stewardship is the local river basin or catchment from which an organisation draws its water supply and to which it returns its discharges and wastewater.[S0302] Under AWS Step 1 (Criteria 1.1 and 1.3), a site must map its operational boundaries, owned or managed piping networks, direct water sources, water service providers and their ultimate hydrological sources, discharge points, wastewater service providers and ultimate receiving water bodies, and must quantify its site water balance including inflows, losses, storage and outflows alongside annual and seasonal variances.[S0302]
The International Water Stewardship Standard Version 2.0
S0302
Empirical factory balances from textile wet processing show why separating intake sources and internal transformation steps is essential. In the 2023 PLOS study of 18 Bangladeshi textile wet-processing factories, total groundwater extraction averaged 164 litres per kilogram of fabric, whereas softened water delivered to the dyehouse averaged 136 litres per kilogram (representing between 68 and 100 percent of extracted groundwater across the sampled mills), and generated wastewater averaged 119 litres per kilogram.[S04] If a factory meters only its dyehouse header (136 litres per kilogram), it misses 28 litres per kilogram of upstream raw-water losses, ion-exchange softener regeneration backwash, boiler feedwater, cooling make-up and domestic sanitation consumption.[S04] Conversely, if it meters only the borehole pump (164 litres per kilogram) without submetering the dyehouse and the effluent outfall (119 litres per kilogram), it cannot distinguish process bath inefficiency from underground pipe leakage, evaporative drying losses or unrecorded bypasses.[S04][S05]
The water-governance mapping of Ethiopia's textile industry published by the Stockholm International Water Institute (SIWI) and the Sweden Textile Water Initiative provides a crucial African industrial benchmark for how source dependence and effluent governance interact.[S14] In that report, industrial water withdrawal in Ethiopia accounted for only 0.4 percent of total national water withdrawal according to the cited baseline profile, yet virtually all textile and garment factories relied on self-supplied borehole groundwater (with only a small minority tapping surface water or municipal networks).[S14] Crucially, the SIWI authors identified two structural governance failures that turned a modest national withdrawal share into a major local operational risk:
…in Ethiopia accounted for only 0.4 percent of total national water withdrawal according to…
S14
Global spatial risk frameworks corroborate the primacy of water quality and governance risks in textile manufacturing. In the World Resources Institute (WRI) Aqueduct 4.0 framework published on 16 August 2023, 13 global indicators are grouped into Physical Risk Quantity (eight indicators including baseline water stress, baseline water depletion, interannual variability, seasonal variability, groundwater table decline, riverine flood risk, coastal flood risk and drought risk), Physical Risk Quality (untreated connected wastewater and coastal eutrophication potential) and Regulatory and Reputational Risk (unimproved or no drinking water, unimproved or no sanitation, and the Peak RepRisk country ESG risk index).[S0301] In Aqueduct 4.0's industry weighting matrix (Table 3 of the technical note), the textile sector is assigned the maximum relevance weight of 4 on two specific indicators: untreated connected wastewater (Physical Risk Quality) and the Peak RepRisk country ESG risk index (Regulatory and Reputational Risk), while baseline water stress, baseline water depletion, interannual variability, coastal flood risk, unimproved drinking water and unimproved sanitation each receive a weight of 2, and seasonal variability receives 0.5.[S0301] At the same time, the WRI authors explicitly state in their limitations section that not every aspect of water risk has usable global datasets, noting that local water management, governance and local social dimensions are partially absent from global models.[S0301]
In the World Resources Institute (WRI) Aqueduct 4.0 framework published on 16 August 2023
S0301
For a Cameroonian textile or garment facility, GFT synthesises the mass-balance architecture of the Bangladesh mill studies, the groundwater and effluent governance lessons of the Ethiopian mapping, and the site-scope requirements of the AWS Standard into the reconciled metering topology shown in Exhibit 12.[S04][S05][S14][S0302]
In Exhibit 12, ten physical meter boundaries (M1 through M10) and one calculated evaporative balance node (B1) prevent any single flow from disappearing into an unallocated residual.[S04][S0302] Specifically:
M1a, M1b, M1c): Municipal mains, on-site boreholes, and surface or rainwater harvesting each carry their own flowmeter, totaliser and water-quality log. If municipal supply drops during a Douala or Garoua dry-season outage and the plant switches to buffered tank storage or borehole pumping, the shift log records the exact source substitution rather than masking it inside one aggregate intake figure.[S15][S0302]M2 to M3 and M4): Raw water often requires sand filtration, iron removal or ion-exchange softening before it can enter reactive dyeing without causing shade unlevelness or boiler scaling.[S02][S04] By metering raw intake (M2) against softened process output (M3) and utility output (M4), the ledger isolates filter backwash and resin-regeneration brine (M2 to M10), which the 18-factory Bangladesh study showed can account for up to 32 percent of extracted groundwater in the most loss-prone mills (where dyehouse water was 68 percent of groundwater intake).[S04]M5a, M5b vs M4): Preparation and dyeing (M5a) are tracked separately from rinsing and garment washing (M5b), while boiler feed, cooling-tower make-up and worker water, sanitation and hygiene (WASH) flows (M4) remain on their own header. This satisfies both Higg FEM 4.0's requirement to separate unlike facility operations and the AWS Standard's requirement to verify on-site WASH access alongside industrial balances.[S24][S0302]M6, M7, M8, M9, M10): Segregated drain collection (M6) feeds the effluent treatment plant (ETP) and any membrane polishing stage (M7), whose outputs must sum across recycled permeate (M8), final permitted discharge (M9) and removed concentrate or sludge (M10).[S06][S14] What Exhibit 12 cannot establish on its own is the acceptable chemical concentration at each node; for that, volumetric metering must be paired with an analytical effluent ledger.[S33]3.5
Exhibit 137 paragraphs step it
Read-out
| Household wastewater generated volume | 193 | 193 | >99% | 268 bn m3 |
|---|---|---|---|---|
| Household wastewater safely treated share | 116 | 129 | 89% | 58% |
| Total wastewater generated volume | 56 | 85 | 46% | 187 bn m3 |
| Total wastewater safely treated share | 15 | 42 | 12% | 60% |
| Industrial wastewater generated volume | 32 | 49 | 16% | 36 bn m3 |
| Industrial wastewater treated volume | 15 | 27 | 10% | 8 bn m3 |
| Industrial wastewater treated share (any) | 14 | 22 | 8% | 38% |
| Industrial wastewater safely treated volume | 3 | 17 | 5% | 3 bn m3 |
| Industrial wastewater safely treated share | 3 | 16 | 4% | 27% |
Transcribed from Table 1 (page xii) and Section 3 (page 38) of the 2024 UN-Habitat and WHO report for UN-Water on SDG Indicator 6.3.1 (S13). Because industrial reporting covers only 4 to 16 percent of the global population, UN-Water states that no valid global industrial wastewater estimate can be made.
Unit: UN Member States, % population, billion m3. Status: sourced. Sources: S13.
A cubic metre of discharged textile wastewater is not equivalent to a cubic metre of withdrawn river water, even when the volume returned to the catchment equals 80 or 90 percent of the volume abstracted. Wet processing introduces salts, alkalis, organic sizing agents, surfactants, unfixed dyestuffs, optical brighteners and finishing resins that alter the temperature, pH, dissolved oxygen demand, salinity and toxicity of the receiving water body.[S01][S02][S31] Treating wastewater merely as a negative deduction from intake to compute "net consumption" hides the primary environmental pathway through which textile mills damage local catchments.[S14][S0301]
International monitoring data demonstrate that industrial wastewater cannot be governed by relying on national or global statistical averages. In the 2024 mid-term progress report on SDG Indicator 6.3.1 (Proportion of domestic and industrial wastewater flows safely treated), UN-Habitat and the World Health Organization state for UN-Water that they remain unable to produce a global estimate of total and industrial wastewater flows because of pervasive national under-reporting.[S13] A detailed inspection of Table 1 and Section 3 of that 2024 UN-Water report exposes the scale of the industrial data void, as compiled in Exhibit 13:
The numbers in Exhibit 13 carry an immediate operational consequence for industrial benchmarking: when a country or region lacks comprehensive industrial wastewater statistics, an absence of published pollution figures reflects a monitoring gap rather than clean rivers.[S13] Even where targeted national surveys are conducted, coverage remains partial. In Box 7 of the same 2024 UN-Water report, an industrial and urban wastewater pilot conducted by the Environmental Protection Agency (EPA) of Ghana in collaboration with UN-Habitat for 2021/2022 received data from 150 facilities (143 industrial and 7 urban), representing 38 percent of the 400 facilities targeted.[S13] Those 150 reporting facilities consumed an estimated 29 million cubic metres of water per year and generated 11 million cubic metres of wastewater per year (85 percent from industries), carrying a combined annual pollutant load of 10,343 tonnes of nitrate, phosphorus, COD and $\text{BOD}_5$; notably, the 60 industrial facilities that operated wastewater treatment generated 63 percent of the total wastewater volume, while 83 industrial facilities had no wastewater treatment at all (accounting for 12 percent of total volume, with the urban facilities accounting for the remainder).[S13]
Because macro-level wastewater inventories cannot verify site compliance, a textile factory must maintain its own chemical-input and effluent-quality ledger. The ZDHC Wastewater Guidelines Version 2.2 (published in 2024 by the ZDHC Foundation) establish a unified industry expectation for testing industrial wastewater and sludge across conventional parameters, anions, heavy metals and Manufacturing Restricted Substances List (MRSL) chemicals.[S33] Crucially, ZDHC states that the purpose of testing ZDHC MRSL parameters in wastewater is to check for the intentional use of restricted substances or high levels of contamination in the chemical inputs entering the factory.[S33] Effluent quality is therefore not merely an end-of-pipe civil-engineering problem; it is an audit mirror of chemical purchasing, Safety Data Sheet (SDS) verification, recipe dosing and dye fixation.[S31][S32][S33]
Combining the hydrological, infrastructural, governance and reporting evidence across these international and national studies, Exhibit 14 positions the eight primary water-risk dimensions that a Cameroonian textile project must evaluate across two operational axes: the degree to which external public datasets can detect the risk prior to site testing (horizontal axis, from 0 to 10) and the severity of the operational or regulatory disruption if the risk is left unmanaged at the factory gate (vertical axis, from 0 to 10).[S12][S13][S14][S15][S0301][S0302]
As Exhibit 14 makes clear, the indicator with the highest visibility in international statistical tables, namely Cameroon's 1.56 percent national annual water-stress figure in the lower-right quadrant, carries the lowest direct diagnostic power for a specific factory plot.[S12] Conversely, the four hazards clustered in the upper-left quadrant ("Blind spots: mandatory site meter and lab audit") combine high operational severity with low visibility in macro-databases: untreated industrial effluent pollution, the global and national industrial wastewater reporting gap, unmonitored post-licence borehole drawdown, and seasonal raw-water hardness or salinity swings.[S02][S04][S13][S14][S0301][S0302] While Exhibit 14 organises the screening priorities for GFT's site-selection tool, the coordinates are illustrative structured rankings derived from those cited risk frameworks rather than physical measurements of a specific Cameroonian parcel; each blind spot must be converted into a physical meter and sampling point during site due diligence.[S0301][S0302]
3.6
Related · chapter 026 paragraphs step it
Read-out
Illustrative model of a 10,000 kg cotton batch schedule with 120 L/kg first-pass water use, 90 L/kg corrective re-dye water use and stated reject shares. Direction of reprocessing penalty follows S37; values are illustrative.
Unit: illustrative L per kg. Status: illustrative. Sources: S37. Illustrative figures are teaching examples, not measured factory results.
Read this exhibit in its chapter ↗When faced with local intake constraints or strict outfall limits, project sponsors frequently propose wastewater recycling or "zero liquid discharge" (ZLD) as a universal technical fix. Chapter 10 of this paper examines treatment trains and fit-for-purpose water quality in full engineering detail, but the foundational accounting rule belongs here in Part I: water reuse changes the internal circulation and phase distribution of water, salts and energy inside the factory boundary; it does not make environmental impacts disappear.[S06][S10]
A documented industrial case study of a textile dyeing and finishing plant in Foshan, China, published in MDPI Processes on 11 January 2019, illustrates both the technical potential and the physical trade-offs of advanced water reuse.[S06] The Foshan facility treated textile wastewater using a combined train of two-stage ozonation, ultrafiltration (UF) and reverse osmosis (RO), achieving a whole-system recycled water reuse rate of 86.8 percent (which exceeded a comparative forward-osmosis and reverse-osmosis reference system by 31.8 percentage points).[S06] That 86.8 percent recovery rate is an empirical result achieved on that specific system and effluent profile; it must not be imported into a Cameroonian feasibility model as a guaranteed recovery factor.[S06]
More importantly, the Foshan study demonstrates that high-recovery membrane recycling creates three linked physical and economic obligations that must remain visible on the factory resource ledger:
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R03 · Grade C · inherited record
Inherited evidence R03
Company profile: more than 220,000 cotton producers supported in northern Cameroon; nine ginning plants; two oil mills.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R06 · Grade C · inherited record
Inherited evidence R06
About 95 percent of cotton fibre exported raw against 5 percent processed locally; industrialisation target of 50 percent local processing.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R07 · Grade C · inherited record
Inherited evidence R07
SND30 restates the 50 percent local-processing target by 2030.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R09 · Grade C · inherited record
Inherited evidence R09
Camtext SA integrated cotton-to-textile project, US$300 million (180 billion XAF); Panafritex and Arise with SODECOTON, CNPS and Marlo; 12 November 2025.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R10 · Grade C · inherited record
Inherited evidence R10
Camtext SA: 12,000 t a year processed; about 12,000 jobs at the Dibamba hub and 3,000 at Garoua; return on investment near 11 years; optimal capacity around 2033.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
R12 · Grade C · inherited record
Inherited evidence R12
CICAM capacity utilisation, July 2023 report: Garoua 33.7 percent, CICAM 1 48.9 percent, CICAM 2 10.83 percent; underutilisation cost about CFAF 2 billion in 2020.
Publication date unrecorded. Inherited source-text record. The original publication has not been independently reopened for this web edition.
c03-S01 · Grade A
Environmental, Health, and Safety Guidelines for Textile Manufacturing
Water consumption in textile manufacturing has a significant environmental impact, in terms of freshwater needs, wastewater/sludge production, and energy used in heating.
2007-04-30. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S02 · Grade A
Best Available Techniques (BAT) Reference Document for the Textiles Industry
Important issues for the implementation of Directive 2010/75/EU in the textiles (TXT) sector are emissions to water and air, use and handling of chemicals as well as energy consumption.
2023. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S03 · Grade B
Textile production water use and textile wastewaters: Literature Review
Textile wet processes consume approximately 60 to 90 % of the total water used in textile processes.
2024-04-16. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S04 · Grade B
Water and chemical consumption in the textile processing industry of Bangladesh
The average groundwater consumption was 164 L/Kg; dyehouse water was 136 L/Kg, while the corresponding wastewater generated was 119 L/Kg.
2023-07-31. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S05 · Grade B
An Assessment of Energy and Groundwater Consumption of Textile Dyeing Mills in Bangladesh and Minimization of Environmental Impacts via Long-Term Key Performance Indicators (KPI) Baseline
The maximum, minimum, and average KPI of extracted groundwater were 198.20 L/kg, 99.15 L/kg, and 138.26 L/kg, respectively.
2022-09-28. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S06 · Grade B
Textile Wastewater Treatment for Water Reuse: A Case Study
The reuse rate of recycled water in the whole system was 86.8%, higher than that during forward osmosis (FO)-RO system by 31.8% [49].
2019-01-11. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S09 · Grade B
The water footprint of cotton consumption: An assessment of the impact of worldwide consumption of cotton products on the water resources in the cotton producing countries
The consumption of a cotton product is connected to a chain of impacts on the water resources in the countries where cotton is grown and processed.
2006. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S10 · Grade B
The Water Footprint Assessment Manual: Setting the Global Standard
The water footprint of a product is the volume of freshwater used to produce the product, measured over the full supply chain.
2011. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S11 · Grade A
ISO 14046:2014 Environmental management: Water footprint: Principles, requirements and guidelines
ISO 14046:2014 specifies principles, requirements and guidelines related to water footprint assessment of products, processes and organizations based on life cycle assessment (LCA).
2014-07-24. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S12 · Grade A
Progress on the level of water stress: Mid-term status of SDG Indicator 6.4.2 and acceleration needs, with special focus on food security
Water stress levels have increased by 2.8 percent globally since 2015, reaching 18.6 percent in 2021.
2024. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S13 · Grade A
Progress on the proportion of domestic and industrial wastewater flows safely treated: Mid-term status of SDG Indicator 6.3.1 and acceleration needs
We are still unable to make a global estimate of total and industrial wastewater flows due to the under-reporting.
2024. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S14 · Grade B
Water Governance Mapping Report: Textile Industry Water Use in Ethiopia
Overall, the sector faces higher water pollution risks than water quantity risks.
2017. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S15 · Grade A
The transformative power of community action: improving access to safe drinking water in Douala, Cameroon
Access to water is also a challenge; only 42% of households in the city have reliable access to potable water (within 500 metres of a tap).
2025-09-26. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S18 · Grade A
ISO 50001:2018 Energy management systems: Requirements with guidance for use
ISO 50001:2018 is an international standard that provides a framework for establishing, implementing, maintaining, and improving an Energy Management System (EnMS).
2018. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S19 · Grade B
Scope 2 Guidance
The Scope 2 Guidance standardizes how corporations measure emissions from purchased or acquired electricity, steam, heat and cooling (called “scope 2 emissions”).
2015. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S23 · Grade B
Ensuring Integrity in the Use of Life Cycle Assessment Data
Ensuring Integrity in the Use of Life Cycle Assessment Data includes a call for industry-wide integrity in the use of LCA data, with key recommendations, such as only using LCA data when there is a full understanding of the key assumptions, methods, and use cases.
2025-08-07. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S24 · Grade B
Higg Facility Environmental Module (FEM) 4.0 Technical Paper
This means a facility that manufactures final finished products and fabric in the same facility will need to track and report their energy and water consumption data separately.
2022. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S25 · Grade A
Cameroon Power Sector Reform Program (P178136): Implementation Status and Results Report
The Cameroon Power Sector Reform Program was approved by the World Bank in August 2023.
2025-06-25. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S31 · Grade B
Eco-friendly salt/alkali-free exhaustion dyeing of cotton fabric with reactive dyes
The characterization of effluent samples with RY 145 taken after dyeing using TNA compared with conventional dyeing indicated an efficient reduction of COD, BOD, and TDS values by 99, 97, and 97%, respectively.
2022-12-26. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S32 · Grade B
ZDHC MRSL V3.1 and Conformance Guidance V2.1: Formulator
Uploading Safety Data Sheets (SDS) for all ZDHC MRSL Conformant products is mandatory.
2023. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S33 · Grade B
ZDHC Wastewater Guidelines, Version 2.2
The purpose of testing ZDHC MRSL parameters is to check for intentional use of ZDHC MRSL substances and/or high levels of respective contamination in the chemical inputs.
2024. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S37 · Grade B
Right-first-time dyeing: a design of experiments approach for the optimisation of dyeing-processes using hard water
The benefits of achieving the right-first-time are very significant including for instance, reduction in water and energy consumption, reduction in effluent generation along with time and colour saving (Parton, 1994).
2019. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S0301 · Grade B
Aqueduct 4.0: Updated decision-relevant global water risk indicators
Not every aspect of water risk has usable global data sets enabling it to be incorporated into our framework. Certain important elements are partially missing from the framework, such as water management and governance.
2023-08-16. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗c03-S0302 · Grade B
International Water Stewardship Standard, Version 2.0
The basic component of a local water environment is the river basin or catchment in terms of where an organization obtains its water supply and where its discharges and wastewater go.
2019-03-22. Register access date: 2026-10-30. Source provenance is supplied by the paper evidence register.
Open the recorded source ↗S01 International Finance Corporation, World Bank Group. 2007-04-30.
S14 Sweden Textile Water Initiative, Stockholm International Water Institute. 2017.
S06 MDPI, Processes. 2019-01-11.
S10 Earthscan, for Water Footprint Network. 2011.
S11 International Organization for Standardization. 2014-07-24.
R06 Cameroon Trade Hub. Publication date unrecorded; inherited source-text check.
R07 Ecofin Agency. Publication date unrecorded; inherited source-text check.
S09 Elsevier, Ecological Economics. 2006.
R03 SODECOTON. Publication date unrecorded; inherited source-text check.
S03 VTT Technical Research Centre of Finland, Telaketju. 2024-04-16.
S04 PLOS Sustainability and Transformation. 2023-07-31.
S0302 Alliance for Water Stewardship. 2019-03-22.
S13 UN-Habitat and World Health Organization, for UN-Water. 2024.
S33 ZDHC Foundation. 2024.
S24 Sustainable Apparel Coalition. 2022.
S05 MDPI, Textiles. 2022-09-28.
S18 International Organization for Standardization. 2018.
S23 Textile Exchange. 2025-08-07.
S02 European Commission Joint Research Centre. 2023.
S12 Food and Agriculture Organization of the United Nations and UN-Water. 2024.
S15 World Health Organization. 2025-09-26.
R09 Ecofin Agency. Publication date unrecorded; inherited source-text check.
R10 Ecofin Agency. Publication date unrecorded; inherited source-text check.
R12 Business in Cameroon. Publication date unrecorded; inherited source-text check.
S0301 World Resources Institute. 2023-08-16.
S25 World Bank. 2025-06-25.
S31 Springer Nature, Scientific Reports. 2022-12-26.
S32 ZDHC Foundation. 2023.
S19 GHG Protocol. 2015.
S37 Emerald Publishing Limited. 2019.
Keep the thread · chapter 03 of 14
Move the shuttle along the rack to preview any chapter: its sections, exhibits and reading time. Draft web edition. This research is not investment, legal or tax advice; illustrative models are not measured factory results.
The paper's rack · 14 boltsBolt length: reading time
01Part I: Define the unit before reducing it
Adding value inside Cameroon requires an explicit account of the water, chemistry and energy associated with accepted production, including the work bought from suppliers.
02Part I: Define the unit before reducing it
A per-unit ratio is meaningful only when output, quality release, product mix and allocation rules remain visible beside it.
03Part I: Define the unit before reducing it
Volumetric accounting becomes decision-ready only when source, catchment, season, quality and discharge are attached to each litre.
04Part I: Define the unit before reducing it
A shade is resource-efficient only when its accepted result includes the chemistry, washing, corrections and discharge needed to produce it.
05Part II: The process sets the floor
Uneven or incomplete preparation propagates extra water, heat and correction through every later stage.
06Part II: The process sets the floor
A smaller nominal bath is an engineering opportunity whose real value depends on levelness, fixation, rinsing, throughput and reprocessing.
07Part II: The process sets the floor
The correct rinse is the minimum flow that reaches the specified residual-chemistry endpoint with acceptable colour and fabric quality.
08Part II: The process sets the floor
Removing liquid before evaporation can reduce the drying duty, provided that fabric quality, finish chemistry and accepted output remain inside the test.
09Part II: The process sets the floor
A garment plant may avoid a dyehouse on site, but it still needs a per-piece account for machines, utilities, washing and every unit that fails first time.
10Part III: Reduction is a system
A reuse system is a production process with its own energy, chemistry, losses and quality release, not a free source of water.
11Part III: Reduction is a system
A recovery or electrification project earns its place only when a measured source can serve a measured sink at the required time, temperature and emissions factor.
12Part III: Reduction is a system
A resource project is ready for capital only when its baseline, production effect and whole-cycle savings are measured with enough confidence to survive operating variance.
13Part IV: GFT's measurement and reduction system
Resource data becomes useful when it carries the identity of the fabric, recipe, machine and quality decision that produced it.
14Part IV: GFT’s measurement and reduction system
GFT recommends a sequence of evidence gates, from a signed measurement contract to repeated operating proof, with scale conditional on resource, quality and environmental performance.