Water Footprint Management for Sustainable Growth in the Bangladesh Apparel Sector
Abstract
:1. Introduction
2. Materials and Method
2.1. Imported Cotton, Cotton Yarn and Cotton Fabric
2.2. Water Footprint of Cotton Cultivation
- α = the leaching–runoff fraction, defined as the fraction of applied chemicals reaching freshwater bodies,
- Appl = application rate of chemicals on or into the soil (in mass/time),
- cmax = the maximum acceptable concentration for a pollutant and
- cnat = natural concentration for a pollutant in the receiving water body.
2.3. Water Footprint of Textile Industry
2.3.1. Raw Material for Textile Industry
2.3.2. Water Footprint Calculation for Textile Industry
- Effl = effluent volume,
- Abstr = water volume of the abstraction,
- ceffl = concentration of the pollutant in the effluent and
- cact = actual concentration of the intake water.
2.4. Water Footprint of Workers
2.5. Water Footprint for Transportation
3. Results
3.1. Water Footprint of Cotton Cultivation
3.2. Water Footprint for Transportation
3.3. Water Footprint of Textile Industry
3.4. Water Footprint in Different Stages from Cotton Cultivation to Final Product
3.5. Total Water Footprint of RMG Production
3.6. Water Footprint Calculation for Different Products
3.6.1. Water Footprint of a T-Shirt
3.6.2. Water Footprint for a Shirt
3.6.3. Water Footprint for a Single Bedsheet
3.6.4. Water Footprint for a Pair of Jeans
4. Discussion
4.1. Cotton Cultivation
4.2. Textile Industry
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
Appendix A
Country | Imported Cotton (%) | ||||
---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | |
Uzbekistan | 26 | 25 | 20 | 13 | 13 |
India | 37 | 40 | 40 | 50 | 50 |
East and West Africa | 7 | 13 | 13 | 18 | 18 |
Turkmenistan | 11 | 3 | 3 | 2 | 2 |
USA | 5 | 7 | 7 | 3 | 3 |
Australia | 6 | 3 | 5 | 4 | 4 |
Egypt | 2 | 2 | 3 | 3 | 3 |
Brazil | 2 | 3 | 4 | 4 | 4 |
Pakistan | 4 | 4 | 5 | 3 | 3 |
Country | Imported Cotton Yarn (%) | ||||
---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | |
India | 75.49 | 69.04 | 66.16 | 69.22 | 66.59 |
China | 15.09 | 22.23 | 25.89 | 22.68 | 23.89 |
Pakistan | 8.63 | 7.59 | 7.09 | 7.33 | 7.11 |
USA | 0.06 | 0.15 | 0.17 | 0.14 | 0.65 |
Uzbekistan | 0.39 | 0.69 | 0.33 | 0.11 | 1.21 |
Egypt | 0.32 | 0.29 | 0.37 | 0.52 | 0.54 |
Country | Imported Cotton Woven Fabric (%) | ||||
---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | |
India | 14.42 | 13.63 | 11.76 | 14.07 | 9.48 |
China | 73.20 | 72.13 | 70.05 | 71.11 | 64.38 |
Pakistan | 12.15 | 14.20 | 17.97 | 14.24 | 25.33 |
USA | 0.18 | 0.04 | 0.18 | 0.57 | 0.29 |
Brazil | 0.03 | 0.004 | 0.03 | 0.001 | 0.51 |
Year | Cotton (Metric ton) | Cotton Yarn (Metric ton) | Cotton Woven Fabric (Metric ton) |
---|---|---|---|
2012 | 1,088,623 | 231,901 | 203,793 |
2013 | 1,153,940 | 236,133 | 228,761 |
2014 | 1,175,712 | 247,783 | 255,686 |
2015 | 1,349,892 | 264,432 | 265,830 |
2016 | 1,371,665 | 280,044 | 294,335 |
Country | Seed Cotton Yield (ton/ha) | ||||
---|---|---|---|---|---|
2012 | 2013 | 2014 | 2015 | 2016 | |
Uzbekistan | 2.6447 | 2.5682 | 2.6133 | 2.5985 | 2.6133 |
India | 1.5174 | 1.6165 | 1.6102 | 1.6110 | 1.6201 |
East and West Africa | 1.0003 | 1.0212 | 1.0210 | 1.0200 | 1.024 |
Turkmenistan | 1.1429 | 1.0363 | 1.0364 | 1.0350 | 1.0300 |
USA | 2.7251 | 2.4997 | 2.5886 | 2.5895 | 2.5800 |
Australia | 4.9567 | 5.5315 | 5.4783 | 5.4794 | 5.5000 |
Egypt | 2.9426 | 3.6122 | 3.3859 | 3.399 | 3.4000 |
Brazil | 3.5958 | 3.6201 | 3.7513 | 3.8001 | 3.8501 |
Pakistan | 2.2113 | 2.2724 | 2.3021 | 2.3301 | 2.3500 |
China | 3.2000 | 3.2471 | 3.2941 | 3.3000 | 3.3101 |
Appendix B
Appendix B.1. Blue and Green Water Footprint Calculation Procedure for Cotton Cultivation
- ETo = reference evapotranspiration (mm/day),
- Rn = net radiation at the crop surface (MJ/m2/day),
- G = soil heat flux density (MJ/m2/day),
- T = mean daily air temperature at 2 m heights (°C),
- u2 = wind speed at 2 m height (m/s),
- es = saturation vapor pressure (kPa),
- ea = actual vapor pressure (kPa),
- Δ = slope of saturation vapor pressure curve (kPa/°C) and
- a = psychrometric constant (kPa/°C)
Country | Regions | Percentage |
---|---|---|
India | Gujarat | 30 |
Maharashtra | 23 | |
Punjab | 2 | |
Andhra Pradesh and Telegana | 25 | |
Karnataka | 6 | |
Haryana | 4 | |
Tamil Nadu | 1 | |
Rajasthan | 5 | |
Madhya Pradesh | 6 | |
West and East Africa | Burkina Faso | 19 |
Benin | 15 | |
Mali | 22 | |
Senegal | 3 | |
Cote d’Ivoire | 14 | |
Nigeria | 9 | |
Togo | 7 | |
Uganda | 3 | |
Tanzania | 7 | |
Uzbekistan | Samarkand, Kashkadar, Dzhiak | 36 |
Bukhara | 14 | |
Fergana | 11 | |
Khorezm, Karnapak | 18 | |
Andizhan | 11 | |
Tashkent | 10 | |
Brazil | Mato Grosso | 44 |
Bahia | 23 | |
Goias | 13 | |
Sao Paulo | 6 | |
Mato Grosso do Sul | 6 | |
Minas Gerais | 4 | |
Parana | 3 | |
Turkmenistan | Ahal | 50 |
Mary | 50 | |
Egypt | Cairo | 33 |
Alexandria | 33 | |
Asswan | 33 | |
China | Urumqi | 100 |
Country | Regions | Percentage |
---|---|---|
Bangladesh | Faridpur | 20 |
Jessore | 20 | |
Mymensingh | 20 | |
Khulna | 20 | |
Dinajpur | 20 | |
USA | Texas | 65 |
Georgia | 23 | |
California | 11 | |
Pakistan | Punjab | 75 |
Sindh | 25 | |
Australia | New South Wales | 70 |
Queensland | 30 |
Country | Irrigated | Rainfed |
---|---|---|
Uzbekistan | 100 | 0 |
India | 35 | 65 |
East and West Africa | 1 | 99 |
USA | 75 | 25 |
Pakistan | 100 | 0 |
Brazil | 50 | 50 |
Australia | 90 | 10 |
Egypt | 100 | 0 |
Turkmenistan | 100 | 0 |
China | 98 | 2 |
Bangladesh | 2 | 98 |
Appendix C
Appendix C.1. Crop Data
Crop Parameter | Initial | Development | Mid Season | Late Season | Total |
---|---|---|---|---|---|
Crop coefficient, Kc | 0.35 | - | 1.15 | 0.75 | - |
Stage (days) | 30 | 50 | 55 | 45 | - |
Rooting depth (m) | 0.3 | - | 0.9 | - | - |
Critical depletion fraction | 0.6 | - | 0.6 | 0.6 | - |
Yield response fraction, Ky | 0.5 | 0.5 | 0.6 | 0.3 | 1.5 |
Crop height (m) | - | - | 1 | - | - |
Appendix C.2. Soil Data
Country | State | City | Soil Type | Planting Season |
---|---|---|---|---|
India | Gujarat | Ahmadabad | Sandy loam | June–July |
Bharuch | Sandy loam | |||
Rajkot | Black cotton | |||
Bhavnagar | Black cotton | |||
Surendranagar | Medium black | |||
Maharashtra | Jalagon | Black cotton | June–July | |
Akola | Black cotton | |||
Aurangabad | Deep and medium black | |||
Ahmednagar | Deep and medium black | |||
Amravati | Deep and medium black | |||
Punjab | Ludhiana | Sandy | April | |
Faridkot | Sandy | |||
Andhra Pradesh | Kurnool | Red earth and black cotton | July–August | |
Anantapur | Stony red | |||
Guntur | Black cotton | |||
Prakasam | Red | |||
Karnataka | Raichur | Mixed red and black | June–August | |
Bellary | Deep black | |||
Gulbarga | Black cotton | |||
Bijapur | Black cotton | |||
Hariyana | Hisar | Black cotton | April–May | |
Jind | Sandy loam | |||
Tamil Nadu | Coimabatore | Black cotton, loamy, clayey | August–September | |
Madurai | Black cotton, Loam and clay loam | |||
Salem | Red sandy | |||
Rajasthan | Sri Ganganagar | Medium black | April–May | |
Ajmer | Medium black, red sandy loam | |||
Madhya Pradesh | Sanawad | Black cotton | June–July | |
Khargone | Black cotton |
Region of African Continent | Country | City | Soil Type | Planting Season |
---|---|---|---|---|
West Africa | Burkina Faso | Bobo | Loamy sand, clay loam | May–June |
Boromo | Loamy sand, clay loam | |||
Fada N’Gourma | Loamy sand, clay loam | |||
Ouagadougou | Loamy sand, clay loam | |||
Benin | Parakou | Silty clay loam | May–June | |
Nattingou | Silty clay loam | |||
Bohicon | Silty clay loam | |||
Kandi | Silty clay loam | |||
Mali | Bamako | Sandy loam | June–July | |
Segou | Sandy loam | |||
Sikasso | Sandy loam | |||
Senegal | Kedougou | Medium | June–July | |
Ziguinchor | Medium | |||
Kolda | Medium | |||
Cote d’Ivoire | Korhogo | Sandy | May–July | |
Ferkessedougou | Sandy | |||
Nigeria | Katsina | Reddish brown | May–June | |
Kaduna | Reddish brown | |||
Kano | Reddish brown | |||
Bauchi | Reddish brown | |||
Togo | Loam | Sandy loam, silty loam | May | |
Uganda | Gulu | Sandy, sandy loam | May–June | |
Kitgum | Sandy, sandy loam | |||
Lira | Sandy | |||
Masindi | Sandy, sandy loam | |||
Mbale | Sandy loam | |||
East Africa | Tanzania | Simiyu Bariadi | Sandy clay, clayey | December |
Shinyanga | Shallow red clay, shallow black cotton | |||
Mwanza | Sandy |
Country | City | Soil Type | Planting Season |
---|---|---|---|
Uzbekistan | Bukhara | Silty clay loam | March–April |
Fergana | Silty clay loam | ||
Khorezm | Hard and loamy | ||
Andizhan | Sandy loam | ||
Tashkent | Silty clay loam | ||
Samarkand | Silty clay loam | ||
Kashkadar | Silty clay loam | ||
Dzhiak | Silty clay loam | November–January | |
Brazil | Mato Grosso | Sandy loam | |
Bahia | Sandy loam | ||
Goias | Clay | ||
Sao Paulo | Sandy loam | ||
Parana | Clay | ||
Mato Grosso do Sul | Clay | ||
Minas Gerais | Clay | ||
Turkmenistan | Ahal | Sandy desert | March |
Mary | Sandy desert | ||
Egypt | Cairo | Alluvial | September–November |
Alexandria | Alluvial | ||
Asswan | Alluvial | ||
China | Urumqi | Silt loam | March–May |
Bangladesh | Faridpur | Clay loam | May–June |
Jessore | Clay loam | ||
Khulna | Sandy loam | ||
Mymensingh | Sandy loam | ||
Dinajpur | Sandy loam |
Country | State | City | Soil type | Planting Season |
---|---|---|---|---|
USA | Texas | Amarillo | Loamy sand, loamy | May–June |
Lubbock | Clayey | |||
El Paso | Clay loam | |||
Abilene | Sandy loam, loamy | |||
Georgia | Macon Lewis | Loamy sand | March–May | |
Savannah | Loamy sand | |||
California | Fresno | Sandy loam | March | |
Pakistan | Punjab | Bahawalpur | Laom | May–June |
Rahimyar Khan | Clay loam | |||
Multan | ||||
Sindh | Sanghar | Sandy clay loam | March–April | |
Khairpur | Sandy clay loam | |||
Ghotki | Sandy clay loam | |||
Australia | New South Wales | Namoi | Clay | September–October |
Macquarie Valley | Clay | |||
Queensland | St. George | Clay | September–October |
Soil Type | Total Available Moisture, mm/m | Maximum Infiltration Rate, mm/day | Maximum Rooting Depth, cm | Initial Available Moisture, mm/m |
---|---|---|---|---|
Light soil | 60 | 40 | 90 | 60 |
Medium soil | 290 | 40 | 90 | 290 |
Heavy soil | 200 | 40 | 90 | 200 |
Red sandy | 100 | 30 | 90 | 100 |
Red loamy | 180 | 30 | 90 | 180 |
Red sandy loam | 140 | 30 | 90 | 140 |
Appendix D
Appendix D.1. Fertilizer Application Rate
Country | Average Fertilizer Application Rate, kg/Ha |
---|---|
N | |
Uzbekistan | 210 |
India | 66 |
East and West Africa | 35 |
USA | 120 |
Pakistan | 180 |
Brazil | 40 |
Australia | 121 |
Egypt | 54 |
Turkmenistan | 210 |
China | 120 |
Bangladesh | 130 |
Appendix E
Raw Material | Knit Fabric (%) | Woven Fabric (%) |
---|---|---|
Imported raw cotton | 57 | 38 |
Domestically produced raw cotton | 57 | 38 |
Imported cotton yarn | 40 | 60 |
Imported cotton woven fabric | 0 | 100 |
Appendix F
Type of Pollution Load | Actual Concentration in Groundwater, cact (ppm) | Natural Concentration of Surface Water, cnat (ppm) | Ambient Water Quality Standard, cmax (ppm) |
---|---|---|---|
BOD | 3 | 5 | 50 |
COD | 10 | 15 | 200 |
Appendix G
Stages in Textile Industry | Number of Workers |
---|---|
No. of farmers | 8/acre |
Yarn manufacturing | 40/ton |
Yarn dyeing | 30/ton |
Fabric manufacturing | 100/3 ton |
Fabric washing | 100/13.5 ton |
Fabric dyeing, printing and finishing | 10/ton |
Water KPI, L/day | 30/person |
Water abstract (intake), L/day | 31.5/person |
Appendix H
Country | Time (Traveled by Sea): Days |
---|---|
Uzbekistan | 22.58 |
India | - |
East and West Africa | 27.88 |
USA | 23.5 |
Pakistan | 4.54 |
Brazil | 22.83 |
Australia | 8.46 |
Egypt | 7.96 |
Turkmenistan | 23.5 |
China | 6.88 |
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Hossain, L.; Khan, M.S. Water Footprint Management for Sustainable Growth in the Bangladesh Apparel Sector. Water 2020, 12, 2760. https://doi.org/10.3390/w12102760
Hossain L, Khan MS. Water Footprint Management for Sustainable Growth in the Bangladesh Apparel Sector. Water. 2020; 12(10):2760. https://doi.org/10.3390/w12102760
Chicago/Turabian StyleHossain, Laila, and Mohidus Samad Khan. 2020. "Water Footprint Management for Sustainable Growth in the Bangladesh Apparel Sector" Water 12, no. 10: 2760. https://doi.org/10.3390/w12102760
APA StyleHossain, L., & Khan, M. S. (2020). Water Footprint Management for Sustainable Growth in the Bangladesh Apparel Sector. Water, 12(10), 2760. https://doi.org/10.3390/w12102760