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Water Efficiency at Formosa Taffeta Changshu

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Water Efficiency at Formosa Taffeta Changshu

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Amazon
Area: 5888268 km2
Countries:
Brazil; Peru; Suriname; France; Colombia; Guyana; Bolivia; Venezuela; Ecuador
Cities:
Santa Cruz; Manaus; La Paz
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Countries: India
Basins: Bay of Bengal (254) (Krishna), Ganges
Project SDGs:
Includes Sustainable Development Goals from the project and its locations.
Sustainable Production (SDG 12.4)
Project Tags:
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Water Recycling and Reuse
Progress to Date: 42% Reduction in water usage
Services Needed: Financial support
Desired Partner: Investor
Language: English
Start & End Dates: Jan. 01, 2021  »  Dec. 31, 2024
Project Website: ungc-production.s3.us-west-2.amazonaws.com/attachments/cop_2...
Contextual Condition(s): DATA: Limited data access and/or availability to understand river basin conditions
Additional Benefits: Long-term partnership(s) created
Beneficiaries: Local communities / domestic users
Planning & Implementation Time: More than 3 years
Primary Funding Source: pool
Project Challenges: RESOURCES: Lack of financial resources
Project Source: CEO Water Mandate
Profile Completion: 87%

Project Overview

In FY17, Formosa Taffeta Changshu, a materials vendor, was near the bottom of our global ranking in terms of freshwater efficiency. Considering all freshwater use (rather than just for dyeing and finishing), its FY16 baseline was 205 liters of freshwater per kilogram of dyed and finished fabric, making it one of the least efficient water users in the scope of this target. When we brought this to its attention, the facility committed to making a change. By the end of FY19, a …

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In FY17, Formosa Taffeta Changshu, a materials vendor, was near the bottom of our global ranking in terms of freshwater efficiency. Considering all freshwater use (rather than just for dyeing and finishing), its FY16 baseline was 205 liters of freshwater per kilogram of dyed and finished fabric, making it one of the least efficient water users in the scope of this target. When we brought this to its attention, the facility committed to making a change. By the end of FY19, a wastewater recycling system had been installed with commercially available ultrafiltration and reverse osmosis, culminating in an immediate improvement in freshwater efficiency. By the end of FY20, freshwater use was 119 liters per kilogram, a 42% reduction from the baseline. Not only did Formosa Taffeta significantly reduce its freshwater use, but the facility was also fully compliant with the Zero Discharge of Hazardous Chemicals (ZDHC) Wastewater Guideline Ð an achievement which many in the textile industry still do not believe is possible, as increased water efficiency results in more concentrated wastewater
Basin and/or Contextual Conditions: DATA: Limited data access and/or availability to understand river basin conditions
Project Benefits: Long-term partnership(s) created
Indirect or Direct Beneficiaries: Local communities / domestic users
Months & Implementing: More than 3 years
Primary Funding Source: Pool funding (i.e., joint funding of several partners)
Challenges: RESOURCES: Lack of financial resources

Project Narrative

We propose a broad approach to help communities create data driven, science-based water security plans. NGOs (who are also the designated implementation partners for Atal Bhujal Yojana) and community based organisations typically have in-house staff with basic GIS expertise, but lack staff on data analytics or software programming. We propose to address this by investments in creating a Òknowledge commonsÓ. Common assets -- datasets and map layers, both primary and secondary. Making pre-digested data layers available e.g. to diagnose the water balance will help communities avoid having to write specialised software code. Common protocols -- common metadata /guidelines on how to gather and store data on common watershed features like water bodies, streams, infrastructural assets etc. Common tools -- We will develop tools, specifically a QGIS plug-in to pull in data from various public databases, that will allow communities to access Òpre-digestedÓ data layers in order to diagnose the water balance without having to write software code. Common courses -- online and offline training material walking people through how to use data to make decisions for water security planning. These training materials will walk people step-by-step through the process of accessing data, diagnosing the problem and identifying appropriate interventions. We hope to deploy these training in partnership with Arghyam, an Indian Philanthropic organisationsÕ, water sector capacity building platform. Overall, we will train 100 NGOs and have 1000 data driven water security plans made using this tool, by partnering with existing government programs.

Partner Organizations


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Heather Rippman
Primary Contact  

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