[Mainland China] Shanxi Changzhi Issues Reclaimed Water Utilization Action Plan: Urban Reclaimed Water Utilization Rate to Exceed 45% by End of 2026
Changzhi's Reclaimed Water Utilization Action Plan targets over 45% urban reclaimed water utilization by end-2026, full industrial use, and a reclaimed water rights trading mechanism.
[Malaysia] Malaysia's Top Glove Launches Tender for F24WT Reclaimed Water Treatment Plant Retrofit Project
Top Glove has tendered its F24WT reclaimed water treatment plant retrofit in Malaysia, covering design, equipment supply, installation, and commissioning for glove-plant wastewater reuse.
[Mainland China] 2026 Shanghai Water Industry Hotspot Forum Spotlights '15th Five-Year Plan' Water Efficiency; Domestic High-Flux Low-Energy MBR Membranes Solve Upgrade and Energy Challenges
The 2026 Shanghai Water Industry Hotspot Forum spotlighted '15th Five-Year Plan' water efficiency; Jinkunpeng's high-flux QCOM MBR membrane boosts flux 60%+ and extends cleaning cycles 50%-100%.
[Mainland China] Hebei Launches Water Environment Treatment Campaign: Urban Wastewater Plants to Meet Enhanced Grade 1A, 127 Parks to Achieve Zero Direct Discharge by End of 2026
Hebei has issued its Provincial Water Environment Treatment Campaign (2026–2027), requiring enhanced Grade 1A for urban wastewater plants and zero direct discharge for 127 key industrial parks by end-2026.
[Mainland China] Anhui Accelerates Urban Reclaimed Water Utilization: Suzhou Among First 19 National Pilot Cities, Printing and Dyeing Wastewater Reuse Rate No Less Than 30%
Anhui accelerates reclaimed water utilization as Suzhou joins China's first 19 regional reclaimed-water recycling pilots, with a 30% minimum printing and dyeing wastewater reuse rate.
[Mainland China] AI Large Models Accelerate into Wastewater Plants: Precision Aeration Saving 25%+ Power and Effluent Quality Warnings 2-4 Hours Ahead Emerge as the 2026 Technology Mainline
In 2026, AI is the mainline of smart wastewater operations: precision aeration saves 25%+ power, predictive maintenance flags faults 7-30 days ahead, and AI predicts exceedances 2-4 hours in advance.