Accurate Long-term Continuous Water Quality Monitoring for Advancing Resource Recovery in Wastewater Systems
Digital Document
Document
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Handle
http://hdl.handle.net/11134/20002:860705943
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Persons |
Persons
Creator (cre): Huang, Yuankai
Major Advisor (mja): Li, Baikun
Associate Advisor (asa): Bagtzoglou, Amvrossios C.
Associate Advisor (asa): Brückner, Christian
Associate Advisor (asa): McCutcheon, Jeffery R.
Associate Advisor (asa): Lei, Yu
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Title |
Title
Title
Accurate Long-term Continuous Water Quality Monitoring for Advancing Resource Recovery in Wastewater Systems
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Origin Information
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Parent Item
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Resource Type |
Resource Type
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Digital Origin |
Digital Origin
born digital
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Description |
Description
Securing water safety, protecting human health, and ensuring energy efficiency and resource recovery have become high priorities in water and wastewater processes. Accomplishing these goals requires long-term continuous monitoring (LTCM) of water quality to evaluate the variation of water status, which can provide spatiotemporal data analysis of diverse parameters and enabling operation of water and wastewater treatment processes in an energy-saving and cost-effective manner. However, current water monitoring technologies are deficient at long-term accuracy in data collection and processing capability. Inadequate LTCM data impedes water quality assessment and hinders the stakeholders and decision makers from foreseeing emerging problems and executing efficient control methodologies. Potentiometric sensors made of solid-state ion-selective electrodes (S-ISE) have become an intriguing sensing platform capable of LTCM of water quality. However, numerous factors such as lipophilic additives leaching, aqueous layer formation and biofouling can affect the S-ISE sensors' LTCM performance in the water systems. To tackle these challenges, this study unveils an innovative LTCM methodology by integrating advanced materials such as electrospray selfassemble channel-type zwitterionic copolymer and zeolitic imidazolate framework-8 with sensor data processing. The new type of NH4+ S-ISE sensors were examined in real wastewater consecutively, exhibiting sensitivity close to the theoretical value (59.18 mV/dec) and the long-term stability (error < 1.2 mg/L) after 50 days of real wastewater analysis. Such groundbreaking results pose an enormous potential towards LTCM of waste streams and enhance treatment efficiency with lower energy consumption and less green house gas emission. Currently, almost all anaerobic digestion (AD) systems use centrally stirred mixing where the flow is essentially rotated uniformly in the radial direction with the high mixing energy requirement. This study focuses on the enhancement of biogas production and organic removal efficiency in AD systems through a novel chaotic mixing regime. Compared with centrally stirred mixing, eccentrically stirred mixing enhanced the interaction of flow and biomass particles and ultimately enhanced the biogas production and organic removal in AD systems. In addition, LTCM dataset achieved by innovative sensors shows potential to illuminate complex interactions among various parameters and maintain stable biogas production under system fluctuations and shocks in AD system.
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Genre
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Organizations |
Organizations
Degree granting institution (dgg): University of Connecticut
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Use and Reproduction |
Use and Reproduction
These Materials are provided for educational and research purposes only.
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Note |
Note
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Degree Name |
Degree Name
Doctor of Philosophy
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Degree Level |
Degree Level
Doctoral
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Degree Discipline |
Degree Discipline
Environmental Engineering
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Local Identifier |
Local Identifier
S_26000302
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