The paper describes briefly the process performance and the reuse potential of a laboratory scale wastewater treatment system. The treatment involves enhanced primary treatment of Vellore Institute of Technology (VIT) campus sewage using ferric chloride as a coagulant, anaerobic digestion of coagulated organics, and biofilm aerobic process. The treated effluent after disinfection (using sunlight and chlorine) was used for irrigation of Tagetes erecta (marigold) plants and the plant growth parameters were evaluated for a life span of 3 months. In the primary treatment, an optimum ferric chloride dose of 30 mg/L could remove turbidity, chemical oxygen demand (COD), biochemical oxygen demand (BOD), and bacterial count (Escherichia coli) of 69%, 60%, 77%, and 55%, respectively. The coagulated organics could digest in a 25 L anaerobic reactor effectively with methane content in biogas varied between 50 and 60% and enhanced volatile suspended solids (VSS) reduction up to 70%. Sunlight based photo-oxidation followed chlorine disinfection saved 50% of the chlorine dose required for disinfection and treated effluent was fit for reuse. The results of growth parameters for Tagetes erecta plants indicate that anaerobically digested sludge is an excellent soil conditioner cum nutrient supplier. The results of this study exhibit a promising reuse potential of a decentralized wastewater treatment system and needs to be promoted for field scale applications.
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http://dx.doi.org/10.2166/wst.2020.046 | DOI Listing |
Data Brief
February 2025
Universidade da Coruña, CITIC Research Center, A Coruña 15071, Spain.
This paper presents a synthetic dataset of labeled game situations in recordings of federated handball and basketball matches played in Galicia, Spain. The dataset consists of synthetic data generated from real video frames, including 308,805 labeled handball frames and 56,578 labeled basketball frames extracted from 2105 handball and 383 basketball 5-s video clips. Experts manually labeled the video clips based on the respective sports, while the individual frames were automatically labeled using computer vision and machine learning techniques.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China.
Electric vehicles (EVs) are crucial for addressing the intertwined challenges of climate change and air pollution. The multiaspect benefits of EVs are highly dependent on local climate conditions, yet the impacts of regional heterogeneity in the context of future climate change remain unclear. Here, we develop a systemic modeling framework integrating fleet modeling, emission projection, index decomposition analysis, and detailed cost assessment to identify local drivers and potential trade-offs behind electrification.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Xiamen University of Technology, Software Engineering, 600 Ligong Road, Xiamen, China, 350108.
Purpose: This study aims to develop an accurate image registration framework for personalized respiratory motion modeling.
Methods: The proposed framework incorporates longitudinal data through a two-stage transfer learning approach. In the first stage, transfer learning is employed on longitudinal data collected from the same device.
BJC Rep
January 2025
School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Single-use plastics (SUPs) are used widely in cancer research laboratories. They are cheap, durable, and lightweight, and until now have been considered disposable items. This, however, contributes significantly to unsustainable waste production.
View Article and Find Full Text PDFCarbohydr Polym
March 2025
State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, China. Electronic address:
Enzymatic catalysis offers notable advantages, including exceptional catalytic efficiency, selectivity, and the ability to operate under mild conditions. However, its widespread application is hindered by the high costs associated with enzymes and cofactors. Materials-mediated immobilization technology has proven effective in the recycling of enzymes and cofactors.
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