Research into advanced water and wastewater treatment

先进水和废水处理研究

• 批准号: 1010-2006
• 负责人: Smith, Daniel
• 金额: $ 7.23万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=388383
• 关键词: Research; into; advanced; water; wastewater

The proposed research pursues four areas in the field of environmental engineering: 1. microorganism reduction (MOR), endocrine disrupting compounds(EDC) and prion destruction, 2. membrane integrity in relation to water and wastewater treatment, 3. development of a new fungal based nitrogen (N) and phosphorus (P) treatment system, and 4. application of artificial neural networks (ANN) and remote sensing to water quality modeling in forestry management areas. 1. MOR, EDC and prion destructionusing ozone, advanced oxidation and UV.  This research will look at methods to destroy the pathogens or toxic compounds in water,  wastewater and agricultural waste treatment. The short-term objective is to continue to develop better understanding of process fundamentals and to improve the fundamental knowledge about the application of the processes to the target reactions. The long-term objective is to reduce the risks associated with these materials in water and wastewater. 2. Membrane integrity assurance is critical to insure acceptable MOR. The short-term objective is to develop a reliable monitoring process. The long-term objective is to develop an understanding of the effects of environmental stress on performance and integrity of membranes. 3. The continued development of the fungal N and P treatment technology is very important to the wastewater treatment industry. The new technology represents a significant change in design and operation in terms of simplification as well as reduction in operational costs. The short-term objective is the continued investigation of the process fundamentals. The long-term objective is to produce a better carbon, N and P reduction process with a lower operating cost.  4. Application of ANN and remote sensing to water quality modeling has a short-term objective to develop better methods of predicting quantities and qualities of water as a result of land disturbances. The long-term objective is to produce systems that will provide a better management tool for predicting changes in water quantity and quality.

这项研究涉及环境工程领域的四个方面：1.微生物减少(MOR)、内分泌干扰化合物(EDC)和蛋白破坏；2.与水和废水处理有关的膜完整性；3.基于真菌的氮(N)和磷(P)处理系统的开发；4.人工神经网络(ANN)和遥感在林业管理区水质模拟中的应用。1.利用臭氧、高级氧化和紫外线破坏MOR、EDC和Prion。*这项研究将寻找破坏水、废水和农业废物处理中病原体或有毒化合物的方法。短期目标是继续加深对过程基本原理的理解，并提高将过程应用于目标反应的基础知识。长期目标是降低水和废水中与这些材料相关的风险。2.膜的完整性保证是确保可接受的MOR的关键。短期目标是制定一个可靠的监测程序。长期目标是了解环境压力对膜的性能和完整性的影响。3.真菌氮磷处理技术的持续发展对污水处理行业具有十分重要的意义。这项新技术在简化和降低业务成本方面代表着设计和操作方面的重大变化。短期目标是继续调查过程的基本原理。长期目标是以较低的运行成本产生更好的碳、氮和磷减少过程。4.将人工神经网络和遥感应用于水质建模的短期目标是开发更好的方法来预测由于陆地干扰而产生的水量和水质。长期目标是建立系统，为预测水量和水质的变化提供更好的管理工具。