Research into advanced water and wastewater treatment

拟建的研究方向为环境工程领域的四个方面：1。微生物还原（MOR），内分泌干扰化合物（EDC）和朊病毒破坏；膜完整性与水和废水处理的关系，2。3 .开发一种新的真菌型氮磷处理系统；人工神经网络（ANN）与遥感技术在林业经营区域水质模拟中的应用。1. 利用臭氧、高级氧化和紫外线对MOR、EDC和朊病毒进行破坏。这项研究将着眼于在水、废水和农业废物处理中破坏病原体或有毒化合物的方法。短期目标是继续发展对工艺基础的更好理解，并提高将工艺应用于目标反应的基本知识。长期目标是减少与水和废水中这些物质相关的风险。2. 膜完整性保证是确保可接受的MOR的关键。短期目标是建立一个可靠的监测过程。长期目标是了解环境压力对膜性能和完整性的影响。3. 真菌氮磷处理技术的不断发展对污水处理行业具有重要意义。这项新技术代表了设计和操作方面的重大变化，简化了作业，降低了作业成本。短期目标是继续研究过程的基本原理。长期目标是生产一种更好的碳、氮、磷还原工艺，同时降低运行成本。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扰动而导致的水量和水质。长期目标是建立一个系统，为预测水量和水质的变化提供更好的管理工具。

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.