Research into advanced water and wastewater treatment

本研究在环境工程学领域中主要探讨四个方面：1。微生物减少（莫尔）、内分泌干扰化合物（EDC）和朊病毒破坏，2.与水和废水处理有关的膜完整性，3.开发一种新的基于真菌的氮（N）和磷（P）处理系统，以及4.人工神经网络（ANN）和遥感在林业管理区水质建模中的应用。1.莫尔，EDC和朊病毒破坏使用臭氧，高级氧化和紫外线。 这项研究将着眼于破坏水，废水和农业废物处理中的病原体或有毒化合物的方法。短期目标是继续加深对工艺基本原理的理解，并提高对将工艺应用于目标反应的基本知识。长期目标是降低水和废水中与这些材料相关的风险。2.膜完整性保证对于确保可接受的莫尔至关重要。短期目标是建立一个可靠的监测程序。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。新技术在简化和降低运营成本方面代表了设计和运营的重大变化。短期目标是继续调查工艺基本原理。长期目标是以更低的运营成本生产更好的碳、氮和磷减排工艺。 4.人工神经网络和遥感技术在水质建模中的应用，其短期目标是开发更好的方法来预测陆地扰动造成的水的数量和质量。长期目标是建立系统，为预测水量和水质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.