DYNAMIC MODELING OF STREAM QUALITY BY INVARIANT IMBEDDING1

ABSTRACT. The estimator equations obtained using invariant imbedding is used to estimate the parameters in river or stream pollution. By using these equations, the parameters can be estimated directly from differential equations representing the pollution model and from measured noisy data such as BOD and DO. Another advantage of this approach is that a sequential estimation scheme is obtained. By using this sequential scheme, only current data are needed to estimate current or future values of the unknown parameters. Consequently, a large amount of computer time and computer memory can be saved. Furthermore, not only the parameters but also the concentrations of pollutants can be estimated. Thus, it also forms an effective forecasting technique. The classical least squares criterion is used in the estimation. Several examples are solved to illustrate the technique. (KEY WORDS: dynamic modeling; water pollution; invariant imbedding; forecasting; least squares criterion; estimation)     

羧甲基—β—环糊精的合成及对卤代芳烃的增溶研究

本文报道了羧甲基－β－环糊精的一种简便合成方法,并研究了羧甲基－β－环糊精对卤代芳烃类化合物的增溶作用。羧甲基－β－环糊精能与水以任意比例互溶其水溶液对卤代芳烃有明显的增溶作用。增溶作用的大小主要与卤代芳烃的疏水性及分子的几何形状与环糊精空腔的匹配程度有关。     

Methanogenic diversity changes in full-scale anaerobic digesters by co-digestion of food waste and sewage sludge

Journal of Material Cycles and Waste Management - This study aims to investigate the methanogenic community of anaerobic mono-digestion of sewage sludge (SL-digester) and co-digestion of sewage...