A Dimensionality-Reducible Operational Optimal Control for Wastewater Treatment Process.

Operational optimal control (OOC) is an essential component of wastewater treatment process (WWTP). The control variables usually are high-dimensional, nonlinear, and strongly coupled, which can easily fail traditional optimization control methods. Mathematically, these operational variables usually are in the unknown low-dimensional space embedded in the high-dimensional space. Therefore, the OOC problem of WWTP can be resolved as an optimization challenge involving low-dimensional space, and the unknown low-dimensional space is presented in the form of a set of controlled variables in a high-dimensional space, which is normal in real-world industries. Here, a dimension-reducible data-driven optimization control framework for WWTP is proposed. Considering the difficulty in elucidating the whole space of set points, a neural network is designed to approximate the constraint relationship between control variables. The search process is based on optimization methods in low-dimensional space embedded into Euclidean spaces. Furthermore, the convergence of the process is ensured via mathematical analysis. Finally, the experimental simulation of wastewater treatment revealed that this approach is effective for an optimal solution in control systems.

Response of activity and community composition of nitrite-oxidizing bacteria to partial substitution of chemical fertilizer by organic fertilizer.

Nitrite oxidation as the second step of nitrification can become the determining step in disturbed soil systems. As a beneficial fertilization practice to maintain high crop yield and soil fertility, partial substitution of chemical fertilizer (CF) by organic fertilizer (OF) may exert a notable disturbance to soil systems. However, how nitrite oxidation responds to different proportions of CF to OF is still unclear. We sampled soils from a 4-year field experiment subject to a gradient of increasing proportions of OF to CF application. Activity, size, and structure of Nitrospira-like and Nitrobacter-like nitrite-oxidizing bacteria (NOB) community were measured. The results revealed that with increasing proportion of OF to CF application, potential nitrite oxidation activity (PNO) showed a marked decreasing trend. PNO was significantly correlated with the abundance of Nitrobacter-like but not Nitrospira-like NOB. The abundance of Nitrobacter-like was significantly influenced by soil organic matter, organic nitrogen (N), and available N. In addition, PNO was also affected by the structure of Nitrobacter-like NOB. The relative abundance of Nitrobacter hamburgensis, alkalicus, winogradskyi, and vulgaris responded differently to the proportions of OF to CF application. Organic N, organic matter, and available N were the main factor shaping their community structure. Overall, Nitrobacter-like NOB is more sensitive and plays a more important role than Nitrospira-like NOB in responding to different proportions of OF to CF application.