2 results about "Coastal plain" patented technology

The application discloses a kind of dispersing water supplementing devices for coastal plain river network direct ammonia oxidation denitrification of reclaimed water, including the pretreatment tank, direct ammonia oxidation device and water supplementing device connected in sequence, the upper electrode and lower electrode with longitudinal alignment hole are horizontally arranged in funnel-shaped desalination settlement area of the bottom of pretreatment tank, aeration disc is arranged at the top of desalination settlement area, flocculating agent storage tank is arranged in the upper part of pretreatment tank, its injection pipe is immersed below water surface, desalination settlement area is connected with direct ammonia oxidation device by communicating pipe, and the filler filled with direct ammonia oxidation microorganism is filled in the inside of direct ammonia oxidation device, the bottom of direct ammonia oxidation device is connected with water supplementing device, and water supplementing device is connected with a plurality of primary water distribution branch pipes through water distribution main pipe.The device can realize the maximization of direct ammonia oxidation unit denitrification efficiency through water supplementing front end pretreatment and water supplementing tail end treatment, and the maximization of coastal plain river network water supplementing benefit is realized through the designed dispersing water supplementing device.

The invention relates to a digital twinborn-based coastal plain river network water quality management system, and the system comprises a collection module which collects river health data, pollution source data and basic geographic data; the field drainage basin geographic information construction module is used for constructing a map of a coastal plain river network based on the basic geographic data by utilizing a GIS (Geographic Information System), and integrating river health data and pollution source data to obtain a GIS map; the river health evaluation and prediction module is used for performing fusion prediction and evaluation on the river health data based on an AM-TCN-LSTM river health evaluation and prediction model; the traceability analysis module performs traceability analysis based on the pollution source data; and the visual display module is used for carrying out visual display on the river health prediction evaluation result and the traceability analysis result. According to the method, expansion convolution of TCN is naturally provided with multi-scale adaptability, an LSTM gating mechanism is high in noise immunity, and dynamic weighting of AM is used for further reducing invalid feature interference, so that the accuracy of water quality prediction and the reliability of the model are effectively improved.