The Luan River is one of the main rivers entering the Bohai Sea, and the Baohe River is a major tributary of the Luan River. Determining the contribution of pollution sources in the watershed where the upstream river enters the sea is a prerequisite for formulating environmental management measures in the sea area. Facts have proved that the model is an effective tool to determine the main environmental targets, especially in the analysis of pollution sources in the watershed. This paper uses the General Watershed Load Function (GWLF) model to simulate the monthly streamflow, dissolved nitrogen (DisN) load and dissolved phosphorus (DisP) load in the Baohe River Watershed from 2006 to 2014, and the contribution ratio of each pollution source in the source allocation of nitrogen and phosphorus load is emphasized. The application of the model shows the effectiveness of planning nitrogen and phosphorus management strategies for decision-makers, and provides a certain decision-making reference for pollution control in the watershed into the sea.
Conventional ship mooring in ports has many shortcomings such as a high safety risk, low efficiency and high labor intensity. In order to explore and develop the theory and key technologies of intelligent automatic mooring systems, this paper takes an intelligent mooring system based on a parallel anti-rolling mechanism as the research and development object. A new mooring method integrating ship hydrodynamics, mechanism kinematics and intelligent algorithms is proposed. Through numerical simulation and comparative analysis of the model, the motion inhibition effect of mooring ships under different working conditions is obtained. The results show that the control strategy and intelligent algorithm of the system can realize the active control of the wharf mooring ships and achieve the goal of improving wharf stability conditions through an intelligent mooring system.
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