Organization of Environmental Monitoring of the Port Water Area by Processing an Anti-Interference Signal from a Vessel Traffic Control System

With social development and population growth, people's demands for quality of life and quality of life are increasing, and higher requirements for drinking water safety have been put forward. Therefore, it is important to study and establish WE pollution loss assessment models for WE management work and reasonable economic policy formulation. However, most of the traditional models use a single factor as the input variable to assess the trend of pollutant concentration and the intensity of pollutant discharge; while the WE pollution loss assessment method based on energy value analysis theory uses a single factor as the input variable for energy value analysis to assess the intensity and concentration of pollutant discharge, but this method cannot handle multi-factor and multi-variable data, and can only use the fuzzy mathematics in However, this method cannot handle multi-factor and multi-variable data, and can only use fuzzy mathematics to evaluate and calculate the model; and it cannot deal with the non-linear relationship between multiple pollutants and single pollutant concentration at the same time. Therefore, in order to better solve the above problems, this paper proposes a neural network (NN) model based on the regional WE pollution loss energy assessment method; the method uses NNs to assess the energy value of a single factor; at the same time, the energy value of the regional pollution economic value is calculated to obtain the average energy value of the whole region; finally, the weighted average method is used to calculate the corresponding weighted average energy value of each unit and pollutant discharge intensity and other information. Finally, the weighted average method is used to calculate the weighted average energy value and the pollutant emission intensity of each unit. Compared with traditional methods, this method is not only better able to deal with multi-source data problems and non-linear relationships, but also more efficient in solving complex problems.

Section: Methods For Quantifying the Carrying Capacity Of The Water E...mentioning

confidence: 99%

A Neural Network-based Approach for Assessing the Energy Value of Regional Water Environment Pollution Losses and Its Application

2023

“…As local grassroots governments often establish staff, finance and various environmental protection assessments, environmental protection departments should choose to be responsible for local governments. In other words, in WP prevention, the Ministry of Environmental Protection often considers not only WP prevention, but also the overall development of local economy, which reduces the efficiency of WP prevention [15][16].…”

Section: Problems In Wp Preventionmentioning

confidence: 99%

“…(3) Insufficient public participation and lack of mass foundation Public participation in WP prevention and control should be a spontaneous act of public and social organizations. However, based on the actual situation of City A, the integration of social forces into WP prevention is mostly from top to bottom [16]. It is difficult for citizens to do a good job of supervision, and their actions have no initiative or position.…”

Section: Problems In Wp Preventionmentioning

confidence: 99%

Urban Water Pollution Prevention and Protection Based on Convolutional Neural Network

2022

Although China's urbanization is developing rapidly and people's quality of life has been greatly improved, the water environment of people's life is getting worse and worse. Water pollution (WP) has become a major environmental problem endangering people's daily life. Water is an indispensable resource in people's daily life. People should cherish our limited water resources and strengthen the protection of water resources. Therefore, this paper deeply analyzes the current situation of WP in A city, and combines convolutional neural network (CNN) to simulate the morphological characteristics of pollutants in water. Through this study, it is found that the industrial pollution in City A has the greatest impact on the water environment. The industrial pollutants are directly discharged into the river basin, resulting in an increase in the content of COD, ammonia nitrogen and TP in the water body. In addition, there are problems in the prevention and control of WP in City A, such as weak government supervision, weak prevention and control willingness, and low participation of citizens in the prevention and control of WP. Therefore, this paper puts forward corresponding water resources protection suggestions, I hope it can provide reference for WP control in other cities.

“…For City T, the construction of pumping stations, pressure pipelines and sewerage networks is key compared to the construction of additional sewage treatment stations. Only when the wastewater is pressurised, intercepted and transported to the sewage treatment plant, can the wastewater be collected and treated as much as possible, forming a closed-loop management of sewage treatment [12][13].Supporting infrastructure such as water, electricity, heat, gas and roads have been weak in City T. Rapid urbanisation and large-scale economic development have created urban geographic disparities that not only constrain the current carrying capacity of the territory, but will also affect the future sustainable development [14]. At present, although investments in the prevention and control of urban WP are increasing year by year, they must be supported by city governments as they require extensive construction and city financial resources cannot afford the full cost of building supporting facilities.…”

Section: Construction Of Sewage Collection Networkmentioning

confidence: 99%

Efficient Nonlinear Optimization Algorithm Based on Water Pollution Prevention System

2022

Due to the emergence of water pollution (WP) problems in many places, these problems have not been completely solved and WP incidents still occur from time to time. Therefore, carrying out WP prevention and control work and solving WP problems have become important topics of discussion and research for relevant scholars. In this paper, an efficient non-linear optimisation algorithm is used to establish a water quality model, which can be used to assess the regional water quality conditions. This paper uses an efficient nonlinear optimization algorithm (ENOA) to establish a water quality model, which can be used to assess the regional water quality conditions. Through the analysis of the industrial and domestic production of sewage discharge in T city, the problems and suggestions of WP control in T city are put forward, hoping to improve the water environment and people's living standard in T city through scientific and reasonable development of WP prevention and control scheme in T city.