Water quality testing is of great importance in controlling water pollution, water resource protection and water resource health. Using the theories and methods of environmental science, in the better use of natural resources at the same time, in-depth understanding of the root causes of pollution and damage to the environment and harm, planned to protect the environment, to prevent the deterioration of environmental quality, and to control the Environmental Pollution , promote the coordinated development of human beings and the environment, improve the quality of human life, and protect human health, therefore, the modeling group set up a model to assess the water quality.
Principal Component Analysis (PCA) was conducted using SPSS software to pre-process the data collected on each of the influencing factors of the rivers entering the sea in Fujian, and the processed data were subjected to Principal Component Analysis (PCA). Principal component analysis utilizes dimensionality reduction techniques to replace the original multiple variables with a few composite variables that concentrate most of the information of the original variables. The objective economic phenomena are scientifically evaluated by calculating the composite principal component function score. The river principal component analysis model for this project is highly accurate.
The principal component coefficients are derived: Normalization of the factor loading matrices is accomplished by dividing the respective factor loading vectors by the arithmetic square root of the eigenvalues of the respective factors . The principal component scores are the corresponding factor scores multiplied by the corresponding variances (i.e., eigenvalues).
Eutrophication refers to the phenomenon of water pollution caused by the excessive content of N, P and other nutrients in water bodies, of which the biggest source is the large amount of fertilizers in agricultural fields. It is obviously not very objective to judge the eutrophication level of the river only on the nitrogen concentration, therefore, need to choose another total phosphorus concentration and chemical oxygen demand with ammonia nitrogen and total nitrogen concentration to calculate the total score and evaluation of the pollution level of the river. The following figure is shown:
Through the principal component analysis model established above by , the data of each influence factor is analyzed and processed to obtain the results of the score situation of each principal component. Eventually, a histogram of the composite score of pollutant concentration at the cross section of the river entering the sea can be obtained. It is as follows:
Among the five bar charts in Fig. 21, can be obtained that Longjiang region occupies the top of the list in each index, which proves that among the 11 geographical areas in Fujian Province, Longjiang region has the lowest integrated score of pollutant concentration in the cross section of the rivers entering the sea, and is the area with the most serious eutrophication as well as pollution at present, so it is more reasonable to choose Longjiang as the experimental subject of .
Longjiang River is the largest river in Fuqing and plays an immeasurable role in the economic development of Fuqing City. With the rapid development of urban and rural economy and society, the pollution problem of Longjiang water body has become more and more serious, which seriously restricts the economic development of Fuqing City. In addition, the urban infrastructure construction of Longjiang River basin in Fuqing City is seriously lagging behind, there are over-exploitation and utilization of water resources, excessive discharge of pollutants, siltation of the river, river bank occupation and other ecological destructive behaviors, which leads to the deterioration of the quality of the water environment of the Longjiang River basin. Therefore, controlling pollution and protecting the water resources of the Longjiang River has become an urgent task.
Government departments highly emphasized: focusing on regular water quality testing is one of the most important means to ensure the safety of water quality, the relevant testing institutions or enterprises should be highly vigilant and assume the relevant responsibilities. From January 2018 to May 2022 Longjiang's water quality is gradually improving, its data in the standard value of II water quality floating, but still far from enough, must accelerate the innovation of water purification methods.
This model can identify the corresponding water quality changes and provide corresponding preparation for the experimental group's bacterial and algal symbiosis water purification project. We analyzed the water quality data of Fujian Province in recent years, focusing on the content of nitrogen and lin, and at the same time, analyzed other corresponding pollution factors, in-depth understanding of the root causes of pollution and damage to the environment and the hazards, to protect the environment in a planned manner to prevent the deterioration of the environmental quality, to promote coordinated development of human beings and the environment, and to protect human health. Protect human health.