Groundwater pollution prevention based on improved particle swarm algorithm and sports training optimization

In this paper, an improved particle swarm optimization algorithm based on chaos adaptive strategy of support vector regression parameters is proposed. Chaos mapping algorithm and adaptive aggregation decision-making strategy are used to improve the general research results of population superiority, improve the diversity of particles, and avoid the population approaching in advance. Applying better algorithm to particle swarm optimization plays an important role in preventing groundwater pollution and optimizing motion training. As a part of the prevention and control of groundwater pollution, we collected 60 groundwater quality reports and analyzed and introduced them in detail by using the evaluation method of groundwater indicators. The results of groundwater quality evaluation by pollution index method show that most of the groundwater quality in this area has been damaged, and the normal implementation of pollution prevention and control can be ensured by evaluating individual or seriously polluted water bodies, which plays the same role in the optimization of sports training. In the process of research, this paper adopts a variety of methods to investigate it, including case study method and questionnaire interview method. From the perspective of practice at home and abroad, this paper makes an in-depth analysis of the optimization methods of sports training. With the cooperation of the sports production team, we are studying the optimization index of sports training every day and implementing the training plan to track the modeling of sports training. We regularly check the optimized design of the sports training system. Finally, it is concluded that optimizing the design of college physical education teaching method system is an effective way of scientific research benefit. This paper studies the prevention and control of groundwater pollution and the optimization of sports training, and applies it to the improved particle swarm optimization algorithm to promote its application in real life.


Introduction
In this paper, a better vector regression prediction model is proposed, and the support vector regression model is used to improve the particle swarm optimization algorithm. The results show that the prediction model can reduce the quadratic mean error by about 40%, the absolute error is about 42%, and the relative error is about 46% (Taylor 2001). The improved stochastic initialization method of particle swarm optimization can achieve uniform distribution of initial particle swarm to a certain extent, but it cannot achieve uniform distribution of all desorption state populations. Some populations may deviate from the optimal solution, thus affecting the approximation speed of the algorithm and reducing order logistic algorithm. Superharmonic sensitivity improves the efficiency of stochastic optimization algorithm (Melesse et al. 2011). In this paper, the logic mapping task of pscso algorithm is added to improve the complexity of the population and simplify the particle search, so that the algorithm can work better. The algorithm is of great significance for the prevention and control of groundwater pollution (Ramiro et al. 2020). First of all, the prevention and control of groundwater pollution is studied, and the important rules and parameters of groundwater pollution are controlled (Mirjalili 2018). On this R E T R A C T E D A R T I C L E basis, the study area developed a groundwater flow and groundwater sliding transport model, carried out a comprehensive simulation of the groundwater pollution index, and studied its capacity. Then we put forward relevant suggestions according to the big data provided by the results. According to these experimental studies, we have developed various available models, such as flow model and transport model (Rouhani and Farahi Moghadam 2014). The numerical simulation results of groundwater pollution in the study area show that the degree of pollution exceeds the threshold (Nourani and Mano 2007). From the research results of pollution depth, we can see that the gap between the upper limit and the lower limit of environmental capacity is not big, which provides a practical basis for modern pollution control, Sports competition and training are also very important links (Talebizadeh and Moridnejad 2011). Science education includes the reform of physiology, the optimization of physical training courses, and then the improvement of athletes' psychological tolerance, sports intelligence, cultural quality and even social adaptability. Science education includes increasing the content of science and technology in all athletes' daily training and "science" training. The formation of high-level sports teams will have a direct impact on athletes' physical fitness and speed to achieve the ultimate goal of their development (Rajaee et al. 2009). Therefore, the research and analysis of athletes' training optimization methods will help to enhance the correct understanding and evaluation of the current situation and development potential of high-level teams and then establish a more targeted response (Pengxin et al. 2019).

Data sources
Vertical boundary: the vertical limit refers to the conversion of the device application from water perpendicular to the outside of the system (e.g., loading into the atmosphere and evaporating it) to the upper boundary of the model. The upper boundary of the model is a phreatic region, which injects groundwater into the atmosphere by evaporation; the lower boundary of the model is a layer of smoke with low permeability, which can be regarded as an insulating layer and has no hydraulic connection with the groundwater system (Sarrouy and Sinou 2011).
It is parallel to the southwest, northwest and northeast directions of the study area and is defined as the lateral flow boundary. It is also the parallel boundary of the "side limit" water surface outside the study area that nourishes groundwater at the bottom. Shear perpendicular to ISO defined as zero current boundary. The south end of the study area is the East Bank of the ocean entrance, which serves as the replenishment zone.
According to the structural characteristics of the foundation pit support system in the study area, this simulation mainly adopts the simulated 20-m low foundation pit support form to analyze and predict the underwater foundation pit support in the area; combined with the industrial hydrogeological conditions, the hydrogeological model is vertically composed into two layers, the first layer is underwater (−17 to 0m), the lithology is mainly argillaceous, silty clay, and silty soil, and the second layer is low permeability water (−21 to 17m).

Design of improved particle swarm optimization algorithm
Since the spatial position of particles in inventory can be reflected by the value of adaptive function, the adaptive cost change of all particles in inventory can reflect the convergence and degree of convergence of particles. In order to prevent premature convergence of the population, an adaptive judgment strategy is introduced to realize chaotic search (Senthil Kumar et al. 2004).
Firstly, the aggregation degree is calculated according to the fitness value of particle swarm optimization: Secondly, according to the degree of polymerization δ, the judgment probability p t m of the t generation particles is adjusted as follows: Finally, chaos operation is performed according to Equation (2): The MSE adaptability of each CASSO particle was calculated. If the MSE value of the current particle is greater than the best entity position, the current particle position is assigned to the best pbes position. If the MSE value of the current particle is greater than the overall best value, the current particle position is assigned to the best gbest value.

Determination of permeability coefficient of impervious layer polluted by groundwater
In order to design the structure of waterproof layer, we must first determine the characteristic parameters of waterproof layer, namely permeability coefficient. The size of permeability factor directly affects the concentration of pollutants in groundwater, so the reversal process of permeability factor is mainly based on the relationship between the concentrations of pollutants in groundwater. In order to reverse the relationship between groundwater differential equation and migration equation, the solution of groundwater differential equation and migration equation is solved together (Sharafati et al. 2019).
According to the previous research, the leakage volume of oil pollutants in the mud pools of the four long stations is 65g/ day, and the groundwater capacity of the four long stations is 9.44g/day. Therefore, it is necessary to develop the waterproof structure of the waterproof layer, limit the leakage of pollutants into the environment before the accident treatment, and calculate the shortest time of petroleum pollutants exceeding the ability of the environment to enter the waterproof layer according to the following formula (4): Through calculation, the shortest time for oil pollutants leaking from mud pit and oil pipeline to penetrate the impervious layer is 716.60h.
According to Eqs. (3) and (4), the permeability coefficient of impervious layer to be used in the oil exploitation area is estimated:

Analysis of groundwater pollution
Using the relevant conditions and parameters determined by the above air zone and the simulation results of HYDRUS, Fig. 1 shows that the oil concentration increases with time at the depth of 150 cm, and the oil change curve changes linearly with time. At 500 days, the lower limit concentration rises sharply. At 1000 days, the oil concentration changes in a vertical line, which means that at 1000 days, the oil in the vadose zone reaches saturation at a concentration of 0.1 mg/ cm 3 . It can be seen from Figure 2 that the pollutant concentration in N1 segment changes faster than that in N2 segment, and the pollutant concentration before N2 segment is balanced; at the N1 observation point, oil began to adsorb on the vadose zone within 6 days, and its concentration reached 280-day equilibrium at 0.1 mg/cm 3 . At the N2 observation point, the oil began to adsorb on the air belt floor at 48 days and reached the equilibrium of 610 days at the concentration of 0.1 mg/cm 3 . This shows that the more petroleum pollutants enter into the precipitation air conditioning area, the closer to the lower limit of the vadose zone, the slower the pollutant concentration increases, and the longer the equilibrium time is.
The identifiable water balance is shown in Table 1, which shows that the recharge of groundwater in the study area is mainly due to the filtration of rainwater and the arrival of lateral limit. The main products are evaporation and side outlet. The accuracy and reliability of advanced groundwater flow model are studied in more detail. Therefore, this model can be used to predict groundwater pollution in the study area.
When transporting for 100 days, the maximum distance level exceeding the pollution source is 4.67 m, the pollution area is 33.82 m 2 , the maximum pollution depth is 5.71 m, and the maximum pollution concentration is 89.91 mg/L. Within 1000 days in horizontal direction, the maximum distance beyond the pollution source is 12.96m, the pollution area is 219.42m 2 , the maximum pollution depth is 10.84m, and the maximum pollution concentration is 84.06mg/L. Within 5 years, the maximum crossing point of pollution source is 29.40m, the pollution area is 1175.66m, the maximum pollution depth is 1175, and the maximum pollution concentration is 29.45mg/L. Within 10 years, the maximum distance over the pollution source is 35.72 m, the pollution area is 1678.15 m 2 , the maximum pollution depth is 11.25m, and the  Table 2.
It can be seen from the table that the movement direction of unclean substances is the same as that of groundwater. The range of pollutants is mainly affected by convection, and the duration of petroleum pollutants in groundwater gradually decreases from the flight point to the environment. Over the past 10 years, crude oil contamination has not been removed from the facility, nor has it had any impact on the underlying environment of the micro pressure zone. However, with the passage of time, pollutants will continue to spread, and the impact will gradually expand. If not controlled in time, the deterioration of groundwater environment will intensify.
The calculation of groundwater environmental capacity begins with the determination of groundwater quality standard. Because the national groundwater environmental quality standard (GB 3838-88) does not contain the water quality index of petroleum element, this paper refers to the surface water environmental quality standard and the standard discharge standard of petroleum pollutants, applies the surface water environmental quality standard, and sets the petroleum limit value as 0.05mg/L.
The ability of petroleum to pollute groundwater is calculated from the threshold of 0.05mg/L, which is used to maximize the concentration of petroleum pollutants in groundwater. The centrifugal capacity, self-cleaning fluid capacity, and transportation capacity of crude oil pollutants in each unit are calculated from the formulas for calculating groundwater environmental capacity. The environmental capacity of groundwater pollutants in the study area is obtained by synthesizing these formulas.
GMS and MAPGIS software are used to simulate the groundwater environmental capacity of oil pollutants in the study area, as shown in Figure 3.
It is obvious from the figure that the oilfield environmental capacity of the four stations is at least 1.20g/day and the maximum is 10.90g/day and the oilfield environmental capacity gradually decreases from southwest to northeast.
The calculation results show that the oil environmental capacity of the four stations is 9.44g/day and the leakage of groundwater pollution points exceeds the groundwater environmental capacity, thus polluting the groundwater environment.

Analysis of groundwater pollution control effect based on impervious layer
Groundwater environmental quality assessment is based on groundwater dynamic quality tracking data in the study area. Therefore, it is necessary to strengthen groundwater quality monitoring and evaluation activities and regularly evaluate and predict groundwater quality, so as to scientifically manage groundwater resources. We should manage groundwater resources scientifically, improve groundwater quality reporting system, and develop groundwater resources information system in time. The most common denitrification technology is to use nitrifying microorganisms to reduce nitrogen loss under nutrient and anaerobic conditions. Due to the pollution characteristics of groundwater in the study area, the technology still needs to be popularized and applied to reduce the nitrate and nitrogen pollution of life and agriculture. Therefore, the infiltration coefficient is 10 −9 , 10 −10 , 10 −11 , and 10 −12 cm/s for numerical simulation, and the infiltration level lower than the K value of various breakthrough coefficients will enter the same oil pollution intensity when the oil pollution source is set at the outlet, as shown in Figure 4.
The concentration distribution of petroleum pollutants in groundwater under the condition of permeability coefficient of impervious layer k = 1 ×10 −10 cm/s is shown in Figure 5.
The concentration distribution of petroleum pollutants in groundwater under the condition of permeability coefficient of impervious layer k = 1 ×10 −11 cm/s is shown in Figure 6.
The concentration distribution of petroleum pollutants in groundwater under the condition of permeability coefficient of impervious layer k = 1 ×10 −12 cm/s is shown in Figure 7.
From Fig. 4 to Fig. 7, we can see the concentration distribution of petroleum pollutants in groundwater under the condition of different permeability coefficients of impervious layer, and we can get the concentration of petroleum pollutants in the unit where the leakage point of petroleum pollutants in   Table 3.
The design of the antifouling layer of the mud pond conforms to the regulations of pollution of hazardous landfill (GB 18598-2001) and the technical code for seepage construction of petrochemical industry (gbt50934-2013). The layer is protected by non-woven wire above and below HDPE antifouling layer, and the natural gravel is laid on the surface concrete of geotextile and placed on the surface of waterproof layer on the side wall of the mud pond. The investment required for the structure of the impervious layer of mud pool in oil exploitation project is analyzed, as shown in Table 4.

SWOT analysis of college sports training
SWOT analysis is usually used in the competition between companies, so as to perfectly combine the internal resources and external environment of the company. Therefore, we should fully consider the opportunities faced by the company, which plays a key role in the future development of the company. This paper analyzes the internal and external environment of the development of high-level sports teams in Chinese colleges and universities, aiming at understanding their advantages, overcoming inferiority complex, seizing opportunities, and defusing threats, and probes into the healthy strategies for the development of middle-and high-end sports teams.

Analysis of the advantages of high-level sports teams in colleges and universities
Advantage analysis mainly focuses on the comparison of enterprise ability and competitors; this part of the research is a comparative analysis of high school sports training team and Sports School (sports training team). The benefits of the study focus on: (1) Coaches have strong scientific research ability The coach is the absolute main part in sports training and must play its role. We found that the level of scientific research ability of university coaches is high. First of all, through the research on the education level of university coaches and sports school coaches, it is found that 18% of university coaches have master's degree and higher education degree and 82% have basic education degree and have little special education. This objectively shows that from the perspective of scientific training, under the guidance of the new training principles, it is more suitable for the practice of scientific training. Some coaches in the institute of physical education are often coaches of retired players (Madani 2011). They do not pay attention to new teaching principles, and their ability in scientific research is far less than that of university coaches. Education is often concentrated in the departments, most in the communication department.
Next, in the introduction of scientific research achievements, we analyzed the release situation of scientific research achievements of six universities and physical education schools. In the senior grade, coaches look for better teaching methods, find and solve problems in practice, and make them become specific information to make up for their lack of teaching experience. Teachers publish papers in core journals of grade 2 or above every year (excluding papers written for rating). The coach of the sports school said that there was no pressure for scientific research, and the main problem was during the learning period based on the learning log, even during the learning period.
(2) Mutual support of other related professional colleges The university has good facilities and resources that can be obtained directly or indirectly, which shows that there are many professionals in sports training, competition, backstage, and so on. Through professional training, these people can serve the sports team and serve as mobile resources for the school. For example, medical college and college of life sciences can provide test type technical support for the recovery of middle school athletes after training and the monitoring of physiological indexes during training, so as to supplement their own shortcomings.
With the rapid development of competitive sports, advanced high-tech achievements of universities have been applied in various fields of competitive sports training, such as scientific confirmation and test of sports load, recovery, treatment and repair of sports injury, scientific selection, and development of scientific talents. We must use advanced equipment, reasonable sports planning, and safe equipment to train At present, most leaders of higher education are undoubtedly scientific research professionals, but only a few leaders have difficult skills in practical vocational training, which has a certain negative impact on improving the skills of middle schools. The survey shows that about 67% of the leaders also hold physical education courses with the training group, which makes it difficult for the leaders of higher education to do their best to carry out training. Only 40.2% of the trainees received vocational training. Therefore, in the process of training, there may be a lack of appropriate training experience (Li et al. 2009). Of course, experience alone cannot succeed, but without experience, the effectiveness of training will be greatly affected.

Optimization mode design of college sports training
In order to improve the training system of high-level sports training in middle school and further optimize the training mode of competitive talents, it is necessary to develop a training mode suitable for the construction of high-level sports teams in your own school, so as to supplement the problems that need to be solved urgently in the University, such as scientific scheme, sports training, supervision and management, cultural training, and nutrition. The first teaching mode proposed in this paper is "middle school cooperation mode," as shown in Figure 8.
The cooperation mode of university is based on the scientific principle of sports training. The essence of dynamic science is the control process. According to the basic principles of control theory, the most basic concept of control theory is control (Khaing et al. 2019). The content of practical training science mainly discusses a practical scientific method which takes the three selection fields of practice training process, training, and competition as the core and finally unifies science with scientific management. The central part of the study is to start with the urgent need of UNU and design this model for the university's scientific training (Kesgin et al. 2020).
The "cooperation mode of Gaquet University" is to maximize the advantages among departments to make up for various problems that must be solved quickly. First, the cooperative mode of Gaquet university is based on the practice teaching system in scientific training. Observing things from the system can help to better understand the essence. Sports training itself is also a complex system. "University cooperation mode" is a large closed-loop control system. The control can be realized by "input feedback." The development of things can be approached by adjusting the control to reach our ideal goal, thus forming the process curve from "never stable to stable." Feedback adjustment is realized through cooperation between each school. Each school can cooperate with each other, and through strengthening cooperation between them, it realizes the construction of training teaching monitoring system and provides monitoring guidance for the realization of physical education science.

Establishment of optimization system of sports training methods
The core of this research is to establish the optimization system of sports training methods, and the establishment of the optimization system of sports training is temporarily established in cooperation with other school parks, mainly led by the sports academy. Each school shows its own advantages in order to make up for the lack of training in colleges and universities (Jothityangkoon et al. 2001).
The research content of the college of life sciences is very extensive, and its analysis shows that the school of life sciences has classified the nutrition categories, from which we can also see the regulation process of human life cycle in detail. In the last century, two famous scholars have put forward a theory called birthday paradox. As the name implies, it means that from the date of birth, there will be a cycle every 23 days, which is called life cycle, and every 28 days there is an emotional cycle. Athletes need to make reasonable dietary and nutritional arrangements. The aim is to realize and maintain the ideal structure of the biological community and to demonstrate the great potential of manual and informed labor (Gupta et al. 1999). Daily nutritional needs, including energy, depend on age, gender, size, weight, metabolism, and physical activity. The Canadian Academy of Sciences, the Food and Nutrition Commission of the National Research Council of Canada, and the Ministry of Agriculture regularly review information reports on 28 basic human nutrition requirements. However, for vitamin calcium foods, we believe that daily food supply is safe and appropriate, because it is not known. In order to have enough energy, the composition of the body must be kept within a reasonable range. To do so, we must balance energy supply and consumption and adapt to the intensity of the movement. Since this is only a category being studied by the school of life sciences, the advantages of the Department cannot be ignored. Nasal blood keeps the athletes' diet optimized, monitors nutrition, and ensures adequate energy metabolism (He et al. 2018).
According to the analysis of the advantages of the information college, the information college specializes in information technology. In the era of full coverage of modern information technology, the development and application scope of information technology has been greatly improved. Information technology is not only linked to information science, but also closely related to some other aspects, such as electronics, automation, control, and communication (Ebtehaj and Bonakdari 2014). However, there are also some links and intersections with the Ministry of Management, the Ministry of Economy, the Ministry of Geography and Planning, the Ministry of Biology, and the Ministry of Health . The core technology of computer is information technology, which is an organic part of many research fields. At the same time, sports naturally belong to the horizontal range, such as the application of computer simulation system in sports. Its function is not fully expressed in high school. For example, in high school, the advantages of computer programming can be used to plan and design training content and training load for athletes. Coaches can use computer system to control training content and training amount, thus saving time (Duie Tien et al. 2020).
High tech means gradually permeate every link in the field of sports science, which brings profound changes to the cultivation of university advanced sports teams. The application of multimedia technology in sports training can help to improve the scientific of sports training and improve the competition level rapidly. The application of modern education technology such as information technology to the physical training of general high school has entered a new stage of making full use of multi-level training methods and means.

Implementation method of sports training method optimization system
The design of training method optimization system is to train scientifically and to seek the mode selection suitable for high school. Generally speaking, scientific training is an aspect of scientific researchers, such as research services, training costs, and equipment. Through the analysis of the advantages of each university, the university can integrate its own advantages and establish its own scientific training plan (Dabanlı and Şen 2018). First, coaches and researchers form a joint training group, which is responsible for the development and implementation of the whole training plan. The selection of scientific researchers must be very strict, which not only needs to meet the requirements of sports events, but also needs to meet the requirements of their own regulations, which meets the high standards of modern scientific training, and is powerful according to the goal.
Secondly, the problems of scientific research services are not exactly the same as the general challenges faced by university teachers in evaluating their functions. This includes the establishment of new research results or scientific support for training, as well as a number of provisions and issues in the application of research results. It also enables us to report on problems and create access to funding for scientific research. An important part of training or in-depth research is the important performance of scientific training. These challenges can fully reflect the multi-department and high-tech characteristics of universities and combine with sports training. It needs sufficient funds and equipment to carry out scientific training again. The training experience of Tsinghua University in high-level sports teams shows that we should make full use of the advantages of Tsinghua University's multi-department learning, build a comprehensive research experimental platform, strengthen the horizontal cooperation among various departments, and carry out multi-channel scientific research case studies, which should be imitated by our university.
The main economic sources of track and field in China are the special funds and expenditures of schools, the funds of senior institutions (mainly the funds from the Ministry of Education and the Higher Education Committee), and the development of some sponsorship funds. Although the annual college competitions continue, the school track and field level is very low, the media support is insufficient, the competition management mechanism is insufficient, and the mediation between sports advertising agencies and sports managers is insufficient. There is only input but no output, so the cost source of this part can not be guaranteed and the quantity is limited (Abdullah et al. 2018).
Competition is another aspect of scientific training. The purpose of training is to improve training performance and test training effect in the whole process. At present, universities are limited by the cost of competition-based learning, and some projects can only have one competition opportunity during the university period. The dilemma of one-time competition greatly affects the offensive of players' training. Competition is also a way to improve sports performance. If there are more competitions, the pre-competition tension will be easier to eliminate, and the stronger competition will be maintained. Through competition, we can communicate with other coaches and athletes. Through the competition, athletes have a more comprehensive understanding of their ability and technology. Through competition, athletes can accumulate more experience for future sports training (Bai et al. 2015).

Conclusion
In this paper, a parameter optimization method of SVR based on CASPSO is proposed, which avoids the early convergence of PSO algorithm and increases the diversity of population particles and their global investigation ability. Simulation results show that CASPSO algorithm can search SVR parameters with high accuracy. At the same time, the SVR short-term prediction model based on CASPSO algorithm has higher prediction accuracy. This paper expounds the training methods through the human resource development mode and mainly establishes the training mode to improve the high school education level through the analysis of three types of human resource development mode, which realizes the optimization design of the sports training method system. By making use of the complementary advantages of colleges and departments to make up for the shortcomings of sports colleges, a training method similar to the special training mode has been formed. Optimizing the design of this training mode is also the biggest challenge for high school sports to become the highest-level competitive unit in the country in the future. Through the verification of the design of university cooperation mode, it is proved that the mode is feasible and the construction of training method system is a reasonable evaluation. It is also a high degree of recognition, which is very important for the sports team to achieve a high level of play, and provides advantages to supplement the shortcomings of the current colleges and universities.
Funding This paper was supported by Liaoning social science fund: research on community elderly public health service system from the perspective of "sports medicine integration" in post epidemic period (NO. L20BTY021)

Declarations
Conflict of interest The authors declare no competing interests.
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