It is of great significance to seek better means of water purification and carbon sequestration. Our team intends to build mathematical models to provide basis for breeding the algae filament and carrying out our project.
1.1 Optimized Model of the Location of the Microalgae
First, we analyzed the influence of light intensity x_1, average temperature x_2 and light duration x_3 on carbon sequestration rate, established a microalgae factory siting model, and found that the southeast coast is more suitable as a microalgae cultivation area. ( See Math_Model: Model 4)
1.2 Sea Water Quality Evaluation Model near Fujian Province
Then, taking Fujian as an example, a comprehensive evaluation of the water quality of its river section was conducted. We found that the total nitrogen content of rivers in Fujian Province showed a slight upward trend, and the water quality score decreased year by year, of which Long River is the worst water quality in Fujian Province. ( See Math_Model: Model 1)
1.3 Model of Longjiang Water Quality Forecast
From this, we have established a water quality prediction model for Long River, and the analysis shows that the oxygen content, ammonia nitrogen, chemical oxygen demand and total phosphorus content of Long River show a downward trend, and the content of nitrogen nitrate and nitrogen nitrite will increase slightly in the future, and the total nitrogen content will not change significantly. ( See Math_Model: Model 2)
1.4 Microalonic Water Purification System Simulation Model
Finally, we use computer simulation technology to analyze the variation of pollutants in water systems before and after microalgae intervention. We found that the addition of microalgae can effectively reduce contaminants in water. ( See Math_Model: Model 3 )
We collected 768 questionnaires from a total of 14 occupations and 25 provinces to analyze the public's understanding of microalgae water purification technology.
Through analysis, the questionnaire coverage is wide, the sample size is large, and the statistical test results such as reliability and validity are good, which has modeling value. ( See Questionnaire_analysis: Data Processing and Analysis )
Therefore, we established a user cognitive model based on Bloom's theory, and we found that 211 people had not heard of microalgae at all, and most users who have heard of microalgae have a low level of understanding of microalgae water purification technology. ( See Questionnaire_analysis: User Cognition Analysis of the Model based on Bloom’s Cognition )
2.3 User Cluster Analysis Model
At the same time, we further analyzed these users, established a clustering model, and analyzed two types of potential user groups that need to strengthen publicity, namely the middle-aged and elderly groups with higher education and the college students. ( See Questionnaire_analysis: Potential User Mining Model based on K-Clustering )
Our model uses more classic algorithms to achieve cross-disciplinary cooperation, which is greatly inspire the development of biological science:
First, we combined with many classic algorithms, which has greater feasibility and promotion. We have established different models for each stage of the microalgae project. We use many algorithms such as TOPSIS, entropy weight method, time sequence prediction, cellular automata, differential method, critic weight and K-Means. Our models obtained good results.
Second, We use computer technology to combine experimental data to make computer simulation on conditions that are difficult to achieve in traditional experiments. Traditional experiments are difficult to simulate the complex factors in large ecosystems, or it takes a lot of cost. Our model simulates the iteration of pollutants in the water system, analyze the absorption of the pollutants by microalgae.
We hope to attract more people to use computer science and mathematical models to solve biological problems. Our model provides a certain basis for the development of microalgae projects, and has important theoretical and practical value.
With extensive experience in mathematical modeling, our team members have won a number of important awards in professional fields, and are able to better build generalizable models for all phases of the microalgae project.
The awards we have received are as follows:
Meritorious Winner in Mathematical Contest in Modeling in 2021
The Second Prize in “Higher Education Club Cup” China Undergraduate Mathematical Contest in Modeling in 2020
The First prize in Asia and Pacific Mathematical Contest in Modeling in 2020
