Mathematical modeling is a method to abstract practical problems into mathematical models, and then predict and solve practical problems by solving the models. It can be used in many fields, including but not limited to the following aspects:

1. engineering technology: in engineering design, construction and management, mathematical modeling can be used to optimize the design scheme, predict the project cost and progress, and evaluate the project risk.

2. Economic management: In economic forecasting, market analysis and investment decision-making, mathematical modeling can be used to establish economic models to analyze and predict economic phenomena.

3. Biomedicine: In terms of disease diagnosis, drug design, genetic research, etc., mathematical modeling can be used to establish biomedical models to analyze and predict biomedical phenomena.

4. Environmental science: In terms of environmental protection, climate change, disaster warning, etc., mathematical modeling can be used to establish environmental science models to analyze and predict environmental phenomena.

5. Social science: in social investigation, policy evaluation, population forecast, etc. Mathematical modeling can be used to build social science models, analyze and predict social phenomena.

6. Traffic: In terms of traffic planning, traffic flow control, traffic safety, etc., mathematical modeling can be used to establish traffic models to analyze and predict traffic phenomena.

7. Agricultural science: Mathematical modeling can be used to establish agricultural scientific models, analyze and predict agricultural phenomena in crop growth, pest control and agricultural resource management.

Generally speaking, mathematical modeling is a powerful tool, which can be applied to solve various practical problems.