1, model generalization

According to the nature of the studied pollution, select the variables of concern, make clear the changing trend of these variables and their interaction, and make the model as simple as possible on the premise of ensuring that it can reflect the actual situation.

2. Research on model attributes.

The stability, balance and sensitivity of the model are studied.

3. Parameter estimation

4. Model verification

If the test results are consistent, the model has the function of prediction, otherwise, it is necessary to return to the third step and adjust the parameters.

5. Model application

The role of water quality model

In order to understand and predict the change of water shortage with time, climate change and economic factors, the water quality model will need enough data, including local and global water bodies.

Water quality model involves using mathematical simulation technology based on water quality data. Water quality modeling can help people understand the importance of water quality problems, and the model can provide a basis for decision makers to make appropriate decisions to reduce water quality. Water quality modeling is also helpful to determine the correlation with the source of components and water quality, and to determine the information gap. As people use fresh water more and more, water quality models are particularly important at both local and global levels.

A typical water quality model consists of a series of formulas representing physical mechanisms, which determine the position and momentum of pollutants in water. The model can be used in various components of hydrological system, such as surface runoff; There are also basin-wide models for hydrological transportation and ocean and estuary applications. The finite difference method is usually used to analyze these phenomena, and a large and complex computer model is almost always needed.