rcg 0.0.10

Rapid catchment generator - is a tool for rapid prototyping of a hydraulic model catchments that can be read and edited with SWMM.

Rapid catchment generator

Tool for rapid prototyping of a hydraulic model that can be read and edited with SWMM.

The generator was created using feature analysis and surface runoff research from the literature.

Fuzzy logic controller rules were developed using parameterized categories of soil, slope,

and permeability. The catchment configuration procedure was simplified by mapping typical

storage and Manning's coefficients. The use of fuzzy logic rules allows the system to be modified

to adjust the categories to certain situations. The use of membership functions allows us to increase

computation accuracy and customize the tool to diverse applications. Following alteration

of the catchment in the SWMM GUI allows for accurate portrayal of the real condition of the catchment;

no issues were encountered in altering the *inp file.

Requirements

• Python 3

Usage

Create a virtual environment:

python3 -m venv venv

Download and install the required dependencies:

python3 pip install -r requirements

To run the script, use the following command:

python3 rcg.runner file path

where file path is the path to the SWMM model file.

Enter data into the terminal according to the instructions it displays.

The file is automatically saved in the same directory.

About

For the construction of the catchment generator, the type of land use was divided according to Table 1,

the land cover according to Table 2.

The categories were determined on the basis of the data presented by (Dołęga, Rogala, 1973), given below in Table 3.

Table 1. Land use categories

Number	Land Use
1	marshes and lowlands
2	flats and plateaus
3	flats and plateaus in combination with hills
4	hills with gentle slopes
5	steeper hills and foothills
6	hills and outcrops of mountain ranges
7	higher hills
8	mountains
9	highest mountains

Table 2. Land cover categories

Number	Land cover
1	medium conditions
2	permeable areas
3	permeable terrain on plains
4	hilly
5	mountains
6	bare rocky slopes
7	urban
8	suburban
9	rural
10	forests
11	meadows
12	arable
13	marshes

Table 3. Runoff coefficients o according to Iszkowski

Number	Topographic terrain definition	Drainage coefficient ϕ
1	marshes and lowlands	0.20
2	flats and plateaus	0.25
3	flats and plateaus in combination with hills	0.30
4	hills with gentle slopes	0.35
5	steeper hills and foothills	0.40
6	hills and outcrops of mountain ranges	0.45
7	higher hills	0.50
8	mountains	0.55
9	highest mountains	0.60-0.70

Table 4 shows what and how feature values are generated.

Table 4. SWMM catchment data.

Parameter name	Explanation
Name	Catchment names (ID) are generated by adding a number.
Raingage	When "raingage exists in the uploaded file, it will be assigned to the catchment area being built. If it does not exist, it will be added to the file along with the "timeseries" and assigned to the catchment area being generated.
Outlet	If there are receivers in the transferred file, the program will automatically assign it to the catchment area, if there are none, the name of the generated catchment area will be assigned.
Area	A parameter passed by the user.
Percent Imperv	Parameter calculated as described above and assigned to the catchment area.
Width	The generated catchment areas are square in shape therefore the length of the side of the catchment area is assigned.
Percent Slope	Parameter calculated as described above and assigned to the catchment area.
N-Imperv	The value taken based on the linguistic variables passed to the fuzzy logic controller which were previously mapped with Manning coefficients.
N-Perv	The value taken based on the linguistic variables passed to the fuzzy logic controller which were previously mapped with Manning coefficients.
Dstore-Imperv	The value taken based on the linguistic variables passed to the fuzzy logic controller which were previously mapped with typical storage values.
Dstore-Perv	The value taken based on the linguistic variables passed to the fuzzy logic controller which were previously mapped with typical storage values.
Percent Zero Imperv	The value taken based on the linguistic variables passed to the fuzzy logic controller which were previously mapped with typical storage values.
RouteTo	Odpływ z obszarów imperv i perv spływa bezpośrednio do wylotu
Coordinate	Square-shaped catchments are generated, located so that one side is the edge of the contact.