Swan dalga modellemesi ve blue kenue ile gösterim ile ilgili proje -- 2
Budget: $10 – $30 USD
Final Project Guidance for Osman's Data
Based on the files you've shared, I understand you're working on a final project involving SWAN wave modeling, and your specific data is in the row marked "Osman" in the Excel file. Here's how to approach this project:
## Understanding Your Specific Task (Osman's Data)
- **Wind conditions**: Varying wind field (you'll need to assume u,v components)
- **Wave type**: Swell (not wind-generated waves)
- **Boundary condition**: Segment defined by i,j coordinates
- **Additional conditions**: Need to use European or world wind atlas for mean wind conditions
- **Depth for analysis**: 10 meters
## Step-by-Step Approach
### 1. Prepare SWAN Input File
- Create a SWAN input file (.swn) with:
- Grid definition (bathymetry)
- Boundary conditions (for swell waves)
- Wind field input (varying, from wind atlas)
- Physical processes relevant for swell
- Output requests for Hs, Tp, Direction
### 2. Run SWAN and Check Errors
- Execute SWAN with your input file
- Carefully examine the .prt file for any errors or warnings
### 3. Generate Output Files
- Use "swan mangler" to create .r2s and .r2v files for visualization
### 4. Visualization with Blue Kenue
- Import your results into Blue Kenue to create maps of:
- Significant wave height (Hs)
- Peak period (Tp)
- Wave direction
### 5. Extract Point Data
- Select a specific point at 10m depth in your study area
- Extract Hs, Tm (mean period), and Direction values from your SWAN results
### 6. Manual Calculations
- Using Goda's method and wave transformation formulas:
- Calculate Hs, Tm, and Direction for your selected point
- Compare these with SWAN results
- Analyze any discrepancies
### 7. Report Preparation
Your report should include:
1. **Abstract**: Brief summary of objectives and findings
2. **Introduction**: Background on wave modeling and your specific problem
3. **Methodology**:
- Description of SWAN model setup
- Bathymetry data source and preparation
- Wind data from European/world atlas
- Manual calculation methods (Goda, etc.)
4. **Results**:
- Visualization maps
- Point comparison between SWAN and manual methods
- Discussion of differences
5. **Conclusions**: Summary of findings and model performance
Use osman datas And choose turkey region
Based on the files you've shared, I understand you're working on a final project involving SWAN wave modeling, and your specific data is in the row marked "Osman" in the Excel file. Here's how to approach this project:
## Understanding Your Specific Task (Osman's Data)
- **Wind conditions**: Varying wind field (you'll need to assume u,v components)
- **Wave type**: Swell (not wind-generated waves)
- **Boundary condition**: Segment defined by i,j coordinates
- **Additional conditions**: Need to use European or world wind atlas for mean wind conditions
- **Depth for analysis**: 10 meters
## Step-by-Step Approach
### 1. Prepare SWAN Input File
- Create a SWAN input file (.swn) with:
- Grid definition (bathymetry)
- Boundary conditions (for swell waves)
- Wind field input (varying, from wind atlas)
- Physical processes relevant for swell
- Output requests for Hs, Tp, Direction
### 2. Run SWAN and Check Errors
- Execute SWAN with your input file
- Carefully examine the .prt file for any errors or warnings
### 3. Generate Output Files
- Use "swan mangler" to create .r2s and .r2v files for visualization
### 4. Visualization with Blue Kenue
- Import your results into Blue Kenue to create maps of:
- Significant wave height (Hs)
- Peak period (Tp)
- Wave direction
### 5. Extract Point Data
- Select a specific point at 10m depth in your study area
- Extract Hs, Tm (mean period), and Direction values from your SWAN results
### 6. Manual Calculations
- Using Goda's method and wave transformation formulas:
- Calculate Hs, Tm, and Direction for your selected point
- Compare these with SWAN results
- Analyze any discrepancies
### 7. Report Preparation
Your report should include:
1. **Abstract**: Brief summary of objectives and findings
2. **Introduction**: Background on wave modeling and your specific problem
3. **Methodology**:
- Description of SWAN model setup
- Bathymetry data source and preparation
- Wind data from European/world atlas
- Manual calculation methods (Goda, etc.)
4. **Results**:
- Visualization maps
- Point comparison between SWAN and manual methods
- Discussion of differences
5. **Conclusions**: Summary of findings and model performance
Use osman datas And choose turkey region