Table 4 Monte Carlo model parameters
From: A model to assess tephra clean-up requirements in urban environments
Duration model | Â | Â | Â | Â | Â |
|---|---|---|---|---|---|
Category | Name | Distribution a | Minimum | Mean | Maximum |
Street sweepers | Operation hours | Discrete | 12 h | – | 24 h |
Number available | Triangle | 10 | 20 | 40 | |
Sweeping speed | Triangle | 5Â km/h | 6Â km/h | 7Â km/h | |
Disposal time | Triangle | 0.17 | 0.25 | 0.5 | |
Efficiency factor | Triangle | 1 | 2 | 10 | |
4×2 trucks | Volume capacity | Uniform | 7 m3 | 7.5 m3 | 8 m3 |
Number available | Triangle | 1 | 50 | 100 | |
Unloading time | Triangle | 2 mins | 5 mins | 10 mins | |
6 wheeler trucks | Volume capacity | Uniform | 10Â m3 | 15Â m3 | 20Â m3 |
Number available | Triangle | 1 | 50 | 100 | |
Unloading time | Triangle | 2 mins | 5 mins | 10 mins | |
8 wheeler trucks | Volume capacity | Uniform | 19Â m3 | 23Â m3 | 27Â m3 |
Number available | Triangle | 1 | 50 | 100 | |
Unloading time | Triangle | 2 mins | 5 mins | 10 mins | |
10 wheeler trucks | Volume capacity | Uniform | 10Â m3 | 37Â m3 | 64Â m3 |
Number available | Triangle | 1 | 50 | 100 | |
Unloading time | Triangle | 2 mins | 5 mins | 10 mins | |
Operation hrs |  | Discrete | 12 h | – | 24 h |
Bucket loader | Scenario modelled | Uniform | 1 | – | 4 |
1 - Capacity | Triangle | 0.7 | 1.5 | 2.3 | |
1 – Swing time | Triangle | 27 | 28 | 30 | |
2 – Capacity | Triangle | 3 | 3.5 | 4 | |
2 – Swing time | Triangle | 30 | 31.5 | 33 | |
3 – Capacity | Triangle | 4.5 | 5 | 5.5 | |
3 – Swing time | Triangle | 33 | 34.5 | 36 | |
4 – Capacity | Triangle | 10 | 14 | 18 | |
4 – Swing time | Triangle | 36 | 39 | 42 | |
Cost model | |||||
 Dump trucks | Distance to disposal | Triangle | 3 | 5 | 20 |
 Sweeping | Cost per kilometre | Uniform | $45 | $68 | $90 |