Table 1 Physical components of wastes produced in study area (%).
From: Machine learning-based prediction of heating values in municipal solid waste
City name | Physical composition of the wastes used to calculate heating values | ||||||
|---|---|---|---|---|---|---|---|
Food waste | Paper and cardboard | Wood and cellulosic materials | Fabrics and textiles | Plastic | Glass | Rubber | |
Torbat Heydarieh | 55.355 | 5.2 | 5.285 | 2.25 | 13.275 | 1 | 0 |
Jangal | 41.050 | 9 | 0.6 | 8.65 | 25.25 | 3.25 | 5.1 |
Roshtkhar | 16.5 | 6.25 | 8.75 | 9 | 7.5 | 7.5 | 7.5 |
Bayg | 37.6 | 3 | 7.85 | 5.25 | 6 | 5.1 | 1.5 |
Dolatabad | 41.45 | 6.35 | 2.75 | 4.3 | 6.75 | 2 | 1.9 |
Kadkan | 56.4 | 6.15 | 0.95 | 4.45 | 5.9 | 4.25 | 1.1 |
Robatsang | 67.59 | 3.925 | 1.415 | 3.555 | 6.955 | 2.925 | 0.69 |
Sarakhs | 27.86 | 7.46 | 6.72 | 4.82 | 13.72 | 1.2 | 0.71 |
Mazdavand | 55.15 | 3.6 | 4.31 | 9.21 | 12.98 | 5.5 | 1.23 |
Quchan | 68.7 | 3.4 | 4.4 | 3.3 | 13.25 | 4.6 | 0.505 |
Bajgiran | 53.650 | 10.105 | 1.1 | 2.38 | 8.5 | 3.55 | 1.6 |
Chekneh | 46.66 | 3.89 | 1.430 | 4.46 | 10.43 | 2.085 | 1.11 |
Kalat | 19.215 | 14.31 | 4.39 | 3.55 | 12.245 | 10.420 | 2.365 |
Zavin | 9.04 | 4.95 | 2.1 | 13.75 | 13.11 | 2.6 | 1.25 |
Dargaz | 53.8 | 6.2 | 5.5 | 2.9 | 13.85 | 1.65 | 0.1 |
Chapeshlu | 53.65 | 2.45 | 2.6 | 3.55 | 7.45 | 0.65 | 0 |
Lotfabad | 39.75 | 14.15 | 5.65 | 2.4 | 15.45 | 1.85 | 1 |
Nokhandan | 60.35 | 2.2 | 2 | 13.95 | 5.1 | 1.8 | 0.4 |
Neyshabur | 61.05 | 10.685 | 0.69 | 2.735 | 4.245 | 1.745 | 0.77 |
Darud | 21.16 | 0.955 | 0.97 | 1.665 | 4.06 | 0.415 | 0.055 |
Kharv | 35.64 | 4.285 | 0.54 | 1.84 | 9.235 | 1.34 | 0.55 |
Taybad | 68.8 | 7 | 5.05 | 2.4 | 16.3 | 1.2 | 1.4 |
Kariz | 5.05 | 6.3 | 1.45 | 2.6 | 11.6 | 1.45 | 1 |
Mashhad Rizeh | 35.55 | 1.993 | 4.74 | 1.495 | 3.115 | 1.085 | 1.04 |
Mean | 42.96 | 5.99 | 3.39 | 4.77 | 10.25 | 2.88 | 1.37 |
Std | 18.79 | 3.55 | 2.44 | 3.55 | 5.04 | 2.38 | 1.67 |
