Research Article
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Effect of Subsurface Materials on Earthwork Operation Costs of Forest Road

Year 2017, Volume: 3 Issue: 2, 44 - 51, 05.12.2017

Abstract

Major cost of forest construction
operation is spent to earthwork operations. Therefore, time studies, estimation
machine productivity and earthwork operation cost would be necessary to better
utilization of current resources. In this research, impact of subsurface
materials as key factor in forest road construction operation was investigated
in a one kilometer forest road as study area. Subsurface material of the road,
constructed by a Hydraulic excavator and a bulldozer, was contained three
layers in term of digging: soft (soil), medium and hard (rocky). For this
purpose, time of machines work cycle elements included warm up, movement from
camp to study area, extracting remained trunk if any, earthwork activity,
mealtimes and regular delays were accurately recorded during 15 working days.
Furthermore, relevant cut and fill subsurface material was measured precisely.
The results of continues time studies showed that mean production rates vary
from 34.98 m3/hr in hard layer to 331.63 m3/hr in soft layer. The
results indicated that there was a direct relationship between rock share
volume and delay times, therefore technical and personal delays in rocky layers
were considerably more than other layers. Proportions of delays were 9% and 16%
in soil and rocky layers, respectively. Also, production cost was 0.12 $/m3,
0.27 $/m3 and 1.13 $/m3 in soil, medium, and rocky
layers, respectively.

References

  • Abeli, W.S., 1985. Forest road planning and control by mathematical Programming and time study analysis. Ph.D. Thesis, Sokoine University of Agriculture, Morogoro. 229p.
  • Akay, A.E., 2003. Minimizing total cost of construction, maintenance, and transportation costs with computer-aided forest road design. Ph.D. thesis, Oregon State University, Corvallis.
  • Aruga, K., Sessions, J., Akay A.E., 2005. Heuristic planning techniques applied to forest road profiles, Journal of Forest Research, 10: 83–92.
  • Cabezas, W., 1994. Informe finale valuation deequips en La construction de Caminos. Informetecnico Forestal MININCO S.A, Concepcion, FAO, Rome, 37p.
  • Contreras, M., Aracena, P., Chung, W., 2012. Improving Accuracy in Earthwork Volume Estimation for Proposed Forest Roads Using a High-Resolution Digital Elevation Model, Croatian Journal of Forest Engineering, 33(1): 125-142.
  • Ezzati, S., Sammani, K.M., Najafi, A., Hasangholipour H., 2011. Evaluate and develop an existing forest road network base on environmental factors, Forestry, 17(2):42.
  • FAO, 1992. Cost control in forest harvesting and road construction. Food and Agriculture Organization of the United Nations, Rome, Forestry Paper, 99: 38-89.
  • Ghajar, I., Najafi, A., Torabi, S.A., Khamehchiyan, M., Boston, K., 2012. An Adaptive Network- based Fuzzy Inference System for Rock Share Estimation in Forest Road Construction, Croatian Journal of Forest Engineering, 33: 313-328.
  • Gumus S., Acar, H.H., Toksoy, D., 2008. Functional Forest Road Network Planning by Consideration of Environmental Impact Assessment for Wood Harvesting, Environmental Monitoring and Assessment, 142: 109–116.
  • Hossienpour, Asli, K., Naghdi, R., Nikooy. M., 2015. Estimation of cost and the amount of production in construction of forest road by combining hydraulic excavator and bulldozer (Case study: Liashisera district, Guilan Province), Iranian Journal of Forest and Poplar Research, 23(2): 320-331 (In Persian).
  • Jiroušek, R., Klvaè, R., Skoupý, A., 2007. Productivity and costs of the mechanized cut-to-length wood harvesting system in clear-felling operations, Journal of Forest Science, 53 (10): 476-482.
  • Miyata, E., 1980. Determining Fixed and Operating Costs of Logging Equipment. USDA Forest Service General Technical Report NC-S 5. l6p.
  • Moeini, M., 2004. Applied algorithm hourly rate analysis of construction equipments. First international conference of project management, Tehran, 16p. (In Persian).
  • Money, B., Hodgson. G., 1992. Manual of Contract Documents for Highway Works: A User's Guide and Commentary (Vol. 2). Thomas Telford.
  • Orleans Department of Natural Resources of California, 2003. Karuk Ecosystem Restoration Program, Final Report, 39p.
  • Parsakhoo, A., Hosseini, S.A., Lotfalian, M., Jalilvand, H., 2009. Comparing hydraulic excavator and bulldozer in construction of forest road standard cross section in different Slope classes (Lattalar, Mazandaran Province), Journal of Science and Technology of Agriculture and Natural Resources, 13(47): 397-408 (In Persian).
  • Sarikhani, N., 2001. Forest Utilization. Tehran Univ. Press, 728p. (In Persian).
  • Stuckelberger, J.A., Heinimann, H.R., Burlet, E.C., 2006. Modelling spatial variability in the life-cycle costs of low-volume forest roads, European Journal of Forest Research, 125 (5): 377–390.
  • Tan, J., 1992. Planning of forest road networks by a spatial data handling-network routing system, Acta Forestalica Fennica., 227 p.
Year 2017, Volume: 3 Issue: 2, 44 - 51, 05.12.2017

Abstract

References

  • Abeli, W.S., 1985. Forest road planning and control by mathematical Programming and time study analysis. Ph.D. Thesis, Sokoine University of Agriculture, Morogoro. 229p.
  • Akay, A.E., 2003. Minimizing total cost of construction, maintenance, and transportation costs with computer-aided forest road design. Ph.D. thesis, Oregon State University, Corvallis.
  • Aruga, K., Sessions, J., Akay A.E., 2005. Heuristic planning techniques applied to forest road profiles, Journal of Forest Research, 10: 83–92.
  • Cabezas, W., 1994. Informe finale valuation deequips en La construction de Caminos. Informetecnico Forestal MININCO S.A, Concepcion, FAO, Rome, 37p.
  • Contreras, M., Aracena, P., Chung, W., 2012. Improving Accuracy in Earthwork Volume Estimation for Proposed Forest Roads Using a High-Resolution Digital Elevation Model, Croatian Journal of Forest Engineering, 33(1): 125-142.
  • Ezzati, S., Sammani, K.M., Najafi, A., Hasangholipour H., 2011. Evaluate and develop an existing forest road network base on environmental factors, Forestry, 17(2):42.
  • FAO, 1992. Cost control in forest harvesting and road construction. Food and Agriculture Organization of the United Nations, Rome, Forestry Paper, 99: 38-89.
  • Ghajar, I., Najafi, A., Torabi, S.A., Khamehchiyan, M., Boston, K., 2012. An Adaptive Network- based Fuzzy Inference System for Rock Share Estimation in Forest Road Construction, Croatian Journal of Forest Engineering, 33: 313-328.
  • Gumus S., Acar, H.H., Toksoy, D., 2008. Functional Forest Road Network Planning by Consideration of Environmental Impact Assessment for Wood Harvesting, Environmental Monitoring and Assessment, 142: 109–116.
  • Hossienpour, Asli, K., Naghdi, R., Nikooy. M., 2015. Estimation of cost and the amount of production in construction of forest road by combining hydraulic excavator and bulldozer (Case study: Liashisera district, Guilan Province), Iranian Journal of Forest and Poplar Research, 23(2): 320-331 (In Persian).
  • Jiroušek, R., Klvaè, R., Skoupý, A., 2007. Productivity and costs of the mechanized cut-to-length wood harvesting system in clear-felling operations, Journal of Forest Science, 53 (10): 476-482.
  • Miyata, E., 1980. Determining Fixed and Operating Costs of Logging Equipment. USDA Forest Service General Technical Report NC-S 5. l6p.
  • Moeini, M., 2004. Applied algorithm hourly rate analysis of construction equipments. First international conference of project management, Tehran, 16p. (In Persian).
  • Money, B., Hodgson. G., 1992. Manual of Contract Documents for Highway Works: A User's Guide and Commentary (Vol. 2). Thomas Telford.
  • Orleans Department of Natural Resources of California, 2003. Karuk Ecosystem Restoration Program, Final Report, 39p.
  • Parsakhoo, A., Hosseini, S.A., Lotfalian, M., Jalilvand, H., 2009. Comparing hydraulic excavator and bulldozer in construction of forest road standard cross section in different Slope classes (Lattalar, Mazandaran Province), Journal of Science and Technology of Agriculture and Natural Resources, 13(47): 397-408 (In Persian).
  • Sarikhani, N., 2001. Forest Utilization. Tehran Univ. Press, 728p. (In Persian).
  • Stuckelberger, J.A., Heinimann, H.R., Burlet, E.C., 2006. Modelling spatial variability in the life-cycle costs of low-volume forest roads, European Journal of Forest Research, 125 (5): 377–390.
  • Tan, J., 1992. Planning of forest road networks by a spatial data handling-network routing system, Acta Forestalica Fennica., 227 p.
There are 19 citations in total.

Details

Subjects Engineering
Journal Section Research Articles
Authors

Iman Pazhouhan

Akbar Najafi

Abolghasem Kamkar Rouhani This is me

Javad Vahidi

Publication Date December 5, 2017
Published in Issue Year 2017 Volume: 3 Issue: 2

Cite

APA Pazhouhan, I., Najafi, A., Kamkar Rouhani, A., Vahidi, J. (2017). Effect of Subsurface Materials on Earthwork Operation Costs of Forest Road. European Journal of Forest Engineering, 3(2), 44-51.

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