Document Type : Research Paper


1 A member of Agricultural and Natural Resource Research Center of Markazi Province, Arak, I.R. Iran

2 Ph.D. student of watershed management, Sari University of Agricultural Sciences & Natural Resources, Arak, I.R. Iran

3 Ph.D. student of watershed management, Tarbat Modarres University, and A member of Agricultural and Natural Resource Research Center of Markazi Province, Arak, I.R. Iran

4 Associate professor of soil conservation and watershed management research institute, Tehran, I.R. Iran


Land use Optimization using linear programing is a method in watershed management for access to production sustainability and decreasing of soil erosion. The sensitivity analysis of the model can with investigation of results influence form changes in input parameters, lead to decrease the uncertainty in decision-making of management programs. So in this research, linear programming model using Lingo software was applied to land use optimization in the Adineh Masjed watershed, Markazi province. Then was investigated a sensitivity analysis in changes of -50 to +50 percent form area of land use type on based benefit maximization and soil erosion minimization variables. According to results, objective functions are sensitive very low in conditions of changes dry farm area maximum. So that with decreasing 10% from its, benefit rate reduced equal to 3.5%, 4.2% and 2.6% for current land use, management land use and standard land sue, respectively. Also soil erosion rate reduced equal to 0.18% and 0.19% for current land use and management land use, respectively; but it increased in standard land sue equal to 0.34%. Also the results showed benefit variability is related to dry farm area and erosion variability is related to rangeland area.


[1] Berangl, K.J. (1999). Principles and treatments in dry farming (interpretation of Rashed and Koochaki), Mashhad University Jihad (In Persian).
[2] Boomabad Consulting Engineers. (2001). A basic study of Hendudar 1 watershed, Agricultural Jihad Management in the Markazi province (In Persian).
[3] Chamheidar, R. (2011). Economical land use optimization to minimize soil erosion, sediment and loss of nutrients, in one of the RoodZard sub-basins, A thesis of PhD. Islamic Azad University, Tehran (In Persian).
[4] Jalili, Kh. (2004). Optimization of land use in the Berimoond watershed for soil erosion decreasing using linear programing, A thesis of M.Sc. Tarbiat Modarres University (In Persian).
[5] James, L.A. (2004). Decreasing sediment yields in northern California: vestiges of hydraulic gold-mining and reservoir trapping, Sediment Transfer through the Fluvial System (Proceedings of the Moscow Symposium), IAHS Publ 288, 10p.
[6] Kousari, M.R., Saremi Naeini, M.A., Tazeh, M. and Frozeh, M.R. (2010). Sensitivity analysis of some equation for estimation of time of concentration in watersheds, Arid Biom Scientific and Research Journal, 1(1), 57-66 (In Persian).
[7] Lar Consulting Engineers (2000). A study of climatology, hydrology and sediment in the Kamal Saleh dam watershed, Tehran water Management Company (In Persian).
[8] Mahler, P.J. (1979). Manual of land classification for irrigation, 3ed Edition, Soil Instituted of Iran (In Persian).
[9] Muleta, M.K. and Nicklow, J.W. (2005). Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model, Journal of Hydrology, 306(1-4), 127-145.
[10] Nikkami, D. (2002). Optimization of soil erosion management in the Damavand watershed, Journal of Pajoohesh & Sazandegi, 54, 82-89 (In Persian).
[11] Nikkami, D., Shabani, M. and Ahmadi, H. (2009). Land use scenarios and optimization in a watershed, Journal of Applied Sciences, 9(2), 287-295.
[12] Omidvar, K. (2007). An introduction to watershed management, Yazd University publication (In Persian).
[13] Pakdaman, M. and Najafi, B. (2009). Using of multi-objective mathematical programing with absolute and phase approach for optimization land use determination: case study: Nilab plain in the Esfahan province, Agricultural Economy Journal, 1(2), 121-139 (In Persian).
[14] Pandey, A., Chowdaryand, V.M. and Mal, B.C. (2009). Sediment yield modelling of an agricultural watershed using MUSLE, remote sensing and GIS, Paddy Water Environ, 7, 105-113.
[15] Riedel, C. (2003). Optimizing land use planning for mountainous regions using LP and GIS towards sustainability, Journal of Soil Conservation, USA, 34(1), 121-124.
[16] Rijsdijk, A., Bruijnzeel, L.A. and Prins, T.M. (2007). Sediment yield from gullies, riparian mass wasting and bank erosion in the Upper Konto catchment, East Java, Indonesia, Geomorphology, 87 (1-2), 38-52.
[17] Rostami Khalaj, M., Mahdavi, M., Khalighi Sigarodi, Sh. and Salajeghe, A. (2012). Sensitivity analysis of variables affecting on urban flooding using SWMM model, Management of watershed Journal, 3(5), 81-91 (In Persian).
[18] Saltelli, A., Scott, E.M., Chan, K. and Marian, S. (2000). Sensitivity analysis, John Wiley and Sons: New York, USA.
[19] Sha'bani, M. (2008). Land use optimization for soil erosion decrease and income increase of watershed (Case Study: Kharestan Watershed), Journal of the Iranian Natural Res, 60(4), 1171-1183 (In Persian).
[20] Shively, G. and Coxhead, I. (2004). Conducting economic policy analysis at a landscape scale: examples from a Philippine watershed, Agriculture Ecosystem and Environment, 27(2), 159-170.
[21] Singh, A.K. and Singh, J.P. (1999). Production and benefit maximization through optimal crop planning: a case study of Mahi Command, Indian Journal of Soil Conservation, 27(2), 157-152.