Evaluation of geomorphologic landforms for the development of Human Settlements (Case Study:Southwest Township of Razavi Khorasan Province(
Subject Areas : Urban and Regional Planning StudiesMousa Abbasi 1 , Mazhar Ahmadi 2
1 - Ph.D. Candidate of Geomorphological Hazards, Kharazmi University, Tehran, Iran.
2 - Ph.D, Candidate in Geography and Urban Planning, Kharazmi University, Tehran, Iran.
Keywords: Khorasan Razavi, land use, geomorphology, Fuzzy model, Human Settlements,
Abstract :
Development and establishment of settlements in direct contact with the natural base and geomorphology effects. Because of the topography and geology of the study area has certain limitations in terms of localization and development of their human settlements. In order to reduce the risks of the South West province of Khorasan Razavi and modify future plans of development and human settlements, to assess the feasibility of the study area was investigated. After studies and library and a selection of appropriate measures, using phase logic models, and GIS software to help, areas prone to develop settlements were determined. In this study was to identify suitable areas for development and the creation of settlements in the study area based on Landform, from eleven parameters, slope, aspect, elevation, soil, land use, elevation, distance to fault, distance from the river, away from the road distance from settlements, geomorphology as independent variables in recognizing the potential and geomorphological constraints in the region were selected. Finally, after zoning based on phase model, the results showed that about 61 percent of the study area is located on the floors very poor and poor, which means unfavorable geomorphological conditions in this part of the study area to develop settlements are human. About 16.40% of the study area has average conditions for the development and creation of new human settlements respectively. And about 23 percent of the area under study geomorphological area of favorable conditions for construction activity and the construction of new residential areas are.
Altman, D. (1994). Fuzzy set theoretic approaches for handling imprecision in spatial analysis. International Journal Geographical Information Systems, 8 (3) 271–289.
Anabstani, A.A. (2011). The role of natural factors in stability of rural settlements (case study: Sabzevar county). Geography and Environmental Planning, 40 (4), 89-104. (In Persian)
Azizi, A. A. (2004). Measuring rural development levels and identifying central villages in order to provide a suitable hierarchical model of service in villages in Farahan Negrosh, Master thesis, Department of Promotion, University of Tehran. (In Persian)
Bahrami, R. (2012). Geographical Basis, the Instability of the Environment and Rural Settlements (Case study: city of Sanandaj). Journal of Roural Research, 2(7), 145-167. (In Persian)
Chen J., Shufang Zhao, Huimin Wang. (2011). Risk Analysis of Flood Disaster Based on Fuzzy Clustering Method, Energy Procedia, 5, 1915-1919.
Esfandiari, M. (2014). The role of geomorphologic factors in physical development of Arak city, Master thesis, Shahid Beheshti University. (In Persian)
Ghadiri-masoum M, et al. (2013). The Role of Physical Factors upon Spatial Distribution of Rural Settlements in Torbat-Jam, (4) 2, 33-54. (In Persian)
Hassani, Q. et al. (2012). Designing Fuzzy-Based Ground Water Quality Index. Journal of Health, 3 (1),18-31. (In Persian)
Kanungo, D. P., Arora, M. K., Sarkar, S. and Gupla, R. P (2006) A, Comparative study of conventional, ANN, black box, FUZZY and combined neural and FUZZY weighting procedures for landslide susceptibility zonation in darjeling Himalayas. Engineering geology. 15.
Kanungo, D. P., Arora, M. K.,Sarkar, S., Gupta,R. P., (2006) A comparative study of conventional, ANN, black box, fuzzy and combined neural and fuzzy weighting procedures for landslide susceptibility zonation in Darjeeling Himalayas. Engineering Geology, 85, 347-366.
Liu, Y., S, R. Phinn. (2003). modeling urban development with cellular automata incorporating fuzzy-set approaches. Computers, Environment and Urban Systems, 27(6), 637.658.
Mary nouni Gresswell.R.E. (2013). Spatoal and temporal patterns of debrise-flow deposition in the Oregoncoast ange. U.S.A, geomorphology, 57, 59-70.
Matkan, A. A. et al. (2010). Decisive and fuzzy decision-making in locating general class parking. Journal of Environmental Science, 6(1), 207-222. (In Persian)
Nader Sadeh, M .H. (2001). Geomorphology of urban areas. (1th Ed). Tehran: Publication Samt. (In Persian)
Negaresh, H. (2004). Application of geomorphology in the location of cities and its implications. Geography & Development Iranian Journal, 1(1), pp1-186. (In Persian)
Pourahmad, A. et al. (2007). Using Fuzzy Algorithm and GIS to Locate Urban Equipment (Case Study: Babolsar Township Landfill). Tournal of Environmental Studies, 42, 31-42. (In Persian)
Rydin, Y., (2003). Urban and Environmental Planning in the UK. Palgrave Macmillan, Hampshire.
Saffari, A. (2000). Geomorphological capabilities and limitations of Tehran metropolis for development and safety, Ph.D. thesis, Faculty of Geographical Sciences, University of Tehran. (In Persian)
Smith, K., (1996). Environmental hazard: Chapman.
Sowlat MH. A. (2011). Novel, fuzzy-based air quality index (FAQI) for air quality assessment, Atmospheric Environment, 45, 2050-2059.
Srinivas, V. V., Shivam Tripathia, A. Ramachandra Rao, Rao S. Govindaraju. (2008). Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering, Journal of Hydrology, 348, 148-166.
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