Monitoring City Lands Use Changes toward Hazardous Areas(Case Study: City Area of Islamabad of west)

Document Type : Scientific Research

Authors

1 Assistant Professor, Payam Noor University of Kermanshah

2 Master of Geography and Urban Planning-Azad University-Kermanshah Branch

Abstract

Urban development and growth have been some factors of land use change in recent years. Awareness of the amount and the process of the made changes is essential in order to future planning. Therefore, this research has proceeded to the monitoring and analysis of land use change in the city area of Islamabad and the process of residential areas development towards hazardous areas. This research has used satellite images (Landsat 4, 7 and 8) of 1990, 2000, 2010, and 2018. After providing the land use map in ENVI software, the made changes has been analysed by using IDRISI software and Also, the process of development of residential areas for 2035 and 2050 has been predicted. Eventually, the research has evaluated the development process of residential areas in hazardous areas. The results of the study indicate that during a period of 28 years (from 1990 to 2018); the residential use has increased from 7.7 km2 in 1990 to 13.8 km2 in 2018. Moreover, the result of the change process prediction of residential areas suggest that these areas will increase to 16.5 and 18.7 km2 by 2035 and 2050. In addition, the results of the evaluation of residential areas development towards hazardous areas indicate that about 0.9 km2 of the whole residential areas have been in hazardous areas. This amount has increased to 1.5, 1.9, and 2.6 km2 for the years 2000, 2010 and 2018 the most of which relates to northern areas of city area of Islamabad of West.

Keywords

Main Subjects

References

  1. Arakhi, Saleh, Musazadeh, Hussain; Khodadad, Mahdi; Musa Parsaei, Seyyed Mohammad (2015), evaluation and analysis of physical development of middle cities by using RS and GIS (case study: Gonbad city), journal of geography and city planning of Zagros landscape, 7th period, no. 26, pages 17-42
  2. Ahmadi, Shirko (2017), analysis of physical development limitation of cities (case study: Sardasht city), journal of rural residency planning  studies, 12th period, no. 4, pages 953-972
  3. Barghi, Hamid, Shafiei, Bahman; Hajjarian, Ahmad (2018), study of life quality with the focus on urban management (case study: Islamabad of west), journal of urban management studies,  10th period, no. 34, pages 1-12
  4. Pourahmad, Ahmad, Salehi Mishani, Haidar; Vosoughirad, Leila; Romiani, Ahmad (2015), evaluation of Urmia city physical development in order to preserve vegetation and agricultural lands, scientific journal of research geography and planning, 19th period, no. 54, pages 83-103
  5. Haidarian, Peyman; Rangzan, Kazem; Malaki, Saeed; Taghizadeh, Ayoub (2014), the role of remote sensing, GIS, and LCM technique by approach of urban development modeling (case study: Tehran city), Geographic studies of dry lands, 5th period, no.7, pages 87-100
  6. Soleimani, Mohammad; Toulaei, Simin; Zanganeh, Ahmad; Ahmadi, Mazhar (2015), study of urban sprawl and inner development capacity of Saghez city, scientific journal of research new attitude in human geography, 7th year, no.3, pages 123-144
  7. Shayesteh, Kamran; Abedian, Sahar; Goldavi, Somayeh (2018), modelling of urban growth by using the logistic regression method based on Geomod model (case study: Kurdkouy city), geography and development journal, no. 51, pages 43-63
  8. Saffari, Amir; Ganjanian, Hamid; Freydouni Kurdistani, Mojdeh; Haidari, Zahra (2018), determining suitable urban development directions based on forbidden geomorphological areas, case study: Faresan city, natural geography journal, 11th year, no.39, pages 19-32
  9. Abedini, Musa; Moghimi, Ebrahim (2012), the role of geomorphological bottlenecks in physical development of Tabriz city in order to optimized using, geography and environmental planning magazine, 23rd period, no.1, pages 147-166
  10. Azizi Ghalati, Sara; Rangzan, Kazem; Taghizadeh, Ayoub; Ahmadi, Shahram (2014), modeling the lands use changes by using the logistic regression method in LCM model (case study: Kouhmarehsorkhi region in Faresan state) scientific journal of research Iran’s forest and poplar researches, volume. 22, no.4, pages 585-596
  11. Alaei Taleghani, Mahmood (2004), geomorphology of Iran, Ghoms Publications, 3rd edition, 388 pages
  12. Gholamalifard, Mahdi; Mirzaei, Mohsen; Jourabian Shoushtari, Sharif (2014), modeling the lands cover changes by using artificial nerve network and Markov chain (case study: middle coast of Bushehr state), magazine of remote sensing and geographical information system in natural resources, 5th year, no.1, pages 61-74
  13. Karimi, Shima; MirzaAli, Mohammad; Musazadeh, Hossain; Ghiasi, Samira; Tabrizi, Omid (2017), revelation of physical changes of city by using Landsat ETM images and Markov chain model, case study: Ardebil city, geography and regional planning journal, 7th year, no.2, pages 175-189
  14. Ghobadian Nejad, Mehran; Fallahi, Gholamreza (2018), physical development of Shiraz city and its effects on vegetation changes process by using cellular automata and fuzzy method  and satellite images, scientific-promotional journal of mapping and local information engineering, 9th period, no.3, pages 51-60
  15. Nayyeri, Hadi; Salari, Mamand; Ganjaeian, Hamid; Amani, Khabat (2017), geomorphological evaluation of earth suitability to physical development of Sanandaj by applying the forbidden areas, researches of urban planning geography, 5th period, no.1, pages 51-60
  16. Yousefi, Maryam; Ashrafi, Ali (2016), modeling the urban growth of Bojnourd city by using the remote sensing data (based on nerve network, Markov, and earth changes modeling), journal of regional planning, 6th year, no. 21, pages 179-192
  17. Dewan, A.M., Yamaguchi, Y. 2009. Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization, Applied Geography 29: 390–401.
  18. Jokar Arsanjani, J., Kainz, W., Mousivand, A. 2011. Tracking Dynamic Land Use Change Using Spatially Explicit Markov Chain Based on Cellular Automata: the Case of Tehran. International Journal of Image and Data Fusion, 2, pp: 329-345.
  19. Maithani, S., R.K. Jain & M.K. Arora, 2007. An Artificial Neural Network based approach for modelling urban spatial growth, ITPI Journal, 4: 43–51
  20. Ramachandran, T. V., Bharath, H. A., Vinay, S., Joshi, N. V., Kumar, U., Rao, K. V. 2013. Modelling urban revolution in greater Bangalore, India. In 30th Annual In-House Symposium on Space Science and Technology, ISRO-IISC Space Technology Cell, Indian Institute of Science, Bangalore, 7-8 November 2013.
  21. Roy, H.G. Fox, D.M. and. Emsellem, K (2014): Predicting Land Cover Change in a Mediterranean Catchment at Different Time Scales. Left Notes Compute SC Springer. 5, pp: 315-330, [doi: 10.1007/978-3-319-09147-1_23].
  22. Serra, P., Pons, X., Saur, D. 2008. Land-cover and land-use change in a Mediterranean landscape: A spatial analysis of driving forces integrating biophysical and human factors, Applied Geography 28: 189–209.
  23. Singh, P., Khanduri, K. 2011. Land use and land cover change detection through Remote Sensing& GIS technology: case study of Pathankot and Dhār Kalan tehsils, Punjab/international Journal of Geometrics and Geosciences, 4, 839-846.
  24. Yu, W., Zang, Sh., Wu, Ch., Liu, W. and Na, X. 2011. Analyzing and Modeling Land Use Land Cover Change (LUCC) in the Daqing City, China, Applied Geography, Vol. 31, No. 2, PP. 600608.

 

Journal of Urban Development and Architecture - Environment Identity ( JUDA-EI)
Volume 1, Issue 1 - Serial Number 1
January 2020
Pages 15-27

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History

  • Receive Date: 23 July 2019
  • Revise Date: 29 October 2019
  • Accept Date: 06 February 2020

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