Investigation and modeling of land use changes in Mahabad county using Markov chain model

Document Type : Research Paper

Authors

1 Master Student, Faculty of Planning and Environmental Sciences, University of Tabriz

2 University of Tabriz

3 Academic Sttaf

10.22034/gp.2024.60347.3231

Abstract

In the present research, the evaluation of land use changes in Mahabad county in a twenty-year period from 2000 to 2020 and the prediction of its possible trends until 2040 have been discussed. In this research, the images of ETM and OLI sensors of Landsat satellite in three years of 2000, 2010 and 2020 and the supervised classification have been used to detect the changes that have occurred. In addition, in order to simulate land use changes, Markov model and cellular automata have been used. Based on our results, the highest trend of increase was related to the built-up lands and the highest trend of decrease was related to the water bodies of the region. In other words, the area of built-up lands increased from 2367.67 hectares to 71006.08 hectares. Besides, the area of water bodies has reached from 9266.63 hectares to 1164.28 hectares, respectively. In addition, based on the results of the Markov model, it is expected that the trend of land use changes will decrease the area of agricultural lands by 1473.1 hectares, orchards and forests by 810.11 hectares, pasture land by 16455.4 hectares and water bodies by 545.69 hectares. On the other hand, these changes will be accompanied by an increase in the area of barren lands by 11831.72 hectares and built-up lands by 7448.42 hectares. Therefore, the possible trend of changes indicates an increase in the level of barren lands and built-up lands and a decrease in other land uses. The results of the present research highlighted the need to pay attention to the challenge of land use change in Mahabad county and can provide a proper understanding of the dimensions, trends and patterns of land use in the region to officials, researchers and local people.

Keywords

Main Subjects


ارزیابی تغییرات کاربری سطح زمین برای دستیابی به اطلاعات مستمر و دقیق در ارتباط با پویایی مناطق مختلف در یک دوره زمانی خاص برای هر نوع برنامه‌ریزی توسعه بسیار مهم است. بر همین اساس، در تحقیق حاضر به مطالعه و ارزیابی روند تغییرات کاربری اراضی شهرستان مهاباد در یک بازه زمانی بیست ساله از 2000 تا 2020 و پیش‌بینی روندهای احتمالی آن تا سال 2040 پرداخته شده است. در تحقیق حاضر، از تصاویر سنجنده‌های ETM و OLI ماهواره لندست در سه تاریخ 2000، 2010 و 2020 و تکنیک طبقه‌بندی نظارت‌شده برای تشخیص تغییرات رخ‌داده بهره گرفته شده است. هم‌چنین، به‌منظور مدل‌سازی تغییرات کاربری اراضی از مدل زنجیره مارکوف و سلول‌های خودکار استفاده شده است. مطابق نتایج، اراضی ساخته شده بیشترین افزایش مساحت و پهنه‌های آبی بیشترین کاهش مساحت را نشان داده‌اند به‌نحوی که مساحت اراضی ساخته شده از 67/2367 هکتار به 08/71006 هکتار و مساحت پهنه‌های آبی از 63/9266 هکتار به 28/1164 هکتار رسیده است. علاوه بر این، نتایج مدل مارکوف چنین نشان می‌دهد که روند تغییرات کاربری اراضی منطقه موجب افزایش سطح اراضی بایر و اراضی ساخته شده و کاهش سطح دیگر اراضی شده و چنین انتظار می‌رود که مساحت اراضی زراعی به میزان 1/1473 هکتار، باغات و جنگل‌ها به میزان 11/810 هکتار، اراضی مرتعی به میزان 4/16455 هکتار و پهنه‌های آبی به میزان 69/545 با کاهش و در مقابل، مساحت اراضی بایر به میزان  72/11831 هکتار و اراضی ساخته شده به میزان 42/7448 هکتار افزایش خواهد یافت. به‌طور کلی، پیش‌بینی‌ها روند فزاینده گسترش اراضی ساخته شده و مسکونی و نیز کاهش روزافزون گستره پهنه‌های آبی منطقه را برجسته نموده است که این روند می‌تواند پیامدها و تبعات بسیاری بر توسعه پایدار شهرستان مهاباد به دنبال داشته باشد. بنابراین، نتایج تحقیق حاضر ضرورت توجه به مبحث تغییر کاربری اراضی در محدوده شهرستان مهاباد را برجسته نموده و می‌تواند شناخت مناسبی از ابعاد منفی، روندها و الگوهای کاربری زمین در منطقه به مسئولان، محققان و مردم محلی ارائه دهد.   

Ebrahimi, Hamid; Rasouli, Ali Akbar; Ahmadpour, Ahmad. (2018). Modeling of land use dynamics changes using object-oriented processing of satellite images and CA-Markov model. Case study: Shiraz city. Geographic Information "Sepehr", 27(108), 137-149. [In Persian]
Akbari, Ebrahim; Zandi, Rahman; Kalateh-e-Mimari, Roghieh. (2019). Analysis and prediction of Mashhad city expansion using multi-temporal satellite images and Markov chain (during 1379-1404). Geography and Environmental Hazards, 8(2), 149-166. [In Persian]
Ildarmi, Ali Reza; Nouri, Hamid; Naderi, Mahin; Aghabeigi Amin, Soheila; Zeinivand, Hossein. (2017). Prediction of land use changes using Markov chain model and CA Markov (Case study: Green watershed). Watershed Management Research Journal, 8(16), 232-240. [In Persian]
Rezaei Moghadam, Mohammad Hossein; Rajabi, Masoumeh; Mousavi, Masoumeh. (2013). Investigating and monitoring land use changes in the Zard River watershed using remote sensing and Markov chain model. Geography and Planning, 27(83), 49-61. [In Persian]
Salarian, Fatemeh; Tatian, Mohammad Reza; Qanqormeh, Abdol Azim; Tamertash, Reza. (2012). Modeling land cover changes in Golestan province using land use change modeling (Land Change Modeler). Remote Sensing and Geographic Information Systems in Natural Resources, 12(4), 47-70. [In Persian]
Shanani Hoveyzeh, Seyedeh Maedeh; Zarei, Heydar. (2016). Investigating land use changes over a two-decade period (case study: Abu al-Abbas watershed). Watershed Management Research, 7 (14), 244-237. [In Persian]
Shia, Esmaeil (2012). Introduction to Urban Planning. Tehran: Iran University of Science and Technology Press. [In Persian]
Karimi Firouzjaei, Mohammad; Kiavarz, Majid; Kalantari, Mohsen. (2018). Monitoring and Forecasting Land Use Changes and Physical Expansion of Babol City in the Period 1364-1419 Using Multitemporal Landsat Images. Physical Development Planning, 5(3), 32-52. [In Persian]
Statistics Center of Iran. (2000). Statistical Yearbook of West Azerbaijan Province. National Statistics Portal: https://amar.org.ir/[In Persian]
Nikpour, Amer; Ammonia, Hamid; Noorpasandi, Elahe. (2000). Monitoring and Forecasting Land Use Changes Using Landsat Satellite Images Using Automated Cells and Markov Chain Methods (Case Study: Abbas Abad Region, Mazandaran Province). Remote Sensing and Geographic Information Systems in Natural Resources, 12(2), 35-53.[In Persian]
Ahmad, B., & Ahmed, R. (2012). Modeling urban land cover growth dynamics using multi-temporal Satellite image: a case study Dhaka, Bangladesh. International Journal of Geo Information, 1(1), 3-31.
Akbari, E., Zandi, R., & kalatah Meymari, R. (2019). Analyzing and forecasting the expansion of Mashhad City from 2000 to 2025 through multi-temporal Satellite imagery and Markov chain. Journal of Geography and Environmental Hazards, 8(2), 149-166. (In Persian)
Alsharif, M., Alzandi, A. A., Shrahily, R., & Mobarak, B. (2022). Land use land cover change analysis for urban growth prediction using Landsat satellite data and Markov chain model for Al Baha Region Saudi Arabia. Forests, 13(10), 1530.
Bekele, B., Wu, W., & Yirsaw, E. (2019). Drivers of land use-land cover changes in the central rift valley of Ethiopia. Sains Malays, 48(7), 333-1345.
Chang, Y., Hou, K., Li, X., Zhang, Y., & Chen, P. (2018). Review of land use and land cover change research progress. In IOP Conference Series: Earth and Environmental Science (Vol. 113, p. 012087). IOP Publishing.
Chaturvedi, S., Shukla, K., Rajasekar, E., & Bhatt, N. (2022). A spatio-temporal assessment and prediction of Ahmedabad’s urban growth between 1990–2030. Journal of Geographical Sciences, 32(9), 1791-1812.
Chowdhury, M., Hasan, M. E., & Abdullah-Al-Mamun, M. M. (2020). Land use/land cover change assessment of Halda watershed using remote sensing and GIS. The Egyptian Journal of Remote Sensing and Space Science, 23(1), 63-75.
Dibaba, W. T., Demissie, T. A., & Miegel, K. (2020). Drivers and implications of land use/land cover dynamics in Finchaa catchment, northwestern Ethiopia. Land, 9(4), 113.
Dinka, M. O., & Chaka, D. D. (2019). Analysis of land use/land cover change in Adei watershed, Central Highlands of Ethiopia. Journal of Water and Land Development.
Duhamel, C. (2003). Land Use and land cover, including their classification in Land use, land cover and Soil Sciences.
Ebrahimy, H., Rasuly, A., & Ahmadpour, A. (2019). Modeling dynamic changes of Land Use with Object Based Image Analysis and CA-Markov approach (Case study: Shiraz city). Scientific- Research Quarterly of Geographical Data (SEPEHR), 27(108), 137-149. (In Persian)
Emiru, T., Naqvi, H. R., & Athick, M. A. (2018). Anthropogenic impact on land use land cover: influence on weather and vegetation in Bambasi Wereda, Ethiopia. Spatial Information Research, 26, 427-436.
Gomes, E., Inácio, M., Bogdzevič, K., Kalinauskas, M., Karnauskaitė, D., & Pereira, P. (2021). Future land-use changes and its impacts on terrestrial ecosystem services: A review. Science of The Total Environment, 781, 146716.
Gul, S., Bibi, T., Rahim, S., Gul, Y., Niaz, A., Mumtaz, S., & Shedayi, A. A. (2023). Spatio-temporal change detection of land use and land cover in Malakand Division Khyber Pakhtunkhwa, Pakistan, using remote sensing and geographic information system. Environmental Science and Pollution Research30(4), 10982-10994.
Hailemariam, S. N., Soromessa, T., & Teketay, D. (2016). Land use and land cover change in the bale mountain eco-region of Ethiopia during 1985 to 2015. Land, 5(4), 41.
Haque, M. I., & Basak, R. (2017). Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science, 20(2), 251-263.
Hassan, Z., Shabbir, R., Ahmad, S. S., Malik, A. H., Aziz, N., Butt, A., & Erum, S. (2016). Dynamics of land use and land cover change (LULCC) using geospatial techniques: a case study of Islamabad Pakistan. SpringerPlus, 5, 1-11.
Horning, N. (2004). Land cover classification methods. Remote Sensing & Geographic Information Systems Facility. Remote Sensing Resources. Center for Biodiversity and Conservation at the American Museum of Natural History.
Ildoromi, A., Nori, H., Naderi, M., Aghabeigi, A., & Zeinvand, H. (2017). (2018). Land use change prediction using Markov chain and CA Markov Model (Case Study: Gareen Watershed). jwmr8(16), 232-240. (In Persian)
Karimi Firozjaei, M., Kiavarz, M., & Kalantari, M. (2018). Monitoring and prediction of land use changes and physical expansion of Babol city during 1985-2040 using multi-temporal Landsat imagery. Physical Social Planning, 5(3), 32-52. (In Persian)
Liu, Q., & Gong, F. (2013). Monitoring land use and land cover change: a combining approach of change detection to analyze urbanization in Shijiazhuang, China.
Mathewos, M., Lencha, S. M., & Tsegaye, M. (2022). Land use and land cover change assessment and future predictions in the Matenchose Watershed, Rift Valley Basin, using CA-Markov simulation. Land, 11(10), 1632.
Meyer, W. B., & Turner, B. L. (1996). Land-use/land-cover change: challenges for geographers. GeoJournal, 39(3): 237-240.
Nikpour, A., Amounia, H., & Nourpasandi, E. (2021). Monitoring and predicting land use changes using landsat satellite images by Cellular Automata and Markov model (Case study: Abbasabad area, Mazandaran province). Journal of RS and GIS for Natural Resources, 12(2), 35-53. (In Persian)
Pande, C. B., Moharir, K. N., Khadri, S. F. R., & Patil, S. (2018). Study of land use classification in an arid region using multispectral satellite images. Applied Water Science, 8, 1-11.
Phiri, D., & Morgenroth, J. (2017). Developments in Landsat land cover classification methods: A review. Remote Sensing, 9(9), 967.
Rezaei Moghaddam, M. H., Rajabi, M., & Mousavi, M. (2023). Assessing and Monitoring of land Use Changes in the Zard River Drainage Basin Using Remote Sensing and Markov Chain Model. Journal of Geography and Planning, 27(83), 49-61. (In Persian)
Rounsevell, M. D., Pedroli, B., Erb, K. H., Gramberger, M., Busck, A. G., Haberl, H., & Wolfslehner, B. (2012). Challenges for land system science. Land use policy, 29(4), 899-910.
Roy, P. S., & Roy, A. (2010). Land use and land cover change in India: Aremote sensing & GIS prespective. Journal of the Indian institute of science, 90(4), 489-502.
Salarian, F., Tatian, M., Ghanghermeh, A., & Tamartash, R. (2021). Modeling land cover changes in Golestan province using land change modeler (LCM). Journal of RS and GIS for Natural Resources, 12(4), 47-70. (In Persian)
Shanani Hoveyzeh, S. M., & Zarei, H. (2017). Investigation of Land Use Changes During the Past Two Last Decades (Case Study: Abolabas Basin). jwmr7(14), 244-237. (In Persian)
Shieh, E. (2010). Introduction to urban planning. Tehran, Iran University of Science and Technology (IUST). (In Persian)
Soulard, C. E., & Wilson, T. S. (2015). Recent land-use/land-cover change in the Central California Valley. Journal of Land Use Science, 10(1), 59-80.
Verburg, P. H., Van De Steeg, J., Veldkamp, A., & Willemen, L. (2009). From land cover change to land function dynamics: A major challenge to improve land characterization. Journal of environmental management, 90(3), 1327-1335.
Xu, X., Shrestha, S., Gilani, H., Gumma, M. K., Siddiqui, B. N., & Jain, A. K. (2020). Dynamics and drivers of land use and land cover changes in Bangladesh. Regional Environmental Change, 20, 1-11.
Younes, A., Ahmad, A., Hanjagi, A. D., & Nair, A. M. (2023). Understanding Dynamics of Land Use & Land Cover Change Using GIS & Change Detection Techniques in Tartous, Syria. European Journal of Geography, 14(3), 20-41.