تأثیر تغییرات کاربری اراضی بر تشکیل جزایر گرمایی با استفاده از سنجش از دور (مطالعۀ موردی: شهر کرمان)

نوع مقاله : مقاله پژوهشی

نویسندگان

1 پژوهشگر پسا دکتری گروه احیاء مناطق خشک کوهستانی، دانشکده کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران

2 دانشجوی دکتری گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه تهران، کرج، ایران

3 دانشیار دانشکده منابع طبیعی دانشگاه تهران، کرج، ایران

4 استادیار دانشکده کشاورزی، دانشگاه جیرفت، جیرفت، ایران

چکیده

تغییرات کاربری از عوامل مؤثر بر تغییر پارامترهای محیط زیستی از جمله دمای سطح زمین است. این افزایش دمای سطح زمین، بسترهای زندگی بشر، سلامت آن و اکوسیستم پیرامون آن را به‌شدت تحت تأثیر قرار می‌دهد. این تحقیق با هدف بررسی روند تغییرات کاربری اراضی محدودۀ شهری کرمان و بررسی اثرگذاری این تغییرات بر دمای سطح زمین، با استفاده از اطلاعات ماهوارۀ لندست OLI و TM در دامنۀ زمانی 1369 تا 1399 انجام گرفت. برای تحقق این هدف، تغییرات کاربری در شش طبقۀ عمدۀ مناطق مسکونی و انسان‌ساخت، پوشش گیاهی، اراضی بایر با پوشش گیاهی کم و اراضی شور بدون پوشش گیاهی بررسی شد. نتایج نشان داد که در دامنۀ زمانی پژوهش، مناطق مسکونی و انسان‌ساخت افزایش 20/14 درصدی و کاربری‌های پوشش گیاهی، اراضی بایر با پوشش گیاهی کم و اراضی شور و بدون پوشش گیاهی نیز به‌ترتیب کاهش 3/76، 8/23 و 2/22 درصدی داشتند. این تغییرات کاربری با ضریب کاپا و دقت کلی بیش از 0/87 و 90 درصد نشان‌دهندۀ دقت کافی در طبقه‌بندی است. براساس بررسی تغییرات شاخص LST و NDVI، در دامنۀ زمانی بین سال 1369 تا 1399 مقدار متوسط شاخص LST از 42/26 درجۀ سانتی‌گراد در سال 1369 به 47/4 درجۀ سانتی‌گراد در سال 1399 رسید. مساحت طبقات بیشتر از 33 درجۀ سانتی‌گراد  LSTدر طول این دامنۀ زمانی روند افزایشی داشت؛ به‌طوری‌که مساحت آن از 33/6 درصد در سال 1369 به حدود 31/46 درصد در سال 1399رسید. مقادیر شاخص NDVI تا سال 1389 کاهشی بود، اما در سال 1399 مقدار این شاخص افزایش یافت. بررسی تغییرات دما در کاربری‌های مختلف نیز نشان داد که در سال 1369 بیشترین دمای سطح زمین مربوط به کاربری اراضی شور و بدون پوشش گیاهی با متوسط دمای 47/30 درجۀ سانتی‌گراد بود، درحالی ‌که در سال‌های 1379، 1389 و 1399 بیشترین مقدار متوسط دما با 51/46، 30/47 و 64/50 درجۀ سانتی‌گراد، به‌ترتیب مربوط به کاربری مناطق شهری و انسان‌ساخت بود. بنابراین نتایج این تحقیق می‌تواند به برنامه‌ریزان شهری و سیاستگذاران برای توسعۀ پایدار و به حداقل رساندن تأثیرات جزیرۀ گرمایی شهری کرمان کمک چشمگیری کند.

کلیدواژه‌ها

عنوان مقاله [English]

The effect of land use change on the formation of heat islands using remote sensing (Case study: Kerman)

نویسندگان [English]

  • Hadi Eskandari Damneh 1
  • Hamed Eskandari Damaneh 1
  • Meysam Cheraghi 2
  • Hassan Khosravi 3
  • Mohsen Adeli Sardooei 4

1 Postdoctoral researcher, Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Iran

2 Ph.d Candidate, Department of Soil science, Faculty of Agricultural engineering & technology, University of Tehran, Karaj, Iran

3 Associate Professor, Faculty of natural resources, University of Tehran, Karaj, Iran

4 Assistant Professor,, Faculty of Agriculture, University of Jiroft, Jiroft, Iran

چکیده [English]

Land use change is one of the factors affecting changes in the environmental parameters, such as land surface temperature. This increase in surface temperature severely affects human life, its health, and the ecosystem around it. In this regard, the present study was conducted to investigate the trend of landuse changes in the urban area of Kerman City and the resulting effects on surface temperature using Landsat OLI and TM satellite data from a period of 1990 to 2020. To achieve this goal, landuse changes in the six major classes of Residential and Man-made areas, Vegetation, Barrenlands with low vegetation, and Saline-lands without vegetation were studied. The results showed that in the study period, Residential and Man-made areas increased by 14.20%, and Vegetation landuses, Barrenlands with low vegetation, and Saline-lands without vegetation also decreased by 3.76, 8.23 and 2.22 percent, respectively.  The landuse changes were detected with a 0.87 kappa coefficient and overall accuracy above 0.90, which indicates sufficient accuracy in classification.The results showed that during the study period, the average value of the LST index increased from 42.26 ° C in 1990 to 47.4 ° C in 2020. The area of the classes above 33 ° C LST has also increased from 6.33% in 1990 to around 31.46% in 2020. The values of the NDVI index were decreasing until 2010, but by 2020, the value of this index has increased again. Node-wise, the study also showed that in 1990, the highest value of land surface was related to Saline-lands without vegetation with an average temperature of 47.30 ° C while in 2000, 2010, and 2020, the highest average temperatures with values of 46.51, 47.30, and 50.64 ° C were respectively related to Urban and Man-made areas. Accordingly, the results obtained in this study can significantly help urban administrators and policymakers with sustainable development and minimize the effects of Kerman's urban heat island.

کلیدواژه‌ها [English]

  • Vegetation
  • Surface temperature
  • Remote sensing
  • Kerman city
  • Landsat satellite
Abutaleb, K., Ngie, A., Darwish, A., Ahmed, M., Arafat, S., Ahmed, F., 2015. Assessment of urban heat island using remotely sensed imagery over Greater Cairo, Egypt. Advances in Remote Sensing 4(01), 35.
Ahmadaali, K., Damaneh, H. E., Ababaei, B., Damaneh, H.E., 2021. Impacts of droughts on rainfall use efficiency in different climatic zones and land uses in Iran. Arabian Journal of Geosciences 14(2), 1-15.
Al Rakib, A., Akter, K.S., Rahman, M.N., Arpi, S., Kafy, A.A., 2020. Analyzing the pattern of land use land cover change and its impact on land surface temperature: a remote sensing approach in mymensingh, Bangladesh. In 1st Int. Student Res. Conf.
Alamgir, M., Khan, N., Shahid, S., Yaseen, Z.M., Dewan, A., Hassan, Q., Rasheed, B., 2020. Evaluating severity–area–frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios. Stochastic Environmental Research and Risk Assessment 34(2), 447-464.
Arabi Aliabad, F., Zare, M., Mokhtari, M., 2020. Predicting seasonal soil depth temperature changes in the Yazd- Ardakan plain using Landsat 8 satellite images and Artificial Neural Network Technique 9(2), 85-102. (In Persian).
Arekhi, M., Goksel, C., Balik Sanli, F., Senel, G., 2019. Comparative evaluation of the spectral and spatial consistency of Sentinel-2 and Landsat-8 OLI data for Igneada longos forest. ISPRS International Journal of Geo-Information 8(2), 56.
Darvishi, S., rashidpour, M., soleimani, K., 2019. Analysis of Land Use Role in the Formation of Thermal Islets of Marivan County Using Landsat Satellite Images. Geography and Development Iranian Journal 17(54), 143-162. (In Persian).
Debnath, A., Kumar, R., Singh, T., Prawasi, R., 2020. The Impact of Rapid Urbanization on Vegetation Cover and Land Surface Temperature in Barasat Municipal Area. Sustainable Development Practices Using Geoinformatics 1-21.
Eskandari Damaneh, H., Eskandari Damaneh, H., Khosravi, H., Gholami, H., 2019. Analysis and monitoring of drought using NDVI index (Case study: the west basin of Jaz Murian wetland). Rangeland 13(3), 461-475. (In Persian).
Eskandari Damaneh, H., Gholami, H., Khosravi, H., Mahdavi Najafabadi, R., Khoorani, A., Li, G., 2020. Modeling Spatial and Temporal Changes in Land-Uses and Land Cover of the Urmia Lake Basin Applying Cellular Automata and Markov Chain. Geography and Sustainability of Environment 10(2), 57-72. (In Persian).
Eskandari Damaneh, H., Jafari, M., Eskandari Damaneh, H., Behnia, M., Khoorani, A., Tiefenbacher, J.P., 2021. Testing Possible Scenario-Based Responses of Vegetation Under Expected Climatic Changes in Khuzestan Province. Air, Soil and Water Research 14, 11786221211013332.
Eskandari Damaneh, H., Zehtabian, G., Khosravi, H., Azarnivan, H., Barati, A., 2020. Investigating the Influence of Drought on Trend of Vegetation Changes in Arid and Semiarid Regions, Using Remote Sensing Technique: A Case Study of Hormozgan province. Desert Ecosystem Engineering Journal 9(28), 13-28. (In Persian).
Eskandari Damaneh, H., Zehtabian, G., Salajegheh, A., Ghorbani, M., Khosravi, H., 2018. Assessing the effect of land use changes on groundwater quality and quantity (Case study: west basin of Jazmoryan wetland). Journal of Range and Watershed Managment, 71(3), 563-578. (In Persian).
Eskandari Damaneh, H., Zehtabian, G.R., Khosravi, H., Azarnivand, H., Barati, A., 2021. Simulation of future spatial and temporal changes in land uses and cover in arid areas (Case study: Minab plain). Journal of Range and Desert Research 28(3), 520-536. (In Persian).
Eskandari, H., Borji, M., Khosravi, H., Nakhaee Nejadfar, S., Eskandari, H., 2016. Change Detection of of Bakhtegan and Tashk Basin during 2001-2013. International Journal of Forest, Soil and Erosion (IJFSE) 6(2), 67-71.
Estoque, R. C., Murayama, Y., 2012. Examining the potential impact of land use/cover changes on the ecosystem services of Baguio city, the Philippines: a scenario-based analysis. Applied Geography 35(1-2), 316-326.
Guo, A., Yang, J., Sun, W., Xiao, X., Cecilia, J. X., Jin, C., Li, X., 2020. Impact of urban morphology and landscape characteristics on spatiotemporal heterogeneity of land surface temperature. Sustainable Cities and Society 63, 102443.
Hossain, M. S., Arshad, M., Qian, L., Kächele, H., Khan, I., Islam, M. D. I., & Mahboob, M. G., 2020. Climate change impacts on farmland value in Bangladesh. Ecological indicators. 112, 106181.
IPCC, 2014. Mitigation of climate change. Contrib. Work. Gr. III to Fifth Assess. Rep. Intergov. Panel Climate Change 1454.
Isazade, V., asiabi, S., isazadeh, E., 2021. Surface temperature monitoring using Landsat 8 images and single channel and separate window algorithms (Study area: Dezful city). Geography and Human Relationships 3(3), 8-25. (in Persian).
Jiménez-Muñoz, J., Sobrino, J., 2010. Split-Window Coefficients for Land Surface Temperature retrieval from Low-Resolution Thermal Infrared Sensors, IEEE Geoscience and Remote Sensing Letters 5, 806-809.
Jiménez-Muñoz, J., Sobrino, J., Jiménez, D., Mattar, C., Cristóbal, J., 2014. Land Surface Temperature Retrieval Methods from Landsat-8 Thermal Infrared Sensor Data. IEEE Geoscience and Remote Sensing Letters 11, 1840-1843.
Kafy, A.A., Rahman, M.S., Hasan, M.M., Islam, M., 2020. Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh. Remote Sensing Applications: Society and Environment 18, 100314.
Khanjani, N., Ahmadzadeh, A., Bakhtiari, B., Madadizadeh, F., 2017. The role of season and climate in the incidence of congenital hypothyroidism in Kerman province, Southeastern Iran. Journal of Pediatric Endocrinology and Metabolism 30(2), 149-157.
Khosravi, H., Azareh, A., Dameneh, H.E., Sardoii, E.R., Dameneh, H.E., 2017. Assessing the effects of the climate change on land cover changes in different time periods. Arabian Journal of Geosciences 10(4), 93.
Li, H., Peng, J., Yanxu, L., Yi’na, H., 2017. Urbanization impact on landscape patterns in Beijing City, China: A spatial heterogeneity perspective. Ecological Indicators 82, 50-60.
Mohimi, A., Fadaei Qotbi, M., Esmaeily, A., Ghazanfarpour, H., 2019. Urban sprawl analysis of the city of Kerman via remote sensing. Journal of Urban Social Geography 6(1), 139-156. (In Persian).
Mojarrad, F., Naseriyeh, M., Hashemi, S. 2018. Investigation of Periodic and Seasonal Variations of Urban Heat Island (UHI) at Night and Day Using Satellite Imagery in Kermanshah City. Journal of the Earth and Space Physics 44(2), 479-494.
Naikoo, M.W., Islam, A.R.M.T., Mallick, J., Rahman, A., 2022. Land use/land cover change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city. Urban Climate 41, 101052.
Rahman, M.S., Mohiuddin, H., Kafy, A.A., Sheel, P.K., Di, L., 2019. Classification of cities in Bangladesh based on remote sensing derived spatial characteristics. Journal of Urban Management 8(2), 206-224.
Rugel, E. J., Henderson, S. B., Carpiano, R. M., Brauer, M., 2017. Beyond the Normalized Difference Vegetation Index (NDVI): developing a natural space index for population-level health research. Environmental Research 159, 474-483.
Saedpanah, M., Amanoallahi, J., Ghorbani, F., 2021. Investigating the effect of land use changes on land surface temperature in cold and semi-arid areas (Case study: Central Zone of Sanandaj City). Journal of Natural Environment. 74(1), 69-82. (in Persian).
Shabani, M., Darvishan, S., Solaimani, K., 2019. Investigating the Effects of Land Use Change on Spatiotemporal Patterns of Land Surface Temperature and Thermal Islands (Case Study: Saqqez County). Geography and Environmental Planning 30(1), 37-54. (In Persian).
Skndari Dameneh, H., Khosravi, H., Abolhasani, A., 2019. Assessing the Effect of Land Use Changes on Groundwater Quality of Zarand Plain using Satellite Images and Geostatistical. Journal of Natural Environmental Hazards 8(20), 67-82. (In Persian).
Sobrino, J. A., Jiménez-Muñoz, J. C., Paolini, L., 2004. Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment 90(4), 434-440.
Ullah, S., Ahmad, K., Sajjad, R. U., Abbasi, A. M., Nazeer, A., Tahir, A. A., 2019. Analysis and simulation of land cover changes and their impacts on land surface temperature in a lower Himalayan region. Journal of environmental Management 245, 348-357.
Wang, R., Cai, M., Ren, Ch., Bechtel, B., Xu, Y., Ng, E., 2019. Detecting multitemporal land cover change and land surface temperature in Pearl River Delta by adopting local climate zone. Urban Climate 28, 1-16.
Weng, Q., 2001. A remote sensing? GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing 22(10), 1999-2014.
Yang, J., Zhan, Y., Xiao, X., Xia, J. C., Sun, W., Li, X., 2020. Investigating the diversity of land surface temperature characteristics in different scale cities based on local climate zones. Urban Climate 34, 100700.
Zhao, C., Jensen, J. L., Weng, Q., Currit, N., Weaver, R., 2020. Use of Local Climate Zones to investigate surface urban heat islands in Texas. GIScience & Remote Sensing 57(8), 1083-1101.