نشریه محیط زیست طبیعی

پایش ماهواره‌ای تغییرات زمانی-مکانی دمای سطح زمین در استان خراسان جنوبی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه آب و هواشناسی، دانشکده ادبیات و علوم انسانی، دانشگاه سیدجمال الدین اسدآبادی، اسدآباد، ایران

2 کارشناس هواشناسی، مدیرکل هواشناسی استان خراسان جنوبی، بیرجند، ایران

3 معاونت توسعه و پیش‌بینی هواشناسی خراسان جنوبی، بیرجند، ایران

چکیده

دمای سطح زمین، تابعی از انرژی خالص در سطح زمین است که به مقدار انرژی رسیده به سطح، گسیلندگی، رطوبت، جریان هوای جوی، توپوگرافی و شرایط اقلیمی منطقه بستگی دارد. در این پژوهش از داده­ های روزانة سنجندة مودیس ماهواره تررا جهت تحلیل تغییرات زمانی-مکانی دمای سطح زمین در استان خراسان جنوبی استفاده شده است. بازة زمانی این داده ­ها، روزانه و از سال1381 تا 1398 برابر با 6449 روز خورشیدی را شامل می ­شود. تفکیک مکانی پیکسل ­ها، 1*1 کیلومتری در سیستم شبکه­ بندی سینوسی است که برای پهنة این استان، 174015پیکسل استخراج شد. پهنه­ بندی مکانی دمای سطح زمین نشان داد که دما در این استان، میل به خوشه ­ای شدن و متمرکزشدن دارد. به‌طوری‌که، گرنیگاه و ثقل افزایشی دما در بخش­ های جنوبی، جنوب­غرب و غرب استان که منطبق بر مناطق کم‌ارتفاع و در همسایگی با کویرلوت و دشت کویر هستند، انطباق بالایی دارد. همچنین واکاوی روند دمای سطح زمین حاکی از این است که 1/5 درصد از وسعت استان در قلمرو روند افزایشی دماست که در بخش ­های شمال و  شمال­ غرب استان با استان سمنان، اصفهان و در همسایگی کویر مرکزی ایران و کویر لوت واقع شده است. کمتر از یک درصد از مساحت استان نیز، دارای روند کاهشی دما می ­باشد که در اغلب نقاط استان به‌ویژه در مناطق مرتفع و کوهستانی به‌صورت پراکنده مشاهده می­شود. به‌نظر می­رسد در این استان، تابستان و زمستان در حال گرم‌ترشدن هستند که نباید از نقش شرایط اقلیمی و توپوگرافی منطقه مانند همجواری با بیابان ­ها و کویرهای بزرگ ایران، کاهش پوشش‌گیاهی استان و جذب حداکثری دمای تابشی خورشید در وردش­ های دمای سطحی غافل شد. بنابراین تغییر سیستم آبیاری از غرقابی به قطره­ای یا تشتکی، تغییر الگوی کشت و توسعة محصولات مقاوم در برابر تنش گرمایی مانند زرشک، زعفران و عناب ضروری به‌نظر می­رسد.

کلیدواژه‌ها

عنوان مقاله [English]

Satellite monitoring of temporal-spatial changes in land surface temperature In south Khorasan province

نویسندگان [English]

  • Sayyed mohammad Hosseini 1
  • Alireza Khandanro 2
  • Mohammad Reza Tahan 3

1 Department of Climatology, Faculty of Literature and Humanities, Sayyed Jamaleddin Asadabadi University, Asadabad, Iran.

2 South Khorasan Province Meteorological Organization, Birjand, Iran

3 South Khorasan Province Meteorological Organization, Birjand, Iran.

چکیده [English]

Land surface temperature is a function of net energy at the surface, which depends on the amount of energy reached to the surface, emissions, humidity, atmospheric airflow, topography and climatic conditions of the region. Calculate high accuracy over a wide range. Today, using satellite - remote sensing, can monitor the land surface temperature of the earth, which is one of the important parameters in determining the energy balance of the earth in biological, climatic, hydrological and biological researches. In this paper, to achieve this goal, the daily data of Terra satellite MODIS sensor used to analyze the long-term mean of the monthly period and land surface temperature trend in South Khorasan. The period of these data is daily and includes from 2002 to 2019 equal to 6449 solar days. The spatial separation of the pixel is 1 * 1 km in the sinusoidal networking system, for which 174015 spatial pixel have been extracted in the South Khorasan. Spatial zonation of land surface temperature showed that the surface temperature in this area tends to cluster and implant. During the year, gravity and increasing temperature in the southern, southwestern and western parts of the province, has a high adaptation to low-lying areas in the neighborhood of Dasht-e Kavir and Dasht-e Lut. In addition, the analysis of the surface temperature trend in this province shows that, 1.5% of the province is located in the territory of increasing temperature trend and in the northern and northwestern parts of the province in the strip with Semnan, Isfahan and in the neighborhood of the Dasht-e Kavir and Dasht-e Lut. Less than one percent of the area of ​​the province has a decreasing trend in temperature that observed in most parts of the province, especially in high and mountainous areas. It seems that summer and winter are getting warmer in this province, which should not be overlooked the dynamic role of topography of the region, proximity to large deserts and deserts of Iran, reduced vegetation in the province and maximum absorption of solar radiation temperature in surface temperature changes.

کلیدواژه‌ها [English]

  • Land Surface Temperature
  • Modis Terra Satellite
  • Temporal-Spatial changes
  • Trend analysis
  • South Khorasan
Aina, Y., Parvez, I., Balogun, A.L., 2017. Examining the Effect of Land Use on the Spatiotemporal Dynamics of Urban Temperature in an Industrial City: A Landsat Imagery Analysis. In: Pirasteh S., Li J. (eds) Global Changes and Natural Disaster Management: Geo-information Technologies. Springer, Cham 20,121-180.
Arvin, A., 2019. Earth surface temperature detection using satellite images. The Journal of Natural Hazard 19, 91-102. (In Persian)
Bai, L., Long, D., Yan, L., 2019. Estimation of surface soil moisture with downscaled land surface temperatures using a data fusion approach for heterogeneous agricultural land. Water Resources Research 55, 1105-1128.
Burn, D. H. 1994. Hydrologic effects of climate changes in west central Canada. Journal of Hydrology 160, 53-70.
Chehbouni, A., Lo Seen, D., Njoku, E.G., Monteny, B.M., 1996. Examination of the difference between radiative and aerodynamic surface temperatures over sparsely vegetated surfaces. Remote Sensing of Environment 58, 177-186.
Coll, C., Caselles, V., Sobrino, J.A., Valor, E., 1994. On the atmospheric dependence of the split-window equation for land surface temperature. Remote Sensing 15, 105-122.
Dodangeh, E., Soltani, S., Sarhadi, A., 2011. Investigation of trend of flow limit values ​​(minimum flow and flood) in Sefidrood dam watershed, Journal of Agricultural Science and Technology and Natural Resources 58, 215-229. (In Persian)
Ebrahimi, A. A., Kiyani-Salmi, E., 2019. Evaluation of the effect of changes in meadowland cover on land surface temperature in Shahrekord meadow. The Journal of Spatial Planning 2, 1-30. (In Persian)
Entezari, A. R., Amirahmadi, A. G., Aliabadi, G., Khosroviyan. M., Ebrahimi, M., 2016. Land Surface temperature monitoring and evaluation of change trends (Case study: Parishan Lake catchment). Journal of Hydrogeomorphology 7, 113-139. (In Persian)
Esmailpour, N., Azizpour, M., 2009. Changing the use of agricultural lands and the relative increase in temperature in Yazd Due to its rapid growth. Journal of Geography and Regional Development 12, 37-54.
Fallah-Shamsi, S. R., Majnoni, A., Nazemolsadat, S. J., 2009.  Investigating the effect of land allocation to green space on the heat islands of Shiraz using remote sensing techniques and GIS, Research Project No. 2/9852, Shiraz University. (In Persian)
Firoozi, F, Mahmoud, P, Jahanshahi, S. M, Tavousi, T., Liu, Y., Liang, Z. 2020. Modeling changes trend of time series of land surface temperature (LST) using satellite remote sensing productions (case study: Sistan plain in east of Iran). Arabian Journal of Geosciences 13, 1-4.
Fu, P., Q. Weng. 2016. A time series analysis of urbanization induced land use and land cover change and its impact on land surface temperature with Landsat imagery. Remote Sensing of Environment 175, 205- 214.
Gondwe, S.V., Muchena, R., Boys, J., 2018. Detecting Land Use and Land Cover and Land Surface Temperature Change in Lilongwe City, Malawi. Journal of Remote Sensing & GIS 9, 17-26.
Guo, Z., Wang, S.D., Cheng, M.M., Shu, Y. 2012. Assess the effect of different degrees of urbanization on land surface temperature using remote sensing images.  Procedia, environmental Sciences 13, 935-942.
Hashemi, S. M., Alavipanaah, S. K., Dinarvandi, M., 2013. Evaluation of spatial distribution of surface temperature in urban environment using thermal remote sensing. Journal of Environmental Science 1, 81-99. (In Persian)
He, J., Zhao, W., Li, A., Wen, F., Yu, D., 2018. The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas, International Journal of Remote Sensing 1-20.
Hejam, S., Khoshkho, Y., Shamsoldini, R., 2008. Analyzing the trend of seasonal and annual rainfall changes in some selected stations in the central part of Iran using non-parametric methods. Journal of Geographical Research 64, 157-167. (In Persian)
Hejazizadeh, Z., Ziyaeyan, P., Shirkhani, A.R., 2013. Comparison of surface temperature estimation using thermal band data of satellite sensors in west of Tehran and Qazvin. Journal of Geography 38, 33-49. (In Persian)
Hirsch, R.M., Slack, .J.R., 1984. A nonparametric trend test for seasonal data with serial dependence. Water Resources Research 20, 727-732.
Jahanbakhsh, S., Zahedi, M., Valizade-Kamran, K., 2011. Calculation of land surface temperature using Sabal method and decision tree in GIS-RS in the central part of Maragheh. Journal of Geography and Planning 38, 19-42. (In Persian)
Jalili, S., Morid, S., Ziyaeyan-Firizabadi, P., 2008. Comparison of the performance of satellite and meteorological indicators in drought monitoring. Journal of Soil and Water Research 1, 139-149. (In Persian)
Kakemami, A., Gorbani, A., Asghari-Sareskanrod, S., Ghaleh, E., Ghafari, S., 2020. Investigating the Relationship between Land Use Changes and Vegetation and land surface temperature in Namin County. Journal of Remote Sensing and Geographic Information System in Natural Resources 2, 27-48. (In Persian)
Latif, M.S. 2014. Land Surface Temperature Retrieval of Landsat-8 Data Using Split Window Algorithm-A Case Study of Ranchi District. International Journal of Engineering Development and Research 2, 2840-3849.
Li, Z.L., Tang, B.H., Wu, H., Ren, H., Yan, G., Wan, Z., Sobrino, J.A., 2013. Satellite-derived land surface temperature: status and perspectives. Remote sensing of environment 15, 14-37.
Malekpour, P., Taleei, M., 2011. Modeling the relationship between land cover and surface temperature, using ASTER sensor data. Journal of Environmental Science 57, 29-42. (In Persian)
Mao, K., Qin, Z., Shi, J., Gong, P., 2005. A practical split-window algorithm for retrieving land-surface temperature from MODIS data. International Journal of Remote Sensing 15, 3181-3204.
Masoudian, S. A., 2004. Rainfall trends in the last half century. Journal of Geography and Regional Development 2, 63-72. (In Persian)
Masoudian, S. A., Tourki, M., 2019. Analysis of temporal and spatial changes of the heat island of Ahvaz metropolis with the help of MODIS data. Geography and environmental planning 30, 75-92. (In Persian)
Morabito, M., Crisci, A., Messeri, A., Orlandini, S., Raschi, A., Maracchi, G., Munafò, M. 2016. The impact of built up surfaces on land surface temperatures in Italian urban areas, Science of the Total Environment 552, 317-326.
Morris, C.J, G., Simmonds, I., Plummer, N. 2001. Quantification of the influences of wind and cloud on the nocturnal urban heat island of a large city, Journal of Applied Meteorology 40, 169-182.
Muro, J., Strauch, A., Heinemann, S., Steinbach, S., Thonfeld, F., Waske, B., Diekkrüger, B., 2018. Land surface temperature trends as indicator of land use changes in wetlands. International Journal of Earth Geoformation 70, 62-71.
Niclos, R., Valiente, J. A., Barberà M. J., Caselles, V., 2013. Land surface temperature retrieval from EOS-MODIS images. IEEE Geoscience and Remote Sensing Letters 11, 1380-1384.
Nosrati, K., Imani, S., Talari, A., 2018. Regional analysis of suspended sediment load using principal component regression method in Sefidrood watershed. Journal of Natural Environment 3, 809- 827. (In Persian)
Ronald, C., Estoque, M., Yuji, M., 2017. Effects of landscape composition and pattern on land surface temperature an urban heat island study in the megacities of Southeast Asia, National Library of Medicine 15, 349-359.
Salehi, N., Ekhtesasi, M.R., Talebi, A., 2019. Predicting the trend of land use change using the Markov chain model (Case study: Ramsar Saffarude). Journal of RS and GIS for Natural Resources 10,106-121. (In Persian)
Srivastava, P. K., Majumdar, T.J., Bhattacharya, A.K., 2009. Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Advances in space research 43, 1563-1574.
Sun, D., Pinker, R.T., Basara, J.B., 2004. Land Surface Temperature Estimation from the Next Generation of Geostationary Operational Environmental Satellite: GEOS M-Q. Journal of Applied Meteorology 43, 363-372.
Sun, D., Pinker, T. 2004. Case study of soil moisture effect on land surface temperature retrieval, IEEE Geoscience and Remote Sensing Letters 1, 83-94.
Turgay, P., Ercan, K., 2006. Trend Analysis in Turkish Precipitation Data, Hydrology Process 20, 2011-2026.
Vooget, J.A., Oke, T.R., 2003. Thermal Remote Sensing of Urban Climates, Remote Sensing of Environment 86, 370-282.
Wang, R., Cai, M, Ren, Ch., Bechtel, B., Xu, Y., Ng, E., 2019. Detecting multi temporal land cover change and land surface temperature in Pearl River Delta by adopting local climate zone, Urban Climate 28, 1-16.
Wang, Y., Ch., B., Hu., S.W., Myint., Ch., Feng., Ch., Chow, W.T.L., Passy, P.F., 2018. Patterns of land change and their potential impacts on land surface temperature change in Yangon, Myanmar, Science of The Total Environment 643, 738-750.
Xian, G., Crane, M., 2006. An analysis of urban thermal characteristics and associated land cover in Tampabay and Lasvegas using Landsat satellite data, Remote Sensing of Environment 104, 147-156.
Xiao, J., Moody, A., 2005. A Comparison of Methods for Estimating Fractional Green Vegetation Cover Within a Desert-to-Upland Transition Zone in Central New Mexico, USA, Remote Sensing of Environment 98, 237- 25.
Xu, H.Q., Chen, B.Q., 2005. Remote sensing of the urban heat island and its changes in Xiamen City of SE China, IOS Press 16, 276-281.
Yue, S., P. Pilon., Cavadias, G., 2002. Power of the Mann-Kendall and Spearman’s rho tests for detecting monotonic trends in hydrological series. Journal of Hydrology 259, 254-271.
Zareie, S., Khosravi, H., Nasiri, A., Dastorani, M., 2016. Using Landsat Thematic Mapper (TM) sensor to detect change in land surface temperature in relation to land use change in Yazd Iran. Solid Earth 7, 1551-1564.
Zhang, F., Kung, H., Carl Johnson, V., LaGrone, B., Wang, J., 2017. Change Detection of Land Surface Temperature (LST) and some Related Parameters Using Landsat Image: a Case Study of the Ebinur Lake Watershed, Xinjiang, China, Wetlands 38, 65-80.
نشریه محیط زیست طبیعی
دوره 75، شماره 2 - شماره پیاپی 2
تیر 1401
صفحه 348-361