SPATIAL PREDICTION OF THE CONTENT OF CARBONATE MINERALS AND GYPSUM AND ITS RELATIONSHIP TO THE FORMATION OF HEAT ISLANDS USING THERMAL IMAGING | ||
ANBAR JOURNAL OF AGRICULTURAL SCIENCES | ||
Article 16, Volume 19, Issue 2, December 2021, Pages 329-342 PDF (1.68 M) | ||
Document Type: Research Paper | ||
DOI: 10.32649/ajas.2021.176223 | ||
Authors | ||
S. M. Al-Juraysi; Q. K. Al-Obeidi | ||
Department of Soil and Water Resources, College of Agriculture, University of Anbar, Ramadi, Iraq | ||
Abstract | ||
The study area was chosen to the south of a Haditha lake. It is located between longitudes 41º 42 '02 "and 42º 27 03" E, and between longitude 34º 02 24 "and 34º 32 08" N, Western desert region at borders of Al-Anbar Governorate in the lower valley unit. It occupies an area of 186240 ha., Thermal units were isolated using the thermal image and 6 pedon were determined, which were accessed using a GARMIN GPS device, based on the Landsat8 satellite image captured on 7/25/2019, use the coefficient. The correlation and the simple linear regression equation between the temperature and each of the lime and gypsum in the soil for the surface horizon. The values for both lime and gypsum were projected using temperature, and the values of the image's pixels were converted into quantitative values for the content of lime and gypsum. The results showed that the study area included five thermal ranges, which included water bodies with an area of 50,300 hectares with a rate of 21.26%, whose temperature ranged from 26-43 degrees Celsius, and land areas with an area of 186,240 hectares, with a rate 78.74%, it was classified into four classes, as the first class occupied an area of 4618.75 hectares with a rate 2.48% of the study area, as it a temperature of 43-46 degrees Celsius, the second class, which had a temperature of 46-49 degrees Celsius, it occupied an area of 78909.89 hectares, equivalent to 42.37% of the study area. The third class had a temperature of 49-52 degrees Celsius and occupied an area of 39873.98 hectares, with a rate of 21.41% of the study area, and the fourth class, which recorded a temperature of 52-55 degrees Celsius, occupying an area of 62837.38 hectares, with 33.74% of the study area. The Spatial prediction values for lime and gypsum were 380 g/kg and 375 g/kg, respectively. The area of Spatial Completion calcareous soils with a content of more than 225 g/kg was about 68517.7 hectares, with 36.79%, while the area of gypsum soils with a content of more than 150 g/kg was about 78595.9 hectares, with 42.21% of the study area. | ||
Keywords | ||
Spatial prediction; Carbonate minerals and gypsum; Heat islands; Thermal imaging | ||
References | ||
1- Abu-Hamdeh, N. H., and Reeder, R. C. (2000). Soil thermal conductivity effects of density, moisture, salt concentration, and organic matter. Soil science society of America Journal, 64(4): 1285-1290.
2- Ahmad, S., and Hashim, N. M. (2007). Effects of soil moisture on urban heat island occurrences: Case of Selangor, Malaysia. Humanity and Social Sciences Journal, 2(2): 132-138.
3- Al-Agidi, W. K. (1981). Proposed Soil Classification at the series level for Iraqi Soils.‖. Zonal Soils. Soil Sci. Dept. University of Baghdad.
4- Buringh, P. (1960). Soil and soil conditions of Iraq. Ministry of Agriculture, Baghdad, Iraq.
5- Du, H., Wang, D., Wang, Y., Zhao, X., Qin, F., Jiang, H., and Cai, Y. (2016). Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. Science of the Total Environment, 571: 461-470.
6- Hu, Y., and Jia, G. (2010). Influence of land use change on urban heat island derived from multi‐sensor data. International Journal of Climatology, 30(9): 1382-1395.
7- Huang, R., Huang, J. X., Zhang, C., Wen, Z. H. U. O., Chen, Y. Y., Zhu, D. H., ... and Mansaray, L. R. (2020). Soil temperature estimation at different depths, using remotely-sensed data. Journal of Integrative Agriculture, 19(1): 277-290.
8- Jensen, J. R. (2007). Remote Sensing of Environment an Earth Resource Perspective"2nd ed. QE33.2. R4J46.
9- Lee, J. Y., Lim, H. S., and Yoon, H. I. (2016). Thermal characteristics of soil and water during summer at King Sejong Station, King George Island, Antarctica. Geosciences Journal, 20(4): 503-516.
10- Lillesand, T. M., and R. W. Kiefer. (2000). Remote sensing and image interpretation. Ed., by John Wiley and Sons, Inc.
11- Mohammed, R. M., and Masoud, G. (2017). 5cm soil temperature estimation using landsat images and weather synoptic station data. https://www.researchgate.net/publication/327931782.
12- Soil Survey Staff. (1993). Soil Survey Manual. USDA – SCS. Agric. Hand book 18. Washington, DC: U.S. Government printing Office.
13- Susca, T., Gaffin, S. R., and Dell’Osso, G. R. (2011). Positive effects of vegetation: Urban heat island and green roofs. Environmental pollution, 159(8-9): 2119-2126.
14- Thomson, S. J., Ouellet-Plamondon, C. M., DeFauw, S. L., Huang, Y., Fisher, D. K., and English, P. J. (2012). Potential and challenges in use of thermal imaging for humid region irrigation system management. Journal of Agricultural Science, 4(4): 103-116.
15- Wu, J. H., Tang, C. S., Shi, B., Gao, L., Jiang, H. T., and Daniels, J. L. (2014). Effect of ground covers on soil temperature in urban and rural areas. Environmental and Engineering Geoscience, 20(3): 225-237. | ||
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