Evaluation and comparison of Image J and GIAS softwares with mechanical sieving in automatic particle-size distributions

Document Type : Research Paper

Authors

1 MSc of Desertification Combating, Department of Desert and Arid Zones Management Faculty of Agriculture and Natural Resources, Ardakan University, Ardakan, Iran.

2 Assistant Professor, Department of Nature Engineering, Faculty of Agriculture & Natural Resources, Ardakan University, Ardakan, Iran.

3 Assistant Professor, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran.

10.29252/aridbiom.2020.1814

Abstract

Particle-size and their distribution are important in various sciences such as: agricultural, natural resources, and even engineering and medical engineering. Using mechanical sieves requires considerable cost and time. The purpose of this study was to investigate the capability of image processing techniques for desert pavement. Thus, random sampling of desert pavement was carried out in bare and epandage pediments. Samples were transferred to the laboratory and was grading using standard sieve series. The collected samples taken were also photographed. Photos were analyzed using Image Processing and Analysis in Java and Geological Image Analysis Softwares.Then the results of the software were compared with the values measured by the sieve series. Results, show that the values obtained for particle aggregation using Image j software have a correlation of 93% in the epandage Pediment particles and 96% in the bare Pediments with mechanical sieve. Results of correlation between mechanical sieving and GIAS software in epandage pediment have an average correlation of 91% and in bare pediment has a correlation of 96%. It can be concluded that the use of these softwares can be a good substitute for mechanical sieve in particle size distribution. Using the results of this study can be effective in reducing cost and time in perform grading.

Keywords

References

[1]. Abdesharif Esfahani, M., Karbasi, M., Rajabi-hashjin, M. & Kiasalari, A. (2005). Introduction of grid photography method of riverbed for determining armored-layer gradation of a coarse-grained bed (Case study: Karaj River). 5th Iranian Hydraulic Conference, 8-10 Nov. (in Farsi)
[2]. Afrasiabi, S., Tazeh, M., Taghizadeh. R., Ghaneei, M.J., & Kalantari, S. (2019). Performance of two measurement methods of pin meter and laser disto meter in the measurement of microtopography Created by desert pavement. Desert Ecosystem Engeeniring, 8, 1-14. (in Farsi)
[3]. Ahmadi, H. (2012). Applied geomorphology, desert - wind erosion. Iran: Tehran University press. (in Farsi)
[4]. Al-Farraj, A. (2008). Desert pavement development on the lake shorelines of Lake Eyre, South Australia. Geomorphology, 100, 150-159.
[5]. Al-Farraj, A. & Harvey, A.M. (2000). Desert pavement characteristics on wadi terrace and alluvial fan surfaces, Wadi Al-Bih, U.A.E. and Oman, Geomorphology, 35(3-4), 279-297.
[6]. Azimzadeh, H. R & Ekhtesasi, M. R. (2002). Wind erosion: Study of the effect of physical and chemical properties of soil on wind erosion index and model model for predicting it in Yazd-Ardakan plain. Agricultural Sciences and Natural Resources of Gorgan, 1, 139-152. (in Farsi)
[7]. Azramsa, S, A. (2002). Dynamic of Sea Sands, Office of Scientific Publications of Tarbiat Modarres School, 26. (in Farsi)
[8]. Beggan, C. & Hamilton, C. W. (2010). New image processing software for analyzing object size-frequency distributions, geometry, orientation, and spatial distribution. Computers & Geosciences, 36(4), 539-549.
[9]. Bui, EN. Mazullo, J., & Wilding, LP. (1990). Using quartz grain size and shape analysis to distinguish between Aeolian and fluvial deposits in the Dallol Bosso of Niger (West Africa). Earth Surface Processes and Landforms, 14, 157-166.
[10].Chang, F.J. & Chung, Ch.H. (2012). Estimation of riverbed grain-size distribution using image processing techniques. Hydrology, 440, 102-112.
[11].Cheng, Z. & Liu, H. (2015). Digital grain-size analysis based on autocorrelation algorithm, Sedimentary Geology, 327, 21-31.
[12].Chung, Ch.H. & Chang, F.J. (2013). A refined automated grain sizing method for estimating river-bed grain size distribution of digital images. Hydrology, 486, 224-233.
[13].Danet, J., Yaalon, D.H., Moshe, R.,  &Nissum, S. (1982). Evolution of Reg soils in southern Israel and Sinai. Geoderma, 28, 173-202.
[14].Ekhtesasi, M.R. (1993). Preparation of erosion susceptibility map to erosion of Yazd plain lands using wind erosion measuring instrument, Master''''s thesis, Faculty of Natural Resources, University of Tehran, 237. (in Farsi)
[15].Ekhtesasi, M. R. (2009). Applied Geomorphology Booklet. Chapter 5, p. 40. (in Farsi)
[16].Fatahi, M.M., Darvish, M., Javidkia, H.R., & Adnani, M. (2010). Evaluation and Preparation of a Map of the Total Risk of Desertification by FAO-UNEP (Case Study: Qomroud Basin). Quarterly, Scientific and Research Surveys of Iran, 17(4), 575-588 (in Farsi)
[17].Fathizad, H., Tazeh, M., & Kalantari, S. (2016). Assessment of pixel-based classification (Artmap Fuzzy Neural Networks and Decision Tree) and object-oriented methods for land use mapping (Case Study: Meymeh, Ilam Province), Arid Biome, 5, 69-81. (in Farsi)
[18].Folk, R.L. & Ward, WC. (1957). Brazos River bar: a study in the significance of grain size parameters", Sedimentary Petrology, 27, 3-26.
[19].Fotouhi, F, Azimzadeh, H. R. Talebi, A., & Ekhtesasi, M. R. (2012).  Surface ImpactOn soil erodibility factor using Land Statistics, Watershed Management Engineering, 5(16), 1-12. (in Farsi)
[20].Friedman, G.M., Johnson, K.G., "Exercises in Sedimentology", Wiley: New York, 1982.
[21].Graham, D.J., Rice, S.P., & Reid, I. (2005). A transferable method for the automated grain sizing of river gravels. Water Resources Research, 7, 1-12.
[22].Javadi, P. Rohipour, H., & Mahboubi, A. A. (2005). The role of grit covers on erosion and runoff using Flume and Rain simulator, Range and Desertification, 12(3), 310-278. (in Farsi)
[23].Kargaran, F., Kalantari, S., Ghaneei, M.J., & Tazeh, M. (2017). The Compare of grading criteria in Coarse ripple Mark on the windward and leeward slopes (Case Study: Hassan Abad erg in Bafg), quantitative geomorphological research, 4(1), 134-144.
[24].Maria, J. Parez, M., & Pascau, J. (2013). Image Processing with ImageJ, Community experience distilled, 140.
[25].McManus, J. (1988). Grain size determination and interpretation", In Techniques in Sedimentology. Tucker M (Ed.). Blackwell: Oxford, 63-85.
[26].Mc Faddden, D. (1989). A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration, Econometrica, 57(5), 995-1026.
[27].Miri, A., Pahlavanuri, A., & Moghaddamnia, A. (2009). Investigation of the occurrence of dust haze in Sistan after the occurrence of periodic droughts, Marine and Birjan Research, 16(2), 249-292. (in Farsi)
[28].Mora, C.F. Kwan, A.K.H., & Chan. H.C. (1998). Department of Civil Engineering, the University of Hong Kong, Hong Kong, P.R.
[29].Pelletier, J.D., Cline, M., & DeLong, S.B. (2007). Desert pavement dynamics; numerical modeling and field-based calibration. Earth Surf. Process. Landforms, 32, 1913-1927.
[30].Penders, C.A. (2010). Determining mean grain-size in high gradient streams with autocorrelative digital image processing. Master of Science Thesis, Appalachian State University, Boone, North Carolina, United States.
[31].Rafi Sharif Abad, J., & Zhetatabian, Gh.R. (2014). Assessing the actual status of desertification of the Yazd plain, based on two criteria for water and climate, Desert Management, 3, 51-60. (in Farsi)
[32].Taghizadeh, R., Ghazali, A., Kalantari, S., & Rahimian, MH. (2016). Spatial distribution of soil salinity using auxiliary variables and hypercube sampling method in Meybod, Arid Biome, 6, 69-79. (in Farsi)
[33].Tazeh, M. Zhehtabian, Gh. R. Ahmadi, H. Nazari Samani, A. A., & Ehsani, A. H. (2015). Determination of the most important Granulometric Parameters of Desert Plain in Different Types of Dashtasar (Case Study: Khezr Abad). Quantitative Geomorphology Researches, 2, 43-31. (in Farsi)
[34].Zehtabian, G.R., Ahmadi, H., Samani Nazari, A.A., Ehsani, A.H., & Tazeh, M. (2017). Determinig the most important geomorphometric parameters in classification of desert plans using artificial networks and sensitivity analysis, Range and Watershed  Management, 70(1), 197-206.
 
Journal of Arid Biome
Volume 9, Issue 2
March 2020
Pages 29-42

Files

Share

How to cite

Statistics