Analysis of Spatial Variability of Soil Granules in early Stage of Reclamation at Opencast Coal Mine Dump in Loess Area

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Abstract:

Quality of soil reconstruction is directly related to the vegetation recovery of opencast coal mine in loess area, therefore, research on soil properties of land reclamation has a very important role in mine ecological recovery. Based on an reclamation open coal mine dump loess area as the research area, semi-variance function as the basic tools, combined with traditional statistics and geo-statistics method, with statistical module of arcgis10.0, was applied to study the spatial variability of 0 ~ 40cm soil granules in early stage of reclamation, and using ordinary kriging method to draw the spatial distribution map of different particle size of soil granules. Results show that: (1) in early stage of reclamation, between 0 ~ 20 cm and 20 ~ 40 cm the component characteristic of different size of soil granules was similar, the average of silt content was all highest in the whole research region .(2) through the semi-variance function fitting, the theory model of semi-variogram of clay accord with spherical model, the semi-variance function of silt content in 0 ~ 20 cm level in line with the spherical model, in the 20 ~ 40 cm accord with the exponential model, the semi-variance model of sand in 0 ~ 20 cm fit with the spherical model, in the 20 ~ 40 cm semi-variance function in line with the exponential model, different size of soil granules content has spatial auto-correlation in a certain range, showing that has a medium spatial correlation. (3) the map can reveals the spatial distribution of soil granules in different levels, in 0 ~ 20 cm, on the horizontal direction of silt content in the high value area in the study area corresponds to the sand content is low in the area, both of them have good complementary, and in the vertical direction different soil granules content in the spatial distribution has no obvious regularity. This study can provide certain reference for loess area land reclamation of soil profile reconstruction and soil fertilization and amelioration.

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Advanced Materials Research (Volumes 955-959)

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3746-3756

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Jinman, Guo Lingli, Bai Zhongke, et al. Succession law of reclaimed soil and vegetation on opencast coal mine dump of loess area[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2013, 29(21): 223-232. (in Chinese with English abstract).

Google Scholar

[2] Zhang Shujuan, He Yong , Fang Hui. Spatial variability of soil properties in the field based on GPS and GIS[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2003, 19(02): 39-44. (in Chinese with English abstract).

DOI: 10.1109/iembs.2005.1615844

Google Scholar

[3] Huang Shaowen, Jin Jiyun,etal. Spatial Distribution of Soil Nutrient and Relationship Between Soil Nutrient and Soil Granule Compo sition for Grain Crop Region[J], Scientia Agricultura Sinica, 2002 , 35 (3) : 297 – 302. (in Chinese with English abstract).

Google Scholar

[4] Wang Jinman, Yang Ruixuan, Bai Zhongke. Succession law and model of reclaimed soil quality of opencast coal mine dump in grassland[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012, 28(14): 229-235. (in Chinese with English abstract).

Google Scholar

[5] MillerM P, SingerM J , Nielsen D R. Spatial variability of wheat yield and soil properties on complex hills [J ]. Soil Sci Soc Am J , 1988, 52: 1133- 1141.

DOI: 10.2136/sssaj1988.03615995005200040045x

Google Scholar

[6] Dvalls F A , CollinsM E. So il2landscape relationship s and soil variability in north central Florida [J ]. Soil Sci Soc Am J, 1986, 50: 401- 408.

Google Scholar

[7] Li Liangliang, Yi Yanli, Ling Guo xin, et al. Utilization of Geostatistics in Soil Spatial Variability[J]. Chinese Journal of Soil Science, 2005, 36 (2): 265- 268(in Chinese with English abstract).

Google Scholar

[8] Saldana A , Stein A , Zinck J A. Spatial variability of soil properties at different scales with in three terraces of the Henare River (Spain ) [J]. Catena, 1998, 33 (3): 139 -153.

DOI: 10.1016/s0341-8162(98)00090-3

Google Scholar

[9] Hu Kelin, Li Baoguo, Lin Qimei. Spatial Variability of Soil Nutrient in Wheat Field[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 1999, 15(3): 33- 38. (in Chinese with English abstract).

Google Scholar

[10] Gaston L A , LockeM A , Zablo towicz RM , et al. Spatial variability of soil properties and weed populations in the MississippiDelta [J]. Soil Sci Soc Am J , 2001, 65: 449-459.

DOI: 10.2136/sssaj2001.652449x

Google Scholar

[11] Yao Rongjiang, Yang Jinsong, Liu Guangming, et al. Spatial variability of soil salinity in characteristic field of the Yellow River Delta [J]. Transact ions of the CSA E, 2006, 22 (6) : 61- 66. (in Chinese with English abstract).

Google Scholar

[12] Wang Tieyu , Luo Wei, Lv Yonglong, etal. Spacial Variation and Eco2Environmental Risk of Heavy Metals in Soil Surrounding Guanting Reservoir[J]. Environmental Science, 2007, 28 (2) : 225-231. (in Chinese with English abstract).

Google Scholar

[13] Shen Z Q , Shi J B, Wang K, et al. Neural network ensemble residual Kriging application for spatial variability of soil properties[J]. Pedo sphere, 2004, 14 (3): 289- 296.

Google Scholar

[14] Zhao Yongcun, Shi Xuezheng, Yu Dongsheng, et al. Different methods for prediction of spatial patterns of soil organic carbon density in Hebei province, china[J]. Acta Pedologica Sinica, 2005, 42(13) : 380- 385(in Chinese with English abstract).

Google Scholar

[15] Zhang S R, Sun B, Zhao Q G, et al. Temporal spatial variability of soil organic carbon stocks in a rehabilitating ecosystem [J ]. Pedo sphere, 2004, 14 (4) : 501- 508.

Google Scholar

[16] Jiang Yong, Zhuang Qiuli, Liang Wenju, etal. Application of Spatial Variability in Long-term Site – specific Observa tory Study of Soil Properties and Sampling Strategy[J]. Chinese Journal of Soil Science, 2005, 36(4): 531-535. (in Chinese with English abstract).

Google Scholar

[17] Xu S P, Tao S, Cao J. Spatial structure pattern of soil pH, clay andorganic matter contents in the Inner Mongolia Area[J]. Chinese Journal of Soil Science, 2001, 32(4): 145-148. (in Chinese with English abstract.

Google Scholar

[18] Zhang Hua,Zhang Ganlin.Farm scale spatial variability of soil quality indicators[J].Chinese Journal of Soil Science,2003,34(4):241-245.(in Chinese with English abstract).

Google Scholar

[19] Liu F C, Shi X Z, Pang X Z, et al. Characteristics of spatial variability of soil granules in a typical area of Southern Jiang[J]. Chinese Journal of Soil Science, 2003, 34(4): 246-249. (in Chinese with English abstract).

Google Scholar

[20] Feng N N, Li T X, Zhang X Z, et al. Spatial variability of soil particle composition in Hilly Tea Plantation Soils with different sampling scales[J]. Journal of Soil and Water Conservation, 2006, 20(3): 123-128. (in Chinese with English abstract).

Google Scholar

[21] Ma L C, Sheng J D, Jiang P A, et al. Spatial variability of soil texture in Karamay arid zone[J]. Arid Land Geography, 2006, 29 (1): 109. (in Chinese with English abstract)Meul M, van Meirvenne M. Kriging soil texture under different types of nonstationarity. Geoderma, 2003, 112 : 217-233. (in Chinese with English abstract).

DOI: 10.1016/s0016-7061(02)00308-7

Google Scholar

[22] Zhao Z Y, Chow T L, Rees H W, Yang Q, Xing Z S, Meng F R. Predict soil texture distributions using an artificial neural network model. Computers and Electronics in Agriculture, 2009, 65: 36-48.

DOI: 10.1016/j.compag.2008.07.008

Google Scholar

[23] Liu Dashuang, Chen Haisheng , Yang Qingmin. Spatial Variability of Soil Granule Composition in Tobacco Fields in Middle Henan Province[J]. Acta Agriculturae Jiangxi, 2012, 24(4) : 87 – 90. (in Chinese with English abstract).

Google Scholar

[24] Ma Lichun,Sheng Jiandong,Jiang Pingan,et al.Spatial variability feature of soil rapidly available micronutrient in Karamay arid region[J].Arid Land Geography,2004,27(2):202-206.(in Chinese with English abstract).

Google Scholar

[25] Webster R. Quantitative spatital analysis of soil in the field [J] . Advance in soil science, 1985, (3): 2266.

Google Scholar

[26] Gambardella C A,Moorman T B,Novak J M,et al. Field -scale variability of soil properties in central low a soils [J].Soil Sci Soc Am J,1994,(58): 1501 – 1511.

DOI: 10.2136/sssaj1994.03615995005800050033x

Google Scholar

[27] Li Shuzhi, Gao Rongjiu. Variability of reclaimed soil properties in subsided land[J], Journal of Liaoning Technical University,2006, 25(5): 792-794. (in Chinese with English abstract).

Google Scholar