|
|
|
| Provincial-scale spatial variation of soil water-air-thermal parameters and its main controlling factor analysis |
| Wang Weihua1, Li Jianbo1, Wang Shuo2, Wang Quanjiu3,4 |
| 1.Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China; 2.Shangluo Water Resources Bureau, Shangluo, Shaanxi 726000, China; 3.Faculty of Water Resources and Hydroelectric Engineering, Xi′an University of Technology, Xi′an, Shaanxi 710048, China; 4.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, CAS & MWR, Yangling, Shaanxi 712100, China |
|
|
|
|
Abstract The basic soil physical parameters and water-air-thermal parameters measured at 13 sampling points in Shannxi province are analysed to master their provincial-scale spatial distribution characteristics by making use of GIS technology and statistical methods. The effects of soil texture and type and land use on the water-air-thermal parameters spatial distributions are assessed by means of variance and regression analyses. The inverse distance weighted(IDW)interpolation results show that sand content decreases while clay content increases from north to south in the province. Soil saturated hydraulic conductivity, soil air permeability and thermal permeability decrease with declining sand content. Soil texture and type as well as land use are the main controlling factors of water-air-thermal parameters spatial distribution. Explanatory power of soil type on water-air-thermal parameters spatial distribution is better than land use, but weaker than soil texture. It is advisable that soil texture, soil type and land use should be analysed in a combined manner in the provincial-scale spatial distribution prediction of water-air-thermal parameters to improve the accuracy of prediction.
|
|
Received: 27 March 2015
|
|
|
|
| [1]李保国,任图生,张佳宝. 土壤物理学研究的现状、挑战与任务[J]. 土壤学报,2008,45(5):810-816. Li Baoguo, Ren Tusheng, Zhang Jiabao. Current status, challenges, and missions in soil physics[J]. Acta Pedologica Sinica,2008,45(5):810-816.(in Chinese)[2]王铄,王全九,樊军,等.土壤热导率测定及其计算模型的对比分析[J].农业工程学报,2012,28(5):78-84. Wang Shuo, Wang Quanjiu, Fan Jun. et al. Soil thermal properties determination and prediction model comparison[J]. Transactions of the CSAE, 2012,28(5):78-84.(in Chinese)[3]聂卫波,武世亮,马孝义,等. 田块尺度土壤入渗特性空间变异研究[J].农业工程学报,2014,30(9):76-83. Nie Weibo, Wu Shiliang, Ma Xiaoyi, et al. Research on field-scale spatial variability of soil infiltration characteristics[J]. Transactions of the CSAE, 2014,30(9):76-83.(in Chinese)[4]王卫华,王全九,武向博,等.黑河中游绿洲麦田土壤水气热参数田间尺度空间分布特征[J]. 农业工程学报,2013,29(9):94-102. Wang Weihua, Wang Quanjiu, Wu Xiangbo, et al. Characteristics of spatial distribution of soil water-air-heat parameters in typical oasis croplands at middle reaches of Heihe River[J]. Transactions of the CSAE, 2013,29(9):94-102.(in Chinese)[5]王云强,张兴昌,从伟,等. 黄土区不同土地利用方式坡面土壤含水率的空间变异性研究[J]. 农业工程学报,2006,22(12):65-71. Wang Yunqiang, Zhang Xingchang, Cong Wei, et al. Spatial variability of soil moisture on slope-land under different land uses on the Loess Plateau[J]. Transactions of the CSAE, 2006,22(12):65-71.(in Chinese)[6]胡伟,邵明安,王全九. 黄土高原退耕坡地土壤水分空间变异的尺度性研究[J]. 农业工程学报,2005,21(8):11-16. Hu Wei,Shao Ming′an,Wang Quanjiu. Scale-dependency of spatial variability of soil moisture on a degraded slope-land on the Loess Plateau[J]. Transactions of the CSAE, 2005,21(8):11-16.(in Chinese)[7]王卫华,李建波,苏李君,等. 基于土壤物理基本参数的土壤导气率推求模型[J].农业机械学报,2015,46(3):125-130. Wang Weihua, Li Jianbo, Su Lijun, et al. Soil air permeability model based on soil physical basic parameters[J]. Transaction of the Chinese Society for Agricultural Machinery, 2015,46(3):125-130.(in Chinese) [8]陕西省土壤普查办公室. 陕西土壤[M]. 北京:科学出版社, 1992.[9]Kluitenberg G J, Ham J M, Bristow K L. Error analysis of the heat pulse method for measuring soil volumetric heat capacity[J]. Soil Science Society of America journal, 1993,57(6):1444-1451.[10]李丽霞, 郜艳晖, 张瑛. 哑变量在统计分析中的应用[J]. 数理医药学杂志, 2006,19(1):51-53. Li Lixia, Gao Yanhui, Zhang Ying. The application of dummy variable in statistics analysis[J]. Journal of Mathematical Medicine, 2006,19(1):51-53.(in Chinese)[11]Bell M J, Worrall F. Estimating a region′s soil organic carbon baseline: The undervalued role of land-management[J]. Geoderma, 2009,152(1/2):74-84.[12]邵明安,王全九,黄明斌. 土壤物理学[M]. 北京:高等教育出版社,2006.[13]刘焕军, 张柏, 赵军, 等. 黑土有机质含量高光谱模型研究[J]. 土壤学报, 2007,44(1):27-32. Liu Huanjun, Zhang Bai, Zhao Jun, et al. Spectral models for prediction of organic matter in black soil[J]. Acta Pedologica Sinica, 2007,44(1):27-32.(in Chinese)[14]王淼, 解宪丽, 周睿, 等. 基于可见光-近红外漫反射光谱的红壤有机质预测及其最优波段选择[J]. 土壤学报, 2011,48(5):1083-1089. Wang Miao, Xie Xianli, Zhou Rui, et al. Determination of soil organic matter in red soils using vis-nir diffuse reflectance spectroscopy and selection of optimal spectral bands[J]. Acta Pedologica Sinica, 2011,48(5):1083-1089.(in Chinese)[15]杨奇勇, 张发旺. 西南岩溶盆地土壤干容重协同克里格分析[J]. 农业机械学报, 2015,46(2):126-131. Yang Qiyong, Zhang Fawang. Cokriging analysis on soil bulk density in karst basin of Southwest China[J]. Transactions of the Chinese Society for Agricultural Machinery, 2015,46(2):126-131.(in Chinese)[16]魏建兵, 肖笃宁, 张兴义, 等. 侵蚀黑土容重空间分异与地形和土地利用的关系[J]. 水土保持学报, 2006,20(3):118-122. Wei Jianbing, Xiao Duning, Zhang Xingyi, et al. Spatial variation of soil bulk density in relation to terrain and land use in eroded of black soil region[J]. Journal of Soil and Water Conservation, 2006,20(3):118-122.(in Chinese) |
|
|
|
