Analysis of sampling density for suitable soil compaction considering spatial variability of soil infiltration

被引:0
|
作者
Liu, Shanshan [1 ,2 ]
Xu, Di [1 ,2 ]
Bai, Meijian [1 ,2 ]
Zhang, Shaohui [1 ,2 ]
机构
[1] National Center for Efficient Irrigation Engineering and Technology Research, Beijing,100048, China
[2] China Institute of Water Resources and Hydropower Research, Beijing,100048, China
来源
关键词
Irrigation - Compaction - Infiltration - Soil surveys - Soils;
D O I
10.13243/j.cnki.slxb.2015.03.007
中图分类号
学科分类号
摘要
Sampling density greatly affects the rational investigation of the spatial distribution variability of soil infiltration, and subsequently affects performance evaluation and design of basin system. In this study, the statistical characteristics, spatial variability structure and spatial distribution of simplified G-A infiltration model parameters were analyzed using the methods of geo-statistics and conditional simulation, based on measured data obtained from experiment field in Xinjiang Uygur Autonomous Region, China. Meanwhile, the impacts of soil compaction sampling density on simulation effects of basin irrigation performance were analyzed in order to determine the suitable soil compaction sampling density. The results showed that the range and spatial distribution of simplified G-A infiltration model parameters tend to stabilize in the field scale when the sampling density of soil compaction is more than 50 per ha. Moreover, the relative errors between observed data and simulated data of basin irrigation performance evaluation indexes are less than 10% in the border check scale. Therefore, the appropriate sampling density of soil compaction is not less than 50 per ha. ©, 2015, China Water Power Press. All right reserved.
引用
收藏
页码:307 / 314
相关论文
共 50 条
  • [1] Reliability Analysis of Soil Liquefaction Considering Spatial Variability of Soil Property
    Wang, Yubing
    Shu, Shuang
    Wu, Yongxin
    JOURNAL OF EARTHQUAKE AND TSUNAMI, 2022, 16 (01)
  • [2] Failure mechanism and reliability analysis of soil slopes under rainfall infiltration considering spatial variability of multiple soil parameters
    Jiang S.-H.
    Liu X.
    Huang F.-M.
    Huang J.-S.
    Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 2020, 42 (05): : 900 - 907
  • [3] Spatial variability of water infiltration in the soil
    Lima, CAG
    De Silans, AP
    PESQUISA AGROPECUARIA BRASILEIRA, 1999, 34 (12) : 2311 - 2320
  • [4] Reliability analysis of infinite soil slopes considering spatial variability of soil parameters
    Li, Dian-Qing
    Qi, Xiao-Hui
    Zhou, Chuang-Bing
    Zhang, Li-Min
    Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, 2013, 35 (10): : 1799 - 1806
  • [6] Effect of Soil Sampling Density on Detected Spatial Variability of Soil Organic Carbon in a Red Soil Region of China
    Yu Dong-Sheng
    Zhang Zhong-Qi
    Yang Hao
    Shi Xue-Zheng
    Tan Man-Zhi
    Sun Wei-Xia
    Wang Hong-Jie
    PEDOSPHERE, 2011, 21 (02) : 207 - 213
  • [7] Spatial variability response of soil organic carbon to sampling density change
    Ye, Huichun
    Huang, Shanyu
    Zhang, Shiwen
    Zhang, Liping
    Huang, Yuanfang
    Huang, Yajie
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2014, 45 (12): : 215 - 223
  • [8] Slope stability analysis considering spatial variability of soil properties
    Bai, Tao
    Huang, Xiao-Ming
    Li, Chang
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2013, 47 (12): : 2221 - 2226
  • [9] Probabilistic analysis of reinforced slopes using RFEM and considering spatial variability of frictional soil properties due to compaction
    Luo, Ning
    Bathurst, Richard J.
    GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS, 2018, 12 (02) : 87 - 108
  • [10] Probabilistic Analysis of a Braced Excavation Considering Soil Spatial Variability
    Ding, Shirui
    Yang, Haoqing
    Xu, Jiabao
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON CIVIL ENGINEERING, 2022, : 151 - 159