• DocumentCode
    1990398
  • Title

    Spatial Variability Analysis on Soil Nitrogen and Phosphorus Experiment Based on Geostatisics

  • Author

    Lianqinq Xue ; Dan Li ; Shuo Huang ; Chunlin Wu

  • Author_Institution
    State Key Lab. of Hydrol.-Water Resources & Hydraulic Eng., Hohai Univ., Nanjing
  • Volume
    2
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    Taking Wudaogou Station as the experimental basis, Geostatisics combined with ArcGIS was applied to analyze agricultural non-point sources (AGNPS) pollution characters caused by spatial variability of nitrogen and phosphorus in agricultural soil. A field sampling scheme and structure are to carried out for three different scale watersheds by combining random sampling and systematic sampling method. Through rainfall, runoff and field soil monitoring experiment the spatial space characters of nitrogen, TN, solved phosphate and TP is achieved by Geostatisics and the TP and TN distribution trend in different space scale is figured out. Besides in the paper spatial scale influence to AGNPS and spatial relativity and variability of soil nutrients and nitrogen and phosphorus loss process in outlet caused by spatial Soil variability is discussed. The experiment analysis results can be used to simulate runoff and nutrient loss process in other similar watersheds and the research also indicates the application of Geostatisics technique in large spatial scale is more convenient and helpful in random sampling of AGNPS pollution monitoring.
  • Keywords
    soil pollution; geostatisics; phosphorus; soil monitoring; soil nitrogen; spatial variability analysis; Fertilizers; Irrigation; Monitoring; Nitrogen; Sampling methods; Soil pollution; Surface contamination; Uncertainty; Water pollution; Water resources; Geoestatisitics; nitrogen; phosphorus; simulation; variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3563-0
  • Type

    conf

  • DOI
    10.1109/ETTandGRS.2008.23
  • Filename
    5070349