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
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