Paper
4 February 2011 Study on the spatial distribution of the content of potassium in the upper stream of the Hunhe River basin, northeastern China
Ruichao Guo, Xianfeng Shi, Xingyuan He, Wei Chen, Xiaoyu Li, Weihang Ding
Author Affiliations +
Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 77520L (2011) https://doi.org/10.1117/12.887701
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China
Abstract
Continuous soil nutrient data is the basic data of soil information system, soil nutrient spatial interpolation study becomes very important because it can affect the data reliability of soil nutrient data straightly. Kriging was used for analysing the spatial variability of soil K content in the upper stream of the Hunhe River basin, Liaoning Province which covers 53% of the total area of Qingyuan County, by employing geostatistical methods and GIS technique. The topsoil samples were collected at 217 locations in cropland or forest land. The results show that soil total K and available K are strongly spatially dependent, followed a normal distribution, with an arithmetic mean of 1.83%, 88.00 mg/kg and median of 1.82%, 79.52 mg/kg. Semivariograms showes that both the soil total K and available contents had strong spatial dependency, which might be attributed to intrinsic and extrinsic factors. The soil available K contents were the highest in secondary forest soils and lowest in non-irrigated farmland soils. The experimental variogram of soil K content has been fitted with an exponential model. Map of the soil K content was generated through interpolation of measured values by ordinary kriging.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruichao Guo, Xianfeng Shi, Xingyuan He, Wei Chen, Xiaoyu Li, and Weihang Ding "Study on the spatial distribution of the content of potassium in the upper stream of the Hunhe River basin, northeastern China", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 77520L (4 February 2011); https://doi.org/10.1117/12.887701
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KEYWORDS
Soil science

Potassium

Statistical analysis

Geographic information systems

Soil contamination

Chemical analysis

Agriculture

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