Soil texture distribution simulation and risk assessment using transition probability-based geostatistics
Xiaopeng Li 1, 2
Jianli Liu 1
Jiabao Zhang 1
Weipeng Wang 1, 3
Wenwen Xin 1, 3
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Institute of Soil Science, Chinese Academy of Sciences, 71 East Beijing Road, Nanjing 210008, China
Department of Renewable Resources, University of Alberta, 116 St. and 85 Ave., Edmonton, AB T6G 2E3, Canada
University of Chinese Academy of Sciences, 19A Yuquan Road, Beijing 100049, China
Int. Agrophys. 2014, 28(4): 447–457
Three dimensional soil textural structure in a township was conditionally simulated using a transition probability-based indicator geostatistical method based on 270 soil texture samples from 27 profiles. Additionally the distribution of soil profiles lacking clay interlayers (indicating high irrigation water and nutrient leaching risk) was analyzed using 500 realizations from the simulation. The results indicated that the simulation could predict the soil texture distribution with low uncertainties using the existing data, and the predicted soil map (0-10 cm) formed by the maximum probable soil textures also exhibited a good agreement with the legacy soil survey map. For water and nutrient leaching risk analysis, the areas lacking clay interlayer could be located; however, their distribution was still highly uncertain if based only on the existing sampling data. That means supplementary sampling in future is required for the risk assessment, and the existing study can help to optimise the sampling points and their distribution. Generally, the transition probability-based geostatistical simulation, as a stochastic conditional simulation method, exhibited its potential in soil texture spatial reproduction and related risk assessment.