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| The optimization and efficiency of a detailed soil sampling design |
| Received:June 27, 2018 |
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| KeyWord:soil pollution survey;detailed soil sampling;indicator kriging;distribution efficiency |
| Author Name | Affiliation | E-mail | | HAO Yi-cheng | Institute of Soil and Solid Waste, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
School of Land Science and Technology, China University of Geosciences, Beijing 100083, China | | | SHI Hua-ding | Institute of Soil and Solid Waste, Chinese Research Academy of Environmental Sciences, Beijing 100012, China | shihd@craes.org.cn | | BAI Zhong-ke | School of Land Science and Technology, China University of Geosciences, Beijing 100083, China | | | YANG Ze-dong | School of Land Science and Technology, China University of Geosciences, Beijing 100083, China | | | QIN Zhi-heng | Institute of Soil and Solid Waste, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
School of Land Science and Technology, China University of Geosciences, Beijing 100083, China | |
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| Abstract: |
| To explore the efficiency of detailed soil sampling in different areas with different sample sizes during the investigation of soil pollution, and to propose an efficient encryption method, based on the preliminary investigation, this study, combined with case validation, predicted the probability of soil contamination by indicator kriging, and compared the efficiency of different probability ranges and different soil sample sizes. The distribution of encrypted sites in the area with a pollution probability between 0.50~0.95 increased the estimation accuracy of contaminated soil, while in other areas it had a negative effect. In addition, when the number of encryption sites was less than 20, the estimation accuracy of the soil contamination range increased. If the number of encryption sites exceeded 20, then the estimation accuracy of the soil contamination range decreased. Under the premise of non-uniform distribution, encrypted sites did not necessarily improve the estimation accuracy of soil contamination. Encrypting sites in clean or contaminated areas and encrypting sites too densely in suspected contaminated areas reduced the estimation accuracy of soil contamination in the entire study area. Only encrypting the appropriate number of points in the suspected contaminated area helped improve the estimation accuracy. |
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