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基于空间模拟退火算法的最优土壤采样尺度选择研究
王晓瑞1, 周生路2
1.江苏省土地开发整理中心;2.南京大学
摘要:
在土壤学研究中,如何选择最合适的土壤采样尺度,以最少的样点数量,最优的空间布局进行土壤采样,是区域土壤调查的关键问题。以研究区0.5km×0.5km(尺度 a)网格的7050个样点为基础,分别得到1km×1km网格的1757个点(尺度 b), 2km×2km网格的444个点(尺度 c), 4km×4km网格的110个点(尺度 d),以土壤有机质(SOM)为目标属性,运用模拟退火算法对四种采样尺度的土壤样点进行优化选择,确定区域土壤调查的最优采样尺度。研究发现,通过模拟退火算法优化选择后,尺度a、b、c、d的最优样点数量分别为956、751、283和95个,优选的样点在空间上均匀分布。随着采样尺度的减小,采样点数量呈倍数增长,但对土壤属性的预测精度并没有相应比例的增加,且随着样点数量的增加,土壤属性预测精度的增加量逐渐减小。从样点数量与土壤属性预测精度综合来看,2km×2km的采样尺度是最优的土壤采样尺度。
关键词:  采样尺度,模拟退火算法,土壤有机质,土壤属性预测
DOI:
分类号:P934
基金项目:江苏省国土资源科技计划项目(NO: 2017018、2017019、2018004)
Study on Optimal Soil Sampling Scale Selection Based on Spatial Simulated Annealing Method
wangxiaorui1, zhoushegnlu2
1.Land Development and Consolidation Center of Jiangsu Province;2.NanJing University
Abstract:
Soil sampling scale is an important factor affecting prediction and mapping of soil organic matter (SOM), choosing the appropriate soil sampling scale to sample the minimum number of points with the optimum spatial layout is a key problem in regional soil surveys. We tested four sampling point layouts at different scales based on different grid sizes. Scale A: 7,050 sampling points in 0.5 km × 0.5 km, Scale B: 1,757 sampling points in 1 km × 1 km, Scale C: 444 sampling points in 2 km × 2 km, and Scale D: 110 sampling points in 4 km × 4 km. Then, the optimized selection of the original soil sampling points at the four sampling scales was conducted using the simulated annealing method, and the optimum sampling numbers of Scales A, B, C and D, 956, 751, 283 and 95, respectively, were determined and uniformly distributed in the space. Relative to the decrease in the sampling scale, the number of sampling points increased multiplicatively, but the predicted accuracy of the soil properties did not increase proportionately. With the increased sampling point number, the predicted accuracy of the soil properties gradually decreased. Considering the number of samples and the predicted accuracy of the soil properties, a sampling scale of 2 km × 2 km was optimal for soil organic matter.
Key words:  Soil sampling scale  Simulated annealing method  Prediction of soil properties  Soil organic matter

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