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不同随机模拟方法定量土壤镉含量预测的不确定性研究

Keywords: 土壤制图,局部不确定性,随机模拟,序贯指示模拟,序贯指示协同模拟

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Abstract:

定量土壤重金属空间预测的局部不确定性对于控制土壤空间数据的应用风险具有重要意义。描述统计分析表明,张家港541个土壤表层(0~15cm)样品的Cd含量变异性较大,而pH的变异性较小,并且土壤Cd含量与pH存在极显著正相关(r=0.51,P<0.001)。本文采用序贯指示模拟、序贯指示协同模拟和270个Cd模拟集数据对Cd含量进行了1000次条件随机模拟。结果表明,序贯指示模拟的中值估计对271个验证点Cd含量预测的均方根误差为0.080,增加pH后的序贯指示协同模拟预测的均方根误差降低为0.069,预测精度有所提高。对定量土壤Cd含量预测的局部不确定性而言,随着临界概率值的增大,这两种随机模拟方法对验证点位置不同Cd阈值的局部不确定性定量的分类错误率也越来越大。如果选择临界概率值为0.50可满足要求,则序贯指示模拟的分类错误率要小于序贯指示协同模拟;如果要求较高的可信度、选择临界概率为0.95,序贯指示协同模拟的分类错误率则比序贯指示模拟要低。

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