Application of Bayesian Intrinsic Random Effect Model to Contaminated Soil
Date Issued
2004
Date
2004
Author(s)
Wang, Wei-Ming
DOI
zh-TW
Abstract
In the procedure of the soil remediation practice in effect, the land should be under control and remediation as long as there is one sample over polluted concentration threshold. There is two problem of this strategy. First, to decide the polluted concentration of the whole unit for remediation by a few samples will ignore the error of estimate. Because of the small amount of samples, even though the error is taken into consideration, there may be big error. Furthermore, generally, due to the limitation of budget and the difficulty of practice, it is not feasible to increase the sample size. Using the concept of probability to take statistic error in to consideration the problem of the soil remediation practice in effect can be solved. The research, in light of the characteristics of geographic information, adapt random effect model and use intrinsic prior to formulate the correlation of the average polluted concentration in different remediation units. The research can estimate effectively the average soil polluted concentration and use posterior to find the best remediation strategy. To compare the remediation strategy of this research with the recent one, the former is much more robust, because it is not affected by the polluted concentration under or over. However, there is a risk that the small area in a unit may contain high polluted concentration.
Subjects
克利金法
內生事前分配
地理統計
隨機效應模式
Intrinsic prior
Geostatistics
Kriging
Random effect model
Type
thesis
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