行政院國家科學委員會專題研究計畫成果報告:地理統計模擬與估計法評估土壤重金屬污染範圍

Collected data in soil heavy metal
investigations may contain significant
levels of uncertainty, including complex
and even unexplainable spatial
variations at a small investigation site.
Therefore, this study identifies the
spatial structure of soil zinc in the
northern part of Changhua County in
Taiwan to generate multiple realization
of soil zinc. The spatial maps of this
heavy metal are simulated by using the
geostatistical simulation, and estimated
by using ordinary kriging and natural
log kriging. The estimation and
simulation results indicate that
Sequential Gaussian Simulations can
reproduce the spatial structure for
investigated data. Furthermore,
displaying a low spatial variability, the
ordinary kriging can not fit the spatial
structure and small-scale variation for
the soil zinc investigated data. The
multiple simulated realizations also can
be used as secondary variable for
cokriging to improve the accuracy of
estimation.