Stefan Daniel Maramis, Rika Ernawati and Waterman Sulistyana
Bargawa. (2021). Distribution analysis of heavy metal contaminants in soil
with geostatistic methods; paper review. Journal Eduvest. 1(7): 620-628
Heavy metal contaminants in the soil will have a direct effect on
human life. The spatial distribution of naturally occurring heavy
metals is highly heterogeneous and significantly increased
concentrations may be present in the soil at certain locations.
Heavy metals in areas of high concentration can be distributed to
other areas by surface runoff, groundwater flow, weathering and
atmospheric cycles (eg wind, sea salt spray, volcanic eruptions,
deposition by rivers). More and more people are now using a
combination of geographic information science (GIS) with
geostatistical statistical analysis techniques to examine the
spatial distribution of heavy metals in soils on a regional scale.
The most widely used geostatistical methods are the Inverse
Distance Weighted, Kriging, and Spatial Autocorrelation
methods as well as other methods. This review paper will explain
clearly the source of the presence of heavy metals in soil,
geostatistical methods that are often used, as well as case studies
on the use of geostatistics for the distribution of heavy metals.
The use of geostatistical models allows us to accurately assess
the relationship between the spatial distribution of heavy metals
and other parameters in a map.
INTRODUCTION
Heavy metal contaminants in the soil will be a very serious problem because it takes
a long time to repair and restore soil conditions to normal (Handayanto, Nuraini,
Muddarisna, Syam, & Fiqri, 2017). Examining these uncertainties is essential for designing
and implementing risk mitigation strategies, and only focusing on reducing soil