There are tens of millions of contaminated soil sites in the world, and with an increasing
population and associated risk there is a growing pressure to remediate them. A barrier to …

Heavy metal pollution of sediments is a global concern and can be a serious problem in
heavily industrialized parts of the world. Pollution by manganese is particularly common due …

Groundwater pollution identification is an inverse problem. When solving the inverse
problem using regular methods such as simulation-optimization or stochastic statistical …

Concentrations of four heavy metals (Cr, Cu, Ni, and Zn) were measured at 1,082 sampling
sites in Changhua county of central Taiwan. A hazard zone is defined in the study as a place …

Ixodes scapularis is the vector of at least seven human pathogens in Minnesota, two of
which are known to cause Lyme disease (Borrelia burgdorferi sensu stricto and Borrelia …

Mapping of geochemical anomalies is crucial to exploration and environmental
geochemistry. The complex geochemical landscape, multiple geological sources and …

Light detection and ranging (LiDAR) is an effective technology to detect highly dense-point
elevation data from terrain surfaces. The density of LiDAR data points significantly affects the …

Optimal design facilitates intelligent data collection. In this paper, we introduce a fully
Bayesian design approach for spatial processes with complex covariance structures, like …

Understanding the spatial soil salinity aids farmers and researchers in identifying areas in
the field where special management practices are required. Apparent electrical conductivity …

The geostatistical technique of Kriging has extensively been used for the investigation and
delineation of soil heavy metal pollution. Kriging is rarely used in practical circumstances …