Special Issue "Geostatistics in Environmental Pollution and Risk Assessment"
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).
Deadline for manuscript submissions: closed (28 February 2011)
Prof. Dr. Yu-Pin Lin
Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
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Interests: spatial statistics and modeling in environmental and ecological systems; applications of GIS and remote sensing in environmental and ecological systems; freshwater monitoring and modeling; optimal environmental monitoring network design; landscape ecology in land-use management and planning; ecohydrology; groundwater modeling; land-use planning and modeling; soil heavy metal pollution assessment; multiscale analysis in environmental and ecological systems; system dynamic modeling in environmental systems; ecosystem services; system dynamic modeling; optimization techniques
Pollutants in the environment, such as in soil, air and water, occasionally exhibit complex spatial variations and patterns that may complicate efforts to identify the characteristics of the pollutants, particularly in developing areas. Such complex variations and patterns influence the exposure to risk and the development of public health policies at a certain level. Therefore, spatial mapping of polluted areas and assessment of pollution risks are essential because the derived information can contribute significantly to efforts to formulate environmental action strategies and public health policies.
Geostatistics provides various effective methods that can (1) quantify the spatial distribution of a pollutant; (2) improve spatial estimates or simulate exposure concentrations; and (3) spatially quantify and characterize pollution risks for the environment and health risks for humans by using geostatistical methods that exploit the derived geospatial data. In recent years, geostatistical methods have been widely applied in studies of environmental pollution, such as in soil, air and water, to characterize the spatial structures of pollutants, delineate polluted areas, assess pollution risks, and even characterize the spatial patterns of diseases. Accordingly, this special issue focuses on applications of geostatistical methods in environmental pollution and risk assessment studies. Research papers on novel geostatistical techniques that improve such studies are particularly welcome.
Prof. Dr. Yu-Pin Lin
- geostatistical estimation and simulation
- spatial uncertainty
- spatial and temporal pattern analysis
- air, soil and water pollution
- exposure assessment and risk assessment
- toxicity and hazard assessment
- ecological risk assessment
- spatiotemporal modeling