Special Issue "Geostatistics in Environmental Pollution and Risk Assessment"

Guest Editor
Prof. Dr. Yu-Pin Lin
Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
Website: http://homepage.ntu.edu.tw/~yplin/Eindex.htm
E-Mail:
Phone: +886 2 33663467
Fax: +886 2 23686980
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 Watershed 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 service of stream ecosystem restoration; system dynamic modeling; optimization techniques

Dear Colleagues,

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
Guest Editor

Submission

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs).

• geostatistics
• 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