title: Regional risk assessment approaches to land planning for industrial polluted areas in China: the Hulunbeier region case study.
abstract: The rapid industrial development and urbanization processes that occurred in China over the past 30years has increased dramatically the consumption of natural resources and raw materials, thus exacerbating the human pressure on environmental ecosystems. In result, large scale environmental pollution of soil, natural waters and urban air were recorded. The development of effective industrial planning to support regional sustainable economy development has become an issue of serious concern for local authorities which need to select safe sites for new industrial settlements (i.e. industrial plants) according to assessment approaches considering cumulative impacts, synergistic pollution effects and risks of accidental releases. In order to support decision makers in the development of efficient and effective regional land-use plans encompassing the identification of suitable areas for new industrial settlements and areas in need of intervention measures, this study provides a spatial regional risk assessment methodology which integrates relative risk assessment (RRA) and socio-economic assessment (SEA) and makes use of spatial analysis (GIS) methodologies and multicriteria decision analysis (MCDA) techniques. The proposed methodology was applied to the Chinese region of Hulunbeier which is located in eastern Inner Mongolia Autonomous Region, adjacent to the Republic of Mongolia. The application results demonstrated the effectiveness of the proposed methodology in the identification of the most hazardous and risky industrial settlements, the most vulnerable regional receptors and the regional districts which resulted to be the most relevant for intervention measures since they are characterized by high regional risk and excellent socio-economic development conditions.
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
authors.forename: Daiqing
authors.initials: D
authors.lastname: Li
authors.affiliation: College of Water Sciences, Beijing Normal University, Beijing 100875, China.
authors.forename: Chen
authors.initials: C
authors.lastname: Zhang
authors.affiliation: University Ca' Foscari Venice, Department of Environmental Sciences, Informatics and Statistics, Calle Larga S. Marta 2137, 30123 Venice, Italy.
authors.forename: Lisa
authors.initials: L
authors.lastname: Pizzol
authors.affiliation: University Ca' Foscari Venice, Department of Environmental Sciences, Informatics and Statistics, Calle Larga S. Marta 2137, 30123 Venice, Italy.
authors.forename: Andrea
authors.initials: A
authors.lastname: Critto
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
authors.forename: Haibo
authors.initials: H
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
authors.forename: Shihai
authors.initials: S
authors.lastname: Lv
authors.affiliation: University Ca' Foscari Venice, Department of Environmental Sciences, Informatics and Statistics, Calle Larga S. Marta 2137, 30123 Venice, Italy. Electronic address: marcom@unive.it.
authors.forename: Antonio
authors.initials: A
authors.lastname: Marcomini
mesh_terms: D002681:China; D003247:Conservation of Natural Resources; D003657:Decision Making; D057217:Economic Development; D004787:Environmental Pollution / Q000032:analysis*; D006801:Humans; D007221:Industry / Q000592:standards / Q000639:trends; D018570:Risk Assessment / Q000379:methods*; D012959:Socioeconomic Factors; D062206:Spatial Analysis
keywords: Industrial pollution; Regional land planning; Spatial regional risk assessment