A Soil Environmental Quality Assessment Model Based on Data Fusion and Its Application in Hebei Province

Zheng Huo, Junping Tian, Yanbin Wu and Fengjiao Ma
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Zheng Huo: School of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, China
Junping Tian: GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, China
Yanbin Wu: GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, China
Fengjiao Ma: GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, China

Sustainability, 2020, vol. 12, issue 17, 1-15

Abstract: Soil pollution has become one of the most important environmental issues in China. It is very important to evaluate soil environmental quality comprehensively and objectively. This paper proposes a soil environment quality assessment model based on the Driving Force-Pressure-State-Impact-Response (DPSIR) model and data fusion. At first, 18 evaluation indicators are selected, including complex indexes, such as the industrialization index, heavy metal pollution index, organic pollution index, potential ecological risk index, and human health risk index, and single indexes such as population density, fertilizer/pesticide application intensity, annual average air quality index, etc. Then, hierarchical analysis model is constructed, and the weight of each indicator is calculated based on Analytic Hierarchy Process (AHP) method. According to the quartile of indicator values of 32 provincial administrative divisions on the Chinese mainland, the values of each indicator are standardized and graded. Finally, the soil environmental quality index (SEQI) is calculated by the weighted average of the standard values of the 18 indicators. The assessment model is then applied in evaluating soil quality of Hebei Province, China. The results show that the soil environmental quality of Hebei’s agricultural land is in a medium state, and the industrial land is approaching the alert state. The pressure of soil pollution mainly comes from the discharge of industrial pollutants and the application of pesticides and fertilizers. Soil pollutants, such as lead, copper, zinc, benzo[a]pyrene, and benzo[a] should be especially controlled.

Keywords: soil pollution; soil environmental quality; DPSIR model; data fusion (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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