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[Spatio-temporal Evolution of Groundwater Vulnerability Based on Spatial Autocorrelation].
Liu, Yu; Lan, Shuang-Shuang; Zhang, Yong-Xiang; Li, Fang-Chun; Hou, Shu-Kai.
Afiliación
  • Liu Y; College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
  • Lan SS; Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China.
  • Zhang YX; College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
  • Li FC; Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China.
  • Hou SK; College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China.
Huan Jing Ke Xue ; 38(10): 4236-4244, 2017 Oct 08.
Article en Zh | MEDLINE | ID: mdl-29965207
ABSTRACT
The distribution patterns of human activities affecting groundwater vulnerability vary with time. Studying the temporal and spatial changes in groundwater vulnerability, exploring the distribution characteristics of each period, and predicting the trends of development are important to formulate an effective development plan and reduce the risk of groundwater pollution at the same time. Based on the hydrogeological data as well as humanities and social data for 2004, 2010, and 2016 for the Chaoyang District of Beijing, a comprehensive evaluation model considering the human factors such as the land use types was established using the DRASTIC model. The spatiotemporal pattern of groundwater vulnerability was quantitatively characterized by calculating the Global Moran's Ⅰ and Getis-Ord Gi* index, and the distribution characteristics and variations in groundwater vulnerability were analyzed by the centroid of the G index and the standard deviation ellipse of the study area. The results indicate that in 2004, 2010, and 2016, the areas of high vulnerability have gradually reduced. The groundwater vulnerability in the study area shows a strong spatial aggregation; high concentration areas are mainly distributed in the northeast and southwest regions. The vulnerability of the northeast region has been decreasing each year, while the vulnerability of the northwest region has not changed much. The main reasons are the land use changes and the reductions in fertilizer use.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Huan Jing Ke Xue Año: 2017 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Huan Jing Ke Xue Año: 2017 Tipo del documento: Article País de afiliación: China
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