Spatio-temporal Evolution of Groundwater Vulnerability Based on Spatial Autocorrelation

被引：5
|
作者：
Liu Y. [1 ,2 ]
Lan S.-S. [1 ,2 ]
Zhang Y.-X. [1 ,2 ]
Li F.-C. [1 ,2 ]
Hou S.-K. [1 ,2 ]
机构：
[1] College of Architecture and Civil Engineering, Beijing University of Technology, Beijing
[2] Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing
来源：
Huanjing Kexue/Environmental Science | 2017年 / 38卷 / 10期
关键词：
Getis-Ord Gi[!sup]*[!/sup; Global Moran's I; Groundwater vulnerability; Spatial autocorrelation; Spatio-temporal evolution;
D O I：
10.13227/j.hjkx.201704052
中图分类号：
学科分类号：
摘要：
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. © 2017, Science Press. All right reserved.
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页码：4236 / 4244
页数：8
相关论文
共 23 条
  • [1] Shen L.N., Li G.H., Groundwater pollution risk mapping method, Environmental Science, 31, 4, pp. 918-923, (2010)
  • [2] Wang H.N., He J.T., Ma W.J., Et al., Comparative analysis of two different methods for risk assessment of groundwater pollution: a case study in Beijing Plain, Environmental Science, 36, 1, pp. 186-193, (2015)
  • [3] Martinez-Bastida J.J., Arauzo M., Valladolid M., Intrinsic and specific vulnerability of groundwater in central Spain: the risk of nitrate pollution, Hydrogeology Journal, 18, 3, pp. 681-698, (2010)
  • [4] Aller L., Bennet T., Lehr J.H., Et al., DRASTIC: A Standardized System for Evaluating Ground Water Pollution Potential Using Hydrogeological Settings, (1987)
  • [5] Wang J.J., He J.T., Lu Y., Et al., Quantitative method of representative contaminants in groundwater pollution risk assessment, Environmental Science, 33, 3, pp. 771-776, (2012)
  • [6] Xi X., Sun C.Z., Wu T., Z, Et al., Spatial-temporal evolution of groundwater vulnerability in the lower reaches of the Liaohe River Plain, Acta Ecologica Sinica, 36, 10, pp. 3074-3083, (2016)
  • [7] Hao J., Zhang Y.X., Ding F., Et al., Improved DRASTIC model and its applying for the Fuzzy evaluation of groundwater vulnerability, Hydrogeology and Engineering Geology, 40, 5, pp. 34-39, (2013)
  • [8] Sun F.S., Cheng P., Zhang B., Physical process based risk assessment of groundwater pollution in the mining area, Environmental Science, 35, 4, pp. 1285-1289, (2014)
  • [9] Li R.P., Merchant J.W., Modeling vulnerability of groundwater to pollution under future scenarios of climate change and biofuels-related land use change: a case study in North Dakota, USA, Science of the Total Environment, 447, pp. 32-45, (2013)
  • [10] Ducci D., Sellerino M., Vulnerability mapping of groundwater contamination based on 3D lithostratigraphical models of porous aquifers, Science of the Total Environment, 447, pp. 315-322, (2013)
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