Impacts of urban land use on the spatial distribution of groundwater pollution, Harbin City, Northeast China

Journal of Contaminant Hydrology

Volumn 215, Issue , 2018, Pages 29-38

  Jia, Zhuo ^a,b   Bian, Jianmin ^a,b   Wang, Yu ^a,b  

^a Jilin University   (China)

^b JILIN UNIVERSITY   (China)

Author keywords

China; Groundwater pollution index; PPDC model; Spatial distribution; Urban land use

Indexed keywords

CALCITE; CALCIUM CARBONATE; GROUNDWATER; GROUNDWATER POLLUTION; LAND USE; POLLUTION DETECTION; SPATIAL DISTRIBUTION; WATER QUALITY; WELLS;

AGRICULTURAL AREAS; CHINA; DISTRIBUTION CHARACTERISTICS; DYNAMIC CLUSTERING; GROUNDWATER MONITORING WELLS; PROJECTION PURSUITS; RAPID URBANIZATIONS; URBAN LAND USE;

GROUNDWATER RESOURCES;

GROUND WATER;

GROUNDWATER POLLUTION; LAND USE CHANGE; MODELING; MONITORING; SPATIAL DISTRIBUTION; URBAN AREA; URBANIZATION; WATER QUALITY;

ARTICLE; CHINA; CONTROLLED STUDY; CORRELATION COEFFICIENT; ENVIRONMENTAL IMPACT; ENVIRONMENTAL IMPACT ASSESSMENT; GENETIC ALGORITHM; INDUSTRIAL AREA; LAND USE; POLLUTION MONITORING; POLLUTION TRANSPORT; PRIORITY JOURNAL; RESIDENTIAL AREA; RURAL AREA; SPATIAL ANALYSIS; URBAN AREA; WATER POLLUTION; WATER POLLUTION INDICATOR; WATER QUALITY; WATER SAMPLING; AGRICULTURE; CITY; ENVIRONMENTAL MONITORING; POLLUTION; PROCEDURES; URBANIZATION; WATER POLLUTANT; WATER SUPPLY;

CHINA; HARBIN; HEILONGJIANG;

AGRICULTURE; CHINA; CITIES; ENVIRONMENTAL MONITORING; ENVIRONMENTAL POLLUTION; GROUNDWATER; URBANIZATION; WATER POLLUTANTS, CHEMICAL; WATER RESOURCES;

EID: 85049468423     PISSN: 01697722     EISSN: 18736009     Source Type: Journal    
DOI: 10.1016/j.jconhyd.2018.06.005     Document Type: Article

References (57)

1. An, Y.J., Kampbell, D.H., Jeong, S.W., Jewell, K.P., Masoner, J.R., Impact of geochemical stressors on shallow groundwater quality. Sci. Total Environ. 348:1 (2005), 257–266, 10.1016/j.scitotenv.2004.12.072.
2. Bailey, R.T., Gates, T.K., Romero, E.C., Assessing the effectiveness of land and water management practices on nonpoint source nitrate levels in an alluvial stream–aquifer system. J. Contam. Hydrol. 179:1 (2015), 102–115, 10.1016/j.jconhyd.2015.05.009.
3. Barron, O.V., Barr, A.D., Donn, M.J., Evolution of nutrient export under urban development in areas affected by shallow watertable. Sci. Total Environ. 443 (2013), 491–504, 10.1016/j.scitotenv.2012.10.085.
4. Bongaarts, J., United Nations, Department of Economic and Social Affairs, population division, sex differentials in childhood mortality. Popu. Dev. Rev., 40(2), 2014, 380, 10.1111/j.1728-4457.2014.00686.x.
5. Brink, C.V.D., Zaadnoordijk, W.J., Grift, B.V.D., Ruiter, P.C.D., Griffioen, J., Withers, P.J.A. et al., Using a groundwater quality negotiation support system to change land-use management near a drinking-water abstraction in the Netherlands. J. Hydrol. 350:3–4 (2008), 339–356, 10.1016/j.jhydrol.2007.10.046.
6. Cai, C., Shang, J., Comprehensive evaluation on urban sustainable development of Harbin City in Northeast China. Chin. Geogr. Sci. 19:2 (2009), 144–150.
7. Chisala, B.N., Tait, N.G., Lerner, D.N., Evaluating the risks of methyl tertiary butyl ether (MTBE) pollution of urban groundwater. J. Contam. Hydrol., 91(1–2), 2007, 128, 10.1016/j.jconhyd.2006.08.013.
8. Deng, C.Z., Jiang, J.S., Zhang, Y.M., Yang, X.K., Zhao, Y., Assessment of the groundwater vulnerability in Harbin and the vicinity. Hydrogeol. Eng. Geol. 38:4 (2011), 135–139.
9. Español, C., Comín, F.A., Gallardo, B., Yao, J., Yela, J.L., Carranza, F. et al., Does land use impact on groundwater invertebrate diversity and functionality in floodplains?. Ecol. Eng. 103 (2016), 394–403, 10.1016/j.ecoleng.2016.11.061.
10. Espezua, S., Villanueva, E., Maciel, C.D., A Projection Pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing 149 (2015), 767–776, 10.1016/j.neucom.2014.07.057.
11. Fan, J.C.C., Gijbels, R., Local Polynomial Modelling and its Applications. 1996, Chapman Hall, 66.
12. Farooqi, A., Masuda, H., Siddiqui, R., Naseem, M., Sources of arsenic and fluoride in highly contaminated soils causing groundwater contamination in Punjab, Pakistan. Arch. Environ. Contam. Toxicol. 56:4 (2009), 693–706.
13. Friedman, J.H., Tukey, J.W., A projection pursuit algorithm for exploratory data analysis. IEEE Trans. Comput. C-23:9 (2006), 881–890, 10.1109/T-C.1974.224051.
14. Gardner, K.K., Vogel, R.M., Predicting ground water nitrate concentration from land use. Ground Water 43:3 (2005), 343–352, 10.1111/j.1745-6584.2005.0031.x.
15. Gong, L., Jin, C., Fuzzy comprehensive evaluation for carrying capacity of regional water resources. Water Resour. Manag. 23:12 (2009), 2505–2513, 10.1007/s11269-008-9393-y.
16. Gong, W., Yuan, L., Fan, W., Stott, P., Analysis and simulation of land use spatial pattern in Harbin prefecture based on trajectories and cellular automata—Markov modelling. Int. J. Appl. Earth Obs. 34 (2015), 207–216, 10.1016/j.jag.2014.07.005.
17. Gu, B., Dong, X., Peng, C., Luo, W., Chang, J., Ge, Y., The long-term impact of urbanization on nitrogen patterns and dynamics in Shanghai, China. Environ. Pollut. 171 (2012), 30–37, 10.1016/j.envpol.2012.07.015.
18. Hall, P., On polynomial-based projection indices for exploratory projection pursuit. Anal. Stat. 17:2 (1989), 589–605.
19. Har-Even, M., Brailovsky, V.L., Probabilistic validation approach for clustering. Patter. Recogn. Lett. 16:11 (1995), 1189–1196, 10.1016/0167-8655(95)00073-P.
20. Helsel, D.R., Hirsch, R.M., Datasets from: Statistical Methods in Water Resources. 2002, US Geological Survey, Reston, VA, 2002.
21. Holm, S., A simple sequentially rejective multiple test procedure. Scand. J. Stat., 1979, 65–70.
22. Hugger, J., Local polynomial interpolation in a rectangle. Calcolo 31:3–4 (1994), 233–256, 10.1007/BF02575880.
23. Jana, P.K., Polynomial interpolation and polynomial root finding on OTIS-mesh. Parallel Comput. 32:4 (2006), 301–312, 10.1016/j.parco.2006.01.001.
24. Janniche, G.S., Spliid, H., Albrechtsen, H.J., Microbial Community-Level Physiological Profiles (CLPP) and herbicide mineralization potential in groundwater affected by agricultural land use. J. Contam. Hydrol. 140 (2012), 45–55, 10.1016/j.jconhyd.2012.08.008.
25. Jie, C., Qing, L., Hui, Q., Application of improved Nemerow index method based on entropy weight for groundwater quality evaluation. Int. J. Environ. Sci. 2:3 (2012), 1284–1290.
26. Kaushal, S.S., Groffman, P.M., Band, L.E., Elliott, E.M., Shields, C.A., Kendall, C., Tracking nonpoint source nitrogen pollution in human-impacted watersheds. Environ. Sci. Technol. 45:19 (2011), 8225–8232, 10.1021/es200779e.
27. Kellner, E., Hubbart, J., Agricultural and forested land use impacts on floodplain shallow groundwater temperature regime. Hydrol. Process. 30:4 (2016), 625–636, 10.1002/hyp.10645.
28. Koh, E.H., Lee, S.H., Kaown, D., Moon, H.S., Lee, E., Lee, K.K., Kang, B.R., Impacts of land use change and groundwater management on long-term nitrate-nitrogen and chloride trends in groundwater of Jeju Island, Korea. Environ. Earth Sci., 76(4), 2017, 176, 10.1007/s12665-017-6466-3.
29. Kunis, S., Potts, D., Stability results for scattered data interpolation by trigonometric polynomials. SIAM J. Sci. Comput. 29:4 (2007), 1403–1419.
30. Li, X.K., Chu, Z.R., Liu, Y.J., Zhu, M.T., Yang, L., Zhang, J., Molecular characterization of microbial populations in full-scale biofilters treating iron, manganese and ammonia containing groundwater in Harbin, China. Bioresour. Technol. 147 (2013), 234–239, 10.1016/j.biortech.2013.08.008.
31. Liu, Y., Yu, Y., Guo, H., Yang, P., Optimal land-use management for surface source water protection under uncertainty: a case study of Songhuaba Watershed (Southwestern China). Water Resour. Manag. 23:10 (2009), 2069–2083, 10.1007/s11269-008-9358-1.
32. Nasrabadi, T., Maedeh, P.A., Groundwater quality degradation of urban areas (case study: Tehran city, Iran). Int. J. Environ Sci. 11:2 (2014), 293–302, 10.1007/s13762-013-0340-y.
33. Navarro, A., Carbonell, M., Evaluation of groundwater contamination beneath an urban environment: the Besòs river basin (Barcelona, Spain). J. Environ. Manag. 85:2 (2007), 259–269, 10.1016/j.jenvman.2006.08.021.
34. Ni, C.J., Wang, S.J., Cui, P., New model for projection pursuit dynamic cluster and its application to classifying natural grasslands. J. Saf. Environ. 5 (2006), 68–71.
35. Parkinson, J., Tayler, K., Decentralized wastewater management in peri-urban areas in low-income countries. Environ. Urban. 15:1 (2003), 75–90, 10.1177/095624780301500119.
36. Pires, C.A.L., Ribeiro, A.F.S., Separation of the atmospheric variability into non-Gaussian multidimensional sources by projection pursuit techniques. Clim. Dynam. 48:3–4 (2017), 821–850, 10.1007/s00382-016-3112-9.
37. Radanović M., Bašić T., Accuracy assessment and comparison of interpolation methods on geoid models. Geod. Vestni. 62:1 (2018), 68–78.
38. Reddy, A.G., Saibaba, B., Sudarshan, G., Hydrogeochemical characterization of contaminated groundwater in Patancheru industrial area, southern India. Environ. Monit. Assess. 184:6 (2012), 3557–3576, 10.1007/s10661-011-2208-2.
39. Rezvani, M.R., Mansourian, H., Sattari, M.H., Evaluating quality of life in urban areas (case study: Noorabad City, Iran). Soc. Indic. Res. 112:1 (2013), 203–220, 10.1007/s11205-012-0048-2.
40. Sarukkalige, P.R., Assessment of spatial variation of groundwater quality and its relationship with land use in Perth metropolitan. J. Water Res. Prot. 3:5 (2011), 311–317, 10.4236/jwarp.2011.35039.
41. Shao, L., Zhou, X.D., Yang, F.T., Han, J., Projection pursuit model for comprehensive evaluation of water quality based on free search. China Environ. Sci. 30:12 (2010), 1708–1714.
42. Singh, S.K., Srivastava, P.K., Pandey, A.C., Gautam, S.K., Integrated assessment of groundwater influenced by a Confluence River system: concurrence with remote sensing and geochemical modelling. Water Resour. Manag. 27:12 (2013), 4291–4313, 10.1007/s11269-013-0408-y.
43. Vystavna, Y., Diadin, D., Yakovlev, V., Hejzlar, J., Vadillo, I., Huneau, F., Lehmann, M.F., Nitrate contamination in a shallow urban aquifer in East Ukraine: evidence from hydrochemical, stable isotopes of nitrate and land use analysis. Environ. Earth Sci., 76(13), 2017, 463, 10.1007/s12665-017-6796-1.
44. Wang, S.J., Ni, C.J., Application of projection pursuit dynamic cluster model in regional partition of water resources in China. Water Resour. Manag. 22:10 (2008), 1421–1429, 10.1007/s11269-007-9234-4.
45. Wang, S., Zhang, X., Yang, Z., Ding, J., Shen, Z., Projection pursuit cluster model based on genetic algorithm and its application in Karstic water pollution evaluation. Int. J. Environ. Pollut. 28:3–4 (2006), 253–260, 10.1504/IJEP.2006.011210.
46. Wei, R.C., Xiao, C.L., Liang, X.J., Spatio-temporal evolution of groundwater pollution in the urban areas of Jilin City. China Environ. Sci. 34:2 (2014), 417–423.
47. Xue, D., Botte, J., De Baets, B., Accoe, F., Nestler, A., Taylor, P., Van Cleemput, O., Berglund, M., Boeckx, P., Present limitations and future prospects of stable isotope methods for nitrate source identification in surface-and groundwater. Water Res. 43:5 (2009), 1159–1170, 10.1016/j.watres.2008.12.048.
48. Yan, B., Xiao, C., Liang, X., Fang, Z., Impacts of urban land use on nitrate contamination in groundwater, Jilin City, Northeast China. Arab. J. Geosci., 9(2), 2016, 105, 10.1007/s12517-015-2052-8.
49. Yingxue, X., Shao, J., Cui, Y., Yanqing, Y., Weiyan, L., Application of groundwater modeling systems to the evaluation of groundwater resources in the Yinchuan Plain. Hydrog. Eng. Geol.(3), 2015, 7–12.
50. Yu, L., Application of projection pursuit model based on improved genetic algorithm in comprehensive assessment. Inform. Technol. J. 13:11 (2014), 1837–1842.
51. Yu, G.R., Ye, H., Xia, Z.Q., Zhao, X.Y., Improvement of projection pursuit classification model and its application in evaluating water quality. J. Sichuan. Univ. 40:6 (2008), 24–29.
52. Zhang, X.L., Ding, J., Yong, Li Zuo, University, S, Chengdu, Chengdu, Application of new projection pursuit algorithm in assessing water quality. China Env. 20:2 (2000), 187–189.
53. Zhang, G., Zhao, X.L., Wang, R.F., Chen, H., Forecast on the geothermal resources and its value in Xihuangdi of HaiCheng City in Liaoning Province. Ground Water 30:2 (2008), 48–50.
54. Zhang, Q., Sun, J., Liu, J., Huang, G., Lu, C., Zhang, Y., Driving mechanism and sources of groundwater nitrate contamination in the rapidly urbanized region of south China. J. Contam. Hydrol., 182, 2015, 221, 10.1016/j.jconhyd.2015.09.009.
55. Zhao, J., Jin, J., Zhang, X., Chen, Y., Dynamic risk assessment model for water quality on projection pursuit cluster. Hydrol. Res. 43:6 (2012), 798–807, 10.2166/nh.2012.095.
56. Zhao, J., Jin, J., Guo, Q., Liu, L., Chen, Y., Pan, M., Dynamic risk assessment model for flood disaster on a projection pursuit cluster and its application. Stoch. Env. Res. Risk A 28:8 (2014), 2175–2183, 10.1007/s00477-014-0881-8.
57. Zuppa, C., Error estimates for modified local Shepard's interpolation formula. Appl. Numer. Math. 49:2 (2004), 245–259, 10.1016/j.apnum.2003.11.001.