Quantitative assessment of groundwater pollution intensity on typical contaminated sites in China using grey relational analysis and numerical simulation

Environmental Earth Sciences

Volumn 74, Issue 5, 2015, Pages 3955-3968

  Li, Juan ^a,b   Li, Xiang ^b   Lv, Ningqing ^b   Yang, Yang ^b,c   Xi, Beidou ^b   Li, Mingxiao ^b   Bai, Shunguo ^c   Liu, Di ^b  

^a BEIJING NORMAL UNIVERSITY   (China)

^b CHINESE RESEARCH ACADEMY OF ENVIRONMENTAL SCIENCES   (China)

^c AGRICULTURAL UNIVERSITY OF HEBEI   (China)

Author keywords

Ammonia nitrogen; Grey relational theory; Groundwater; Groundwater pollution intensity; Quantitative assessment

Indexed keywords

AMMONIA; AQUIFERS; DIFFUSION; FORECASTING; GROUNDWATER; GROUNDWATER RESOURCES; HYDROGEOLOGY; INFORMATION FILTERING; LAND USE; LINEAR REGRESSION; NITROGEN; POLLUTION; REGRESSION ANALYSIS; RISK ASSESSMENT; SOIL POLLUTION;

GREY RELATIONAL ANALYSES (GRA); GREY RELATIONAL ANALYSIS; GREY-RELATIONAL THEORY; GROUNDWATER VULNERABILITY ASSESSMENTS; HYDROGEOLOGICAL CONDITIONS; MULTIPLE LINEAR REGRESSIONS; QUANTITATIVE ASSESSMENTS; VULNERABILITY ASSESSMENTS;

GROUNDWATER POLLUTION;

AMMONIA; AQUIFER; COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); ERROR ANALYSIS; GROUNDWATER POLLUTION; LAND USE PLANNING; NITROGEN; NUMERICAL MODEL; QUANTITATIVE ANALYSIS; REGRESSION ANALYSIS; RISK ASSESSMENT; SOFTWARE; VADOSE ZONE; VULNERABILITY;

CHINA;

EID: 84940613717     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-014-3980-4     Document Type: Article

References (68)

1. Abbas AR, Li MH, Tai KC (2008) Optimizing SUS 304 wire drawing process by grey relational analysis utilizing Taguchi method. J Univ Sci Technol Beijing 15(6):714–722
2. Alam MJ, Yuan DX, Yong JJ, Sun YC, Li Y, Xu X (2014) Sources and transports of organochlorine pesticides in the Nanshan underground river, China. Environ Earth Sci 71(4):1977–1987
3. Alcalá FJ, Custodio E (2014) Spatial average aquifer recharge through atmospheric chloride mass balance and its uncertainty in continental Spain. Hydrol Process 28(2):218–236
4. Aller L, Bennet T (1987) DRASTIC: a standardized system for evaluating groundwater pollution potential using hydrogeological settings. EPA/600/2–87/035. US Environmental Protection Agency, USA
5. Andrade A, Stigter TY (2009) Multi-method assessment of nitrate and pesticide contamination in shallow alluvial groundwater as a function of hydrogeological setting and land use. Agric Water Manag 96(12):1751–1765
6. Anwar S, Watanabe K (2011) Performance comparison of multiple linear regression and artificial neural networks in predicting depositor return of Islamic Bank, vol 3. IACSIT Press, Hong Kong, pp 9–13
7. Bandyopadhyay G, Chattopadhyay S (2007) Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone. Int J Environ Sci Technol 4(1):141–149
8. Chen H, Chang N (2000) Prediction analysis of solid waste generation based on gray fuzzy dynamic modeling. Resour Conserv Recycl 29:1–18
9. Chen F, Huang SH, Zhang YP, Gao W, Yang T (2009) A diagnosis method of vibration fault of a steam turbine based on information entropy and grey correlation analysis. Int J Plant Eng Manag 14(4):206–211
10. Connell LD, Daele G (2003) A quantitative approach to aquifer vulnerability mapping. J Hydrol 276(1–4):71–88
11. Cui XH, Li BH, Chen HH (2008) Contamination characteristics and pollutant sources analysis on PAHs in shallow groundwater in suburb of Taihu plain (in Chinese). Environ Sci 29(7):1806–1810
12. Deng JL (1989) Introduction to gray system theory. J Gray Syst 1(1):1–24
13. Deng JL (1993) Grey control system. Huazhong University of Science and Technology Press, Wuhan (in Chinese)
14. Dixon B (2005) Groundwater vulnerability mapping: a GIS and fuzzy rule based integrated tool. Appl Geogr 25(4):327–347
15. EC (2006) of the European parliament and of the council of 12 December 2006 on the protection of groundwater against pollution and deterioration. Off J Eur Union L 372(19):19–31
16. EC (2009) The draft European communities environmental objectives (groundwater) regulations, p 7
17. ECM (1993) Assessment of pesticide contamination of groundwater in New Zealand 1. Ranking of regions forpotential contamination. N Z J Mar Freshw Res 27:257–266
18. EPA (1998) National Water Quality Inventory. Report to Congress, ground water and drinking water Chapters, p 8
19. Fan C, Chen Y, Ma H, Wang G (2010) Comparative study of multimedia models applied to the risk assessment of soil and groundwater contamination sites in Taiwan. J Hazard Mater 182(1–3):778–786
20. Foster SD (1987) Fundamental concepts in aquifer vulnerability, pollution risk and protection strategy. In: van Duijvenbooden W, van Waegeningh HG (eds) In: Proceedings of Vulnerability of soil and groundwater to pollutants, Information The Hague: TNO Committee on Hydrological Research, pp 69–86
21. Gomez-Puentes FJ, Reyes-Lopez JA, Lopez DL, Carreon-Diazconti C, Belmonte-Jimenez S (2014) Geochemical processes controlling the groundwater transport of contaminants released by a dump in an arid region of Mexico. Environ Earth Sci 71(2):609–621
22. Gonzalez-Herrera R, Gomez-Lopez R (2013) Two in one leachate plume in a karstic aquifer. Environ Earth Sci 68(7):1945–1953
23. Gu CH, William JR (2010) Combined effects of short term rainfall patterns and soil texture on soil nitrogen cycling: a modeling analysis. J Contam Hydrol 112:141–154
24. Guler C, Kaplan V, Akbulut C (2013) Spatial distribution patterns and temporal trends of heavy-metal concentrations in a petroleum hydrocarbon-contaminated site: Karaduvar coastal aquifer. Environ Earth Sci 70(2):943–962
25. Hao FH, Sun W, Zeng AY (2008) Simulation of N transfer under different irrigation and fertilization scenarios in the Hetao irrigation area using HYDRUS-1D model. Acta Sci Circumst 28(5):853–858 (in Chinese)
26. Heatwole K, McCray J (2007) Modeling potential vadose-zone transport of nitrogen from onsite wastewater systems at the development scale. J Contam Hydrol 91:184–201
27. Hu HG, Ma D, Guan JH (2011) Grey multiple linear regression on and application in population forcast. 2011 International Conference on Computational Science and Applications, pp 99–103
28. Huan H, Wang J, Teng Y (2012) Assessment and validation of groundwater vulnerability to nitrate based on a modified DRASTIC model: a case study in Jilin City of northeast China. Sci Total Environ 440:14–23
29. Jeannin PY, Grainaton F, Zwahlen F, Perrochet P (2001) VULK: a tool for intrinsic vulnerability assessment and validation. 7th conference on limestone, hydrology and fissured media, Besancon, France, 20–22 Sep, pp 185–190
30. Jl D (1993) Grey control system. Huazhong University of Science and Technology Press, Wuhan (in Chinese)
31. Kogovsek J, Petric M (2013) Increase of vulnerability of karst aquifers due to leakage from landfills. Environ Earth Sci 70(2):901–912
32. Li XM, Zeng GM, Wang M, Liu JJ (2003) Prediction of the amount of urban waste solids by applying a gray theoretical model. J Environ Sci 15(1):43–46 (in Chinese)
33. Li W, He JT, Liu LY, Gao P, Ji YP (2013) Application of Hydrus-1D software in groundwater contamination risk assessment. China Environ Sci (in Chinese) 33(4):639–647
34. Liu G, Yu J (2007) Gray correlation analysis and prediction models of living refuse generation in Shanghai city. Waste Manag 27(2007):345–351
35. Liu ZC, He LS, Dong J, Meng R, Song BY, Xi BD (2012) Risk assessment of groundwater pollution for simple waste landfill (in Chinese). Res Environ Sci 25(7):833–839
36. Lynch SD, Reynders AG, Schulze RE (1997) A DRASTIC approach to groundwater vulnerability in South Africa. S Afr J Sci 93:59–60
37. Machender G, Dhakate R, Rao GT, Loukya G, Reddy MN (2013) Assessment of trace element contamination in soils around Chinnaeru River Basin, Nalgonda District, India. Environ Earth Sci 70(3):1021–1037
38. Massone H, Londoño MQ, Martínez D (2010) Enhanced groundwater vulnerability assessment in geological homogeneous areas: a case study from the Argentine Pampas. Hydrogeol J 18(2):371–379
39. McLay CDA, Dragten R, Sparling G, Selvarajah N (2001) Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches. Environ Pollut 115(2):191–204
40. Metwaly M, Elawadi E, Moustafa SSR, Al Arifi N, El Alfy M, Al Zaharani E, Carreon-Diazconti C, Belmonte-Jimenez S (2014) Groundwater contamination assessment in Al-Quwy’yia area of central Saudi Arabia using transient electromagnetic and 2D electrical resistivity tomography. Environ Earth Sci 71(2):827–835
41. Okogbue CO, Ukpai SN (2013) Evaluation of trace element contents in groundwater in Abakaliki metropolis and around the abandoned mine sites in the southern part, Southeastern Nigeria. Environ Earth Sci 70(7):3351–3362
42. Parchehbaf-Jadid A, A’lizadeh-molayusef R (2011) QSRR Study of the Polychlorinated biphenyl congeners gainst the retention time using the multiple linear regression-genetic algorithms, vol 14. IACSIT Press, Singapore, pp 160–164
43. Pathak DR, Hiratsuka A (2011) An integrated GIS based fuzzy pattern recognition model to compute groundwater vulnerability index for decision making. J Hydro Environ Res 5(1):63–77
44. PRC (1994) The quality standard for ground water of the People’s Republic of China, p 10
45. Rahman A (2008) A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India. Appl Geogr 28(1):32–53
46. Ribeiro L (2005) Development and application of a new index of susceptibility of aquifers to contamination from agricultural sources. In: APRH (ed), 7th symposium of hydraulics and water resources of Portuguese Spoken Countries APRH, Évora
47. Schaap MG, Leij FJ, Van G, Th M (2001) Rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. J Hydrol 251:163–176
48. Simunek JM, Sejna T, van GMT (1998) The HYDRUS-1D software package for simulating the One-dimensional movement Of water, heat, and multip le solutes in variably-saturated media (Version2. 0). Riverside, California: Colorado School of Mines Publishers, pp 125–132
49. Simunek J, van Genuchten MT, Sejna M (2008) Development and applications of the HYDRUS and STANMOD Software Packages and Related Codes. Vadose Zone J 7:587–600. doi:10.2136/vzj2007.0077
50. Sonneveld MPW, Brus DJ, Roelsma J (2010) Validation of regression models for nitrate concentrations in the upper groundwater in sandy soils. Environ Pollut 158(1):92–97
51. Sousa SIV, Martins FG, Alvim-Ferraz MCM, Pereira MC (2007) Multiple linear regression and artificial neural networks based on principal components to predict ozone concentrations. Environ Model Softw 22(1):97–103
52. Stempvoort VD, Evert L, Wassenaar L (1993) Aquifer vulnerability index: a GIS compatible method for groundwater vulnerability mapping. Can Water Resour J 18:25–37
53. Stewart IT, Loague K (2004) Assessing ground water vulnerability with the type transfer function model in the Joaquin Valley, California. J Environ Qual 33:1487–1498
54. Sun F, Shao HB, Wang WQ, Watanabe N, Bilke L, Yang ZS, Huang ZF, Kolditz O (2012) Groundwater deterioration in Nankou-a suburban area of Beijing: data assessment and remediation scenarios. Environ Earth Sci 67(6):1573–1586
55. UN-Water (2011) Policy brief on water quality. In: UN-Water (ed), p 22
56. van Genuchten MTh (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898
57. Vias J, Andreo B, Ravbar N, Hötzl H (2010) Mapping the vulnerability of groundwater to the contamination of four carbonate aquifers in Europe. J Environ Manag 91(7):1500–1510
58. Villa F, McLeod H (2002) Environmental vulnerability indicators for environmental planning and decision-making: guidelines and applications. Environ Manag 29(3):335–348
59. Voigt HJ, Heinkele T, Wolter R (2004) Characterisation of groundwater vulnerability in Germany. In: Proceedings of Groundwater vulnerability assessment and mapping. International conference, Ustron, Poland, p 141
60. Wirthensohn T, Schoeberl P, Ghosh U, Fuchs W (2009) Pilot plant experiences using physical and biological treatment steps for the remediation of groundwater from a former MGP site. J Hazard Mater 163(1):43–52
61. Witkowski AJ, Kowalczk A (2004) A simplified method of regional groundwater vulnerability assessment. Groundwater vulnerability assessment and mapping, international conference, Ustron, Poland, pp 150–151
62. Wu JC (2009) Dynamics of groundwater. China Water and Power Press, pp 22–23 (in Chinese)
63. Xiao XC, Wang XQ, Fu KY, Zhao YJ (2010) Grey Relational Analysis on Factors of the Quality of Web Service. 2010 Third Pacific-Asia Conference, pp 358–360
64. Xie NM, Liu SF (2009) Research on evaluations of several grey relational models adapt to grey relational axioms. J Syst Eng Electron 20(2):304–309
65. Xiong PP, Dang YG, Wu XH, Li XM (2011) Combined model based on optimized multi-variable grey model and multiple linear regression. J Syst Eng Electron 22(4):615–620
66. Yu C, Yao YY, Hayes G, Zhang BX, Zheng CM (2010) Quantitative assessment of groundwater vulnerability using index system and transport simulation, Huangshuihe catchment, China. Sci Total Environ 408(24):6108–6116
67. Zhang J, Ma MT, Wang JP (2008) Narration on regression analysis methods applied in environmental fields. Environ Sci Technol 21(2):41–43
68. Zheng C, Wang PP (1998) MT3DMS documentation and user’s guide. University of Alabama, Alabama