Spatial autocorrelation analysis of chinese inter-provincial industrial chemical oxygen demand discharge

International Journal of Environmental Research and Public Health

Volumn 9, Issue 6, 2012, Pages 2031-2044

  Zhao, Xiaofeng ^a   Huang, Xianjin ^a   Liu, Yibo ^a  

^a NANJING UNIVERSITY   (China)

Author keywords

Industrial COD discharge; Moran's I; Spatial autocorrelation; Spatial pattern

Indexed keywords

AUTOCORRELATION; CHEMICAL OXYGEN DEMAND; ENVIRONMENTAL LEGISLATION; ENVIRONMENTAL PROTECTION; INDUSTRIAL EMISSION; SPATIAL ANALYSIS;

ARTICLE; CHEMICAL ENVIRONMENT; CHEMICAL OXYGEN DEMAND; CHINESE; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; GEOGRAPHIC DISTRIBUTION; INDUSTRIALIZATION; POLLUTION MONITORING; POLLUTION TRANSPORT; SPATIAL AUTOCORRELATION ANALYSIS; WASTE WATER MANAGEMENT; WATER POLLUTION CONTROL; WATER POLLUTION INDICATOR;

CHINA;

EID: 84863211067     PISSN: None     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph9062031     Document Type: Article

References (36)

1. Chai, C.; Yu, Z.M.; Song, X.X.; Shen, Z.L. Exploratory data analysis to the study of eutrophication in the Yangtze River estuary. China Environ. Sci. 2007, 28, 53-58.
2. Zhu, J.R.; Wang, J.H.; Shen, H.T. Wu, H. Observation and analysis the diluted water and red tide in the sea off the Yangtze River mouth in middle and late June 2003. Chin. Sci. Bull. 2005, 50, 240-247.
3. Tang, Z.P.; Liu, W.D.; Liu, Z.G.; Wang, P. Regional difference and convergence of standardized discharge of industrial waste water in China. Geogr. Res. 2011, 30, 1101-1109.
4. Da Silva, A.M.E.V.; Da Silva, R.J.N.B.; Camoes, M.F.G.F.C. Optimization of the determination of chemical oxygen demand in wastewaters. Anal. Chim. Acta 2011, 699, 161-169.
5. Jiang, R.; Chai, X.S.; Zhang, C.; Tang, H.L. A dual-wavelength spectroscopic method for the low chemical oxygen demand determination. Spectrosc. Spect. Anal. 2011, 31, 2007-2010.
6. Pasztor, I.; Thury, P.; Pulai, J. Chemical oxygen demand fractions of municipal wastewater for modeling of wastewater treatment. Int. J. Environ. Sci. Tech. 2009, 6, 51-56.
7. Qu, X.; Tian, M.; Chen, S.; Liao, B.Q.; Chen, A.C. Determination of chemical oxygen demand based on novel photoelectro-bifunctional electrodes. Electroanalysis 2011, 23, 1267-1275.
8. Wu, G.Q.; Bi, W.H.; LV, J.M.; Fu, G.W. Determination of chemical oxygen demand in water using near infrared transmission and UV absorbance method. Spectrosc. Spect. Anal. 2011, 31, 1486-1489.
9. Cristina, I.C.S.; Christian, F.; João, L.M.S.; José, L.F.C.L. Quantum dots assisted photocatalysis for the chemiluminometric determination of chemical oxygen demand using a single interface flow system. Anal. Chim. Acta 2011, 699, 193-197.
10. Hu, S.W.; Yang, F.L.; Sun, C.; Zhang, J.Y.; Wang, T.H. Simultaneous removal of COD and nitrogen using a novel carbon-membrane aerated biofilm reactor. J. Environ. Sci. China 2008, 20, 142-148.
11. Nachiappan, S.; Muthukumar, K. Intensification of textile effluent chemical oxygen demand reduction by innovative hybrid methods. Chem. Eng. J. 2010, 163, 344-354.
12. Wang, B.; Chang, X.; Ma, H.Z. Electrochemical oxidation of refractory organics in the coking wastewater and chemical oxygen demand (COD) removal under extremely mild conditions. Ind. Eng. Chem. Res. 2008, 47, 8478-8483.
13. Chen, J.; Xie, P.; Ma, Z.M.; Niu, Y.; Tao, M.; Deng, X.W.; Wang, Q. A systematic study on spatial and seasonal patterns of eight taste and odor compounds with relation to various biotic and abiotic parameters in Gonghu Bay of Lake Taihu, China. Sci. Total Environ. 2010, 409, 314-325.
14. Yin, Y.; Zhang, Y.L.; Liu, X.H.; Zhu, G.W.; Qin, B.Q.; Shi, Z.Q.; Feng, L.Q. Temporal and spatial variations of chemical oxygen demand in Lake Taihu, China, from 2005-2009. Hydrobiologia 2011, 665, 129-141.
15. Zhang, Y.L.; Yang, L.Y.; Qin, B.Q.; Gao, G.; Luo, L.C.; Zhu, G.W.; Liu, M.L. Spatial distribution of COD and the correlations with other parameters in the northern region of Lake Taihu. Environ. Sci. 2008, 29, 1457-1462.
16. Saarinen, T.; Vuori, K.M.; Alasaarela, E.; Kløve, B. Long-term trends and variation of acidity, CODMn and colour in coastal rivers of Western Finland in relation to climate and hydrology. Sci. Total Environ. 2010, 208, 5019-5027.
17. Mandal, P.; Upadhyay, R.; Hasan, A. Seasonal and spatial variation of Yanuma River water quality in Delhi, India. Environ. Monit Assess. 2010, 170, 661-670.
18. Maane-Messai, S.; Laignel, B.; Motelay-Massei, A.; Madani, K.; Chibane, M. Spatial and temporal variability of water quality of an urbanized river in Algeria: The case of Soummam Wadi. Water Environ. Res. 2010, 82, 742-749.
19. Wang, Y.P.; Xia, H.; Fu, J.M.; Sheng, G.Y. Water quality change in reservoirs of Shenzhen, China: Detection using LANDSAT/TM data. Sci. Total Environ. 2004, 328, 195-206.
20. Yan, Y. Zhang, Y.J.; Fan, B. Estimation and spatial analysis of water pollution loads from towns in China. Int. J. Sust. Dev. World Ecol. 2011, 18, 219-225.
21. Zhao, N.; Liu, Y.; Chen, J.N. Regional industrial production's spatial distribution and water pollution control: A plant-level aggregation method for the case of a small region in China. Sci. Total Environ. 2009, 407, 4946-4953.
22. Jumars, P.A. Spatial autocorrelation with RUM (Remote Underwater Manipulator): Vertical and horizontal structure of a bathyal benthic community. Deep Sea Res. 1978, 25, 589-604.
23. Glick, B. The spatial autocorrelation of cancer mortality. Soc. Sci. Med. D Med. Geogr. 1979, 13, 123-130.
24. Kelejian, H.H.; Robinson, D.P. Spatial autocorrelation: A new computationally simple test with an application to per capita county police expenditures. Reg. Sci. Urban Econ. 1992, 22, 317-331.
25. Beaulieu, P.; Lowell, K. Spatial autocorrelation among forest stands identified from the interpretation of aerial photographs. Landsc. Urban Plan. 1994, 29, 161-169.
26. Sokal, R.R.; Oden, N.L.; Thomson, B.A. Local spatial autocorrelation in biological variables. Biol. J. Linn. Soc. 1998, 65, 41-62.
27. Reys, J.; Montouri, B.D. US regional income convergence: A spatial econometric perspective. Reg. Stud. 1999, 33, 143-156.
28. Overmars, K.P.; Koning, G.H.J.; Veldkamp, A. Spatial autocorrelation in multi-scale land use models. Ecol. Model. 2003, 164, 257-270.
29. Anselin, L. Space and applied econometrics: Introduction. Reg. Sci. Urban Econ. 1992, 22, 307-316.
30. Anselin, L. Discrete Space Autoregressive Models; Oxford University Press: Oxford, UK, 1993.
31. Smirnov, O.; Anselin, L. Fast maximum likelihood estimation of very large spatial autoregressive models: A characteristic polymial approach. Comput. Stat. Data Anal. 2001, 35, 301-309.
32. Anselin, L.; Bera, A.; Florax, R.J; Yoon, M. Simple diagnostic tests for spatial dependence. Reg. Sci. Urban Econ. 1996, 26, 77-104.
33. Anselin, L. Local indicators of spatial association: LISA. Geogr. Anal. 1995, 27, 93-115.
34. Anselin, L. Exploring spatial Data with GeoDaTM: A Workbook. 2005. Available online: http://www.csiss.org/ (accessed on 15 May 2012).
35. Center for Spatially Integrated Social Science. GeoDa 0.9.5i. Available online: http://www.csiss.org/clearinghouse/GeoDa/ (accessed on 15 May 2012).
36. Zhao, X.F.; Huang, X.J.; Zhang, X.Y.; Zhu, D.M.; Lai, L.; Zhong, T.Y. Application of spatial autocorrelation analysis to the COD, SO2 and TSP emission in Jiangsu Province. Environ. Sci. 2009, 30, 1580-1587.