Integrated framework for monitoring groundwater pollution using a geographical information system and multivariate analysis;Cadre intégré pour le suivi de la pollution des eaux souterraines à l'aide d'un système d'information géographique et d'une analyse multivariée

Hydrological Sciences Journal

Volumn 57, Issue 7, 2012, Pages 1453-1472

  Srivastava, Prashant K ^a   Han, Dawei ^a   Gupta, Manika ^b   Mukherjee, Saumitra ^c  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^c JAWAHARLAL NEHRU UNIVERSITY   (India)

Author keywords

geographic information system (GIS); multi criteria evaluation; multivariate analysis; sensitivity analysis

Indexed keywords

AVAILABLE WATER; CONSISTENCY INDEX; CONSISTENCY RATIO; DIGITAL ELEVATION MODEL; DIMENSIONALITY REDUCTION; GEOGRAPHICAL INFORMATION SYSTEM; GEOGRAPHICAL INFORMATION SYSTEMS; GROUND-WATER QUALITIES; HIERARCHICAL LEVEL; INTEGRATED FRAMEWORKS; LANDSAT TM; LATENT STRUCTURES; MULTI VARIATE ANALYSIS; MULTI-CRITERIA EVALUATION; MULTIPLE CONTAMINANTS; MULTIVARIATE ANALYSIS METHODS; NORMALIZATION PROCESS; NORMALIZED DIFFERENCE INDICES; POLLUTION MAPPING; SATELLITE IMAGE DATAS; SHUTTLE RADAR TOPOGRAPHY MISSION; SPATIAL VARIABILITY; WATER QUALITY PARAMETERS; WEIGHT ASSIGNMENT; WORLD HEALTH ORGANIZATION; ZONE MODEL;

CLUSTER ANALYSIS; GROUNDWATER; IMPURITIES; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY ANALYSIS; TRACKING RADAR; WATER POLLUTION; WATER QUALITY;

GEOGRAPHIC INFORMATION SYSTEMS;

CLUSTER ANALYSIS; GIS; GROUNDWATER POLLUTION; INTEGRATED APPROACH; LANDSAT THEMATIC MAPPER; MULTICRITERIA ANALYSIS; MULTIVARIATE ANALYSIS; NDVI; PARAMETERIZATION; POLLUTION MONITORING; PRINCIPAL COMPONENT ANALYSIS; SCANNING ELECTRON MICROSCOPY; SENSITIVITY ANALYSIS; SHUTTLE RADAR TOPOGRAPHY MISSION; SPATIAL VARIATION; WORLD HEALTH ORGANIZATION;

CITRUS MAXIMA;

EID: 84867241719     PISSN: 02626667     EISSN: 21503435     Source Type: Journal    
DOI: 10.1080/02626667.2012.716156     Document Type: Article

References (68)

1. Alkarkhi, A.F.M. 2009. Analysis of heavy metal concentrations in sediments of selected estuaries of Malaysia-a statistical assessment. Environmental Monitoring Assessment, 153: 179-185.
2. Alvin, C.R. 2002. Methods of multivariate analysis, Hoboken, NJ: Wiley Inc.
3. APHA. 1998. Standard methods for the examination of water and wastewater, 20th, Washington, DC: American Public Health Association.
4. Babiker, I.S., Mohamed, A.A. and Hiyama, T. 2007. Assessing groundwater quality using GIS. Water Resource Management, 21: 699-715.
5. Carver, S.J. 1991. Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information Science, 5: 321-339.
6. Causaras. 1987. Geology of the surficial aquifer system, Dade County, FL: US Geological Survey Water-Resources Investigations. Report 86-4-126
7. Chang, K.T. 2006. Introduction to geographic information systems, 3rd, 325-327. New Delhi: Tata McGraw Hill.
8. Chatterjee, R., Tarafder, G. and Paul, S. 2009. Groundwater quality assessment of Dhanbad district, Jharkhand, India. Bulletin of Engineering Geology and the Environment, 69: 137-141.
9. Chen, K., Blong, R. and Jacobson, C. 2001. MCE-RISK: integrating multicriteria evaluation and GIS for risk decision-making in natural hazards. Environmental Modeling and Software, 16: 387-397.
10. Dickinson, R. 1995. Land processes in climate models. Remote Sensing of Environment, 51: 27-38.
11. Duda, A.M. 1993. Addressing non-point sources of water pollution must become an international priority. Water Science Technology, 28: 1-11.
12. Eastman, J.R. and Fulk, M. 1993. Long sequence time series evaluation using standardized principle components. Photogrammetric Engineering and Remote Sensing, 59: 991-996.
13. FAO (Food and Agriculture Organization). 2005. Fertilizer use by crops in India, Rome: United Nations Food and Agriculture Organization.
14. Gujarat Ecology Commission, 1992. Forest & Environment Department, Government of Gujarat, India http://www.gec.gov.in/gecweb/home.asp (http://www.gec.gov.in/gecweb/home.asp) (Accessed: 10 October 2011).
15. Gupta, M. and Srivastava, P.K. 2010. Integrating GIS and remote sensing for identification of groundwater potential zones in the hilly terrain of Pavagarh, Gujarat, India. Water International, 35: 233-245.
16. Helena, B. 2000. Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis. Water Research, 34: 807-816.
17. Jaiswal, R.K., Saxena, R. and Mukherjee, S. 1999. Application of remote sensing technology for land use/land cover change analysis. Journal of Indian Society of Remote Sensing, 27: 124-128.
18. Jaiswal, R.K., Saxena, R. and Mukherjee, S. 2001. Land use/land cover mapping using IRS 1C LISS III false colour composite: a case study of a part of Shahdol district, Madhya Pradesh. Journal of Tropical Forestry, 17: 33-40.
19. Jaiswal, R.K. 2003. Role of Remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development-an approach. International Journal of Remote Sensing, 24: 993-1008.
20. Jankowski, P. 1995. Integrating geographical information systems and multiple criteria decision-making methods. International Journal of Geographical Information Systems, 9: 251-273.
21. Johnson, R.A. and Wichern, D.W. 2002. Applied multivariate statistical analysis, London: Prentice-Hall.
22. Kim, J.H. 2005. Multivariate statistical analysis to identify the major factors governing groundwater quality in the coastal area of Kimje, South Korea. Hydrological Processes, 19: 1261-1276.
23. Kowalkowski, T. 2006. Application of chemometrics in river water classification. Water Research, 40: 744-752.
24. Lee, J.-Y. 2001. Statistical evaluation of geochemical parameter distribution in a groundwater system contaminated with petroleum hydrocarbons. Journal of Environmental Quality, 30: 1548-1563.
25. Lillesand, T.M. and Kiefer, R.W. 1979. Remote sensing and image interpretation, New York: Wiley.
26. Liu, C.-W., Lin, K.-H. and Kuo, Y.-M. 2003. Application of factor analysis in the assessment of groundwater quality in black foot disease in Taiwan. The Science of the Total Environment, 313: 77-89.
27. Massoud, M.A. 2006. Factors influencing development of management strategies for the Abou Ali River in Lebanon: I. Spatial variation and land use. The Science of the Total Environment, 362: 15-30.
28. Melloul, A. and Collin, M. 1994. Water quality factor identification by the "Principal Components" statistical method. Water Science Technology, 34: 41-50.
29. Milovanovic, M. 2007. Water quality assessment and determination of pollution sources along the Axios/Vardar River, Southeastern Europe. Desalination, 213: 159-173.
30. Moore, L.W. 1988. Agricultural runoff modeling in a small west Tennessee watershed. Journal of the Water Pollution Control Federation, 60: 242-249.
31. Morris, M.D. 1991. Factorial sampling plans for preliminary computational experiments. Technometrics, 33: 161-174.
32. Mukherjee, S. 1991. Ground water appraisal report, Hamirpur district, Uttar Pradesh, 4-9. Lucknow, Uttar Pradesh, India: Remote Sensing Applications Centre (UPRSAC). unpublished technical report no. RSAC, GED91: 02
33. Mukherjee, S. 2007. Integrated water resource management using remote sensing and geophysical techniques: Aravali quartzite, Delhi, India. Journal of Environmental Hydrology, 15 Paper 10
34. Mukherjee, S. 2009. Effect of canal on land use/land cover using remote sensing and GIS. Journal of the Indian Society of Remote Sensing, 37: 527-537.
35. Noori, R. 2010. Multivariate statistical analysis of surface water quality based on correlations and variations in the data set. Desalination, 260: 129-136.
36. Ouyang, Y. 2005. Evaluation of river water quality monitoring stations by principal component analysis. Water Research, 39: 2621-2635.
37. Praharaj, T. 2002. Delineation of groundwater contamination around an ash pond Geochemical and GIS approach. Environment International, 27: 631-638.
38. Primpas, I. 2010. Principal component analysis: Development of a multivariate index for assessing eutrophication according to the European water framework directive. Ecological Indicators, 10: 178-183.
39. Ramanathan, R. 2001. A note on the use of the analytic hierarchy process for environmental impact assessment. Journal of Environmental Management, 63: 27-35.
40. Reghunath, R., Murthy, T.R.S. and Raghavan, B.R. 2002. The utility of multivariate statistical techniques in hydrogeochemical studies: an example from Karnataka, India. Water Research, 36: 2437-2442.
41. Rushton, K.R. and Rao, S.V.R. 1988. Groundwater flow through a Miliolite limestone aquifer. Hydrological Sciences Journal, 33(5): 449-464.
42. Saaty, T.L. 1980. The analytical hierarchy process, New York: McGraw Hill.
43. Shaban, M. 2010. Detection and mapping of water pollution variation in the Nile Delta using multivariate clustering and GIS techniques. Journal of Environmental Management, 91: 1785-1793.
44. Sharma, M.L. 1996. "Impact of agriculture on nutrient contamination of water resources". In Water quality hydrology, Edited by: Singh, V.P. and Kumar, B. 57-79. Dordrecht, The Netherlands: Kluwer Academic.
45. Shrestha, S. and Kazama, F. 2007. Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan. Environmental Modelling and Software, 22: 464-475.
46. Simeonov, V., Simeonova, P. and Tsitouridou, R. 2004. Chemometric quality assessment of surface waters: two case studies. Chemical and Engineering Ecology, 11: 449-469.
47. Simeonov, V. 2003. Assessment of the surface water quality in northern Greece. Water Research, 37: 4119-4124.
48. Singh, K.P. 2004. Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)-a case study. Water Research, 38: 3980-3992.
49. Singh, K.P., Malik, A. and Singh, V.K. 2005a. Chemometric analysis of hydro-chemical data of an alluvial river-a case study. Water, Air and Soil Pollution, 170: 383-404.
50. Singh, K.P., Malik, A. and Sinha, S. 2005b. Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques-a case study. Analytical Chimica Acta, 538: 355-374.
51. Srivastava, P.K., Mukherjee, S. and Gupta, M. Groundwater quality assessment and its relation to landuse/landcover using remote sensing and GIS. Groundwater use-efficiency and sustainability: Groundwater and drinking water issues, Proceeding of International groundwater conference. March2008, Jaipur, India. pp.19-22.
52. Srivastava, P.K., Mukherjee, S. and Gupta, M. 2010. Impact of urbanization on land use/land cover change using remote sensing and GIS: a case study. International Journal of Ecological Economics and Statistics, 18: 106-117.
53. Srivastava, P.K. 2011a. Characterizing monsoonal variation on water quality index of River Mahi in India using Geographical Information System. Water Quality Exposure and Health, 2(3-4): 193-203. doi:10.1007/s12403-011-0038-7
54. Srivastava, P.K., Mukherjee, S. and Gupta, M. 2011b. Mapping spatial distribution of pollutants in groundwater of a tropical area of India using remote sensing and GIS. Applied Geomatics, doi:10.1007/s12518-011-0072-y
55. Srivastava, P.K. 2012a. Selection of classification techniques for land use/land cover change investigation. Advances in Space Research, doi:http://dx.doi.org/10.1016/j.asr.2012.06.032
56. Srivastava, P.K. 2012b. A study on distribution of heavy metal contamination in the vegetables using GIS and analytical technique. International Journal of Ecology and Development, 20: 89-99.
57. Thakur, J.K. and Singh, S.K. 2010. Eco-hydrological monitoring of wetlands in a semi-arid region using remote sensing, GIS, GPS and various data sets: a case study of Konya closed basin, Turkey. Groundwater quality sustainability, XXXVIII IAH Congress. September12-172010, Krakow, Poland.
58. Thakur, J.K. 2011a. Arsenic contamination of groundwater in Nepal-an overview. Water, 3: 1-20.
59. Thakur, J.K. Long-term groundwater monitoring optimization: improving performance and reducing costs associated for a 3D regionalization of groundwater contamination-a case study of Bitterfeld/Wolfen, East Germany. International Conference on Sustainable Water Resource Management and Treatment Technology, Water-2011. January19-212011, Nagpur, India. NEERI.
60. Thakur, J.K. 2012. Ecological monitoring of wetlands in semi-arid region of Konya closed Basin, Turkey. Regional Environmental Change, 12(1): 133-144.
61. Tudesque, L. 2008. Long-term changes in water physicochemistry in the Adour-Garonne hydrographic network during the last three decades. Water Research, 42: 732-742.
62. Vadrevu, K.P., Eaturu, A. and Badarinath, K.V.S. 2010. Fire risk evaluation using multicriteria analysis-a case study. Environmental Monitoring and Assessment, 166(1-4): 223-239. doi:10.1007/s10661-009-0997-3
63. Vega, M. 1998. Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water Research, 32: 3581-3592.
64. WHO (World Health Organization). 2004. "Guidelines for drinking-water quality". In Recommendations, 3rd, Vol. 1, 145-220. Geneva, Switzerland: WHO.
65. Wunderlin, D.A. 2001. Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquia river basin (Cordoba, Argentina). Water Research, 35: 2881-2894.
66. Xu, K. and Milliman, J.D. 2009. Seasonal variations of sediment discharge from the Yangtze River before and after impoundment of the Three Gorges Dam. Geomorphology, 104: 276-283.
67. Yin, K.D. 2002. Monsoonal influence on seasonal variations in nutrients and phytoplankton biomass in coastal waters of Hong Kong in the vicinity of the Pearl River estuary. Marine Ecology Progress Series, 245: 111-122.
68. Zhu, Y.M., Lu, X.X. and Zhou, Y. 2008. Sediment flux sensitivity to climate change: a case study in the Longchuanjiang catchment of the upper Yangtze River, China. Global and Planetary Change, 60: 429-442.