Impact of Land Use and Aquatic Plants on the Water Quality of the Sub-Tropical Alpine Wetlands in India: A Case Study Using Neuro-Genetic Models


The suspended and dissolved waste in the incoming storm water of wetlands largely depends on the adjacent land use which can influence the quality of the water body. The micro- and macro-floral population of a wetland can absorb, convert, transform and release different organic or inorganic elements, which can also change or impact the overall quality of the wetland water. The present study investigates the influence of the land use and the plant species in the waterbed on the water quality of a high-altitude, sub-tropical wetland in India. The estimation capabilities of neuro-genetic models were utilized to identify the inherent relationships between the Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), chlorine (Cl) and Chemical Oxygen Demand (COD) with the land use and wetland zoology. A thematic map of the quality parameters was also generated based on the identified relationship to observe the influence that the morphological and biological diversity in and around the study area has on the quality parameters of the wetland. According to the results, the BOD, COD and Cl were found to vary with differences in land use and the presence of different plant species, whereas the DO was found to be largely invariant with changes in these parameters. The reasons may be contributed to the impact of uncontrolled eco-tourism activities around the wetland.

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Roy, M. , Roy, P. , Mazumdar, A. , Majumder, M. and Samal, N. (2012) Impact of Land Use and Aquatic Plants on the Water Quality of the Sub-Tropical Alpine Wetlands in India: A Case Study Using Neuro-Genetic Models. Journal of Water Resource and Protection, 4, 576-589. doi: 10.4236/jwarp.2012.48067.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] U. C. Panda, S. K. Sundaray, P. Rath, B. B. Nayak and D. Bhatta, “Application of Factor and Cluster Analysis for Characterization of River and Estuarine Water Systems— A Case Study: Mahanadi River (India),” Journal of Hydrology, Vol. 331, No. 3-4, 2006, pp. 434-445.
[2] Q. Zhang, Z. Li, G. Zeng, J. Li, Y. Fang, Q. Yuan, Y. Wang and F. Ye, “Assessment of Surface Water Quality Using Multivariate Statistical Techniques in Red Soil Hilly Region: A Case Study of Xiangjiang Watershed, China,” Environmental Monitoring and Assessment, Vol. 152, No. 1-4, 2009, 2008, pp. 123-131.
[3] X. Zeng and T. C. Rasmussen, “Multivariate Statistical Characterization of Water Quality in Lake Lanier, Georgia, USA,” Journal of Environmental Quality, Vol. 34, No. 6, 2005, pp. 1980-1991.
[4] K. P. Singh, A. Malik and S. Sinha, “Water Quality Assessment and Apportionment of Pollution Sources of Gomti River (India) Using Multivariate Statistical Techniques—A Cases Study,” Analytica Chimica Acta, Vol. 538, No. 1-2, 2005, pp. 355-374.
[5] K. P. Singh, A. Malik, N. Basant and P. Saxena, “Multi- Way Partial Least Squares Modeling of Water Quality Data,” Analytica Chimica Acta, Vol. 584, No. 2, 2007, pp. 385-396.
[6] N. J. Boyer, J. W. Fourqurean and R. D. Jones, “Spatial Characterization of Water Quality in Florida Bay and Whitewater Bay by Multivariate Analyses: Zones of Similar Influence,” Estuaries and Coasts, Vol. 20, No. 4, 1997, pp. 743-758. doi:10.2307/1352248
[7] J. J. Berzas, L. F. Garciaa, R. C. Rodriaguez and P. J. Martian-Alvare, “Evolution of the Water Quality of a Managed Natural Wetland: Tablas Dé Daimiel National Park (Spain),” Pergamon, Vol. 34, No. 12, 2000, pp. 3161-3170.
[8] S. K. Swanson, J. M. Bahr, M. T. Schwar and K. W. Potter, “Two-Way Cluster Analysis of Geochemical Data to Constrain Spring Source Waters,” Chemical Geology, Vol. 179, No. 1-4, 2001, pp. 73-91. doi:10.1016/S0009-2541(01)00316-3
[9] R. Brouwer, S. Georgiou and R. K. Turner, “Integrated Assessment and Sustainable Water and Wetland Manage- ment. A Review of Concepts and Methods,” Integrated Assessment, Vol. 4, No. 3, 2003, pp. 172-184.
[10] H. Boyacioglu and O. Gunduz, “Application of Factor Analysis in the Assessment of Surface Water Quality in Buyuk Menderes River Basin,” European Water, Vol. 9- 10, 2005, pp. 43-49.
[11] H. Boyacioglu, “Water Pollution Sources Assessment by Multivariate Statistical Methods in the Tahtali Basin, Turkey,” Environmental Geology, Vol. 54, No. 2, 2008, pp. 275-282.
[12] F. Zhou, Y. Liu and H. C. Guo, “Application of Multivariate Statistical Methods to the Water Quality Assessment of the Watercourses in the Northwestern New Territories, Hong Kong,” Environmental Monitoring and Assessment, Vol. 132, No. 1-3, 2007, pp. 1-13. doi:10.1007/s10661-006-9497-x
[13] P. Praus, “Urban Water Quality Evaluation Using Multi- variate Analysis,” Acta Montanistica Slovaca, Vol. 12, No. 2, 2007, pp. 150-158.
[14] A. F. M. Al-karkhi, M. A. Hossain and I. Norli, “Application of Cluster Analysis for Water Quality Parameters-Juru Estuary (Malaysia),” International Conference on Envi- ronmental Research and Technology, 2008.
[15] Z. M. Chen, G. Q. Chen, B. Chen, J. B. Zhou, Z. F. Yang and Y. Zhou, “Net Ecosystem Services Value of Wetland: Environmental Economic Account,” Communications in Nonlinear Science and Numerical Simulation, Vol. 14, No. 6, 2009, pp. 2837-2843.
[16] R. K. Turner, “Valuation of Wetlands in a Landscape and Institutional Perspective,” Ecological Economics, Vol. 35, 2000, pp. 1-6.
[17] Y. Ouyang, “Evaluation of River Water Quality Monitor- ing Stations by Principal Component Analysis,” Water Research, Vol. 39, No. 12, 2005, pp. 2621-2635. doi:10.1016/j.watres.2005.04.024
[18] N. E. Detenbeck, C. A. Johnston and G. J. Niemi, “Wetland Effects on Lake Water Quality in the Minneapolis/St. Paul Metropolitan Area, Netherlands,” Landscape Ecology, Vol. 8, No. 1, 1993, pp. 39-61. doi:10.1007/BF00129866
[19] K. G. Wayland, D. T. Long, D. W. Hyndman, B. C. Pijanowski, S. M. Woodhams and S. K. Haack, “Identifying Relationships between Basesflow Geochemistry and Land Use with Synoptic Sampling and R-Mode Factor Analysis,” Journal of Environmental Quality, Vol. 32, No. 1, 2003, pp. 180-190. doi:10.2134/jeq2003.0180
[20] R. J. Johnston, E. Y. Besedin and R. F. Wardwell, “Modeling Relationships between Use and Nonuse Values for Surface Water Quality: A Meta-Analysis,” Water Resources Research, Vol. 39, No. 12, 2003, p. 1363. doi:10.1029/2003WR002649
[21] A. Goonetillekea, E. Thomas, S. Ginn and D. Gilbert, “Understanding the Role of Land Use in Urban Storm Water Quality Management,” Journal of Environmental Management, Vol. 74, No. 1, 2005, pp. 31-42.
[22] P. P. Sehot and J. V. D. Wal, “Human Impact on Regional Groundwater Composition through Intervention in Natural Flow Patterns and Changes in Land Use,” Journal of Hydrology, Vol. 134, No. 1-4, 1992, pp. 297-313.
[23] Q. Wenchuan, M. Dickman and W. Sumin, “Multivariate Analysis of Heavy Metal and Nutrient Concentrations in Sediments of Taihu Lake, China,” Hydrobiologia, Vol. 450, No. 1-3, 2001, pp. 83-89.
[24] M. Jansson, R. Anderson, H. Berggren and L. Leonardson, “Wetlands and Lakes as Nitrogen Traps,” JSTOR: Ambio, Vol. 23, No. 6, 1994, pp. 320-325.
[25] W. J. Mitsh and J. G. Gossolink, “Wetlands,” 2nd Edition, Van Nostrand Reinhold, New York, 1993.
[26] H. Boyacioglu, “Development of Universal Water Quality Index and Environmetric Analysis in Surface Water Quality Assessment with Field Implementation and Validation,” M.Sc. Thesis, Karlsruhe University, Karlsruhe, 2006.
[27] M. V. Croft and P. Chow-Fraser, “Use and Development of the Wetland Macrophyte Index to Detect Water Quality Impairment in Fish Habitat of Great Lakes Coastal Marshes,” Journal of Great Lakes Research, Vol. 33, No. sp3, 2007, pp. 172-197. doi:10.3394/0380-1330(2007)33[172:UADOTW]2.0.CO;2
[28] D. Eckhardt, “Land Use and Water Quality,” 2003.
[29] American Public Health Association (APHA), “Standard Methods for the Examination of Water and Wastewater,” 19th Edition, APHA, Washington, 1995.
[30] Q. Zhang and S. J. Stanley, “Realtime Water Treatment Process Control with Artificial Neural Networks,” Jour- nal of Environmental Engineering, Vol. 125, No. 2, 1999, pp. 153-160. doi:10.1061/(ASCE)0733-9372(1999)125:2(153)
[31] T. R. Neelakantan and N. V. Pundarikanthan, “Neural Network Based Simulation-Optimization Model for Reservoir Operation,” Journal of Water Resource, Planning and Management, Vol. 126, No. 2, 2000, pp. 57-64. doi:10.1061/(ASCE)0733-9496(2000)126:2(57)
[32] C. Ray and K. K. Klindworth, “Neural Networks for Agrichemical Vulnerability Assessment of Rural Private Wells,” Journal of Hydrologic Engineering, Vol. 5, No. 2, 2000, pp. 162-171. doi:10.1061/(ASCE)1084-0699(2000)5:2(162)
[33] K. Hsu, H. V. Gupta and S. Sorooshian, “Artifical Neural Network Modeling of the Rainfall-Runoff Process,” Jour- nal of Water Resource Research, Vol. 31, No. 10, 1995, pp. 2517-2530. doi:10.1029/95WR01955
[34] D. A. Fernando and A. W. Jayawardena, “Runoff Forecasting Using RBF Networks with OLS Algorithm,” Journal of Hydrologic Engineering, Vol. 3, No. 3, 1998, pp. 203-209. doi:10.1061/(ASCE)1084-0699(1998)3:3(203)
[35] A. S. Tokar and P. A. Johnson, “Rainfall-Runoff Modeling Using Artificial Neural Networks,” Journal of Hydrologic Engineering, Vol. 4, No. 3, 1999, pp. 232-239. doi:10.1061/(ASCE)1084-0699(1999)4:3(232)
[36] S. Y. Liong, S. T. Khu and W. T. Chan, “Derivation of Pareto Front with Genetic Algorithm and Neural Network,” Journal of Hydrologic Engineering, Vol. 6, No. 1, 2001, pp. 52-61. doi:10.1061/(ASCE)1084-0699(2001)6:1(52)
[37] T. A. Clair and J. M. Ehrman, “Using Neural Networks to Assess the Influence of Changing Seasonal Climates in Modifying Discharge, Dissolved Organic Carbon, and Nitrogen Export in Eastern Canadian Rivers,” Journal of Water Resources Research, Vol. 34, No. 3, 1998, pp. 447-455. doi:10.1029/97WR03472
[38] C. E. Imrie, S. Durucan and A. Korre, “River Flow Prediction Using Neural Networks: Generalization beyond the Calibration Range,” Journal of Hydrology, Vol. 233, No. 3-4, 2000, pp. 138-153. doi:10.1016/S0022-1694(00)00228-6
[39] M. Majumder, P. K. Roy and A. Mazumdar, “Optimization of the Water Use in the River Damodar in West Bengal in India: An Integrated Multi-Reservoir System with the Help of Artificial Neural Network,” Journal of Engineering, Computing and Architecture, Vol. 1, No. 2, 2007, Article ID: 1398.
[40] M. Majumder, “Watershed Modeling of River Damodar with the Help of Neural Network and Genetic Algorithm,” Ph.D. Thesis, Jadavpur University, Kolkata, 2010.
[41] S. K. Jain, A. Das and D. K. Srivastava, “Application of ANN for Reservoir Inflow Prediction and Operation,” Journal of Water Resource, Planning and Management, Vol. 125, No. 5, 1999, pp. 263-271. doi:10.1061/(ASCE)0733-9496(1999)125:5(263)
[42] P. Coulibaly, F. Anctil and B. Bobee, “Daily Reservoir Inflow Forecasting Using Artificial Neural Networks with Stopped Training Approach,” Journal of Hydrology, Vol. 230, No. 3-4, 2000, pp. 244-257. doi:10.1016/S0022-1694(00)00214-6
[43] H. R. Maier and G. C. Dandy, “Empirical Comparison of Various Methods for Training Feed-Forward Neural Networks for Salinity Forecasting,” Journal of Water Resources Research, Vol. 35, No. 8, 1999, pp. 2591-2596. doi:10.1029/1999WR900150
[44] K. P. Sudheer, “Knowledge Extraction from Trained Neural Network River Flow Models,” Journal of Hydrologic Engineering, Vol. 10, No. 4, 2005, pp. 264-269. doi:10.1061/(ASCE)1084-0699(2005)10:4(264)
[45] ASCE, “Task Committee on Application of Artificial Neu- ral Networks in Hydrology. Artificial Neural Networks in Hydrology I: Preliminary Concepts,” Journal of Hydrologic Engineering, Vol. 5, No. 2, 2000, pp. 115-123.
[46] C. F. Iscen, O. Emiroglu, S. Ilhan, N. Arslan, V. Yilmaz and S. Ahiska, “Application of Multivariate Statistical Techniques in the Assessment of Surface Water Quality in Uluabat Lake, Turk,” Environmental Monitoring and Assessment, Vol. 144, No. 1-3, 2008, pp. 269-276. doi:10.1007/s10661-007-9989-3
[47] J. A. Ahmed and A. K. Sarma, “Genetic Algorithm for Optimal Operating Policy of a Multipurpose Reservoir,” Journal of Water Resources Management, Vol. 19, No. 2, 2005, pp. 145-161. doi:10.1007/s11269-005-2704-7
[48] D. H. Burn and J. S. Yulianti, “Waste-Load Allocation Using Genetic Algorithms,” Journal of Water Resource, Planning and Management, Vol. 127, No. 2, 2001, pp. 121-129. doi:10.1061/(ASCE)0733-9496(2001)127:2(121)
[49] Q. J. Wang, “The Genetic Algorithm and Its Application to Calibrating Conceptual Rainfall-Runoff Models,” Jour- nal of Water Resources Research, Vol. 27, No. 9, 1991, pp. 2467-2471. doi:10.1029/91WR01305
[50] R. Wardlaw and M. Sharif, “Evaluation of Genetic Algorithms for Optimal Reservoir System Operation,” Journal of Water Resources Planning and Management, Vol. 125, No. 1, 1999, pp. 25-33. doi:10.1061/(ASCE)0733-9496(1999)125:1(25)

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