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In-situ Observation and Nitrate-N Load Assessment in Madhubani District, Bihar, India

  • Research Article
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Journal of the Geological Society of India

Abstract

Fertilizers may leach through the vadose zone and eventually reach groundwater in agriculturally intensive areas. Thus, the main focus of this study was to investigate Nitrate-N load and vulnerability of groundwater resources using in-situ observed hydrogeological data. Soil water flow and contaminant transport equation was numerically simulated using HYDRUS 1D for constant head and atmospheric top boundary conditions. Subsurface materials were distributed based on the lithologs of the target area. Observed water table locations were considered as bottom boundary condition to respective numerical domain. The time taken by Nitrate-N to reach groundwater table was considered to estimate vulnerability index. The results show that Nitrate-N load is higher in constant head boundary conditions than atmospheric boundary conditions. The eastern part of the study area shows high vulnerability than northern part followed by western part. In-situ observed nitrate concentrations were well matched with simulated results. The high vulnerability in eastern and northern part is due to alluvial sandy lithologs and very shallow groundwater table. These findings are in line with the observed low water table depths, less runoff, and higher hydraulic conductivity of the vadose zone material in these area. In western part, forest cover dominated land use causes low pollution vulnerabilities to groundwater resources. This study may help to frame agricultural and soil-water conservation practices with more sustainable remedial techniques.

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References

  • CGWB (2018) Groundwater data access: Available at https://doi.org/www.cgwb.gov.in/GW-data-access.html. (accessed in 05–2.Feb 2018).

    Google Scholar 

  • CGWB (2013) Groundwater information booklet of Madhubani District, Bihar. Available at https://doi.org/www.cgwb.gov.in/District_Profile/Bihar/Madhubani.pdf (accessed in Jan-March, 2018).

    Google Scholar 

  • Gupta, P.K. and Yadav, B.K. (2017) Nonaqueous Phase Liquids (NAPLs)-Polluted Soil-Water Resources. Environmental Pollutants and Their Bioremediation Approaches, USA. CRC Press, Taylor and Francis Group, Florida.

    Google Scholar 

  • Gupta, P.K., Abhishek, Yadav, B.K. (2018) Impact of Hydrocarbon Pollutants on Partially Saturated Soil Media in Batch System: Morphological Analysis Using SEM Techniques. In: Water Quality Management, Springer, Singapore, pp.131–139.

    Google Scholar 

  • Gupta, P.K., Ranjan, S., Kumar, D. (2018) Groundwater pollution by emerging industrial pollutants and its remediation techniques” Chapter 2 in book Recent Advances in Environmental Management, CRC Press Taylor & Francis Group, Vol 1. (Ed. Dr. R.N. Bhargava), 530p.

    Google Scholar 

  • Harter, T., Ginn, T.R., Onsoy, Y.S. and Horwath, W.R. (2005) Spatial variability and transport of nitrate in a deep alluvial vadose zone. Vadose Zone Jour., v.4(2), pp.443–454.

    Article  Google Scholar 

  • Harter, T., Onsoy, Y. S., Heeren, K., Denton, M., Weissmann, G., Hopmans, J. W., Horwath, W. R. (2005) Deep vadose zone hydrology demonstrates fate of nitrate in eastern San Joaquin Valley. California Agriculture, v.59(2), pp.124–132.

    Article  Google Scholar 

  • India-WRIS WebGIS portal (2018). Available at https://doi.org/www.indiawris.nrsc.gov.in/GWL/GWL.html?UType=R2VuZXJhbA==?UName (accessed in 05–2. Feb 2018).

  • Jahangeer, Gupta, P.K., and Yadav, B.K. (2017). Transient Water Flow and Nitrate Movement Simulation in Partially Saturated Zone. Jour. Irrigation and Drainage Engg., v.143(12), pp.04017048:1-8.

    Article  Google Scholar 

  • Kumar, D., Adamowski, J., Suresh, R., and Ozga-Zielinski, B. (2016) Estimating evapotranspiration using an extreme learning machine model: case study in north Bihar, India. Jour. Irrigation and Drainage Engg., v.142(9), 04016032.

    Google Scholar 

  • Kumar, G.P., Shashi, R., and Yadav, B.K. (2013) BTEX Biodegradation in Soil-Water System Having Different Substrate Concentrations. Internat. Jour. Engg., v.2(12), pp.1765–1772.

    Google Scholar 

  • Mustapha, H.I., Gupta, P.K., Yadav, B.K., van Bruggen, J.J.A. and Lens, P.N.L. (2018) Performance evaluation of duplex constructed wetlands for the treatment of diesel contaminated wastewater. Chemosphere, v.205, pp.166–177.

    Article  Google Scholar 

  • Mualem, Y. (1976) A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resource Res., v.12(3), pp.513–522.

    Article  Google Scholar 

  • Ranjan S., Gupta P.K., Yadav B.K. (2018) “Application of Nano-materials in Subsurface Remediation Techniques–Challenges and Future Prospects”. Chapter 6, In Recent Advances in Environmental Management, CRC Press Taylor & Francis Group, ISBN 9780815383147, Vol 1. (Ed. Dr. R.N. Bhargava)

    Google Scholar 

  • Russo, D., and A. Fiori (2009) Stochastic analysis of transport in a combined heterogeneous vadose zone–groundwater flow system Water Resources Res., v.45(3), pp.1–16.

    Google Scholar 

  • Simunek, J., Jarvis, N.J., Van Genuchten, M.Th., Gardenas, A. (2003) Review and comparison of models for describing non-equilibrium and preferential flow and transport in the vadose zone. Jour. Hydrol., v.272, pp.14–35.

    Article  Google Scholar 

  • Simunek, J., Sejna, M. and van Genuchten, M. Th. (1998) The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably-saturated me-dia, Version 2.0.” IGWMC-TPS-70.

    Google Scholar 

  • Int. Ground Water Modeling Center, Colorado School of Mines, Golden, CO. SLUSI (2018) Inventory of Soil Resource of Madhubani District, Bihar State using Remote Sensing and GIS Technique. Soil and land use survey of India. Available at http://slusi.dacnet.nic.in/srmabstracts/SRM_87_ Madhubani.pdf, (accessed in Jan-March, 2018).

    Google Scholar 

  • Stenger, R., Priesack, E. and Beese, F. (2002) Spatial variation of nitrate-N and related soil properties at the plot scale. Geoderma, v.105, pp.259–275.

    Article  Google Scholar 

  • USGS (2018) https://doi.org/www.earthexplorer.com (accessed in 11 January 2018).

  • Van Genuchten, M.T. (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci. Soc. Amer. Jour., v.44(5), pp.892–898.

    Article  Google Scholar 

  • Yadav, B.K. and Junaid, S.M. (2013) Groundwater vulnerability assessment to contamination using soil moisture flow and solute transport modeling. Jour. Irrigation and Drainage Engg., v.141(7), 04014077.

    Google Scholar 

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Correspondence to Pankaj Kumar Gupta.

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Kumari, B., Gupta, P.K. & Kumar, D. In-situ Observation and Nitrate-N Load Assessment in Madhubani District, Bihar, India. J Geol Soc India 93, 113–118 (2019). https://doi.org/10.1007/s12594-019-1130-z

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  • DOI: https://doi.org/10.1007/s12594-019-1130-z

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