Study of water sample of Kharera River to indicates a healthy, neutral baseline that falls within the permissible limits for chemical analysis of natural surface water
DOI:
https://doi.org/10.64882/ijrt.v14.i3.1708Keywords:
Pure water, Kharera River, Regional disparity, Agricultural development and Navsari district.Abstract
To provide pure water to civilians in Gujrat, India's is the primary goal of the present research. Agricultural planners, social workers, and officials carrying out development projects can learn from the study. The intention is to make recommendations in order to properly construct a plan for agricultural development and opportunities in the area under consideration. The current study's research aims have been maintained in light of Kharera River. In India as a whole, it is currently getting harder to keep up traditional core business in a timely and balanced manner. In actuality, agriculture is a business that is affected by the environment that based on water. However, the Bilimora, Navsari district in Gujrat, India, has seen more pollution and impacts from human activity than any other business. The regional disparity in agricultural growth has been evaluated within the framework of Bilimora, Navsari district in Gujrat, taking into account geographical factors. This study emphasizes the significance of sustainable land management practices in the Bilimora, Navsari district in Gujrat, in order to address regional disparities and investigate prospects for agricultural development.
References
Aston, R. J. (1973). Tubificids and water quality: a review. Environmental Pollution (1970), 5(1), 1-10. https://doi.org/10.1016/0013-9327(73)90050-5
Bhateria, R., Jain, D. Water quality assessment of lake water: a review. Sustain. Water Resour. Manag. 2, 161–173 (2016). https://doi.org/10.1007/s40899-015-0014-7
Dinius, S. H. (1987). Design of an index of water quality 1. JAWRA Journal of the American Water Resources Association, 23(5), 833-843. https://doi.org/10.1111/j.1752-1688.1987.tb02959.x
Alam, M.J.B., Islam, M.R., Muyen, Z. et al. Water quality parameters along rivers. Int. J. Environ. Sci. Technol. 4, 159–167 (2007). https://doi.org/10.1007/BF03325974
Kothari, V., Vij, S., Sharma, S., & Gupta, N. (2021). Correlation of various water quality parameters and water quality index of districts of Uttarakhand. Environmental and Sustainability Indicators, 9, 100093. https://doi.org/10.1016/j.indic.2020.100093
Maier, H. R., & Dandy, G. C. (1996). The use of artificial neural networks for the prediction of water quality parameters. Water resources research, 32(4), 1013-1022. https://doi.org/10.1029/96WR03529
Diamantopoulou, M.J., Papamichail, D.M. & Antonopoulos, V.Z. The use of a Neural Network technique for the prediction of water quality parameters. Oper Res Int J 5, 115–125 (2005). https://doi.org/10.1007/BF02944165
Hall, J., Zaffiro, A. D., Marx, R. B., Kefauver, P. C., Krishnan, E. R., Haught, R. C., & Herrmann, J. G. (2007). On–Line water quality parameters as indicators of distribution system contamination. Journal‐American Water Works Association, 99(1), 66-77. https://doi.org/10.1002/j.1551-8833.2007.tb07847.x
Verma, A.K., Singh, T.N. Prediction of water quality from simple field parameters. Environ Earth Sci 69, 821–829 (2013). https://doi.org/10.1007/s12665-012-1967-6
Nõges, T. Relationships between morphometry, geographic location and water quality parameters of European lakes. Hydrobiologia 633, 33–43 (2009). https://doi.org/10.1007/s10750-009-9874-x
Arain, M. B., Ullah, I., Niaz, A., Shah, N., Shah, A., Hussain, Z., ... & Kazi, T. G. (2014). Evaluation of water quality parameters in drinking water of district Bannu, Pakistan: Multivariate study. Sustainability of Water Quality and Ecology, 3, 114-123. https://doi.org/10.1016/j.swaqe.2014.12.005
Abdelmalik, K. W. (2018). Role of statistical remote sensing for Inland water quality parameters prediction. The Egyptian Journal of Remote Sensing and Space Science, 21(2), 193-200. https://doi.org/10.1016/j.ejrs.2016.12.002
Dey, S., Botta, S., Kallam, R., Angadala, R., & Andugala, J. (2021). Seasonal variation in water quality parameters of Gudlavalleru Engineering College Pond. Current Research in Green and Sustainable Chemistry, 4, 100058. https://doi.org/10.1016/j.crgsc.2021.100058
Tabari, H., Marofi, S. & Ahmadi, M.(2011), Long-term variations of water quality parameters in the Maroon River, Iran. Environ Monit Assess 177, 273–287. https://doi.org/10.1007/s10661-010-1633-y
Sattari, M. T., Joudi, A. R., & Kusiak, A. (2016). Estimation of water quality parameters with data‐driven model. Journal‐American Water Works Association, 108(4), E232-E239. https://doi.org/10.5942/jawwa.2016.108.0012
Parmar, K. S., & Bhardwaj, R. (2013). Wavelet and statistical analysis of river water quality parameters. Applied Mathematics and Computation, 219(20), 10172-10182. https://doi.org/10.1016/j.amc.2013.03.109
Baban, S. M. (1993). Detecting water quality parameters in the Norfolk Broads, UK, using Landsat imagery. International Journal of Remote Sensing, 14(7), 1247-1267. https://doi.org/10.1080/01431169308953955
Lee, J., Lee, S., Yu, S. et al. Relationships between water quality parameters in rivers and lakes: BOD5, COD, NBOPs, and TOC. Environ Monit Assess 188, 252 (2016). https://doi.org/10.1007/s10661-016-5251-1
Dezfooli, D., Hosseini-Moghari, SM., Ebrahimi, K. et al. Classification of water quality status based on minimum quality parameters: application of machine learning techniques. Model. Earth Syst. Environ. 4, 311–324 (2018). https://doi.org/10.1007/s40808-017-0406-9
Zare Abyaneh, H. Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters. J Environ Health Sci Engineer 12, 40 (2014). https://doi.org/10.1186/2052-336X-12-40
Yadav, V. K., Yadav, S. M., & Kachhawa, N. S. (2022). Evaluation and calibration of bedload equation for the mountain ephemeral stream of Gujarat, India. Current Science (00113891), 123(12). 10.18520/cs/v123/i12/1499-1507
Mehta, D.J., Yadav, S.M. (2020). Hydrodynamic Simulation of River Ambica for Riverbed Assessment: A Case Study of Navsari Region. In: AlKhaddar, R., Singh, R., Dutta, S., Kumari, M. (eds) Advances in Water Resources Engineering and Management. Lecture Notes in Civil Engineering, vol 39. Springer, Singapore. https://doi.org/10.1007/978-981-13-8181-2_10
Guruji, A., Agnihotri, P. (2019). Land Use Land Cover Analysis of Khapri Watershed in Dang District Using Remote Sensing (RS) and Geographical Information System (GIS). In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2018. Advances in Intelligent Systems and Computing, vol 866. Springer, Cham. https://doi.org/10.1007/978-3-030-00979-3_47
Balaji, R., Satheeshkumar, J. (2021). Numerical Modeling of Flooding and Salinity Intrusion Along River Ambica, Gujarat. In: Sundar, V., Sannasiraj, S.A., Sriram, V., Nowbuth, M.D. (eds) Proceedings of the Fifth International Conference in Ocean Engineering (ICOE2019). Lecture Notes in Civil Engineering, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-15-8506-7_17
Patel, Z. B., & Yadav, S. M. (2023). Analysis of changes in extreme rainfall characteristics over Ambica river basin, India. ISH Journal of Hydraulic Engineering, 29(4), 569–579. https://doi.org/10.1080/09715010.2022.2098681
Mehta, D.J., Eslamian, S. & Prajapati, K. Flood modelling for a data-scare semi-arid region using 1-D hydrodynamic model: a case study of Navsari Region. Model. Earth Syst. Environ. 8, 2675–2685 (2022). https://doi.org/10.1007/s40808-021-01259-5
Pathan, A.I., Agnihotri, P.G. & Patel, D. Integrated approach of AHP and TOPSIS (MCDM) techniques with GIS for dam site suitability mapping: a case study of Navsari City, Gujarat, India. Environ Earth Sci 81, 443 (2022). https://doi.org/10.1007/s12665-022-10568-6
Bhavsar, P. S., Mishal, S. S., Devre, P. V., Lad, V. K., Sawat, A. H., Yadav, S. R., & Gore, A. H. (2025). Evaluating the impact of urbanization and pollution on drinking water quality in Southern Gujarat: A study of physical, chemical, and microbial contaminants. Cleaner Water, 100168.https://doi.org/10.1016/j.clwat.2025.100168
Pathan, A.I., Girish Agnihotri, P., Said, S. et al. AHP and TOPSIS based flood risk assessment- a case study of the Navsari City, Gujarat, India. Environ Monit Assess 194, 509 (2022). https://doi.org/10.1007/s10661-022-10111-x
Khatri, N., Tyagi, S. & Rawtani, D. Rural environment study for water from different sources in cluster of villages in Mehsana district of Gujarat. Environ Monit Assess 190, 10 (2018). https://doi.org/10.1007/s10661-017-6382-8
Lal M. Innovative study for enhanced performance of the photogalvanic cells for solar energy conversion and storage. Environ Prog Sustainable Energy. 2025;44(5):https://doi.org/10.1002/ep.70031
Lal M, Gangotri KM. Innovative study in renewable energy source through mixed surfactant system for eco-friendly environment. Environ Sci Pollut Res.,2023;30(44): 98805–98813, https://doi.org/10.1007/s11356-023-28246-w
Patel, D., Pamidimukkala, P., Chakraborty, D., & Yadav, A. (2022). Bharuch District, Gujarat, India: factor analysis and geographical distribution of water quality characteristics. Environmental Nanotechnology, Monitoring & Management, 18, 100732.https://doi.org/10.1016/j.enmm.2022.100732
Gaur, S. (2018). An Updated Review on Quantitative and Qualitative Analysis of Water Pollution in West Flowing Tapi River of Gujarat, India. In: Singh, V., Yadav, S., Yadava, R. (eds) Environmental Pollution. Water Science and Technology Library, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-10-5792-2_42
Mishra, A., & Bhatt, V. (2008). Physico‐Chemical and Microbiological Analysis of Under Ground Water in VV Nagar and Nearby Places of Anand District, Gujarat, India. Journal of Chemistry, 5(3), 487-492. https://doi.org/10.1155/2008/671978
Shah, M. C., Shilpkar, P. G., & Acharya, P. B. (2008). Ground water quality of Gandhinagar taluka, Gujarat, India. Journal of Chemistry, 5(3), 435-446. https://doi.org/10.1155/2008/481694
Downloads
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




