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Hydrological modeling and simulation of water balance components using the SWAT model in the coal mining province of the Mahan River catchment, Central India

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Abstract

The research was employed to simulate the watershed's hydrologic behavior and to predict stream flow in the Mahan River catchment area alongside the effect of six underground (UG) and opencast (OC) mines for the past decades. Following the SWAT model run, the mining area sub-watersheds possess (SW20, SW26, SW28, SW31 and SW38) a comparatively lesser sediment yield of 61.41 Metric Ton/ha than that of non-mining area sub-watersheds 159.40 Metric Ton/ha. Amongst all hydrological components, evapotranspiration with 531.2 mm consumed 39% of the total annual precipitation (1365.3 mm). The total discharge was estimated to be 775.57 mm, which comprises Surface Runoff of about 351.89 mm, Return Flow (402.21 mm) and Lateral flow (21.47 mm), while percolation into the unconfined and confined aquifers as soil and groundwater storage also accounted for 58.86 mm. The statistical indicators and graphs indicate that the model performs satisfactorily for the daily streamflow (R2 = 0.875, p = 0.71, r = 0.76 and NSE = 0.87 during the validation (R2 = 0.817) as that during the calibration period. The model performed satisfactorily during the simulation and the results showed that the mines play a critical role in changing the hydrological regime of the watershed with low recharge and moderate evapotranspiration characteristics. Taken together, the SWAT model appears to be a reliable tool for forecasting stream discharge over long periods of time, in parallel with the likely impacts of mining activity on HRUs.

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References

  • Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R (2007) Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2–4):413–430. https://doi.org/10.1016/j.jhydrol.2006.09.014

    Article  Google Scholar 

  • Abbaspour KC, Rouholahnejad E, Vaghefi SR, Srinivasan R, Yang H, Kløve B (2015) A continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model. J Hydrol 524:733–752. https://doi.org/10.1016/j.jhydrol.2015.03.027

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour Assoc 34(1):73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x

    Article  CAS  Google Scholar 

  • Chen J, Adams BJ (2006) Integration of artificial neural networks with conceptual models in rainfall-runoff modeling. J Hydrol 318(1–4):232–249. https://doi.org/10.1016/j.jhydrol.2005.06.017

    Article  Google Scholar 

  • Dvoracek J, Slivka V, Sterba J (2004). Problems connected with the underground mines closed. Proceedings of the 5th ISMMST Xuzhou T&F. https://doi.org/10.1201/978020302252 8.ch124.

  • Food and Agriculture Organisation (2002). Digital Soil Map of the World and Derived Soil Properties. Land and Water Digital Media Series #1 rev 1, Rome.

  • Galván L, Olías M, Fernández de Villarán JM, Domingo Santos JM, Nieto JM, Sarmiento AM, Cánovas CR (2009) Application of the SWAT model to an AMD-affected river (Meca River, SW Spain). Estimation of transported pollutan load. J Hydrol 377:445–454. https://doi.org/10.1016/j.jhydrol.2009.09.002

    Article  CAS  Google Scholar 

  • Gassman PW, Reyes MR, Green CH, Arnold JG (2007). The soil and water assessment tool: historical development, applications, and future research directions. Trans. ASABE. 50(4): 1211–1250. https://doi.org/10.13031/2013.23637.

  • Kausher R, Singh R, Sinha AK, Sethy SN, Kumar S, Pandey S, Ragab AE, Mohamed A (2023) Assessing Impacts of Mining-Induced Land Use Changes on Groundwater and Surface Water Quality Using Isotopic and Hydrogeochemical Signatures. Sustainability 15(14):11041

    Article  CAS  Google Scholar 

  • Kuma HG, Feyessa FF, Demissie TA (2023) Assessing the impacts of land use/land cover changes on hydrological processes in Southern Ethiopia: The SWAT model approach. Cogent Eng 10(1):2199508

    Article  Google Scholar 

  • Kumar N, Tiwari MK, Singh R, Singh AK (2022) Chemometrics in Ascertaining Hydrogeochemical Characteristics of Coal Mine Discharge vis-à-vis Behaviour of Surface and Groundwater Resources of the Mahan River Catchment Area. Central India Mine Water Environ 41(2):518–532. https://doi.org/10.1007/s10230-022-00854-x

    Article  ADS  CAS  Google Scholar 

  • Kumar P, Joshi V (2019). A Geospatial-Statistical Approach To Alienate Priority Area of Upper Watershed of River Subarnarekha Using Morphometric Assessment Framework. Malaysian J Geosci. 3(1): 21–31. https://doi.org/10.26480/mjg.01.2019.21.31.

  • Kumar S, Venkatesh AS, Singh R, Udaybhanu G, Saha D (2018). Geochemical signatures and isotopic systematics constraining dynamics of fuoride contamination in groundwater across Jamui District, Indo-Gangetic alluvial plains, India. Chemosphere. https://doi.org/10.1016/j.chemosphere.2018.04.116.

  • Legates DR, McCabe GJ Jr (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241. https://doi.org/10.1029/1998WR900018

    Article  ADS  Google Scholar 

  • Li Q, Zhang H, Chen JI, Li W, Liu X, Jones P (2009) A mainland China homogenized historical temperature dataset of 1951–2004. Bull Am Meteor Soc 90(8):1062–1065

    Article  ADS  Google Scholar 

  • Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harme, RD, Veith TL (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans. ASABE. 50(3): 885–900. https://doi.org/10.13031/2013.23153.

  • Santhi C, Arnold JG, Williams JR, Duga WA, Srinivasan R, Hauck LM (2001) Validation of the swat model on a large rwer basin with point and nonpoint sources. J Am Water Resour Assoc 37(5):1169–1188. https://doi.org/10.1111/j.1752-1688.2001.tb03630.x

    Article  CAS  Google Scholar 

  • Schmalz B, Fohrer N (2009) Comparing model sensitivities of different landscapes using the ecohydrological SWAT model. Adv Geosci 2:91–98. https://doi.org/10.5194/adgeo-21-91-2009

    Article  Google Scholar 

  • Singh R, Venkatesh AS, Syed TH, Surinaidu L, Pasupuleti S, Rai SP, Kumar M (2018) Stable isotope systematics and geochemical signatures constraining groundwater hydraulics in the mining environment of the KorbaCoalfeld. Central India Environ Earth Sci 77:1–17. https://doi.org/10.1007/s12665-018-7725-7

    Article  CAS  Google Scholar 

  • Singh R, Gayen A, Kumar S, Dewangan R (2021a) Geospatial distribution of arsenic contamination of groundwater resources in intricate crystalline aquifer system of Central India: arsenic toxicity manifestation and health risk assessment. Hum Ecol Risk Assess 27(6):1588–1612. https://doi.org/10.1080/108070391865787

    Article  CAS  Google Scholar 

  • Singh R, Narayan ID, Doley T, Kumar N, Bandyopadhyay D, Kisku DK (2021b) Climate-resilient groundwater rationing in the mining environment: an operational framework from India. Environ Earth Sci 80(2):449. https://doi.org/10.1007/s12665-021-09732-1

    Article  ADS  Google Scholar 

  • Van Roosmalen L, Sonnenborg TO, Jensen KH (2009). Impact of climate and land use change on the hydrology of a large-scale agricultural catchment. Water Resour. Res. 45(7): W00A15. doi:https://doi.org/10.1029/2007WR006760.

  • Wagh VM, Panaskar DB, Jacobs JA, Mukate SV, Muley AA, Kadam AK (2019) Infuence of hydro-geochemical processes on ground water quality through geostatistical techniques in Kadava River basin, western India. Arab J Geosci 12:7. https://doi.org/10.1007/s12517-018-4136-8

    Article  CAS  Google Scholar 

  • Wan R, Liu D, Munroe DK, Cai S (2013) Modelling potential hydrological impact of abandoned underground mines in the Monday Creek Watershed. Ohio Hydrol Processes 27(25):3607–3616

    Article  ADS  Google Scholar 

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Acknowledgements

The authors wish to acknowledge the support of Birla Institute of Technology, Mesra, Ranchi for providing the facilities required to publish this paper. The views expressed in this paper are those of the authors and do not represent the opinions of their respective organizations.

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by RK, Dr. AKS and Dr. RS. The first draft of the manuscript was written by Rukaiya Kausher and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Rambabu Singh.

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Kausher, R., Singh, R. & Sinha, A.K. Hydrological modeling and simulation of water balance components using the SWAT model in the coal mining province of the Mahan River catchment, Central India. Environ Earth Sci 83, 185 (2024). https://doi.org/10.1007/s12665-024-11472-x

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