Climate change impacts on water flux dynamics in Shingoda basin having agriculture and forest ecosystems: A comprehensive analysis

Authors

  • P.H. RANK Department of Irrigation and Drainage Engineering, Junagadh Agricultural University, Junagadh, Gujarat, India
  • D.R. VAGHASIYA Agrometeorology Cell, Department of Agronomy, Junagadh Agricultural University, Junagadh, Gujarat, India
  • M.M. LUNAGARIA Department of Agricultural Meteorology, Anand Agricultural University, Anand, , Gujarat, India
  • R.J. PATEL Department of Soil and Water Conservation Engineering, Junagadh Agricultural University, Junagadh, Gujarat, India
  • M.K. TIWARI Department of Soil and Water Conservation Engineering, Anand Agricultural University, Anand, Gujarat, India
  • H.D. RANK Department of Soil and Water Conservation Engineering, Junagadh Agricultural University, Junagadh, Gujarat, India

DOI:

https://doi.org/10.54386/jam.v25i3.2284

Keywords:

RCM, SWAT, Simulation, Climate Change, Water Flux, Evapotranspiration

Abstract

An assessment of climate chnage and its impacts on water fluxes in the Shingoda basin of the Saurashtra region having 14% agriculture and 75% forest  were made through analysis of  time series (1951-2100)  of  bias corrected maximum/minimum temperature and rainfall (RCP4.5), rreference evapotranspiration (ETo), evapotranspiration (ETc) and runoff.  Results showed significant climate changes in the basin, with day mean temperature rising from 24.4°C in the second half of the 20th century to 26.5°C and 27.9°C in the first and second half of the 21st century, respectively. During the first and second half of the 21st century, seasonal rainfall increased by 23.0% and 46.33%, and runoff rose by 46.78% and 86.40% compared to the second half of the 20th century. However, annual reference evapotranspiration (ETo) decreased by -1.41% and -6.5%, and crop evapotranspiration (ETc) decreased by -3.2% and -9.8% in the same periods. The analysis also revealed a deficit of -16.10% in downward water flux (rainfall) in the first half of the 20th century, followed by a surplus of 8.46% and 28.37% compared to the upward flux (ETc) in subsequent periods. The upward water flux deficit during 2nd half of 20th century were supported by evidence of depleted groundwater levels and seawater intrusion in the study area.

References

Anonymous (2017). Report of National Initiatives on Climate Resilient Agriculture (NICRA), ICAR-Indian Institute of Water Management, Bhubaneswar.

Balu, A., Ramasamy, S. and Sankar, G., (2023). Assessment of climate change impact on hydrological components of Ponnaiyar river basin, Tamil Nadu using CMIP6 models. J. Water and Clim. Chang., 14 (3): 730-747.

Chattopadhyay, N. and Hulme, M. (2023). Evaporation and potential evaporation in India under conditions of recent and future climate change, Agric. For Meteoro., 87: 55-73.

Corbari, C., Ravazzani, G., Galvagno, M., Cremonese, E. and Mancini, M. (2017). Assessing Crop Coefficients for Natural Vegetated Areas Using Satellite Data and Eddy Covariance Stations. Sensors (Basel)., 17 (11): 2664. doi: 10.3390/s17112664.

Gontia, N.K. and Tiwari, K.N. (2010). Estimation of Crop Coefficient and Evapotranspiration of Wheat (Triticum aestivum) in an Irrigation Command Using Remote Sensing and GIS. Water Resour. Manage., 24: 1399–1414.

Kendall, M. and Gibbons, J. D. (1990). Rank Correlation Methods. 5th Eds. Oxford University Press, NY). pp: 272.

Lunagaria, M.M., Dabhi, H.P. and Pandey, V. (2015). Trends in the temperature and rainfall extremes during recent past in Gujarat. J. Agrometeorol., 17 (1): 118-23. DOI: https://doi.org/10.54386/jam.v17i1.986.

Mehta, R. and Pandey, V. (2016). Crop water requirement (ETc) of different crops of middle Gujarat. J. Agrometeorol., 18 (1): 83–87. DOI: https://doi.org/10.54386/jam.v18i1.906.

Neitsch, S.L., Arnold, J.G., Kiniry, J.R. and Williams, J.R. (2005) Soil and Water Assessment Tool Theoretical Documentation. 494.

NOAA (2023). State of the Climate: Global Climate Report for 2022. National Centers for Environmental Information. Accessed January 18, 2023, from https://www.ncei.noaa.gov/access/monitoring/monthly-report/global/202213.

Pandey, V. (2023). Climate variability, trends, projections and their impact on different crops: A case study of Gujarat, India. J. Agrometeorol., 25 (2): 224-38. https://doi.org/10.54386/jam.v25i2.2151

Rajabi, M., Jalalkamali, N. and Naghizadeh, N. (2022). Climate change impact on the estimation of reference evapotranspiration, water requirement, and irrigation requirement in irrigated areas (a case study: Bardsir plain). J. Water and Clim. Chang., 13 (4): 1951–1965. DOI: https://doi.org/10.2166/wcc.2022.404

Rank, H.D. (2008). Crop coefficient at various moisture stresses for different growth periods of cotton. Hydro. J., 31 (3-4): 15-22.

Rank, P.H., Vekariya, P.B. and Rank, H.D. (2020). Climate change impact on hydrologic system in Aji River Basin. Res. Biotica., 2 (2): 30-39.

Rank, P.H. and Vishnu, B. (2021). Pulse drip irrigation: A review. J. Pharmacognosy and Phytochemistry., 10 (1): 125-130.

Rank, P.H. and Satasiya, R.M. (2022). Sweet corn crop (Zea mays L.) performance under various irrigation water management strategies. J. Pharm. Innov., 11 (6): 1525-1531.

Rank, P.H., Satasiya, R.M., Vekariya, P.B., Limbasiya, B.B., Sardhara, V.K., Patel, R.J., Pandya P.A. and Mashru H.H. (2022). Simulating the Water Footprints of Sweet Corn (Zea Mays L.) Under Various Irrigation Water Management Strategies Using AquCrop Model. Int. J. Modern. Engg. Tech. Sci., 04 (08): 1572-1581.

Rank, P.H. and Vishnu, B., (2023). Validation of Models for Simulating the Soil Moisture Characteristics. Agric. Sci. Dig., 43 (2); 157-163.

Rank, P.H., Satasiya, R.M., Limbasiya, B.B., Parmar, H.V. and Prajapati, G.V. (2023). Sweet corn crop yield response to aerated drip irrigation under various irrigation water management strategies, Emer. Life. Sci. Res., 9 (1): 10-21. DOI: https://doi.org/10.31783/elsr.2023.911021

Roderick, M.L. and Farquhar, G.D. (2004). Changes in Australian pan evaporation from 1970 to 2002. Int. J. Climatol., 24: 1077-90.

Teutschbein, C. and Seibert, J. (2013). Is bias correction of regional climate model (RCM) simulations possible for non-stationary conditions? Hydrol. Earth Syst. Sci., 17: 5061–5077. DOI: https://doi.org/10.5194/hess-17-5061-2013.

Yazawa, T. and Shoji, A. (2023). Spatial analysis of historical extreme rainfall characteristics using regionalization in the Lake Biwa and Yodo River Basin, Japan. J. Water Clim. Chang., DOI: 10.2166/wcc.2023.465.

Downloads

Published

31-08-2023

How to Cite

RANK, P., VAGHASIYA, D., LUNAGARIA, M., PATEL, R., TIWARI, M., & RANK, H. (2023). Climate change impacts on water flux dynamics in Shingoda basin having agriculture and forest ecosystems: A comprehensive analysis. Journal of Agrometeorology, 25(3), 397–403. https://doi.org/10.54386/jam.v25i3.2284