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Effects of Land Use Dynamics on Hydrological Response of Watershed: a Case Study of Chittar Watershed, Vamanapuram River Basin, Thiruvananthapuram District, Kerala, India

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Abstract

Watersheds in the tropical regions of India are vulnerable to the effects of land use/land cover (LULC) change, transpiration and evaporation on groundwater resources. Understanding these changes is important to delineate the impacts on the hydrological cycle and thus helps to strengthen the efficiency of the water management system. A significant change in LULC and evapotranspiration has been observed in the Chittar watershed over the years. The present study involves the assessment of LULC changes during 1967–2001 and 2001–2015. The MODIS MOD 16 A3 data products were used to study evapotranspiration during the period. The groundwater level data of Central Ground Water Board (CGWB) have been used to study the water level changes from 2001 to 2015. The results of the LULC changes indicate that the natural vegetation is decreased significantly from 1967 to 2015. The aerial coverage of natural vegetation was 54% in 1967 which was reduced to 49% in 2001 and 30% in 2015. The most significant land use category is eucalyptus plantation which is decreased from 1967 (12 km2) to 2001 (9 km2). After the year 2011, eucalyptus plantations are converted into acacia plantations. The average annual evapotranspiration of the study area is 917 mm/year during the years 2001 to 2015. The overall evapotranspiration showed a decreasing trend with marked interannual fluctuations. Coming to the groundwater, the upstream of the study area exhibited shallow groundwater level (6.5 to < 6 m below ground level) while the other parts exhibited comparatively deeper groundwater level (> 7.5). From 2001 to 2009, the groundwater level was significantly fluctuated; however, the fluctuation was minimal after 2009. To conclude, the study revealed that the LULC changes in the Chittar watershed have a pivotal role in the observed changes in evapotranspiration. The results reiterated that the changes in evapotranspiration (ET) have a strong bearing on the groundwater potential of the area.

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References

  1. Dwarakish GS, Ganasri BP (2015) Impact of land use change on hydrological systems: a review of current modeling approaches. Cogent Geosci 1:1115691

    Article  Google Scholar 

  2. Roushangar K, Alizadeh F, Adamowski J (2018) Exploring the effects of climatic variables on monthly precipitation variation using a continuous wavelet-based multiscale entropy approach. Environ Res 165:176–192

    Article  CAS  Google Scholar 

  3. Scanlon BR, Reedy RC, Stonestrom DA, Prudic DE, Dennehy KF (2005) Impact of land use and land cover change on groundwater recharge and quality in the southwestern US. Glob Chang Biol 11:1577–1593

    Article  Google Scholar 

  4. Balugani E, Lubczynski MW, Reyes-Acosta L, van der Tol C, Francés AP, Metselaar K (2017) Groundwater and unsaturated zone evaporation and transpiration in a semi-arid open woodland. J Hydrol 547:54–66

    Article  Google Scholar 

  5. Jordan G, Goenster-Jordan S, Lamparter G-J, Ulziisuren B, Soninkishig N, Schlecht E, Buerkert A (2018) Water use in agro-pastoral livelihood systems within the Bulgan River watershed of the Altay Mountains, Western Mongolia. Agric Ecosyst Environ 251:180–193

    Article  Google Scholar 

  6. McColl C, Aggett G (2007) Land-use forecasting and hydrologic model integration for improved land-use decision support. J Environ Manag 84:494–512

    Article  Google Scholar 

  7. Farajzadeh J, Alizadeh F (2017) A hybrid linear–nonlinear approach to predict the monthly rainfall over the Urmia Lake watershed using wavelet-SARIMAX-LSSVM conjugated model. J Hydroinformatics jh2017013

  8. Yang X, Ren L, Singh VP, Liu X, Yuan F, Jiang S, Yong B (2012) Impacts of land use and land cover changes on evapotranspiration and runoff at Shalamulun River watershed, China. Hydrol Res 43:23–37

    Article  Google Scholar 

  9. Fohrer N, Haverkamp S, Eckhardt K, Frede H-G (2001) Hydrologic response to land use changes on the catchment scale. Phys Chem Earth, Part B Hydrol Ocean Atmos 26:577–582

    Article  Google Scholar 

  10. Li G, Zhang F, Jing Y et al (2017) Response of evapotranspiration to changes in land use and land cover and climate in China during 2001–2013. Sci Total Environ 596:256–265

    Article  CAS  Google Scholar 

  11. Soylu ME, Lenters JD, Istanbulluoglu E, Loheide SP (2012) On evapotranspiration and shallow groundwater fluctuations: a Fourier-based improvement to the White method. Water Resour Res 48

  12. Zhao W, Li A, Deng W (2013) Time series evapotranspiration estimation based on MODIS/Terra satellite data over South Asia. In: Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International IEEE, pp 473–476

  13. Stumpf F, Keller A, Schmidt K, Mayr A, Gubler A, Schaepman M (2018) Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems. Agric Ecosyst Environ 258:129–142

    Article  Google Scholar 

  14. Cooper DJ, Sanderson JS, Stannard DI, Groeneveld DP (2006) Effects of long-term water table drawdown on evapotranspiration and vegetation in an arid region phreatophyte community. J Hydrol 325:21–34

    Article  Google Scholar 

  15. Martinet MC, Vivoni ER, Cleverly JR, Thibault JR, Schuetz JF, Dahm CN (2009) On groundwater fluctuations, evapotranspiration, and understory removal in riparian corridors. Water Resour Res 45

  16. Carlson Mazur ML, Wiley MJ, Wilcox DA (2014) Estimating evapotranspiration and groundwater flow from water-table fluctuations for a general wetland scenario. Ecohydrology 7:378–390

    Article  Google Scholar 

  17. Awotwi A, Yeboah F, Kumi M (2015) Assessing the impact of land cover changes on water balance components of White Volta basin in West Africa. Water Environ J 29:259–267

    Article  Google Scholar 

  18. Elmahdy SI, Mohamed MM (2016) Land use/land cover change impact on groundwater quantity and quality: a case study of Ajman Emirate, the United Arab Emirates, using remote sensing and GIS. Arab J Geosci 9:722

    Article  CAS  Google Scholar 

  19. Lloyd BJ, Dennison PE (2018) Evaluating the response of conventional and water harvesting farms to environmental variables using remote sensing. Agric Ecosyst Environ 262:11–17

    Article  Google Scholar 

  20. Kiptala JK, Mohamed Y, Mul ML, Zaag P (2013) Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in eastern Africa. Water Resour Res 49:8495–8510

    Article  Google Scholar 

  21. Miranda RdeQ, Galvíncio JD, de Moura MSB, et al (2017) Reliability of MODIS evapotranspiration products for heterogeneous dry forest: a study case of Caatinga. Adv Meteorol

  22. Welde K, Gebremariam B (2017) Effect of land use land cover dynamics on hydrological response of watershed: case study of Tekeze Dam watershed, northern Ethiopia. Int Soil Water Conserv Res 5:1–16

    Article  Google Scholar 

  23. Shah N, Nachabe M, Ross M (2007) Extinction depth and evapotranspiration from ground water under selected land covers. Groundwater 45:329–338

    Article  CAS  Google Scholar 

  24. Cao G, Han D, Song X (2014) Evaluating actual evapotranspiration and impacts of groundwater storage change in the North China Plain. Hydrol Process 28:1797–1808

    Article  Google Scholar 

  25. Shahid S, Nath SK, Roy J (2000) Groundwater potential modelling in a soft rock area using a GIS. Int J Remote Sens 21:1919–1924

    Article  Google Scholar 

  26. Gyamfi C, Ndambuki JM, Salim RW (2016) Hydrological responses to land use/cover changes in the Olifants Basin, South Africa. Water 8:588

    Article  Google Scholar 

  27. Cleugh HA, Leuning R, Mu Q, Running SW (2007) Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sens Environ 106:285–304

    Article  Google Scholar 

  28. Guida-Johnson B, Zuleta GA (2013) Land-use land-cover change and ecosystem loss in the Espinal ecoregion, Argentina. Agric Ecosyst Environ 181:31–40

    Article  Google Scholar 

  29. Sorenson SK, Dileanis PD, Branson FA (1991) Soil water and vegetation responses to precipitation and changes in depth to ground water in Owens Valley, California. In: USGPO; for sale by the books and open-file reports section

  30. Scott RL, Shuttleworth WJ, Goodrich DC, Maddock T III (2000) The water use of two dominant vegetation communities in a semiarid riparian ecosystem. Agric For Meteorol 105:241–256

    Article  Google Scholar 

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Acknowledgementse

The authors thank Dr. N. Purnachandra Rao, Director, National Centre for Earth Science Studies (NCESS), for the encouragement and Dr. D. Padmalal, Scientist G and Group Head, Hydrological Processes Group, for the continuous support and also critically reading the manuscript. We thank the reviewers for their comments and suggestions.

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Correspondence to P. Arulbalaji.

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Arulbalaji, P., Maya, K. Effects of Land Use Dynamics on Hydrological Response of Watershed: a Case Study of Chittar Watershed, Vamanapuram River Basin, Thiruvananthapuram District, Kerala, India. Water Conserv Sci Eng 4, 33–41 (2019). https://doi.org/10.1007/s41101-019-00066-5

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