Abstract
In this study, the impacts of land use/land cover (LULC) and climate change on the streamflow and sediment yield were investigated for the Payaswani River Basin, Western Ghats, India. The LULC was determined using Landsat images, and climate data were procured from five general circulation models for representative concentration pathway (RCP) 4.5 (moderate emission) and 8.5 (high emission). The land change modeler was used to derive the future LULC and its changes from 1988 (historical) to 2030 (future) by using the transition matrix method. The SWAT model was used to assess the impacts of LULC and climate change for the streamflow and sediment yield. The results showed that decrease in forests and grasslands and increase in plantation, agricultural, and urban areas from 1988 to 2030 would lead to an increase in the mean streamflow (11.23%) and sediment yield (17.41%). Under RCP 4.5, climate change would decrease the streamflow by 2.38% in 2030. However, under RCP 8.5, climate change would increase the streamflow by 0.12% in 2030. The sediment yield under RCP 4.5 and 8.5 would increase by 1.23% and 3.33%, respectively. In comparison with the baseline condition, by 2030 future changes in the LULC and climate would increase the streamflow by 7.05% and 11.71% under RCP 4.5 and 8.5, respectively. The sediment yield would increase by 7.92% and 27.11% under RCP 4.5 and 8.5, respectively. The streamflow and sediment yield were predicted to increase in the summer and winter but decrease in the monsoon season.
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References
Abbaspour, K. C. (2007). User manual for SWAT-CUP, SWAT calibration and uncertainty analysis programs. Duebendorf: Swiss Federal Institute of Aquatic Science and Technology, Eawag https://swat.tamu.edu/media/114860/usermanual_swatcup.pdf. Accessed 13 Dec 2018.
Abbaspour, K. C., Faramarzi, M., Ghasemi, S. S., & Yang, H. (2009). Assessing the impact of climate change on water resources in Iran. Water Resources Research, 45(10), 1–16. https://doi.org/10.1029/2008WR007615.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment part I: model development. Journal of the American Water Resources Association, 34(1), 73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x.
Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., et al. (2012). SWAT: model use, calibration, and validation. Transactions of the ASABE, 55(4), 1491–1508. https://doi.org/10.13031/2013.42256.
Bisantino, T., Bingner, R., Chouaib, W., Gentile, F., & Trisorio Liuzzi, G. (2015). Estimation of runoff, peak discharge and sediment load at the event scale in a medium-size Mediterranean watershed using the AnnAGNPS model. Land Degradation & Development, 26(4), 340–355. https://doi.org/10.1002/ldr.2534.
Bussi, G., Dadson, S. J., Prudhomme, C., & Whitehead, P. G. (2016). Modelling the future impacts of climate and land-use change on suspended sediment transport in the River Thames (UK). Journal of Hydrology, 542, 357–372. https://doi.org/10.1016/j.jhydrol.2016.09.010.
Cai, T., Li, Q., Yu, M., Lu, G., Cheng, L., & Wei, X. (2012). Investigation into the impacts of land-use change on sediment yield characteristics in the upper Huaihe River basin, China. Physics and Chemistry of the Earth, Parts A/B/C, 53, 1–9. https://doi.org/10.1016/j.pce.2011.08.023.
CEPF. (2007). Ecosystem Profile for the Western Ghats. http://cepf.net/Documents/final.westernghatssrilanka_ westernghats.ep.pdf. Accessed 16 Mar 2018
Chawla, I., & Mujumdar, P. P. (2015). Isolating the impacts of land use and climate change on streamflow. Hydrology and Earth System Sciences, 19(8), 3633–3651. https://doi.org/10.5194/hess-19-3633-2015.
Dinka, M. O., & Klik, A. (2019). Effect of land use–land cover change on the regimes of surface runoff—the case of Lake Basaka catchment (Ethiopia). Environmental Monitoring and Assessment, 191(5), 278. https://doi.org/10.1007/s10661-019-7439-7.
Farjad, B., Gupta, A., Razavi, S., Faramarzi, M., & Marceau, D. (2017). An integrated modelling system to predict hydrological processes under climate and land-use/cover change scenarios. Water, 9(10), 767. https://doi.org/10.3390/w9100767.
Franczyk, J., & Chang, H. (2009). The effects of climate change and urbanization on the runoff of the Rock Creek basin in the Portland metropolitan area, Oregon, USA. Hydrological Processes, 23(6), 805–815. https://doi.org/10.1002/hyp.7176.
Gao, P., Wang, Y., Li, P., Zhao, G., Sun, W., & Mu, X. (2018). Land degradation changes in the Yellow River Delta and its response to the streamflow-sediment fluxes since 1976. Land Degradation & Development, 29(9), 3212–3220. https://doi.org/10.1002/ldr.3049.
Gebremicael, T. G., Mohamed, Y. A., Betrie, G. D., van der Zaag, P., & Teferi, E. (2013). Trend analysis of runoff and sediment fluxes in the Upper Blue Nile basin: a combined analysis of statistical tests, physically-based models and landuse maps. Journal of Hydrology, 482, 57–68. https://doi.org/10.1016/j.jhydrol.2012.12.023.
IPCC. (2013). The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. In T. F. Stocker, D. Qqin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, & P. M. Midgley (Eds.), (p. 1535). Cambridge and New York: Cambridge University Press. https://doi.org/10.1017/CBO9781107415324.
Islam, S. A., Bari, M. A., & Anwar, A. H. M. F. (2014). Hydrologic impact of climate change on Murray–Hotham catchment of Western Australia: a projection of rainfall–runoff for future water resources planning. Hydrology and Earth System Sciences, 18(9), 3591–3614. https://doi.org/10.5194/hess-18-3591-2014.
Jensen, J. R. (1996). Introductory digital image processing: a remote sensing perspective (2nd ed.). Prentice-Hall Inc. https://www.cabdirect.org/cabdirect/abstract/20001911540.
Jiongxin, X. (2003). Sediment flux to the sea as influenced by changing human activities and precipitation: example of the Yellow River, China. Environmental Management, 31(3), 0328–0341. https://doi.org/10.1007/s00267-002-2828-y.
Khoi, D. N., & Suetsugi, T. (2014). Impact of climate and land-use changes on hydrological processes and sediment yield—a case study of the Be River catchment, Vietnam. Hydrological Sciences Journal, 59(5), 1095–1108. https://doi.org/10.1080/02626667.2013.819433.
Kim, J., Choi, J., Choi, C., & Park, S. (2013). Impacts of changes in climate and land use/land cover under IPCC RCP scenarios on streamflow in the Hoeya River Basin, Korea. Science of the Total Environment, 452, 181–195. https://doi.org/10.1016/j.scitotenv.2013.02.005.
Li, X., & Yeh, A. G. O. (2010). Modelling sustainable urban development by the integration of constrained cellular automata and GIS. International Journal of Geographical Information Science, 14(2), 131–152. https://doi.org/10.1080/136588100240886.
Li, Z., Liu, W. Z., Zhang, X. C., & Zheng, F. L. (2009). Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China. Journal of Hydrology, 377(1), 35–42. https://doi.org/10.1016/j.jhydrol.2009.08.007.
Li, H., Sheffield, J., & Wood, E. F. (2010). Bias correction of monthly precipitation and temperature fields from Intergovernmental Panel on Climate Change AR4 models using equidistant quantile matching. Journal of Geophysical Research-Atmospheres, 115(D10). https://doi.org/10.1029/2009JD012882.
Li, Y., Chen, B. M., Wang, Z. G., & Peng, S. L. (2011). Effects of temperature change on water discharge, and sediment and nutrient loading in the lower Pearl River basin based on SWAT modelling. Hydrological Sciences Journal, 56(1), 68–83. https://doi.org/10.1080/02626667.2010.538396.
Lu, D., & Weng, Q. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), 823–870. https://doi.org/10.1080/01431160600746456.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885–900. https://doi.org/10.13031/2013.23153.
Myers, N., Mittermeier, R. A., Mittermeier, C. G., Da Fonseca, G. A., & Kent, J. (2000). Biodiversity hotspots for conservation priorities. Nature, 403(6772), 853–858. https://doi.org/10.1038/35002501.
Ndomba, P., Mtalo, F., & Killingtveit, A. (2008). SWAT model application in a data scarce tropical complex catchment in Tanzania. Physics and Chemistry of the Earth, Parts A/B/C, 33(8), 626–632. https://doi.org/10.1016/j.pce.2008.06.013.
Neitsch, S. L., Williams, J. R., Arnold, J. G., & Kiniry, J. R. (2011). Soil and water assessment tool theoretical documentation version 2009. College Station: Texas Water Resources Institute. Texas A&M University https://swat.tamu.edu/media/99192/swat2009-theory.pdf. Accessed 13 Jan 2019.
Nilawar, A. P., & Waikar, M. L. (2019). Impacts of climate change on streamflow and sediment concentration under RCP 4.5 and 8.5: a case study in Purna river basin, India. Science of the Total Environment, 650, 2685–2696. https://doi.org/10.1016/j.scitotenv.2018.09.334.
Ogden, F. L., Crouch, T. D., Stallard, R. F., & Hall, J. S. (2013). Effect of land cover and use on dry season river runoff, runoff efficiency, and peak storm runoff in the seasonal tropics of Central Panama. Water Resources Research, 49(12), 8443–8462. https://doi.org/10.1002/2013WR013956.
Petit, C., Scudder, T., & Lambin, E. (2001). Quantifying processes of land-cover change by remote sensing: resettlement and rapid land-cover changes in south-eastern Zambia. International Journal of Remote Sensing, 22(17), 3435–3456. https://doi.org/10.1080/01431160010006881.
Phan, D. B., Wu, C. C., & Hsieh, S. C. (2011). Land use change effects on discharge and sediment yield of Song Cau catchment in Northern Vietnam. Journal of Environmental Science & Engineering, 5(1), 92–101.
Pizarro, J., Vergara, P. M., Morales, J. L., Rodríguez, J. A., & Vila, I. (2014). Influence of land use and climate on the load of suspended solids in catchments of Andean rivers. Environmental Monitoring and Assessment, 186(2), 835–843. https://doi.org/10.1007/s10661-013-3420-z.
Rounsevell, M. D. A., Reginster, I., Araújo, M. B., Carter, T. R., Dendoncker, N., Ewert, F., et al. (2006). A coherent set of future land use change scenarios for Europe. Agriculture, Ecosystems & Environment, 114(1), 57–68. https://doi.org/10.1016/j.agee.2005.11.027.
Salvi, K., Kannan, S., & Ghosh, S. (2013). High-resolution multisite daily rainfall projections in India with statistical downscaling for climate change impacts assessment. Journal of Geophysical Research-Atmospheres, 118(9), 3557–3578. https://doi.org/10.1002/jgrd.50280.
Shahvari, N., Khalilian, S., Mosavi, S. H., & Mortazavi, S. A. (2019). Assessing climate change impacts on water resources and crop yield: a case study of Varamin plain basin, Iran. Environmental Monitoring and Assessment, 191(3), 134. https://doi.org/10.1007/s10661-019-7266-x.
Sinha, R. K., & Eldho, T. I. (2018). Effects of historical and projected land use/cover change on runoff and sediment yield in the Netravati river basin, Western Ghats, India. Environmental Earth Sciences, 77(3), 111. https://doi.org/10.1007/s12665-018-7317-6.
Sinha, R. K., Eldho, T. I., & Subimal, G. (2020a). Assessing the impacts of land cover and climate on runoff and sediment yield of a river basin. Hydrological Sciences Journal, 65, 1–19. https://doi.org/10.1080/02626667.2020.1791336.
Sinha, R. K., Eldho, T. I., & Subimal, G. (2020b). Assessing the impacts of land use/land cover and climate change on surface runoff of a humid tropical river basin in Western Ghats, India. International Journal of River Basin Management, 1–38. https://doi.org/10.1080/15715124.2020.1809434.
Sivakumar, B. (2011). Global climate change and its impacts on water resources planning and management: assessment and challenges. Stochastic Environmental Research and Risk Assessment, 25(4), 583–600. https://doi.org/10.1007/s00477-010-0423-y.
USDA-SCS (United States Department of Agriculture – Soil Conservation Service). (1972). National engineering handbook, Section 4 Hydrology, Chapter 4–10, USDA-SCS, Washington, USA.
Wagner, P. D., Bhallamudi, S. M., Narasimhan, B., Kantakumar, L. N., Sudheer, K. P., Kumar, S., Schneider, K., & Fiener, P. (2016). Dynamic integration of land use changes in a hydrologic assessment of a rapidly developing Indian catchment. Science of the Total Environment, 539, 153–164. https://doi.org/10.1016/j.scitotenv.2015.08.148.
Weng, Q. (2002). Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. Journal of Environmental Management, 64(3), 273–284. https://doi.org/10.1006/jema.2001.0509.
Williams, J. R. (1975). Sediment routing for agricultural watersheds. Water Resources Bulletin, 11, 965–974. https://doi.org/10.1111/j.1752-1688.1975.tb01817.x.
Wilson, C. O., & Weng, Q. (2011). Simulating the impacts of future land use and climate changes on surface water quality in the Des Plaines River watershed, Chicago Metropolitan Statistical Area, Illinois. Science of the Total Environment, 409(20), 4387–4405. https://doi.org/10.1016/j.scitotenv.2011.07.001.
Wu, Y., & Chen, J. (2013). Analyzing the water budget and hydrological characteristics and responses to land use in a monsoonal climate river basin in South China. Environmental Management, 51(6), 1174–1186. https://doi.org/10.1007/s00267-013-0045-5.
Wu, X., Hu, Y., He, H. S., Bu, R., Onsted, J., & Xi, F. (2009). Performance evaluation of the SLEUTH model in the Shenyang metropolitan area of northeastern China. Environmental Modeling and Assessment, 14(2), 221–230. https://doi.org/10.1007/s10666-008-9154-6.
Yan, B., Fang, N. F., Zhang, P. C., & Shi, Z. H. (2013). Impacts of land use change on watershed streamflow and sediment yield: an assessment using hydrologic modelling and partial least squares regression. Journal of Hydrology, 484, 26–37. https://doi.org/10.1016/j.jhydrol.2013.01.008.
Zhang, C., & Li, W. (2005). Markov chain modeling of multinomial land-cover classes. GIScience & Remote Sensing, 42(1), 1–18. https://doi.org/10.2747/1548-1603.42.1.1.
Zhang, H. J., Cheng, J. H., & Chen, Z. W. (2007). Effect of forest variety on runoff and sediment in the three Gorge Region of Yangtze River. Research Soil Water Conservation, 14, 1–3 http://en.cnki.com.cn/Article_en/CJFDTOTAL-STBY200701000.htm. Accessed 18 Mar 2019.
Zhu, Y. M., Lu, X. X., & Zhou, Y. (2008). Sediment flux sensitivity to climate change: a case study in the Longchuanjiang catchment of the upper Yangtze River, China. Global and Planetary Change, 60(3), 429–442. https://doi.org/10.1016/j.gloplacha.2007.05.001.
Zuo, D., Xu, Z., Yao, W., Jin, S., Xiao, P., & Ran, D. (2016). Assessing the effects of changes in land use and climate on runoff and sediment yields from a watershed in the Loess Plateau of China. Science of the Total Environment, 544, 238–250. https://doi.org/10.1016/j.scitotenv.2015.11.060.
Acknowledgments
The authors acknowledge the Department of Science and Technology (DST) for the financial support to this study. We wish to express our deep gratitude to Central Water Commission and Indian Meteorological Department India for providing hydrological and meteorological data. The authors also acknowledge the sponsorship of the project entitled “Impacts of Climate Change on Water Resources in River Basin from Tadri to Kanyakumari” by INCCC, Ministry of Water Resources, Gov. of India, New Delhi. The first author acknowledges the helps Prof. Subimal Ghosh for his suggestions, help, and valuable guidance.
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Sinha, R.K., Eldho, T.I. & Subimal, G. Assessing the impacts of historical and future land use and climate change on the streamflow and sediment yield of a tropical mountainous river basin in South India. Environ Monit Assess 192, 679 (2020). https://doi.org/10.1007/s10661-020-08623-5
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DOI: https://doi.org/10.1007/s10661-020-08623-5