Abstract
Assessment of land use and climate change impacts on the hydrological cycle is important for basin scale water resources management. This study aims to investigate the potential impacts of land use and climate change on the hydrology of the Bago River Basin in Myanmar. Two scenarios from the representative concentration pathways (RCPs): RCP4.5 and RCP8.5 recommended by the Intergovernmental Panel on Climate Change, Fifth Assessment Report (IPCC AR5) were used to project the future climate of 2020s, 2050s, and 2080s. Six general circulation models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5) were selected to project the future climate in the basin. An increase of average temperature in the range of 0.7 to 1.5 °C and 0.9 to 2.7 °C was observed under RCP 4.5 and RCP 8.5, respectively, in future periods. Similarly, average annual precipitation shows a distinct increase in all three periods with the highest increase in 2050s. A well calibrated and validated Soil and Water Assessment Tool (SWAT) was used to simulate the land use and climate change impacts on future stream flows in the basin. It is observed that the impact of climate change on stream flow is higher than the land use change in the near future. The combined impacts of land use and climate change can increase the annual stream flow up to 68 % in the near future. The findings of this study would be beneficial to improve land and water management decisions and in formulating adaptation strategies to reduce the negative impacts, and harness the positive impacts of land use and climate change in the Bago River Basin.
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Andréasson, J., Bergström, S., Carlsson, B., Graham, L.P., Lindström, G. (2004). Hydrological change: climate change impact simulations for Sweden. Ambio 33(4/5), 228–234.
Arora, V. K., & Boer, G. J. (2001). Effects of simulated climate change on the hydrology of major river basins. Journal of Geophysical Research, 106, 3335–3348.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., & Williams, J. R. (1998). Large area hydrologic modeling and assessment. Part 1 Model development. Journal of the American Water Resources Association, 34(1), 1–17.
Bosshard, T., Kotlarski, S., Ewen, T., Schär, C. (2011). Spectral representation of the annual cycle in the climate change signal. Hydrology and Earth System Sciences Discussions, 8,1161–1192. http://dx.doi.org/10.5194/hessd-8-1161-2011.
Bouraoui, F., Grizzetti, B., Granlund, K., Rekolainen, S., & Bidoglio, G. (2004). Impact of climate change on the water cycle and nutrient losses in a Finnish catchment. Climatic Change, 66(1), 109–126.
Cannon, A. J., & Whitfield, P. H. (2001). Downscaling recent streamflow conditions in British Columbia, Canada using ensemble neural network models. Journal of Hydrology, 259, 136–151.
Chaplot, V. (2007). Water and soil resources response to rising levels of atmospheric CO2 concentration and to changes in precipitation and air temperature. Journal of Hydrology, 337(1–2), 159–171.
Cherkauer, K. A., & Sinha, T. (2010). Hydrologic impacts of projected future climate change in the Lake Michigan region. Journal of Great Lakes Research, 36, 33–50.
Cuo, L., Zhang, Y., Gao, Y., Hao, Z., & Cairang, L. (2013). The impacts of climate change and land cover/use transition on the hydrology in the upper Yellow River Basin, China. Journal of Hydrology, 502, 37–52.
Eckhardt, K., & Ulbrich, U. (2003). Potential impacts of climate change on groundwater recharge and streamflow in a central European low mountain range. Journal of Hydrology, 284(1–4), 244–252.
Ercan, M. B., Goodall, J. L., Castronova, A. M., Humphrey, M., & Beekwilder, N. (2014). Environmental Modelling & Software, 62, 188–196.
Gellens, D., Roulin, E. (1998). Streamflow response of Belgian catchments to IPCC climate change scenarios. Journal of Hydrology, 210(1–4), 242–258. http://dx.doi.org/10.1016/S0022-1694(98)00192-9.
Graham, L., Andréasson, J., Carlsson, B. (2007a). Assessing climate change impacts on hydrology from an ensemble of regional climate models, model scales and linking methods – a case study on the Lule River basin. Climatic Change 81, 293–307. http://dx.doi.org/10.1007/s10584-006-9215-2.
Graham, L., Hagemann, S., Jaun, S., Beniston, M. (2007b). On interpreting hydrological change from regional climate models. Climatic Change 81, 97–122. http://dx.doi.org/10.1007/s10584-006-9217-0.
Hlaing, K., Haruyama, S., & Aye, M. (2008). Using GIS-based distributed soil loss modeling and morphometric analysis to prioritize watershed for soil conservation in Bago River Basin of Lower Myanmar. Higher Education Press and Springer-Verlag
ITC (2011). Report for mitigation of Bago flood, ministry of agriculture and irrigation. Republic of Union of Myanmar.
Kim, J., Choi, J., Choi, C., & Park, S. (2013). Impacts of changes in climate and land use/land cover under IPCC RCP scenarios on stream flow in the Hoeya River Basin, Korea. Science of the Total Environment, 452–453, 181–195.
Lorencova, E., Frelichova, J., Nelson, E., & Vackar, D. (2013). Past and future impacts of land use and limate change on agricultural ecosystem services in the Czech Republic. Land Use Policy, 33, 183–194.
Luo, G., Yin, C., Chen, X., Xu, W., & Lu, L. (2010). Combining system dynamic model and CLUE-S model to improve land use scenario analysis at regional scale: A case study of Songong watershed in Xinjiang, China. Ecological Complexity, 7, 198–207.
Middelkoop, H., Daamen, K., Gellens, D., Grabs, W., Kwadijk, J.C.J., Lang, H., Parmet, B.W.A.H., Schädler, B., Schulla, J., Wilke, K. (2001). Impact of climate change on hydrological regimes and water resources management in the Rhine Basin. Climatic Change, 49(1), 105–128. http://dx.doi.org/10.1023/A:1010784727448.
Montenegro, S., & Ragab, R. (2012). Impact of possible climate and land use changes in the semi-arid regions: a case study from North Eastern Brazil. Journal of Hydrology, 434–435, 55–68.
Moore, K., Pierson, D., Pettersson, K., Schneiderman, E., Samuelsson, P. (2008). Effects of warmer world scenarios on hydrologic inputs to Lake Mälaren, Sweden and implications for nutrient loads. Hydrobiologia, 599(1), 191–199. http://dx.doi.org/10.1007/s10750-007-9197-8.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., & Williams, J. R. (2005). Soil and water assessment tool, theoretical documentation: Version, agricultural research service and Texas A&M Blackland Research Center. Temple: USDA.
Rosenberg, N. J., Brown, R. A., Izaurralde, R. C., & Thomson, A. M. (2003). Integrated assessment of Hadley Centre (HadCM2) climate change projections on agricultural productivity and irrigation water supply in the conterminous United States: I. Climate change scenarios and impacts on irrigation water supply simulated with the HUMUS model. Agricultural and Forest Meteorology, 117(1–2), 73–96.
Setegn, S. G., Rayner, D., Melesse, A. M., Dargahi, B., & Srinivasan, R. (2011). Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia. Water Resources Research, 47(4), W04511.
Shabalova, M.V., van Deursen, W.P., Buishand, T.A. (2003). Assessing future discharge of the river Rhine using regional climate model integrations and a hydrological model. Climate Research, 23(3), 233–246. http://dx.doi.org/10.3354/cr023233.
Shelly (2014). Development of Flood inundation map for the Bago River. Yangon Technological University.
Tong, S. T. Y., Sun, Y., Ranatunga, T., He, J., & Yang, J. (2012). Predicting plausible impacts of sets of climate and land use change scenarios on water resources. Applied Geography, 32, 477–489.
Tu, J. (2009). Combined impact of climate and land use changes on streamflow and water quality in eastern Massachusetts, USA. Journal of Hydrology, 379, 268–283.
Van Griensven, A., & Meixner, T. (2006). Methods to quantify and identify the sources of uncertainty for river basin water quality models. Water Science and Technology, 53(1), 51–59.
Verburg, P. H., Soepboer, W., Limpiada, R., Espaldon, M. V. O., Sharifa, M., & Veldkamp, A. (2002). Land use change modelling at the regional scale: the CLUE-S model. Environmental Management, 30, 391–405.
Verburg, P. H., & Veldkamp, A. (2004). Projecting land use transitions at forest fringes in the Philippines at two spatial scales. Landscape Ecology, 19(1), 77–98.
Verburg, P. H. (2010). The clue modelling framework:CourSe material. Amsterdam University Institute for Environmental Studies. 53 pp.
Wang, S., Zhang, Z., McVicar, T. R., Guo, J., Tang, Y., & Yao, A. (2013). Isolating the impacts of climate change and land use change on decadal streamflow variation: Assessing three complementary approaches. Journal of Hydrology, 507, 63–74.
Xu, X., Scanlon, B. R., Schilting, K., & Sun, A. (2013). Relative importance of climate and land surface changes on hydrologic changes in the US Midwest since the 1930s: Implication of biofuel production. Journal of Hydrology, 497, 110–120.
Xu, Y. P., Zhang, X., Ran, Q., & Tian, Y. (2013). Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China. Journal of Hydrology, 483, 51–60.
You, Q., Min, J., Fraedrich, K., Zhang, W., & Kang, S. (eds) (2014). Projected trends in mean, maximum, and minimum surface temperature in China from simulations. Global and Planetary Change, 112, 53–63.
Zhang, P., Liu, Y., Pan, Y., & Yu, Z. (2013). Land use pattern optimization based on CLUE-S and SWAT models for agricultural non-point source pollution control. Mathematical and Computer Modelling, 58, 588–595.
Zhang G., Guhathakurta S., Lee S, Moore A., Yan L.J. (2014). Grid-Based Land-Use Composition and Configuration Optimization for Watershed Stormwater Management. Water Resources Management, 28(10), 2867–2883.
Acknowledgments
The authors acknowledge the financial support provided by a Norwegian Scholarship and Asian Institute of Technology (AIT), Thailand, to conduct this research. The authors would also like to thank the Department of Meteorology and Hydrology, Myanmar for providing valuable data for the research.
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Shrestha, S., Htut, A.Y. Land Use and Climate Change Impacts on the Hydrology of the Bago River Basin, Myanmar. Environ Model Assess 21, 819–833 (2016). https://doi.org/10.1007/s10666-016-9511-9
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DOI: https://doi.org/10.1007/s10666-016-9511-9