Attribution of Hydrologic Changes in a Tropical River Basin to Rainfall Variability and Land-Use Change: Case Study from India
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VIEW CORRECTIONPublication: Journal of Hydrologic Engineering
Volume 25, Issue 8
Abstract
In recent decades, several parts of the world have been facing severe droughts and frequent floods against a background of anthropogenic influences and changes in climatic variables. For efficient management and adaptation measures, it is important to understand the relative effect of climate variability and anthropogenic influences. The Nagavalli River Basin (NRB), located in India, has experienced significant changes in hydroclimatic variables and land use in the last decade and therefore serves an ideal basin for investigating the attribution of rainfall variability and land-use changes. In this study, the characteristics of precipitation, temperature, and streamflow were analyzed for the period 1970–2012. It was observed that there is a significant increasing trend in precipitation and streamflow. Further, there have been substantial land-use change in terms of scrubland conversion. Investigations on rainfall-runoff coherency using wavelet coherence showed that there were noteworthy changes during the periods of 1991–2001 and 2002–2012. The contributions of land-use and rainfall variability to the changes in the streamflow were quantified using a semidistributed hydrological model (Soil Water Assessment Tool). The results showed that for the whole NRB, the variations of mean annual streamflow in 2002–2012 were primarily affected by rainfall variability with reference to 1990s, whereas human activities played a complementary role. The quantitative assessment revealed that rainfall variability resulted in an increase in runoff by 103 mm in 2002–2012 for the whole catchment, accounting for 41.52% of runoff changes relative to the 1990s. However, land-use changes are responsible for a decrease in runoff by 59 mm during the period of 2002–2012, which accounts for of runoff changes. Overall, it was observed that the agricultural intensification in terms of scrubland conversion counteracted the effect of rainfall variability, resulting in the reduction in the margin of increase in streamflow.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
The financial assistance provided by the Department of Science and Technology (DST), Government of India, and SERB, India, under the schemes of Inspire Faculty Award (IFA-12/ENG-28) and the Early Career Research Award (ECRA/2016/1721) held by Dr. Maheswaran is gratefully acknowledged. The corresponding author’s (V. Sridhar) effort was funded in part by the Virginia Agricultural Experiment Station (Blacksburg) and through the Hatch Program of the National Institute of Food and Agriculture at the United States Department of Agriculture (Washington, DC).
References
Ahiablame, L., T. Sinha, M. Paul, J. H. Ji, and A. Rajib. 2017. “Streamflow response to potential land use and climate changes in the James River watershed, upper midwest United States.” J. Hydrol.: Reg. Stud. 14 (Dec): 150–166. https://doi.org/10.1016/j.ejrh.2017.11.004.
Aich, V., S. Liersch, T. Vetter, J. Andersson, E. N. Müller, and F. F. Hattermann. 2015. “Climate or land use?—Attribution of changes in river flooding in the Sahel Zone.” J. Water. 7 (6): 2796–2820.
Anand, J., A. K. Gosain, and R. Khosa. 2018. “Prediction of land use changes based on land change modeler and attribution of changes in the water balance of Ganga Basin to land use.” Sci. Total Environ. 644 (Dec): 503–519. https://doi.org/10.1016/j.scitotenv.2018.07.017.
Arnold, J. G., J. Kiniry, R. Srinivasan, J. Williams, E. Haney, and S. Neitsch. 2012a. Soil and water assessment tool, input/output documentation version 2012, 654. College Station, TX: Texas Water Resources Institute.
Arnold, J. G., D. N. Moriasi, P. W. Gassman, K. C. Abbaspour, M. J. White, V. Griensven, and V. Liew. 2012b. “SWAT: Model use, calibration, and validation.” J. Trans. ASABE 55 (4): 1491–1508. https://doi.org/10.13031/2013.42256.
Arnold, J. G., R. Srinvasan, R. S. Muttiah, and J. R. Williams. 1998. “Large area hydrological modeling and assessment, Part 1: Model development.” J. Water Resour. Assoc. 34 (1): 73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x.
Asres, M. T., and S. B. Awulachew. 2010. “SWAT based runoff and sediment yield modeling: A case study of the Gumera watershed in the Blue Nile Basin.” Ecohydrol. Hydrobiol. 10 (2–4): 191–199. https://doi.org/10.2478/v10104-011-0020-9.
Bekele, D., T. Alamirew, A. Kebede, G. Zeleke, and A. M. Melesse. 2019. “Land use and land cover dynamics in the Keleta watershed, Awash River Basin, Ethiopia.” Environ. Hazards 18 (3): 246–265. https://doi.org/10.1080/17477891.2018.1561407.
Bisht, D. S., C. Chatterjee, N. S. Raghuwanshi, and V. Sridhar. 2017a. “An analysis of precipitation climatology over Indian urban agglomeration.” J. Theor. Appl. Climatol. 133 (1–2): 421–436. https://doi.org/10.1007/s00704-017-2200-z.
Bisht, D. S., C. Chatterjee, N. S. Raghuwanshi, and V. Sridhar. 2017b. “Spatio-temporal trends of rainfall across Indian river basins.” J. Theor. Appl. Climatol. 132 (1–2): 419–436. https://doi.org/10.1007/s00704-017-2095-8.
Bisht, D. S., V. Sridhar, A. Mishra, C. Chatterjee, and N. S. Raghuwanshi. 2019. “Drought characterization over India under projected climate scenario.” Int. J. Climatol. 39 (4): 1889–1911. https://doi.org/10.1002/joc.5922.
Booij, M. J., L. Bouaziz, M. Hegnauer, and J. C. J. Kwadijk. 2019. “Effect of hydrological model structures on extreme high discharge simulations.” In 27th IUGG General Assembly. Montreal: IGAC.
Bosch, N. S., J. D. Allan, D. M. Dolan, H. Han, and R. P. Richards. 2011. “Application of the soil and water assessment tool for six watersheds of Lake Erie: Model parameterization and calibration.” J. Great Lakes Res. 37 (2): 263–271. https://doi.org/10.1016/j.jglr.2011.03.004.
Butcher, J., T. Johnson, D. Nover, and S. Sakar. 2014. “Incorporating the effects of increased atmospheric in watershed model projections of climate change impacts.” J. Hydrol. 513 (May): 322–334. https://doi.org/10.1016/j.jhydrol.2014.03.073.
Canadian Centre for Climate Modelling and Analysis Data. 2019 “CanESM2/CGCM4 model output”. Accessed August 24, 2019. http://climate-modelling.canada.ca/climatemodeldata/cgcm4/CanESM2/index.shtml.
CFSR (Climate Forecast System Reanalysis). 2014. “Climate forecast system reanalysis (CFSR), ver. 1, 1979–2011.” Accessed March 22, 2018. https://globalweather.tamu.edu/.
CWC (Central Water Commission). 2012. “Stream flow discharge data for the period 1985–2012.” Accessed March 22, 2018. http://cwc.gov.in/water-resources-information-system-wris.
Dai, A. 2013. “Increasing drought under global warming in observations and models.” Nat. Clim. Change 3 (1): 52–58. https://doi.org/10.1038/nclimate1633.
Deccan Chronicle. 2017. Nagavali river triggers alarm. [online], p. 4. Accessed March 4, 2018. https://www.deccanchronicle.com/nation/current-affairs/190717/nagavali-vamsadhara-inflows-recede-flash-floods-threat-looms.html.
Dey, P., and A. Mishra. 2017. “Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions.” J. Hydrol. 548 (May): 278–290. https://doi.org/10.1016/j.jhydrol.2017.03.014.
Easterling, W. E., N. J. Rosenberg, M. S. McKenney, C. A. Jones, P. T. Dyke, and J. R. Williams. 1992. “Preparing the erosion productivity impact calculator (EPIC) model to simulate crop response to climate change and the direct effects of .” Agric. For. Meteorol. 59 (1–2): 17–34. https://doi.org/10.1016/0168-1923(92)90084-H.
Ehtiat, M., S. Jamshid Mousavi, and R. Srinivasan. 2018. “Groundwater modeling under variable operating conditions using SWAT, MODFLOW and MT3DMS: A catchment scale approach to water resources management.” Water Resour. Manage. 32 (5): 1631–1649. https://doi.org/10.1007/s11269-017-1895-z.
Fang, G. H., J. Yang, Y. N. Chen, and C. Zammit. 2015. “Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China.” Hydrol. Earth Syst. Sci. 19 (6): 2547–2559. https://doi.org/10.5194/hess-19-2547-2015.
Fiseha, B. M., S. G. Setegn, A. M. Melesse, E. Volpi, and A. Fiori. 2012. “Hydrological analysis of the Upper Tiber River Basin central Italy: A catchment modeling approach.” Hydrol. Processes 27 (16): 2339–2351. https://doi.org/10.1002/hyp.9234.
Gashaw, T., T. Tulu, M. Argaw, and A. W. Worqlul. 2018. “Modeling the hydrological impacts of land use/land cover changes in the Andassa watershed, Blue Nile Basin, Ethiopia.” Sci. Total Environ. 619–620 (Apr): 1394–1408. https://doi.org/10.1016/j.scitotenv.2017.11.191.
Ghosh, S., D. Das, S. C. Kao, and A. R. Ganguly. 2012. “Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes.” Nat. Clim. Change 2 (2): 86–91. https://doi.org/10.1038/nclimate1327.
Grinsted, A., J. C. Moore, and S. Jevrejeva. 2004. “Application of the cross wavelet transform and wavelet coherence to geophysical time series.” Nonlinear Processes Geophys. 11 (5/6): 561–566. https://doi.org/10.5194/npg-11-561-2004.
Guo, F., J. Lenoir, and T. C. Bonebrake. 2018. “Land-use change interacts with climate to determine elevational species redistribution.” J. Nat. Commun. 9 (1): 1–7.
Guo, J., X. L. Su, V. P. Singh, and J. M. Jin. 2016. “Impacts of climate and land use/cover change on streamflow using SWAT and a separation method for the Xiying River Basin in northwestern China.” Water 8 (5): 1–14. https://doi.org/10.3390/w8050192.
Gupta, H. V., S. Sorooshian, and P. O. Yapo. 1999. “Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration.” J. Hydrol. Eng. 4 (2): 135–143. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135).
Gupta, S. C., A. C. Kessler, M. K. Brown, and F. Zvomuya. 2015. “Climate and agricultural land use change impacts on streamflow in the upper midwestern United States.” Water Resour. Res. 51 (7): 5301–5317. https://doi.org/10.1002/2015WR017323.
Hayhoe, S. J., C. Neill, and S. Porder. 2011. “Conversion to soy on the Amazonian agricultural frontier increases streamflow without affecting stormflow dynamics.” J. Global Change Biology 17: 1821–1833.
Hirabayashi, Y., R. Mahendran, S. Koirala, L. Konoshima, D. Yamazaki, S. Watanabe, H. Kim, and S. Kanae. 2013. “Global flood risk under climate change.” Nat. Clim. Change 3 (9): 816–821. https://doi.org/10.1038/nclimate1911.
Holvoet, K., A. van Griensven, P. Seuntjens, and P. A. Vanrolleghem. 2005. “Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT.” Phys. Chem. Earth 30 (8–10): 518–526. https://doi.org/10.1016/j.pce.2005.07.006.
IMD (India Meteorological Department). 2014. “India Meteorological Department (IMD) gridded temperature data set for the period 1953–2013.” Accessed December 22, 2017. https://mausam.imd.gov.in/.
Jaksa, W. T. A., and V. Sridhar. 2015. “Effect of irrigation in simulating long-term evapotranspiration climatology in a human-dominated river basin system.” Agric. For. Meteorol. 200 (Jan): 109–118. https://doi.org/10.1016/j.agrformet.2014.09.008.
Jin, X., and V. Sridhar. 2012. “Impacts of climate change on hydrology and water resources in the Boise and Spokane River Basins.” J. Am. Water Resour. Assoc. 48 (2): 197–220. https://doi.org/10.1111/j.1752-1688.2011.00605.x.
Kavetski, D., F. Fenicia, and M. P. Clark. 2011. “Impact of temporal data resolution on parameter inference and model identification in conceptual hydrological modeling: Insights from an experimental catchment.” Water Resour. Res. 47 (5): W05501. https://doi.org/10.1029/2010WR009525.
Kidane, W., and G. Bogale. 2017. “Effect of land use land cover dynamics on hydrological response of watershed: Case study of Tekeze Dam watershed northern Ethiopia.” J. Soil Water Conserv. Res. 5 (1): 1–16. https://doi.org/10.1016/j.iswcr.2017.03.002.
Kumar, N., B. Tischbein, M. K. Beg, and J. J. Bogardi. 2018. “Spatio-temporal analysis of irrigation infrastructure development and long-term changes in irrigated areas in Upper Kharun catchment, Chhattisgarh, India.” Agric. Water Manage. 197 (Jan): 158–169. https://doi.org/10.1016/j.agwat.2017.11.022.
Kumar, V., S. K. Jain, and Y. Singh. 2010. “Analysis of long-term rainfall trends in India.” J. Hydrol. Sci. 55 (4): 484–496. https://doi.org/10.1080/02626667.2010.481373.
Landsat 5. 1990. “Landsat data sets, global land survey 1990.” Accessed March 6, 2018. https://www.usgs.gov/media/images/earthexplorer-landsat-collection-1-level-1-datasets.
Landsat 5. 2005. “Landsat data sets, global land survey 2005.” Accessed March 6, 2018. https://www.usgs.gov/media/images/earthexplorer-landsat-collection-1-level-1-datasets.
Legates, D. R., and G. McCabe 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.
Lenderink, G., A. Buishand, and W. van Deursen. 2007. “Estimates of future discharges of the River Rhine using two scenario methodologies: Direct versus delta approach.” Hydrol. Earth Syst. Sci. 11 (3): 1145–1159. https://doi.org/10.5194/hess-11-1145-2007.
Leon, A. S., E. A. Kanashiro, R. Valverde, and V. Sridhar. 2014. “A dynamic framework for intelligent control of river flooding—A case study.” J. Water Resour. Plann. Manage. 140 (2): 258–268. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000260.
LSMSD (Legacy Soil Maps and Soils Databases). 2012. “Legacy soil maps and soils databases (LSMSD), soil survey, FAO soils portal.” Accessed February 13, 2018. https://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/en/.
Maheswaran, R., and R. Khosa. 2012. “Comparative study of different wavelets for hydrologic forecasting.” Comput. Geosci. 46 (Sep): 284–295. https://doi.org/10.1016/j.cageo.2011.12.015.
Marhaento, H., M. J. Booij, T. H. M. Rientjes, and A. Y. Hoekstra. 2017. “Attribution of changes in the water balance of a tropical catchment to land use change using the SWAT model.” Hydrol. Processes 31 (11): 2029–2040. https://doi.org/10.1002/hyp.11167.
Mengistu, D. T., and A. Sorteberg. 2012. “Sensitivity of SWAT simulated streamflow to climatic changes within the Eastern Nile River Basin.” Hydrol. Earth Syst. Sci. 16 (2): 391–407. https://doi.org/10.5194/hess-16-391-2012.
Monteith, J. L. 1965. “Evaporation and the environment.” In Proc., 19th Symposia of the Society for Experimental Biology: The State and Movement of Water in Living Organisms, 205–234. London: Cambridge University Press.
Moriasi, D. N., J. G. Arnold, M. W. Van Liew, R. L. Bingner, R. D. Harmel, and T. L. Veith. 2007. “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” J. Trans. ASABE 50 (3): 885–900. https://doi.org/10.13031/2013.23153.
Moss, R. H., J. A. Edmonds, and K. A. Hibbard. 2010. “The next generation of scenarios for climate change research and assessment.” Nature 463: 747–756. https://doi.org/10.1038/nature08823.
Nash, E., and V. Sutcliffe. 1970. “River flow forecasting through conceptual models. Part I—A discussion of principles.” J. Hydrol. 10 (3): 282–290. https://doi.org/10.1016/0022-1694(70)90255-6.
Nathan, S., A. Bosch David, M. Davi, H. Haejin, and R. Peter. 2011. “Application of the soil and water assessment tool for six catchments of Lake Erie: Model parameterization and calibration.” J. Great Lakes Res. 37 (2): 263–271. https://doi.org/10.1016/j.jglr.2011.03.004.
Naz, B. S., S. C. Kao, M. Ashfaq, H. Gao, D. Rastogi, and S. Gangrade. 2018. “Effects of climate change on streamflow extremes and implications for reservoir inflow in the United States.” J. Hydrol. 556 (Jan): 359–370. https://doi.org/10.1016/j.jhydrol.2017.11.027.
Nazeer, M. 2010. “Comparison of different methods for estimation of potential evapotranspiration.” Nucleus 47 (1): 41–46.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams. 2009. Soil and water assessment tool theoretical documentation version 2009, 618. College Station, TX: Texas Water Resources Institute.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, and J. R. Williams. 2011. Soil and water assessment tool; theoretical documentation: Version 2009. College Station, TX: Texas Water Resource Institute.
Neitsch, S. L., J. G. Arnold, J. R. Kiniry, J. R. Williams, and K. W. King. 2002. Soil and Water Assessment Tool theoretical documentation. Ver. 2000. Temple, TX: Texas A&M Univ. Blackland Research and Extension Center.
Nie, W., Y. Yuan, W. Kepner, M. S. Nash, M. Jackson, and C. Erickson. 2011. “Assessing impacts of landuse and landcover changes on hydrology for the upper San Pedro watershed.” J. Hydrol. 407 (1–4): 105–114. https://doi.org/10.1016/j.jhydrol.2011.07.012.
Niraula, R., T. Meixner, and L. M. Norman. 2015. “Determining the importance of model calibration for forecasting absolute/relative changes in streamflow from LULC and climate changes.” J. Hydrol. 522 (Mar): 439–451. https://doi.org/10.1016/j.jhydrol.2015.01.007.
Paul, S., S. Ghosh, M. Mathew, A. Devanand, S. Karmakar, and D. Niyogi. 2018. “Increased spatial variability and intensification of extreme monsoon rainfall due to urbanization.” Sci. Rep. 8 (1): 1–10. https://doi.org/10.1038/s41598-018-22322-9.
Pervez, M. S., and G. M. Henebry. 2015. “Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River Basin.” J. Hydrol.: Reg. Stud. 3 (Mar): 285–311. https://doi.org/10.1016/j.ejrh.2014.09.003.
Pokhrel, Y., M. Burbano, J. Roush, H. Kang, V. Sridhar, and D. Hyndman. 2018. “A review of hydrological, agricultural, and ecological effects of climate change and dam construction in the Mekong River Basin.” Water 10 (3): 266. https://doi.org/10.3390/w10030266.
Rogger, M. 2017. “Land-use change impacts on floods at the catchment scale—Challenges and opportunities for future research.” Water Resour. Res. 53 (7): 5209–5219. https://doi.org/10.1002/2017WR020723.
Sahin, V., and M. J. Hall. 1996. “The effects of afforestation and deforestation on water yields.” J. Hydrology. 178: 293–309.
Samaniego, L., S. Thober, R. Kumar, N. Wanders, O. Rakovec, M. Pan, M. Zink, J. Sheffield, E. F. Wood, and A. Marx. 2018. “Anthropogenic warming exacerbates European soil moisture droughts.” Nat. Clim. Change 8 (5): 421–426. https://doi.org/10.1038/s41558-018-0138-5.
Sehgal, V., V. Sridhar, L. Juran, and J. Ogejo. 2018. “Integrating climate forecasts with the soil and water assessment tool (SWAT) for high-resolution hydrologic simulation and forecasts in the southeastern U.S.” Sustainability 10 (9): 3079. https://doi.org/10.3390/su10093079.
Seong, C. H., and V. Sridhar. 2017. “Hydroclimatic variability and change in the Chesapeake Bay watershed.” J. Water Clim. Change 8 (2): 254–273. https://doi.org/10.2166/wcc.2016.008.
Setti, S., M. Rathinasamy, and S. Chandramouli. 2018. “Assessment of water balance for a forest dominated coastal river basin in India using a semi distributed hydrological model.” Model. Earth Syst. Environ. 4 (1): 127–140. https://doi.org/10.1007/s40808-017-0402-0.
Shrestha, S., M. Shrestha, and P. K. Shrestha. 2017. “Evaluation of the SWAT model performance for simulating river discharge in the Himalayan and tropical basins of Asia.” Hydrol. Res. 49 (3): 846–860. https://doi.org/10.2166/nh.2017.189.
Sridhar, V., and K. A. Anderson. 2017. “Human-induced modifications to boundary layer fluxes and their water management implications in a changing climate.” Agric. For. Meteorol. 234: 66–79. https://doi.org/10.1016/j.agrformet.2016.12.009.
Sridhar, V., X. Jin, and W. T. Jaksa. 2013. “Explaining the hydro climatic variability and change in the Salmon River Basin.” J. Clim. Dyn. 40 (7–8): 1921–1937. https://doi.org/10.1007/s00382-012-1467-0.
Sridhar, V., H. Kang, and S. A. Ali. 2019. “Human-induced alterations to land use and climate and their responses on hydrology and water management in the Mekong River Basin.” Water 11 (6): 1307. https://doi.org/10.3390/w11061307.
Sridhar, V., and D. A. Wedin. 2009. “Hydrological behavior of grasslands of the Sandhills: Water and energy balance assessment from measurements, treatments and modeling.” Ecohydrology 2 (2): 195–212. https://doi.org/10.1002/eco.61.
Srinivasan, R., X. Zhang, and J. Arnold. 2010. “SWAT ungauged: Hydrological budget and crop yield predictions in the Upper Mississippi River Basin.” J. Trans. ASABE 53 (5): 1533–1546. https://doi.org/10.13031/2013.34903.
SRTM (Shuttle Radar Topography Mission). 2006. “Shuttle radar topography mission (SRTM) data subset, digital elevation data set.” Accessed March 6, 2018. https://srtm.csi.cgiar.org/srtmdata/.
Su, B., J. Huang, X. Zeng, C. Gao, and T. Jiang. 2017. “Impacts of climate change on streamflow in the upper Yangtze River Basin.” Clim. Change 141 (3): 533–546. https://doi.org/10.1007/s10584-016-1852-5.
Taylor, S. D., Y. He, and K. M. Hiscock. 2016. “Modeling the impacts of agricultural management practices on river water quality in eastern England.” J. Environ. Manage. 180 (Sep): 147–163. https://doi.org/10.1016/j.jenvman.2016.05.002.
Thanapakpawin, P., J. Richey, D. Thomas, S. Rodda, B. Campbell, and M. Logsdon. 2007. “Effects of landuse change on the hydrologic regime of the Mae Chaem River Basin, NW Thailand.” J. Hydrol. 334 (1–2): 215–230. https://doi.org/10.1016/j.jhydrol.2006.10.012.
Thilakarathne, M., V. Sridhar, and R. Karthikeyan. 2018. “Spatially explicit pollutant load-integrated in-stream E. coli concentration modeling in a mixed land-use catchment.” Water Res. 144 (Nov): 87–103. https://doi.org/10.1016/j.watres.2018.07.021.
Tomer, M. D., and K. E. Schilling. 2009. “A simple approach to distinguish land-use and climate-change effects on watershed hydrology.” J. Hydrol. 376 (1–2): 24–33. https://doi.org/10.1016/j.jhydrol.2009.07.029.
Van Griensven, A., T. Meixner, S. Grunwald, T. Bishop, M. Diluzio, and R. Srinivasan. 2006. “A global sensitivity analysis tool for the parameters of multi-variable catchment models.” J. Hydrol. 324 (1–4): 10–23. https://doi.org/10.1016/j.jhydrol.2005.09.008.
Vinnarasi, R., and C. T. Dhanya. 2016. “Changing characteristics of extreme wet and dry spells of Indian monsoon rainfall.” J. Geophys. Res. Atmos. 121 (5): 2146–2160. https://doi.org/10.1002/2015JD024310.
Wagener, T., and H. S. Wheater. 2006. “Parameter estimation and regionalization for continuous rainfall-runoff models including uncertainty.” J. Hydrology 320 (1–2): 132–154.
Wang, B., S. Y. Yim, J. Y. Lee, J. Liu, and K. J. Ha. 2014a. “Future change of Asian-Australian monsoon under RCP 4.5 anthropogenic warming scenario.” Clim. Dyn. 42 (1–2): 83–100. https://doi.org/10.1007/s00382-013-1769-x.
Wang, G., J. Liu, J. Kubota, and L. Chen. 2007. “Effects of land-use changes on hydrological processes in the middle basin of the Heihe River, northwest China.” J. Hydrol. Process. 21 (10): 1370–1382. https://doi.org/10.1002/hyp.6308.
Wang, R., L. Kalin, W. Kuang, and H. Tian. 2014b. “Individual and combined effects of land use/cover and climate change on Wolf Bay watershed streamflow in southern Alabama.” Hydrol. Processes 28 (22): 5530–5546. https://doi.org/10.1002/hyp.10057.
Wang, W., Q. Shao, T. Yang, S. Peng, W. Xing, and F. Sun. 2013. “Quantitative assessment of the impact of climate variability and human activities on runoff changes: A case study in four catchments of the Haihe River Basin China.” Hydrol. Process 27 (8): 1158–1174. https://doi.org/10.1002/hyp.9299.
Wei, X., and M. Zhang. 2010. “Quantifying streamflow change caused by forest disturbance at a large spatial scale: A single watershed study.” Water Resour. Res. 46 (12): 1–15. https://doi.org/10.1029/2010WR009250.
Wohl, E., et al. 2012. “The hydrology of the humid tropics.” Nat. Clim. Change 2 (9): 655–662. https://doi.org/10.1038/nclimate1556.
Ye, B., D. Yang, and D. L. Kane. 2003. “Changes in Lena River streamflow hydrology: Human impacts versus natural variations.” Water Resour. Res. 39 (7): 1200. https://doi.org/10.1029/2003WR001991.
Young, R. A., C. Onstad, D. Bosch, and W. Anderson. 1989. “AGNPS: A nonpoint-source pollution model for evaluating agricultural watersheds.” J. Soil Water Conserv. 44 (2): 168–173.
Zhang, L., Z. Nan, W. Yu, and Y. Ge. 2016. “Hydrological responses to land-use change scenarios under constant and changed climatic conditions.” Environ. Manage. 57 (2): 412–431. https://doi.org/10.1007/s00267-015-0620-z.
Zhang, M., X. Wei, P. Sun, and S. Liu. 2012. “The effect of forest harvesting and climatic variability on runoff in a large watershed: The case study in the Upper Minjiang River of Yangtze River Basin.” J. Hydrol. 464–465 (Sep): 1–11. https://doi.org/10.1016/j.jhydrol.2012.05.050.
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Volume 25 • Issue 8 • August 2020
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History
Received: Feb 11, 2019
Accepted: Feb 3, 2020
Published online: May 19, 2020
Published in print: Aug 1, 2020
Discussion open until: Oct 19, 2020
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