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Individual and combined impacts of future climate and land use changes on the water balance
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“The results align with previous studies (Kulkarni et al. 2014;Kundu et al. 2017;Nikam et al. 2018;Chanapathi & Thatikonda 2020).”
From Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin (2024) · cites this paper as Kundu et al. 2017
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Global hydrological cycles and world water resources
Oki, T., & Kanae, S. (2006) · Science · doi:10.1126/science.1128845 · Cited by 4,392
Gassman, P. W., Reyes, M. R., Green, C. H., & Arnold, J. G. (2007) · Transactions of the ASABE · doi:10.13031/2013.23637 · Cited by 3,040
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Research works printed but not linked: 60
- Anandhi, 2008, Downscaling precipitation to river basin in India for IPCC SRES scenarios using support vector machine, Int. J. Climatol., 28, 401, 10.1002/joc.1529 · DOI
- Andréassian, 2004, Waters and forests: from historical controversy to scientific debate, J. Hydrol., 291, 1, 10.1016/j.jhydrol.2003.12.015 · DOI
- Arsanjani, 2011, Tracking dynamic land-use change using spatially explicit Markov Chain based on cellular automata: the case of Tehran, Int. J. Image Data Fusion, 2, 329, 10.1080/19479832.2011.605397 · DOI
- Baker, 2013, Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed, J. Hydrol., 486, 100, 10.1016/j.jhydrol.2013.01.041 · DOI
- Baldyga, 2008, Assessing land cover change in Kenya's Mau Forest region using remotely sensed data, Afr. J. Ecol., 46, 46, 10.1111/j.1365-2028.2007.00806.x · DOI
- Bosch, 1982, A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration, J. Hydrol., 55, 3, 10.1016/0022-1694(82)90117-2 · DOI · Paper page
- Brown, 2005, A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation, J. Hydrol., 310, 28, 10.1016/j.jhydrol.2004.12.010 · DOI
- Ceola, 2014, Hydrologic controls on basin-scale distribution of benthic invertebrates, Water Resour. Res., 50, 2903, 10.1002/2013WR015112 · DOI
- Chawla, 2015, Isolating the impacts of land use and climate change on streamflow, Hydrol. Earth Syst. Sci., 19, 3633, 10.5194/hess-19-3633-2015 · DOI
- Cuo, 2011, Effects of mid-twenty-first century climate and land cover change on the hydrology of the Puget Sound basin, Washington, Hydrol. Process., 25, 1729, 10.1002/hyp.7932 · DOI
- Dias, 2015, Effects of land cover change on evapotranspiration and streamflow of small catchments in the Upper Xingu River Basin, Central Brazil, J. Hydrol. Reg. Stud., 4, 108, 10.1016/j.ejrh.2015.05.010 · DOI
- Du, 2012, Assessing the effects of urbanization on annual runoff and flood events using an integrated hydrological modeling system for Qinhuai River basin, China, J. Hydrol., 464, 127, 10.1016/j.jhydrol.2012.06.057 · DOI
- Duhan, 2015, Statistical downscaling of temperature using three techniques in the Tons River basin in Central India, Theor. Appl. Climatol., 121, 605, 10.1007/s00704-014-1253-5 · DOI
- El-Khoury, 2015, Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin, J. Environ. Manage., 151, 76, 10.1016/j.jenvman.2014.12.012 · DOI
- Gupta, 1999, Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration, J. Hydrol. Eng., 4, 135, 10.1061/(ASCE)1084-0699(1999)4:2(135) · DOI
- Guse, 2015, Eco-hydrologic model cascades: simulating land use and climate change impacts on hydrology, hydraulics and habitats for fish and macroinvertebrates, Sci. Total Environ., 533, 542, 10.1016/j.scitotenv.2015.05.078 · DOI
- Hosseini, 2012, Effects of land use changes on water balance in Taleghan Catchment, Iran, J. Agric. Sci. Technol., 14, 1161
- Jeganathan, 2010, Markov model for predicting the land cover changes in Shimla district, Indian For., 136, 667
- Kalnay, 1996, The NCEP/NCAR 40-year reanalysis project, Bull. Am. Meteorol. Soc., 77, 437, 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2 · DOI
- Karan, 2016, Accuracy of land use change detection using support vector machine and maximum likelihood techniques for open-cast coal mining areas, Environ. Monit. Assess., 188, 486, 10.1007/s10661-016-5494-x · DOI
- Kim, 2014, Assessment of future water resources and water scarcity considering the factors of climate change and social–environmental change in Han River basin, Korea, Stoch. Environ. Res. Risk Assess., 28, 1999, 10.1007/s00477-014-0924-1 · DOI
- Kundu, 2016, Interrelationship of rainfall, temperature and reference evapotranspiration trends and their net response to the climate change in Central India, Theor. Appl. Climatol., 1
- Kundu, 2016, Future changes in rainfall, temperature and reference evapotranspiration in the central India by Least Square Support Vector Machine, Geosci. Front.
- Kundu, 2014, Shifting shoreline of Sagar Island Delta, India, J. Maps, 10, 612, 10.1080/17445647.2014.922131 · DOI
- Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 159, 10.2307/2529310 · DOI · Paper page
- Leander, 2007, Resampling of regional climate model output for the simulation of extreme river flows, J. Hydrol., 332, 487, 10.1016/j.jhydrol.2006.08.006 · DOI
- Legates, 1999, Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation, Water Resour. Res., 35, 233, 10.1029/1998WR900018 · DOI
- Leite, 2011, Historical reconstruction of land use in the Brazilian Amazon (1940–1995), J. Land Use Sci., 6, 33, 10.1080/1747423X.2010.501157 · DOI
- Li, 2009, Impacts of land use change and climate variability on hydrology in an agricultural catchment on the Loess Plateau of China, J. Hydrol., 377, 35, 10.1016/j.jhydrol.2009.08.007 · DOI
- Macedo, 2012, Decoupling of deforestation and soy production in the southern Amazon during the late 2000s, Proc. Natl. Acad. Sci. U. S. A., 109, 1341, 10.1073/pnas.1111374109 · DOI · Paper page
- Memarian, 2014, SWAT-based hydrological modelling of tropical land-use scenarios, Hydrol. Sci. J., 59, 1808, 10.1080/02626667.2014.892598 · DOI
- Mondal, 2014, Impact of climate change on future soil erosion in different slope, land use, and soil-type conditions in a part of the Narmada River Basin, India, J. Hydrol. Eng., 20, C5014003, 10.1061/(ASCE)HE.1943-5584.0001065 · DOI
- Mondal, 2012, Comparison of support vector machine and maximum likelihood classification technique using satellite imagery, Int. J. Remote Sens. GIS, 1, 116
- Mondal, 2013, Modeling of spatio-temporal dynamics of land use and land cover in a part of Brahmaputra River basin using Geoinformatic techniques, Geocarto Int., 28, 632, 10.1080/10106049.2013.776641 · DOI
- Mukhopadhyay, 2014, Forest cover change prediction using hybrid methodology of geoinformatics and Markov chain model: a case study on sub-Himalayan town Gangtok, India, J. Earth Syst. Sci., 123, 1349, 10.1007/s12040-014-0476-2 · DOI
- Narsimlu, 2013, Assessment of future climate change impacts on water resources of upper Sind river basin, India using SWAT model, Water Resour. Manage., 27, 3647, 10.1007/s11269-013-0371-7 · DOI
- Nash, 1970, River flow forecasting through conceptual models part I—a discussion of principles, J. Hydrol., 10, 282, 10.1016/0022-1694(70)90255-6 · DOI
- Obeysekera, 2011, Climate change and its implications for water resources management in south Florida, Stoch. Environ. Res. Risk Assess., 25, 495, 10.1007/s00477-010-0418-8 · DOI
- Rahman, 2014, Streamflow response to regional climate model output in the mountainous watershed: a case study from the Swiss Alps, Environ. Earth Sci., 72, 4357, 10.1007/s12665-014-3336-0 · DOI
- Sajikumar, 2015, Impact of land cover and land use change on runoff characteristics, J. Environ. Manage., 161, 460, 10.1016/j.jenvman.2014.12.041 · DOI
- Santos, 2014, The impact of climate change, human interference, scale and modeling uncertainties on the estimation of aquifer properties and river flow components, J. Hydrol., 519, 1297, 10.1016/j.jhydrol.2014.09.001 · DOI
- Setegn, 2011, Impact of climate change on the hydroclimatology of Lake Tana Basin, Ethiopia, Water Resour. Res., 47, 10.1029/2010WR009248 · DOI
- Sivakumar, 2011, Global climate change and its impacts on water resources planning and management: assessment and challenges, Stoch. Environ. Res. Risk Assess., 25, 583, 10.1007/s00477-010-0423-y · DOI
- Srinivasan, 2010, SWAT ungauged: hydrological budget and crop yield predictions in the Upper Mississippi River Basin, Trans. ASABE, 53, 1533, 10.13031/2013.34903 · DOI
- Suykens, 1999, Least squares support vector machine classifiers, Neural Process. Lett., 9, 293, 10.1023/A:1018628609742 · DOI
- Tavakoli, 2014, Impact of climate change and urban development on extreme flows in the Grote Nete watershed, Belgium, Nat. Hazards, 71, 2127, 10.1007/s11069-013-1001-7 · DOI
- Tripathi, 2006, Downscaling of precipitation for climate change scenarios: a support vector machine approach, J. Hydrol., 330, 621, 10.1016/j.jhydrol.2006.04.030 · DOI
- Van Griensven, 2006, A global sensitivity analysis tool for the parameters of multi-variable catchment models, J. Hydrol., 324, 10, 10.1016/j.jhydrol.2005.09.008 · DOI
- Verma, 2017, Sugarcane crop identification from LISS IV data using ISODATA, MLC, and indices based decision tree approach, Arab. J. Geosci., 10, 16, 10.1007/s12517-016-2815-x · DOI
- Wada, 2011, Modelling global water stress of the recent past: on the relative importance of trends in water demand and climate variability, Hydrol. Earth Syst. Sci., 15, 3785, 10.5194/hess-15-3785-2011 · DOI
- Wagner, 2013, An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India, Hydrol. Earth Syst. Sci., 17, 2233, 10.5194/hess-17-2233-2013 · DOI
- Wagner, 2016, Dynamic integration of land use changes in a hydrologic assessment of a rapidly developing Indian catchment, Sci. Total Environ., 539, 153, 10.1016/j.scitotenv.2015.08.148 · DOI
- Wilby, 2002, SDSM—a decision support tool for the assessment of regional climate change impacts, Environ. Model. Softw., 17, 145, 10.1016/S1364-8152(01)00060-3 · DOI
- Wingate, 2016, Mapping decadal land cover changes in the woodlands of north eastern Namibia from 1975 to 2014 using the Landsat satellite archived data, Remote Sens., 8, 681, 10.3390/rs8080681 · DOI
- Wu, 2013, Projecting the land cover change and its environmental impacts in the Cedar River Basin in the Midwestern United States, Environ. Res. Lett., 8, 024025, 10.1088/1748-9326/8/2/024025 · DOI
- Yang, 2012, A spatiotemporal model of land use change based on ant colony optimization. Markov chain and cellular automata, Ecol. Model., 233, 11, 10.1016/j.ecolmodel.2012.03.011 · DOI
- Ye, 2013, Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest, Clim. Change, 120, 419, 10.1007/s10584-013-0827-z · DOI
- Zhang, 2012, Assessments of impacts of climate change and human activities on runoff with SWAT for the Huifa River Basin, Northeast China, Water Resour. Manage., 26, 2199, 10.1007/s11269-012-0010-8 · DOI
- Zhao, 2016, Impacts of land use change and climate variability on green and blue water resources in the Weihe River Basin of northwest China, Catena, 137, 318, 10.1016/j.catena.2015.09.018 · DOI
- Zhou, 2013, Hydrological response to urbanization at different spatio-temporal scales simulated by coupling of CLUE-S and the SWAT model in the Yangtze River Delta region, J. Hydrol., 485, 113, 10.1016/j.jhydrol.2012.12.040 · DOI
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Sorted by citations
Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin
Anil, S., P, A. R., & Vema, V. K. (2024) · Journal of Water and Climate Change · doi:10.2166/wcc.2024.442 · Cited by 20
Metadata
- Authors
- Kundu, S., Khare, D., & Mondal, A.
- Affiliations
- University of South Carolina (US)
- Indian Institute of Technology Roorkee (IN)
- Corresponding author
- Mondal, Arun
- Venue
- Ecological Engineering
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 105
- Pages
- 42-57
- ISSN
- 0925-8574 (ISSN-L)
- OpenAlex
- W2612574867
- Cited by
- 142
- References
- 2
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 21 · 2023: 22 · 2022: 25 · 2021: 26 · 2020: 14 · 2019: 7 · 2018: 7 · 2017: 5
- FWCI
- 4.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Ecological Engineering (publishedVersion)
- Funders
- University Grants Commission
- Topics
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Water Science and Technology › Environmental and Agricultural Sciences
- Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
- Keywords
- water balance, climate change impacts, land use change, Narmada basin, water yield, surface runoff, evapotranspiration, rainfall projections, temperature projections, climate downscaling, sub-watersheds, SWAT model
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