[
Abaci, O., Papanicolaou, A.N.T., 2009. Long-term effects of management practices on water-driven soil erosion in an intense agricultural sub-watershed: Monitoring and modelling. Hydrological Processes, 23, 2818–2837. https://doi.org/10.1002/hyp.7380
]Search in Google Scholar
[
Ahearn, D.S., Sheibley, R.W., Dahlgren, R.A., Anderson, M., Johnson, J., Tate, K.W., 2005. Land use and land cover influence on water quality in the last free-flowing river draining the Western Sierra Nevada, California. J. Hydrol., 313, 234–247. https://doi.org/10.1016/j.jhydrol.2005.02.038
]Search in Google Scholar
[
Arnold, J.G., Fohrer, N., 2005. SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrological Processes, 19, 563–572. https://doi.org/10.1002/hyp.5611
]Search in Google Scholar
[
Baude, M., Meyer, B.C., Schindewolf, M., 2019. Land use change in an agricultural landscape causing degradation of soil based ecosystem services. Science of the Total Environment, 659, 1526–1536.
]Search in Google Scholar
[
Beven, K., 2001. How far can we go in distributed hydrological modelling? Hydrology and Earth System Sciences, 5, 1–12.
]Search in Google Scholar
[
Bittner, D., Rychlik, A., Kloffel, T., Leuteritz, A., Disse, M., Chiogna, G., 2020. A GIS-based model for simulating the hydrological effects of land use changes on karst systems - The integration of the LuKARS model into FREEWAT. Environmental Modelling & Software, 127, 104682. https://doi.org/10.1016/j.envsoft.2020.104682
]Search in Google Scholar
[
Borah, D., Bera, M., 2003. Watershed-scale hydrologic and nonpoint- source pollution models: Review of mathematical bases. Transactions of the ASAE, 46, 1553–1566
]Search in Google Scholar
[
Breuer, L., Eckhardt, K., Frede, H.G., 2003. Plant parameter values for models in temperate climates. Ecological Modelling, 169, 237–293. https://doi.org/10.1016/s0304-3800(03)00274-6
]Search in Google Scholar
[
Chilkoti, V., Bolisetti, T., Balachandar, R. 2018. Multiobjective autocalibration of SWAT model for improved low flow performance for a small snowfed catchment. Hydrological Sciences Journal, 63, 1482–1501.
]Search in Google Scholar
[
Curk, M., Glavan, M., Pintar, M., 2020. Analysis of nitrate pollution pathways on a vulnerable agricultural plain in Slovenia: Taking the local approach to balance ecosystem services of food and water. Water, 12, 707.
]Search in Google Scholar
[
Dakhlalla, A.O., Parajuli, P.B., 2016. Evaluation of the best management practices at the watershed scale to attenuate peak streamflow under climate change scenarios. Water Resources Management, 30, 963–982.
]Search in Google Scholar
[
Di Febbraro, M., Menchetti, M., Russo, D., Ancillotto, L., Aloise, G., Roscioni, F., Preatoni, D., Loy, A., Martinoli, A., Bertolino, S., Mori, E., 2019. Integrating climate and land-use change scenarios in modelling the future spread of invasive squirrels in Italy. Diversity and Distributions, 25, 644–659. https://doi.org/10.1111/ddi.12890
]Search in Google Scholar
[
Di Luzio, M., Arnold, J.G., Srinivasan, R., 2005. Effect of GIS data quality on small watershed stream flow and sediment simulations. Hydrological Processes, 19, 629–650. https://doi.org/10.1002/hyp.5612
]Search in Google Scholar
[
Di Luzio, M., Srinivasan, R., Arnold, J.G., 2002. Integration of watershed tools, and SWAT model into BASINS. Journal of the American Water Resources Association, 38, 1127–1141.
]Search in Google Scholar
[
Dixon, B., Earls, J., 2012. Effects of urbanization on streamflow using SWAT with real and simulated meteorological data. Applied Geography, 35, 174–190. https://doi.org/10.1016/j.apgeog.2012.06.010
]Search in Google Scholar
[
Duan, Y., Liu, T., Meng, F., Luo, M., Frankl, A., De Maeyer, P., Bao, A., Kurban, A., Feng, X., 2018. Inclusion of modified snow melting and flood processes in the Swat model. Water, 10, 1715.
]Search in Google Scholar
[
Fang, D., Hao, L., Cao, Z., Huang, X., Qin, M., Hu, J., Liu, Y., Sun, G., 2020. Combined effects of urbanization and climate change on watershed evapotranspiration at multiple spatial scales. Journal of Hydrology, 587, 124869.
]Search in Google Scholar
[
Forman, R.T.T., Godron, M., 1986. Landscape Ecology. John Wiley & Sons, Chichester. ISBN 978-0-471-87037-1.
]Search in Google Scholar
[
Fu, B., Merritt, W.S., Croke, B.F., Weber, T.R., Jakeman, A.J., 2019. A review of catchment-scale water quality and erosion models and a synthesis of future prospects. Environmental Modelling & Software, 114, 75–97.
]Search in Google Scholar
[
Fucik, P., 2015. Methodological procedure for assessing the impact of cattle grazing on soil properties, water quantity and quality and biodiversity in the landscape. Research Institute of Melioration and Soil Protection, 100 p. (In Czech.)
]Search in Google Scholar
[
Gassman, P.W., Reyes, M.R., Green, C.H., Arnold, J.G., 2007. The soil and water assessment tool: Historical development, applications, and future research directions. Transactions of the ASABE, 50, 1211–1250.
]Search in Google Scholar
[
Glavan, M., Pintar, M., 2012. Strengths, weaknesses, opportunities and threats of catchment modelling with Soil and Water Assessment Tool (SWAT) model. In: Nayak, P. (Ed.): Water Resources Management and Modeling. Intechopen, pp. 39–64.
]Search in Google Scholar
[
Grath, B., 2016. Simulation of discharge and nitrate-nitrogen loads in the Raab catchment with the hydrological model SWAT. Master Thesis. Department for Water-Atmosphere-Environment, University of Natural Resources and Life Sciences, Vienna.
]Search in Google Scholar
[
Green, W.H., Ampt, G.A., 1911. Studies on soil physics. The Journal of Agricultural Science, 4, 1–24.
]Search in Google Scholar
[
Janglová, R., Kvítek, T., Novák, P., 2003. Categorisation of soil infiltration capacity based on GIS processing of soil survey data. Soil and Water, 2, 61–81.
]Search in Google Scholar
[
Jodar-Abellan, A., Valdes-Abellan, J., Pla, C., Gomariz-Castillo, F., 2019. Impact of land use changes on flash flood prediction using a sub-daily SWAT model in five Mediterranean ungauged watersheds (SE Spain). Science of the Total Environment, 657, 1578–1591.
]Search in Google Scholar
[
Lin, F., Chen, X., Yao, H., Lin, F., 2022. SWAT model-based quantification of the impact of land-use change on forest-regulated water flow. Catena, 211, 105975.
]Search in Google Scholar
[
Maghsood, F.F., Moradi, H., Massah Bavani, A.R., Panahi, M., Berndtsson, R., Hashemi, H., 2019. Climate change impact on flood frequency and source area in Northern Iran under CMIP5 scenarios. Water, 11, 273.
]Search in Google Scholar
[
Mori, S., Pacetti, T., Brandimarte, L., Santolini, R., Caporali, E., 2021. A methodology for assessing spatio-temporal dynamics of flood regulating services. Ecological Indicators, 129, 107963.
]Search in Google Scholar
[
Monteith, J., 1965. Evaporation and environment. Symposia of the Society for Experimental Biology, 19, 205–234.
]Search in Google Scholar
[
Nash, J.E., Sutcliffe, J.V., 1970. River flow forecasting through conceptual models Part I – A discussion of principles. Journal of Hydrology, 10, 282–290.
]Search in Google Scholar
[
Neitsch, S., Arnold, J., Kiniry, J., Srinivasan, R., Williams, J., 2004. Soil and Water Assessment Tool Input/Output File Documentation Version 2005. Grassland, Soil and Water Research Laboratory, Agricultural Research Service & Blackland Research Center, Texas Agricultural Experiment Station, Temple, Texas, 529 p.
]Search in Google Scholar
[
Neitsch, S.L., Arnold, J.G., Kiniry, JR, Williams, J.R., 2011. Soil and Water Assessment Tool Theoretical Documentation Version 2009. Grassland, Soil and Water Research Laboratory, Agricultural Research Service & Blackland Research Center, Texas Agricultural Experiment Station, Temple, Texas, 618 p.
]Search in Google Scholar
[
Nepal, D., Parajuli, P.B., Ouyang, Y., To, S.F., Wijewardane, N., 2023. Assessing hydrological and water quality responses to dynamic land use change at watershed scale in Mississippi. Journal of Hydrology, 625, 129983.
]Search in Google Scholar
[
Pebesma, E.J., De Kwaadsteniet, J., 1997. Mapping groundwater quality in the Netherlands. Journal of Hydrology, 200, 364–386.
]Search in Google Scholar
[
Perks, M.T., Warburton, J., Bracken, L.J., Reaney, S.M., Emery, S.B., Hirst, S., 2017. Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management. Journal of Environmental Management, 202, 469–478.
]Search in Google Scholar
[
Parshotam, A., Robertson, D., 2019. Modelling for catchment management. In: Hamilton, D. et al. (Eds.): Lake Restoration Handbook. Springer, Cham, pp. 25–65. ISBN 978-3-319-93042-8.
]Search in Google Scholar
[
Prokopova, M., Salvati, L., Egidi, G., Cudlin, O., Vcelakova, R., Plch, R., Cudlin, P., 2019. Envisioning present and future land-use change under varying ecological regimes and their influence on landscape stability. Sustainability, 11, 17, 4654. https://doi.org/10.3390/su11174654
]Search in Google Scholar
[
Purwitaningsiha, S., Pamungkasa, A., Setyasaa, P.T., Pamungkasa, R.P., Alfiana, A.R., Irawana, S.A.R., 2020. Flood-reduction scenario based on land use in Kedurus River basin using SWAT hydrology model. Geoplanning: Journal of Geomatics and Planning, 7, 87–94.
]Search in Google Scholar
[
Rahman, M., Bolisetti, T., Balachandar, R., 2010. Effect of climate change on low-flow conditions in the Ruscom River Watershed, Ontario. Transactions of the ASABE, 53, 1521–1532.
]Search in Google Scholar
[
Rauter, M., Schindelegger, A., Fuchs, S., Thaler, T., 2019. Deconstructing the legal framework for flood protection in Austria: Individual and state responsibilities from a planning perspective. Water International, 44, 571–587.
]Search in Google Scholar
[
Saxton, K.E., Rawls, W.J., 2006. Soil water characteristic estimates by texture and organic matter for hydrologic solutions. Soil Science Society of America Journal, 70, 1569–1578, https://doi.org/10.2136/sssaj2005.0117
]Search in Google Scholar
[
Singh, J., Knapp, H.V., Arnold, J.G., Demissie, M., 2005. Hydrological modeling of the Iroquois River watershed using HSPF and SWAT. Journal of the American Water Resources Association, 41, 343–360. https://doi.org/10.1111/j.1752-1688.2005.tb03740.x
]Search in Google Scholar
[
Tenagashaw, D.Y., Andualem, T.G., 2022. Analysis and characterization of hydrological drought under future climate change using the SWAT model in Tana Sub-Basin, Ethiopia. Water Conservation Science and Engineering, 7, 131–142.
]Search in Google Scholar
[
Van den Hoven, K., Kroeze, C., van Loon-Steensma, J.M., 2022. Characteristics of realigned dikes in Coastal Europe: Overview and opportunities for nature-based flood protection. Ocean & Coastal Management, 222, 106116.
]Search in Google Scholar
[
Van der Ploeg, R., Ringe, H., Machulla, G., Hermsmeyer, D., 1997. Postwar nitrogen use efficiency in West German agriculture and groundwater quality. Journal of Environmental Quality, 26, 1203–1212.
]Search in Google Scholar
[
Van Griensven, A., Bauwens, W., 2003. Multiobjective autocalibration for semidistributed water quality models. Water Resources Research, 39, 12. https://doi.org/10.1029/2003wr002284
]Search in Google Scholar
[
Van Griensven, A., Meixner, T., Grunwald, S., Bishop, T., Diluzio, A., Srinivasan, R., 2006. A global sensitivity analysis tool for the parameters of multi-variable catchment models. Journal of Hydrology, 324, 10–23. https://doi.org/10.1016/j.jhydrol.2005.09.008
]Search in Google Scholar
[
Van Griensven, A., Francos, A., Bauwens, W., 2002. Sensitivity analysis and auto-calibration of an integral dynamic model for river water quality. Water Science and Technology, 45, 325–332.
]Search in Google Scholar
[
Zewde, N.T., Denboba, M.A., Tadesse, S.A., Getahun, Y.S., 2024. Predicting runoff and sediment yields using soil and water assessment tool (SWAT) model in the Jemma Subbasin of Upper Blue Nile, Central Ethiopia. Environmental Challenges, 14, 100806.
]Search in Google Scholar
[
Zhan, X.Y., Huang, M.L., 2004. ArcCN-Runoff: An ArcGIS tool for generating curve number and runoff maps. Environmental Modelling & Software, 19, 875–879. https://doi.org/10.1016/j.envsoft.2004.03.001
]Search in Google Scholar
