Abbaspour, 2011
Abbaspour, 2004, Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure, Vadose Zone J., 3, 1340, 10.2136/vzj2004.1340
Akhavan, 2010, Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran, Agric. Ecosyst. Environ., 139, 675, 10.1016/j.agee.2010.10.015
Akhavan, 2011, Conditioning DRASTIC model to simulate nitrate pollution case study: Hamadan–Bahar plain, Environ. Earth Sci., 63, 1155, 10.1007/s12665-010-0790-1
Alcalá, 2015, A hydrological–economic model for sustainable groundwater use in sparse-data drylands: application to the Amtoudi Oasis in southern Morocco, northern Sahara, Sci. Total Environ., 537, 309, 10.1016/j.scitotenv.2015.07.062
Alley, 2002, Flow and storage in groundwater systems, Science, 296, 1985, 10.1126/science.1067123
Allouche, 2017, A global risk approach to assessing groundwater vulnerability, Environ. Model. Softw, 88, 168, 10.1016/j.envsoft.2016.11.023
Araghinejad, 2014, vol. 67, 1
Arnold, 2012, SWAT: model use, calibration, and validation, Trans. ASABE, 55, 1491, 10.13031/2013.42256
Arnold, 1998, Large area hydrologic modeling and assessment part I: model development, J. Am. Water Resour. Assoc., 34, 73, 10.1111/j.1752-1688.1998.tb05961.x
Beale, 2016
Behm, 1989, Ill waters: the fouling of Wisconsin's lakes and streams (special report), Milwaukee J., 2
Boles, 2015, Tile drainage simulation in SWAT2012: parameterization and evaluation in an Indiana watershed, Trans. ASABE, 1201
Burkart, 1993, Hydrologic and land-use factors associated with herbicides and nitrate in near-surface aquifers, J. Environ. Qual., 22, 646, 10.2134/jeq1993.00472425002200040002x
Chen, 2018, Urban inundation response to rainstorm patterns with a coupled hydrodynamic model: a case study in Haidian Island, China, J. Hydrol., 564, 1022, 10.1016/j.jhydrol.2018.07.069
Coulibaly, 2005, Nonstationary hydrological time series forecasting using nonlinear dynamic methods, J. Hydrol., 307, 164, 10.1016/j.jhydrol.2004.10.008
De Paz, 2009, Use of a new GIS nitrogen index assessment tool for evaluation of nitrate leaching across a Mediterranean region, J. Hydrol., 365, 183, 10.1016/j.jhydrol.2008.11.022
Department of Commerce, 1993
Du, 2006, Evaluation of SWAT in simulating nitrate nitrogen and atrazine fates in a watershed with tiles and potholes, Trans. ASABE (Am. Soc. Agric. Biol. Eng.), 49, 949
Engel, 2007, A hydrologic/water quality model application protocol, J. Am. Water Resour. Assoc., 43, 1223, 10.1111/j.1752-1688.2007.00105.x
Fleming, 1993, Hydrogeologic framework of Marion County, Indiana, Indiana Geol. Surv. Open File Stud., 67, 3
Gao, 2019, Coupling components and services for integrated environmental modelling, Environ. Model. Softw, 118, 14, 10.1016/j.envsoft.2019.04.003
Green, 2006, Hydrologic evaluation of the soil and water assessment tool for a large tile-drained watershed in Iowa, Trans. ASABE, 49, 413, 10.13031/2013.20415
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)
Ha, 2003, Identification of land use with water quality data in stormwater using a neural network, Water Res., 37, 4222, 10.1016/S0043-1354(03)00344-0
Heaton, 2008
Her, 2016, Effect of conservation practices implemented by USDA programs at field and watershed scales, J. Soil Water Conserv., 71, 249, 10.2489/jswc.71.3.249
Jang, 2018, Efficient flow calibration method for accurate estimation of baseflow using a watershed scale hydrological model (SWAT), Ecol. Eng., 125, 50, 10.1016/j.ecoleng.2018.10.007
Jang, 2017, Aquifer vulnerability assessment for sustainable groundwater management using DRASTIC, Water, 9, 1, 10.3390/w9100792
Jiang, 2014, Estimation of nonpoint-source nitrate concentrations in Indiana rivers based on agricultural drainage in the watershed, J. Am. Water Resour. Assoc., 50, 1501, 10.1111/jawr.12216
Kalin, 2010, Predicting water quality in unmonitored watersheds using artificial neural networks, J. Environ. Qual., 39, 1429, 10.2134/jeq2009.0441
Kamp, 2007, Hydrological model coupling with ANNs, Hydrol. Earth Syst. Sci. Discuss., 11, 1869, 10.5194/hess-11-1869-2007
Kellogg, 1994, The potential for leaching of agrichemicals used in crop production: a national perspective, J. Soil Water Conserv., 49, 294
Krause, 2005, Comparison of different efficiency criteria for hydrological model assessment, Adv. Geosci., 5, 89, 10.5194/adgeo-5-89-2005
Kundu, 2016, Identifying model consistency through stepwise calibration to capture streamflow variability, Environ. Model. Softw, 84, 1, 10.1016/j.envsoft.2016.06.013
Lam, 2010, Modelling point and diffuse source pollution of nitrate in a rural lowland catchment using the SWAT model, Agric. Water Manag., 97, 317, 10.1016/j.agwat.2009.10.004
Li, 2019, Land use pattern, irrigation, and fertilization effects of rice-wheat rotation on water quality of ponds by using self-organizing map in agricultural watersheds, Agric. Ecosyst. Environ., 272, 155, 10.1016/j.agee.2018.11.021
Lim, 2001
Lim, 2005, Automated web GIS based hydrograph analysis tool, WHAT, J. Am. Water Resour. Assoc., 41, 1407, 10.1111/j.1752-1688.2005.tb03808.x
Lin, 2001, A modeling approach to global nitrate leaching caused by anthropogenic fertilization, Water Res., 35, 1961, 10.1016/S0043-1354(00)00484-X
Looker, 1991
Maxwell, 2015, A high-resolution simulation of groundwater and surface water over most of the continental US with the integrated hydrologic model ParFlow v3, Geosci. Model Dev. (GMD), 8, 1
Monteith, 1965, Evaporation and environment, Symp. Soc. Exp. Biol., 19, 205
Moriasi, 2007, Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885, 10.13031/2013.23153
Moriasi, 2015, Hydrologic and water quality models: performance measures and evaluation criteria, Trans. ASABE, 58, 1763, 10.13031/trans.58.10715
Morris, 2003
Mukate, 2018, Impact of anthropogenic inputs on water quality in Chincholi industrial area of Solapur, Maharashtra, India, Groundw. Sustain. Dev., 7, 359, 10.1016/j.gsd.2017.11.001
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
Navulur, 1996
Neitsch, 2011
Nourani, 2009, A multivariate ANN-wavelet approach for rainfall–runoff modeling, Water Resour. Manag., 23, 2877, 10.1007/s11269-009-9414-5
Pohlert, 2007, Assessing the model performance of an integrated hydrological and biogeochemical model for discharge and nitrate load predictions, Hydrol. Earth Syst. Sci. Discuss., 3, 2813, 10.5194/hessd-3-2813-2006
Puckett, 1994, vols. 94–4001
Rai, 2019, A novel computational green infrastructure design framework for hydrologic and human benefits, Environ. Model. Softw, 118, 252, 10.1016/j.envsoft.2019.03.016
Runkel, 2004, vol. 4
SCS, 1972, 4
Sethi, 2010, Prediction of water table depth in a hard rock basin by using artificial neural network, Int. J. Water Resour. Environ. Eng., 4, 95
Shao, 2016, Efficient leave-one-out cross-validation-based regularized extreme learning machine, Neurocomputing, 194, 260, 10.1016/j.neucom.2016.02.058
Shin, 2019, Integrated sediment transport process modeling by coupling soil and water assessment tool and environmental fluid dynamics code, Environ. Model. Softw, 116, 26, 10.1016/j.envsoft.2019.02.002
Singh, 2004
Sloboda, 2013, Autocalibration experiments using machine learning and high performance computing, Environ. Model. Softw, 40, 302, 10.1016/j.envsoft.2012.10.007
Solley, 1998
Solomatine, 2009, A novel method to estimate model uncertainty using machine learning techniques, Water Resour. Res., 45, 10.1029/2008WR006839
Solomatine, 2008, Data-driven modelling: some past experiences and new approaches, J. Hydroinf., 10, 3, 10.2166/hydro.2008.015
Sullivan, 2000, Timing of dairy manure applications to perennial grass on well drained and poorly drained soils, J. Soil Water Conserv., 55, 147
Sullivan, 2019, Nitrate transport in a karst aquifer: numerical model development and source evaluation, J. Hydrol., 573, 432, 10.1016/j.jhydrol.2019.03.078
Tedesco, 2011
Tedesco, 2005, 182
Thirumalaivasan, 2003, AHP-DRASTIC: software for specific aquifer vulnerability assessment using DRASTIC model and GIS, Environ. Model. Softw, 18, 645, 10.1016/S1364-8152(03)00051-3
Unland, 2015, Dynamic river-groundwater exchange in the presence of a saline, semi-confined aquifer: the Dynamics of River-Groundwater Exchange in River Banks, Hydrol. Process., 29, 4817, 10.1002/hyp.10525
USDA-NRCS, 2011, Scope and effect equations. Wisconsin supplement to Chapter 19: hydrology tools for wetland determination
Van Liew, 2003, Hydrologic simulation on agricultural watersheds: choosing between two models, Trans. ASAE, 46, 1539, 10.13031/2013.15643
Williams, 1984, A modeling approach to determining the relationship between erosion and soil productivity, Trans. ASAE, 27, 129, 10.13031/2013.32748
Worland, 2018, Improving predictions of hydrological low-flow indices in ungaged basins using machine learning, Environ. Model. Softw, 101, 169, 10.1016/j.envsoft.2017.12.021
Wong, 2015, Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation, Pattern Recognit., 48, 2839, 10.1016/j.patcog.2015.03.009
Yeo, 2014, Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model, Hydrol. Earth Syst. Sci., 18, 5239, 10.5194/hess-18-5239-2014
Yu, 2015, Analysis of space–time non-stationary patterns of rainfall–groundwater interactions by integrating empirical orthogonal function and cross wavelet transform methods, J. Hydrol., 525, 585, 10.1016/j.jhydrol.2015.03.057
Zhang, 2011, Simultaneous calibration of surface flow and baseflow simulations: a revisit of the SWAT model calibration framework, Hydrol. Process., 25, 2313, 10.1002/hyp.8058