{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T10:35:54Z","timestamp":1725878154456},"reference-count":78,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T00:00:00Z","timestamp":1691712000000},"content-version":"am","delay-in-days":283,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000199","name":"U.S. Department of Agriculture","doi-asserted-by":"publisher","award":["1195","2017-67021-26141","2019-67019-29310"],"id":[{"id":"10.13039\/100000199","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009171","name":"Natural Resources Conservation Service","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009171","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Environmental Modelling & Software"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1016\/j.envsoft.2022.105494","type":"journal-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T09:34:14Z","timestamp":1660210454000},"page":"105494","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["Development of a calibration approach using DNDC and PEST for improving estimates of management impacts on water and nutrient dynamics in an agricultural system"],"prefix":"10.1016","volume":"157","author":[{"given":"Abha","family":"Bhattarai","sequence":"first","affiliation":[]},{"given":"Garrett","family":"Steinbeck","sequence":"additional","affiliation":[]},{"given":"Brian B.","family":"Grant","sequence":"additional","affiliation":[]},{"given":"Margaret","family":"Kalcic","sequence":"additional","affiliation":[]},{"given":"Kevin","family":"King","sequence":"additional","affiliation":[]},{"given":"Ward","family":"Smith","sequence":"additional","affiliation":[]},{"given":"Nuo","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Jia","family":"Deng","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4405-1689","authenticated-orcid":false,"given":"Sami","family":"Khanal","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.envsoft.2022.105494_bib1","series-title":"Design and Construction of Subsurface Drainage Systems on Agricultural Lands in Humid Areas","first-page":"1","author":"American Society of Agricultural","year":"2015"},{"key":"10.1016\/j.envsoft.2022.105494_bib2","series-title":"Systems For Monitoring and Analytics For Renewable Transportation Fuels From Agricultural Resources and Management. Office of NEPA Policy and Compliance","author":"Babson","year":"2020"},{"key":"10.1016\/j.envsoft.2022.105494_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.137851","article-title":"Modifying fertilizer rate and application method reduces environmental nitrogen losses and increases corn yield in Ontario","volume":"722","author":"Banger","year":"2020","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.envsoft.2022.105494_bib4","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.ecoleng.2018.11.007","article-title":"Two calibration methods for modeling streamflow and suspended sediment with the swat model","volume":"127","author":"Brighenti","year":"2019","journal-title":"Ecol. Eng."},{"issue":"3","key":"10.1016\/j.envsoft.2022.105494_bib5","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/0016-7037(87)90070-6","article-title":"Constitutive mass balance relations between chemical composition , volume , density , porosity , and strain in metasomatic hydrochemkai systems : results on weathering and pedogenesis","volume":"51","author":"Brimhall","year":"1987","journal-title":"Geochem. Cosmochim. Acta"},{"key":"10.1016\/j.envsoft.2022.105494_bib6","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.agee.2015.10.028","article-title":"Predicting ammonia volatilization after field application of swine slurry: DNDC model development","volume":"219","author":"Congreves","year":"2016","journal-title":"Agric. Ecosyst. Environ."},{"issue":"Issue 5","key":"10.1016\/j.envsoft.2022.105494_bib7","article-title":"Calibration and uncertainty analysis for complex environmental models","volume":"53","author":"Doherty","year":"2015","journal-title":"Groundwater"},{"key":"10.1016\/j.envsoft.2022.105494_bib8","series-title":"PEST Model-independent Parameter Estimation User Manual Part I: PEST, SENSAN and Global Optimisers","author":"Doherty","year":"2018"},{"key":"10.1016\/j.envsoft.2022.105494_bib9","series-title":"PEST Roadmaps Roadmap 10 : Model Calibration","author":"Doherty","year":"2021"},{"issue":"11","key":"10.1016\/j.envsoft.2022.105494_bib10","doi-asserted-by":"crossref","first-page":"4513","DOI":"10.1073\/pnas.0708300105","article-title":"Corn-based ethanol production compromises goal of reducing nitrogen export by the Mississippi River","volume":"105","author":"Donner","year":"2008","journal-title":"Proc. Natl. Acad. Sci. U. S. A"},{"key":"10.1016\/j.envsoft.2022.105494_bib11","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.biosystemseng.2017.02.001","article-title":"Characterising effects of management practices, snow cover, and soil texture on soil temperature: model development in DNDC","volume":"168","author":"Dutta","year":"2018","journal-title":"Biosyst. Eng."},{"key":"10.1016\/j.envsoft.2022.105494_bib12","series-title":"Winter Management of Maize Paddocks","author":"Francis","year":"2006"},{"issue":"4","key":"10.1016\/j.envsoft.2022.105494_bib13","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/S0022-1694(03)00191-4","article-title":"Coupled inverse modelling of groundwater flow and mass transport and the worth of concentration data","volume":"281","author":"Franssen","year":"2003","journal-title":"J. Hydrol."},{"issue":"1","key":"10.1016\/j.envsoft.2022.105494_bib14","first-page":"65","article-title":"Effect of Parameter Distributions on Uncertainty Analysis of Hydrological Models","volume":"41","author":"Haan","year":"1998","journal-title":"Biosys. Agric.Eng."},{"key":"10.1016\/j.envsoft.2022.105494_bib15","article-title":"Corn-maturity calculations detailed","author":"Halopka","year":"2018","journal-title":"Rops Soil Agent Clark Count. Univ. Wisconsin Extension"},{"key":"10.1016\/j.envsoft.2022.105494_bib16","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.agsy.2017.01.025","article-title":"Estimating the impacts of climate change on crop yields and N2O emissions for conventional and no-tillage in Southwestern Ontario, Canada","volume":"159","author":"He","year":"2018","journal-title":"Agric. Syst."},{"issue":"4","key":"10.1016\/j.envsoft.2022.105494_bib17","doi-asserted-by":"crossref","first-page":"1016","DOI":"10.2134\/jeq2018.11.0414","article-title":"Understanding the fertilizer management impacts on water and nitrogen dynamics for a corn silage tile-drained system in Canada","volume":"48","author":"He","year":"2019","journal-title":"J. Environ. Qual."},{"issue":"1","key":"10.1016\/j.envsoft.2022.105494_bib18","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/S0951-8320(03)00058-9","article-title":"Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems","volume":"81","author":"Helton","year":"2003","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.envsoft.2022.105494_bib19","series-title":"Documentation of UCODE, a Computer Code for Universal Inverse Modeling","author":"Hill","year":"1998"},{"issue":"March","key":"10.1016\/j.envsoft.2022.105494_bib20","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.agsy.2019.05.005","article-title":"Assessing nitrous oxide and nitrate leaching mitigation potential in US corn crop systems using the DNDC model","volume":"175","author":"Ingraham","year":"2019","journal-title":"Agric. Syst."},{"key":"10.1016\/j.envsoft.2022.105494_bib21","volume":"vol. 61","year":"2012"},{"key":"10.1016\/j.envsoft.2022.105494_bib22","series-title":"Development and Application of the EPIC Model for Carbon Cycle, Greenhouse-Gas Mitigation, and Biofuel Studies-PNNL-SA-83721","author":"Izaurralde","year":"2012"},{"issue":"15","key":"10.1016\/j.envsoft.2022.105494_bib23","doi-asserted-by":"crossref","first-page":"4505","DOI":"10.1007\/s11269-010-9670-4","article-title":"Development and integration of sub-hourly rainfall\u2013runoff modeling capability within a watershed model","volume":"24","author":"Jeong","year":"2010","journal-title":"Water Resour. Manag."},{"key":"10.1016\/j.envsoft.2022.105494_bib24","series-title":"CERES-N Maize: A Simulation Model of Maize Growth and Development","author":"Jones","year":"1986"},{"key":"10.1016\/j.envsoft.2022.105494_bib25","article-title":"The effect of crop residues on soil nitrogen dynamics and wheat yield","volume":"1","author":"Kamkar","year":"2014","journal-title":"Adv. Plant Agric. Res."},{"issue":"1\u20132","key":"10.1016\/j.envsoft.2022.105494_bib26","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jconhyd.2006.01.001","article-title":"Multi-process herbicide transport in structured soil columns: experiments and model analysis","volume":"85","author":"K\u00f6hne","year":"2006","journal-title":"J. Contam. Hydrol."},{"issue":"4","key":"10.1016\/j.envsoft.2022.105494_bib27","doi-asserted-by":"crossref","first-page":"503","DOI":"10.4141\/cjss2010-059","article-title":"Development and evaluation of a new Canadian spring wheat sub-model for DNDC","volume":"91","author":"Kr\u00f6bel","year":"2011","journal-title":"Can. J. Soil Sci."},{"issue":"1\u20132","key":"10.1016\/j.envsoft.2022.105494_bib28","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.ecolmodel.2007.02.007","article-title":"Modelling N2O emission from a forest upland soil: a procedure for an automatic calibration of the biogeochemical model Forest-DNDC","volume":"205","author":"Lamers","year":"2007","journal-title":"Ecol. Model."},{"issue":"D9","key":"10.1016\/j.envsoft.2022.105494_bib29","doi-asserted-by":"crossref","first-page":"9759","DOI":"10.1029\/92JD00509","article-title":"A model of nitrous oxide evolution from soil driven by rainfall events: 1. Model structure and sensitivity","volume":"97","author":"Li","year":"1992","journal-title":"J. Geophys. Res."},{"issue":"D4","key":"10.1016\/j.envsoft.2022.105494_bib30","doi-asserted-by":"crossref","first-page":"4369","DOI":"10.1029\/1999JD900949","article-title":"A process\u2010oriented model of N2O and NO emissions from forest soils: 1. Model development.pdf","volume":"105","author":"Li","year":"2000","journal-title":"J. Geophys. Res."},{"issue":"1\u20132","key":"10.1016\/j.envsoft.2022.105494_bib31","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.ecolmodel.2006.02.007","article-title":"Modeling nitrate leaching with a biogeochemical model modified based on observations in a row-crop field in Iowa","volume":"196","author":"Li","year":"2006","journal-title":"Ecol. Model."},{"issue":"2","key":"10.1016\/j.envsoft.2022.105494_bib32","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s10705-012-9507-z","article-title":"Manure-DNDC: a biogeochemical process model for quantifying greenhouse gas and ammonia emissions from livestock manure systems","volume":"93","author":"Li","year":"2012","journal-title":"Nutrient Cycl. Agroecosyst."},{"issue":"1","key":"10.1016\/j.envsoft.2022.105494_bib33","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.geoderma.2014.01.002","article-title":"Calibration of DNDC model for nitrate leaching from an intensively cultivated region of Northern China","volume":"223\u2013225","author":"Li","year":"2014","journal-title":"Geoderma"},{"key":"10.1016\/j.envsoft.2022.105494_bib34","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.compag.2017.09.010","article-title":"Global sensitivity and uncertainty analysis of nitrate leaching and crop yield simulation under different water and nitrogen management practices","volume":"142","author":"Liang","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.envsoft.2022.105494_bib35","series-title":"GREET\u00ae Analysis for TERRA\/ROOTS Success Scenarios","author":"Liu","year":"2019"},{"key":"10.1016\/j.envsoft.2022.105494_bib36","doi-asserted-by":"crossref","DOI":"10.1016\/j.agwat.2021.107325","article-title":"Soil nitrate leaching of tea plantation and its responses to seasonal drought and wetness scenarios","volume":"260","author":"Liu","year":"2022","journal-title":"Agric. Water Manag."},{"issue":"1","key":"10.1016\/j.envsoft.2022.105494_bib37","first-page":"39","article-title":"Evaluation of RZWQM under varying irrigation levels in eastern Colorado","volume":"46","author":"Ma","year":"2003","journal-title":"Trans ASAE"},{"issue":"5","key":"10.1016\/j.envsoft.2022.105494_bib38","doi-asserted-by":"crossref","first-page":"1711","DOI":"10.2134\/jeq2009.0425","article-title":"Soil-test N recommendations augmented with PEST-optimized RZWQM simulations","volume":"39","author":"Malone","year":"2010","journal-title":"J. Environ. Qual."},{"key":"10.1016\/j.envsoft.2022.105494_bib39","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.agwat.2013.09.009","article-title":"Effects of tillage and application rate on atrazine transport to subsurface drainage : evaluation of RZWQM using a six-year field study","volume":"132","author":"Malone","year":"2014","journal-title":"Agric. Water Manag."},{"issue":"2","key":"10.1016\/j.envsoft.2022.105494_bib40","first-page":"239","article-title":"Comparison of three methods for selecting values of input variables in the analysis of output from a computer code","volume":"21","author":"McKay","year":"1979","journal-title":"Technometrics"},{"issue":"1","key":"10.1016\/j.envsoft.2022.105494_bib41","doi-asserted-by":"crossref","first-page":"e1499","DOI":"10.1002\/wat2.1499","article-title":"A review of hydrologic signatures and their applications","volume":"8","author":"McMillan","year":"2021","journal-title":"WIREs Water"},{"key":"10.1016\/j.envsoft.2022.105494_bib42","series-title":"Soil Water Assessment Tool (SWAT). 1\u201321","author":"Miskewitz","year":"2007"},{"issue":"6","key":"10.1016\/j.envsoft.2022.105494_bib43","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.13031\/trans.58.11075","article-title":"Hydrologic and water quality models: key calibration and validation topics","volume":"58","author":"Moriasi","year":"2015","journal-title":"Trans. ASABE"},{"issue":"16","key":"10.1016\/j.envsoft.2022.105494_bib44","doi-asserted-by":"crossref","DOI":"10.3390\/w13162238","article-title":"Multi-step calibration approach for SWAT model using soil moisture and crop yields in a small agricultural catchment","volume":"13","author":"Musyoka","year":"2021","journal-title":"Water"},{"key":"10.1016\/j.envsoft.2022.105494_bib45","series-title":"The Power Project","year":"2021"},{"key":"10.1016\/j.envsoft.2022.105494_bib46","series-title":"Annual Maps","year":"2019"},{"key":"10.1016\/j.envsoft.2022.105494_bib47","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.envsoft.2014.12.011","article-title":"Understanding the DayCent model: calibration, sensitivity, and identifiability through inverse modeling","volume":"66","author":"Necp\u00e1lov\u00e1","year":"2015","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2022.105494_bib48","series-title":"PRISM Climate Data","year":"2021"},{"key":"10.1016\/j.envsoft.2022.105494_bib49","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/S0921-8181(98)00040-X","article-title":"DAYCENT and its land surface submodel: description and testing","author":"Parton","year":"1998","journal-title":"Global Planet. Change"},{"issue":"6","key":"10.1016\/j.envsoft.2022.105494_bib50","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1007\/s10661-020-08338-7","article-title":"Automated calibration of the EPA-SWMM model for a small suburban catchment using PEST: a case study","volume":"192","author":"Perin","year":"2020","journal-title":"Environ. Monit. Assess."},{"key":"10.1016\/j.envsoft.2022.105494_bib51","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.envsoft.2013.07.002","article-title":"Modelling agricultural nitrous oxide emissions for large regions","volume":"48","author":"Perlman","year":"2013","journal-title":"Environ. Model. Software"},{"issue":"3\u20134","key":"10.1016\/j.envsoft.2022.105494_bib52","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.geoderma.2010.02.003","article-title":"Geoderma A critical review of the conventional SOC to SOM conversion factor","volume":"156","author":"Pribyl","year":"2010","journal-title":"Geoderma"},{"key":"10.1016\/j.envsoft.2022.105494_bib53","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.envsoft.2013.01.005","article-title":"A long-term sensitivity analysis of the denitrification and decomposition model","volume":"43","author":"Qin","year":"2013","journal-title":"Environ. Model. Software"},{"issue":"9","key":"10.1016\/j.envsoft.2022.105494_bib54","doi-asserted-by":"crossref","DOI":"10.1007\/s11270-013-1677-z","article-title":"Nitrous oxide emissions from cropland: a procedure for calibrating the daycent biogeochemical model using inverse modelling","volume":"224","author":"Rafique","year":"2013","journal-title":"Water Air Soil Pollut."},{"key":"10.1016\/j.envsoft.2022.105494_bib55","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.gloplacha.2014.05.001","article-title":"Estimation of greenhouse gases (N2O, CH4 and CO2) from no-till cropland under increased temperature and altered precipitation regime: a DAYCENT model approach","volume":"118","author":"Rafique","year":"2014","journal-title":"Global Planet. Change"},{"issue":"10","key":"10.1016\/j.envsoft.2022.105494_bib56","doi-asserted-by":"crossref","first-page":"3104","DOI":"10.1029\/2019JG005110","article-title":"Decadal shift in nitrogen inputs and fluxes across the contiguous United States: 2002\u20132012","volume":"124","author":"Sabo","year":"2019","journal-title":"J. Geophys. Res.: Biogeosciences"},{"issue":"1\u20134","key":"10.1016\/j.envsoft.2022.105494_bib57","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.jhydrol.2005.01.004","article-title":"Sensitivity analyses of a distributed catchment model to verify the model structure","volume":"310","author":"Sieber","year":"2005","journal-title":"J. Hydrol."},{"key":"10.1016\/j.envsoft.2022.105494_bib58","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.agee.2013.08.015","article-title":"Assessing the effects of climate change on crop production and GHG emissions in Canada","volume":"179","author":"Smith","year":"2013","journal-title":"Agric. Ecosyst. Environ."},{"key":"10.1016\/j.envsoft.2022.105494_bib59","series-title":"2019 ASABE Annual International Meeting, July","first-page":"3","article-title":"Towards Improving the DNDC model for simulating soil hydrology and tile drainage","author":"Smith","year":"2019"},{"key":"10.1016\/j.envsoft.2022.105494_bib60","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2019.104577","article-title":"Development of the DNDC model to improve soil hydrology and incorporate mechanistic tile drainage: a comparative analysis with RZWQM2","volume":"123","author":"Smith","year":"2020","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2022.105494_bib61","first-page":"36","article-title":"Soil carbon and nitrogen ratio in different land use","author":"Swangjang","year":"2015","journal-title":"Int. Conf. Adv. Environ. Res."},{"key":"10.1016\/j.envsoft.2022.105494_bib62","volume":"vol. 88","author":"Swiler","year":"1998"},{"key":"10.1016\/j.envsoft.2022.105494_bib63","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.scitotenv.2017.12.208","article-title":"A regional scale modeling framework combining biogeochemical model with life cycle and economic analysis for integrated assessment of cropping systems","volume":"625","author":"Tabatabaie","year":"2018","journal-title":"Sci. Total Environ."},{"issue":"2","key":"10.1016\/j.envsoft.2022.105494_bib64","doi-asserted-by":"crossref","first-page":"793","DOI":"10.5194\/hess-11-793-2007","article-title":"Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation","volume":"11","author":"Tang","year":"2007","journal-title":"Hydrol. Earth Syst. Sci."},{"issue":"1","key":"10.1016\/j.envsoft.2022.105494_bib65","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1007\/s10705-006-9076-0","article-title":"Application of the DNDC model to tile-drained Illinois agroecosystems: model calibration, validation, and uncertainty analysis","volume":"78","author":"Tonitto","year":"2007","journal-title":"Nutrient Cycl. Agroecosyst."},{"issue":"6","key":"10.1016\/j.envsoft.2022.105494_bib66","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.1111\/gcbb.12210","article-title":"Perennial rhizomatous grasses as bioenergy feedstock in SWAT: parameter development and model improvement","volume":"7","author":"Trybula","year":"2015","journal-title":"GCB Bioenergy"},{"key":"10.1016\/j.envsoft.2022.105494_bib67","series-title":"Web Soil Survey. Natural Resources Conservation Service","year":"2015"},{"key":"10.1016\/j.envsoft.2022.105494_bib68","unstructured":"User Guide DNDCv CAN. (2020)."},{"issue":"3","key":"10.1016\/j.envsoft.2022.105494_bib69","doi-asserted-by":"crossref","first-page":"1041","DOI":"10.13031\/2013.18515","article-title":"Sensitivity and uncertainty analyses of crop yields and soil organic carbon simulated with EPIC","volume":"48","author":"Wang","year":"2005","journal-title":"Trans. ASAE (Am. Soc. Agric. Eng.)"},{"issue":"8","key":"10.1016\/j.envsoft.2022.105494_bib70","doi-asserted-by":"crossref","first-page":"3523","DOI":"10.5194\/gmd-12-3523-2019","article-title":"A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States","volume":"12","author":"Wang","year":"2019","journal-title":"Geosci. Model Dev. (GMD)"},{"key":"10.1016\/j.envsoft.2022.105494_bib71","series-title":"Environmental Hydrology (Issue 2015","first-page":"161","article-title":"Runoff and drainage","author":"Ward","year":"2015"},{"key":"10.1016\/j.envsoft.2022.105494_bib72","author":"Williams"},{"key":"10.1016\/j.envsoft.2022.105494_bib73","doi-asserted-by":"crossref","DOI":"10.1016\/j.agwat.2019.105904","article-title":"Exploring optimal irrigation and nitrogen fertilization in a winter wheat-summer maize rotation system for improving crop yield and reducing water and nitrogen leaching","volume":"228","author":"Xu","year":"2020","journal-title":"Agric. Water Manag."},{"key":"10.1016\/j.envsoft.2022.105494_bib74","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.scitotenv.2015.02.022","article-title":"Identifying critical nitrogen application rate for maize yield and nitrate leaching in a Haplic Luvisol soil using the DNDC model","volume":"514","author":"Zhang","year":"2015","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.envsoft.2022.105494_bib75","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2021.112640","article-title":"Exploring management strategies to improve yield and mitigate nitrate leaching in a typical radish field in northern China","volume":"290","author":"Zhang","year":"2021","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.envsoft.2022.105494_bib76","doi-asserted-by":"crossref","DOI":"10.1016\/j.geoderma.2020.114701","article-title":"Assessing impacts of nitrogen management on nitrous oxide emissions and nitrate leaching from greenhouse vegetable systems using a biogeochemical model","volume":"382","author":"Zhang","year":"2021","journal-title":"Geoderma"},{"key":"10.1016\/j.envsoft.2022.105494_bib77","series-title":"Annual Meeting of the German Society for Photogrammetry, Remote Sensing and Geoinformation","article-title":"Regional application of the site-specific biochemical process-based crop model DNDC for rice in NE-China","volume":"vol. 35","author":"Zhao","year":"2015"},{"key":"10.1016\/j.envsoft.2022.105494_bib78","doi-asserted-by":"crossref","DOI":"10.1016\/j.still.2020.104587","article-title":"Impacts of fertilization optimization on N loss from paddy fields: observations and DNDC modeling case study in Shanghai, China","volume":"199","author":"Zhao","year":"2020","journal-title":"Soil Tillage Res."}],"container-title":["Environmental Modelling & Software"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815222001979?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815222001979?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,16]],"date-time":"2024-05-16T13:55:28Z","timestamp":1715867728000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1364815222001979"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":78,"alternative-id":["S1364815222001979"],"URL":"https:\/\/doi.org\/10.1016\/j.envsoft.2022.105494","relation":{},"ISSN":["1364-8152"],"issn-type":[{"value":"1364-8152","type":"print"}],"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Development of a calibration approach using DNDC and PEST for improving estimates of management impacts on water and nutrient dynamics in an agricultural system","name":"articletitle","label":"Article Title"},{"value":"Environmental Modelling & Software","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.envsoft.2022.105494","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"105494"}}