Evaluation of the Hydrologic Component of the ADAPT Water Table Management Model

Chung, Soo Young; Ward, Andrew; Schalk, Charles W.

doi:10.13031/2013.28635

Cited by 72 publications

(7 citation statements)

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“…Current widely used models that couple agricultural management to hydrology and water quality simulate either MEM or MDM pathways, or do not account for macropore flow at all (Chung et al, 1992;Youssef et al, 2005;Šimůnek et al, 2008;Blomback and Persson, 2009;Radcliffe et al, 2015). A recent review by Radcliffe et al (2015) highlights that ADAPT, HYDRUS, ICECREAMDB, and some P Indices incorporate field-scale macropore flow to some degree, while DRAINMOD, APEX, and PLEASE do not.…”

Section: Introductionmentioning

confidence: 99%

“…A recent review by Radcliffe et al (2015) highlights that ADAPT, HYDRUS, ICECREAMDB, and some P Indices incorporate field-scale macropore flow to some degree, while DRAINMOD, APEX, and PLEASE do not. The ADAPT model uses a simplistic description of MDM flow as a function of clay content and potential evapotranspiration demand deficiency, similar to the approach used in SWAT (Chung et al, 1992;Arnold et al, 2005). The HYDRUS and ICECREAMDB models simulate MEM flow with varying levels of complexity, from low-parameter approaches to dual-permeability numerical approximations of Richard's equations that require calibration of up to 16 parameters (Radcliffe et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Modified APEX model for Simulating Macropore Phosphorus Contributions to Tile Drains

Ford

King²,

Williams

et al. 2017

J of Env Quality

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The contribution of macropore flow to phosphorus (P) loadings in tile-drained agricultural landscapes remains poorly understood at the field scale, despite the recognized deleterious impacts of contaminant transport via macropore pathways. A new subroutine that couples existing matrix-excess and matrix-desiccation macropore flow theory and a modified P routine is implemented in the Agricultural Policy Environmental eXtender (APEX) model. The original and modified formulation were applied and evaluated for a case study in a poorly drained field in Western Ohio with 31 months of surface and subsurface monitoring data. Results highlighted that a macropore subroutine in APEX improved edge-of-field discharge calibration and validation for both tile and total discharge from satisfactory and good, respectively, to very good and improved dissolved reactive P load calibration and validation statistics for tile P loads from unsatisfactory to very good. Output from the calibrated macropore simulations suggested median annual matrix-desiccation macropore flow contributions of 48% and P load contributions of 43%, with the majority of loading occurring in winter and spring. While somewhat counterintuitive, the prominence of matrix-desiccation macropore flow during seasons with less cracking reflects the importance of coupled development of macropore pathways and adequate supply of the macropore flow source. The innovative features of the model allow for assessments of annual macropore P contributions to tile drainage and has the potential to inform P site assessment tools.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modified APEX model for Simulating Macropore Phosphorus Contributions to Tile Drains

Ford

King²,

Williams

et al. 2017

J of Env Quality

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“…According to a recent review, APEX, and many other major water quality models, do not account for macropores directly (Radcliffe et al, 2015). Models that have incorporated macropore considerations have either focused on saturation-excess conditions (Chung et al, 1992;Arnold et al, 2005) or unsaturated crack flow (Simunek and van Genuchten, 2008). The results of our study suggest that both may be potentially important in the midwestern tile-drained landscapes, and future work should test this hypothesis through model improvement and evaluation with multiyear datasets.…”

Section: Efficacy At Simulating P Dynamicsmentioning

confidence: 91%

Sensitivity Analysis of the Agricultural Policy/Environmental eXtender (APEX) for Phosphorus Loads in Tile-Drained Landscapes

et al. 2015

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Numerical modeling is an economical and feasible approach for quantifying the effects of best management practices on dissolved reactive phosphorus (DRP) loadings from agricultural fields. However, tools that simulate both surface and subsurface DRP pathways are limited and have not been robustly evaluated in tile-drained landscapes. The objectives of this study were to test the ability of the Agricultural Policy/Environmental eXtender (APEX), a widely used field-scale model, to simulate surface and tile P loadings over management, hydrologic, biologic, tile, and soil gradients and to better understand the behavior of P delivery at the edge-of-field in tile-drained midwestern landscapes. To do this, a global, variance-based sensitivity analysis was performed, and model outputs were compared with measured P loads obtained from 14 surface and subsurface edge-of-field sites across central and northwestern Ohio. Results of the sensitivity analysis showed that response variables for DRP were highly sensitive to coupled interactions between presumed important parameters, suggesting nonlinearity of DRP delivery at the edge-of-field. Comparison of model results to edge-of-field data showcased the ability of APEX to simulate surface and subsurface runoff and the associated DRP loading at monthly to annual timescales; however, some high DRP concentrations and fluxes were not reflected in the model, suggesting the presence of preferential flow. Results from this study provide new insights into baseline tile DRP loadings that exceed thresholds for algal proliferation. Further, negative feedbacks between surface and subsurface DRP delivery suggest caution is needed when implementing DRP-based best management practices designed for a specific flow pathway.

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“…These vary widely in their levels of complexity (rule-based, empirical-conceptual, causal, or process-based), spatial description (lumped or distributed), spatial scale (field to global), representation of the system (screening or detailed system assessment), and resource (data and time) requirements (Giupponi, 1995;Kronvang et al, 2009;Radcliffe et al, 2015). The models Chemicals, Runoff and Erosion from Agricultural Management Systems (CREAMS) (Knisel, 1980), Environmental Policy Integrated Climate (EPIC) (Williams et al, 1990), Soil and Water Assessment Tool (SWAT) (Arnold et al, 1998), AGricultural Non-Point Source Pollution (AGNPS) (Young et al, 1989), Simulateur mulTIdisciplinaire pour les Cultures Standard (STICS) (Brisson et al, 2003), Agricultural Drainage and Pesticide Transport (ADAPT) (Chung et al, 1992), Agricultural Policy Environmental Extender (APEX) (Williams and Izaurralde, 2010), DRAINMOD (Youssef et al, 2005), Hydrological Simulation Program-FORTRAN (HSPF) (Bicknell et al, 2005), HYDRUS (Šimůnek et al, 2008), ICECREAM (Tattari et al, 2001), Phosphorus LEAching from Soils to the Environment (PLEASE) (Schoumans et al, 2013), Nutrient Losses at Catchment Scale (NL-CAT) (Groenendijk et al, 2008), and Transport-Retention-Kallfordelning (TRK) (Brandt and Ejhed, 2002) are among the ones most commonly used capable of simulating diffuse pollution of nutrients and pesticides. DeNitrification-DeComposition (DNDC) (Li et al, 1992), CH4MOD (Huang et al, 1998), FarmGHG (Olesen et al, 2006), and the Integrated Farm System Model (IFSM) (Rotz et al, 2015) are examples of well-known models for estimating greenhouse gas emissions from land and livestock farms.…”

Section: Case Reference 3: Model-derived Agricultural Environmental Imentioning

confidence: 99%

Environmental Indicator Principium with Case References to Agricultural Soil, Water, and Air Quality and Model‐Derived Indicators

et al. 2018

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Environmental indicators are powerful tools for tracking environmental changes, measuring environmental performance, and informing policymakers. Many diverse environmental indicators, including agricultural environmental indicators, are currently in use or being developed. This special collection of technical papers expands on the peer-reviewed literature on environmental indicators and their application to important current issues in the following areas: (i) model-derived indicators to indicate phosphorus losses from arable land to surface runoff and subsurface drainage, (ii) glutathione-ascorbate cycle-related antioxidants as early-warning bioindicators of polybrominated diphenyl ether toxicity in mangroves, and (iii) assessing the effectiveness of using organic matrix biobeds to limit herbicide dissipation from agricultural fields, thereby controlling on-farm point-source pollution. This introductory review also provides an overview of environmental indicators, mainly for agriculture, with examples related to the quality of the agricultural soil-water-air continuum and the application of model-derived indicators. Current knowledge gaps and future lines of investigation are also discussed. It appears that environmental indicators, particularly those for agriculture, work efficiently at the field, catchment, and local scales and serve as valuable metrics of system functioning and response; however, these indicators need to be refined or further developed to comprehensively meet community expectations in terms of providing a consistent picture of relevant issues and/or allowing comparisons to be made nationally or internationally.

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Evaluation of the Hydrologic Component of the ADAPT Water Table Management Model

Cited by 72 publications

References 0 publications

Modified APEX model for Simulating Macropore Phosphorus Contributions to Tile Drains

Modified APEX model for Simulating Macropore Phosphorus Contributions to Tile Drains

Sensitivity Analysis of the Agricultural Policy/Environmental eXtender (APEX) for Phosphorus Loads in Tile-Drained Landscapes

Environmental Indicator Principium with Case References to Agricultural Soil, Water, and Air Quality and Model‐Derived Indicators

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