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Multisite Evaluation of APEX for Water Quality: II. Regional Parameterization
Author(s) -
Nelson Nathan O.,
Baffaut Claire,
Lory John A.,
Anomaa Senaviratne G.M.M.M.,
Bhandari Ammar B.,
Udawatta Ranjith P.,
Sweeney Daniel W.,
Helmers Matt J.,
Van Liew Mike W.,
Mallarino Antonio P.,
Wortmann Charles S.
Publication year - 2017
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq2016.07.0254
Subject(s) - environmental science , surface runoff , sediment , calibration , hydrology (agriculture) , soil water , soil science , statistics , mathematics , geology , ecology , paleontology , geotechnical engineering , biology
Phosphorus (P) Index assessment requires independent estimates of long‐term average annual P loss from fields, representing multiple climatic scenarios, management practices, and landscape positions. Because currently available measured data are insufficient to evaluate P Index performance, calibrated and validated process‐based models have been proposed as tools to generate the required data. The objectives of this research were to develop a regional parameterization for the Agricultural Policy Environmental eXtender (APEX) model to estimate edge‐of‐field runoff, sediment, and P losses in restricted‐layer soils of Missouri and Kansas and to assess the performance of this parameterization using monitoring data from multiple sites in this region. Five site‐specific calibrated models (SSCM) from within the region were used to develop a regionally calibrated model (RCM), which was further calibrated and validated with measured data. Performance of the RCM was similar to that of the SSCMs for runoff simulation and had Nash–Sutcliffe efficiency (NSE) > 0.72 and absolute percent bias (|PBIAS|) < 18% for both calibration and validation. The RCM could not simulate sediment loss (NSE < 0, |PBIAS| > 90%) and was particularly ineffective at simulating sediment loss from locations with small sediment loads. The RCM had acceptable performance for simulation of total P loss (NSE > 0.74, |PBIAS| < 30%) but underperformed the SSCMs. Total P‐loss estimates should be used with caution due to poor simulation of sediment loss. Although we did not attain our goal of a robust regional parameterization of APEX for estimating sediment and total P losses, runoff estimates with the RCM were acceptable for P Index evaluation. Core Ideas Regionally calibrated APEX produced very good estimates of site‐specific runoff. Regionally calibrated APEX failed to adequately estimate sediment loss. Regionally calibrated APEX P‐loss estimates were worse than site‐specific models. APEX runoff estimates are adequate for rigorous evaluation of P Index runoff components. APEX sediment loss estimates are unsuitable for evaluation of P Index.