Improved APEX Model Simulation of Buffer Water Quality Benefits at Field Scale

Senaviratne, G.M.M.M. Anomaa; Baffaut, Claire; Lory, John A.; Udawatta, Ranjith P.; Nelson, Nathan O.; Williams, J. R.; Anderson, Stephen H.

doi:10.13031/trans.12655

Cited by 13 publications

(8 citation statements)

References 56 publications

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“…The first approach requires a precise spatial definition of the buffer zones and their hydrological relationship with the surfaces that are the source of the eroded material. The model requires a definition of strip width, vegetation type, soil conditions, topographic features (slope, roughness), proportion of concentrated stream flowing through the strip, vegetation growth, and buffer strip management (cutting, fertilization, irrigation) [42]. In the second, more straightforward approach, chosen for this scenario, we created virtual buffer strips, which can be placed in any sub-area without knowing their exact locations.…”

Section: Vegetative Buffer Strips (Vbs6 Vbs56)mentioning

confidence: 99%

Modelling Impacts of a Municipal Spatial Plan of Land-Use Changes on Surface Water Quality—Example from Goriška Brda in Slovenia

Glavan

Bele

Curk

et al. 2020

Water

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Intensive agriculture causes nutrient leaching and accelerates erosion processes, which threatens the good quality status of surface waters, as proposed by the European Union (EU) Water Framework Directive. The purpose of this study was to define the impact of two alternative agricultural land-use change scenarios defined in a Municipal Spatial Plan on surface water quality by using the Agricultural Policy/Environmental eXtender (APEX) model. As experimental area, we chose a small Kožbanjšček stream catchment (1464 ha) situated in the Goriška Brda region in Slovenia. The area, due to favorable conditions for vineyards, is facing increasing deforestation. The change of 66.3 ha of forests to vineyards would increase the sediment, nitrate, and phosphorus loads in the stream by 24.8%, 17.1%, and 10.7%, respectively. With the implementation of vegetative buffer strips as a mitigation measure of the current situation, we could reduce the sediment, nitrate, and phosphorus loads by 17.9%, 11.1%, and 3.1%, respectively, while a combination of the two land-use change scenarios would result in a slight increase of the above-mentioned loads, corresponding to 0.61%, 2.1%, and 6.6%, respectively, compared to the baseline situation. The results confirm that, as we can increase pollution levels with deforestation, we can also reduce water pollution by choosing proper types of land management measures.

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Section: Vegetative Buffer Strips (Vbs6 Vbs56)mentioning

confidence: 99%

Modelling Impacts of a Municipal Spatial Plan of Land-Use Changes on Surface Water Quality—Example from Goriška Brda in Slovenia

Glavan

Bele

Curk

et al. 2020

Water

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“…Senaviratne et al. (2018) upgraded the APEX code and introduced subarea‐specific floodplain values of saturated hydraulic conductivity instead of a common value for the whole watershed. This improved the simulation of infiltration in the buffer and, consequently, the accuracy of effectiveness of conservation practices (i.e., upland buffer) using APEX.…”

Section: Roles Of Modeling In Evaluation Of Best Management Practicesmentioning

confidence: 99%

“…For example, Senaviratne et al. (2018) evaluated upland buffer effectiveness to reduce runoff, sediment, and TP loads based on the observed data. Although the calibration using observed no‐buffer data was successful, its simulation of buffer effectiveness was overestimated.…”

Section: Roles Of Modeling In Evaluation Of Best Management Practicesmentioning

confidence: 99%

Modeling of phosphorus loss from field to watershed: A review

et al. 2020

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Phosphorus (P) losses from nonpoint sources into surface water resources through surface runoff and tile drainage play a significant role in eutrophication. Accordingly, the number of studies involving the modeling of agricultural P losses, the uncertainties of such models, and the best management practices (BMPs) supported by the modeling of hypothetical P loss reduction scenarios has increased significantly around the world. Many improvements have been made to these models: separate manure P pools, variable source areas allowing the determination of critical source areas of P loss, analyses of modeling uncertainties, and understanding of legacy P. However, several elements are still missing or have yet to be sufficiently addressed: the incorporation of preferential flow into models, the modification of P sorption-desorption processes considering recent research data (e.g., pedotransfer functions for labile, active, or stable P, along with P sorption coefficients), BMP parameterization, and scale-up issues, as well as stakeholder-scientist and experimentalist-modeler interactions. The accuracy of P loss modeling can be improved by (a) incorporating dynamic P sorptiondesorption processes and new P subroutines for direct P loss from manure, fertilizer, and dung, (b) modeling preferential flow, connectivity between field and adjacent water bodies, and P in-stream processes, (c) including an assessment of model uncertainty, (d) integrating field and watershed models for BMP calibration and scaling field results up to larger areas, and (e) building a holistic interaction between stakeholders, experimentalists, and modelers.

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“…Each soil sample in the database is an aggregate of 20 soil cores. Additional information about management, data collection, and modeling of these sites can be found in Udawatta et al (2002, 2004, 2011) and Senaviratne et al (2014, 2018b).…”

Section: Major Characteristics Of the Datasetmentioning

confidence: 99%

“…Similarly, Forsberg et al (2017) found significant improvements in P loss predictions with TBET for the southern region when runoff and erosion were calibrated. Additional studies using the Heartland data showed that better results for total P were obtained between watersheds with a greater degree of ecohydrological similarity, including closer distance between them (Senaviratne et al, 2018a), and when well calibrated, APEX was found to be a good predictor of buffer effects on total P loads (Senaviratne et al, 2018b). We foresee these data being used to address similar questions with different models.…”

Section: Potential Uses Of Databasementioning

confidence: 99%

Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields

et al. 2019

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Computer models are commonly used for predicting risks of runoff P loss from agricultural fields by enabling simulation of various management practices and climatic scenarios. For P loss models to be useful tools, however, they must accurately predict P loss for a wide range of climatic, physiographic, and land management conditions. A complicating factor in developing and evaluating P loss models is the relative scarcity of available measured field data that adequately capture P losses before and after implementing management practices in a variety of physiographic settings. Here, we describe the development of the P Loss in runoff Events from Agricultural fields Database (PLEAD)-a compilation of event-based, field-scale dissolved and/or total P loss runoff loadings from agricultural fields collected at various research sites located in the US Heartland and southern United States. The database also includes runoff and erosion rates; soil-test P; tillage practices; planting and harvesting rates and practices; fertilizer application rate, method, and timing; manure application rate, method, and timing; and livestock grazing density and timing. In total, >1800 individual runoff events-ranging in duration from 0.4 to 97 h-have been included in the database. Event runoff P losses ranged from <0.05 to 1.3 and 3.0 kg P ha −1 for dissolved and total P, respectively. DATASETS Core Ideas• Development of database containing P loss from agricultural fields is described.• We provide public access to P loss data for individual runoff events.• The data can be used to evaluate P loss models and P Indices.

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Improved APEX Model Simulation of Buffer Water Quality Benefits at Field Scale

Cited by 13 publications

References 56 publications

Modelling Impacts of a Municipal Spatial Plan of Land-Use Changes on Surface Water Quality—Example from Goriška Brda in Slovenia

Modelling Impacts of a Municipal Spatial Plan of Land-Use Changes on Surface Water Quality—Example from Goriška Brda in Slovenia

Modeling of phosphorus loss from field to watershed: A review

Development of PLEAD: A Database Containing Event‐based Runoff Phosphorus Loadings from Agricultural Fields

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