Modelling nutrient transport in Currency Creek, NSW with AnnAGNPS and PEST

Baginska, Barbara; Milne-Home, William; Cornish, Peter S

doi:10.1016/s1364-8152(03)00079-3

Cited by 102 publications

(74 citation statements)

References 12 publications

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“…Through a continuous simulation of runoff, sediment and pollutant loadings from watersheds, conservation programs can be evaluated. Many studies have demonstrated AnnAGNPS's capability in predicting runoff, sediment and N losses on various time scales [14][15][16][17][18][19]. However, all those AnnAGNPS applications were performed at relatively small watersheds, for which the watershed can be delineated as detail as needed to account for the variation of land-use and soil as well as for the need of implementing conservation practices while remaining computationally feasible.…”

Section: Introductionmentioning

confidence: 99%

AnnAGNPS Model Application for Nitrogen Loading Assessment for the Future Midwest Landscape Study

Yuan

Mehaffey

Lopez

et al. 2011

Water

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Abstract:The Future Midwest Landscape (FML) project is part of the US Environmental Protection Agency (EPA)'s new Ecosystem Services Research Program, undertaken to examine the variety of ways in which landscapes that include crop lands, conservation areas, wetlands, lakes, and streams affect human well-being. The goal of the FML project is to quantify current and future ecosystem services across the region and to examine changes expected to occur as a result of the growing demand for biofuels. This study is one of several pilots taking place under the umbrella of the FML research project. In this study, the USDA Annualized Agricultural Non-Point Source Pollution (AnnAGNPS) model was applied to the East Fork Kaskaskia River watershed (289. future biofuel target were also simulated and analyzed. All delineations of the study area (coarser to finer) produced satisfactory results in simulating monthly and annual runoff. However, the size of the delineation does impact the simulation results. Finer delineations better represented the actual landscape and captured small critical areas that would be homogenized in coarser delineation. Those small critical areas are important to target to achieve maximum environment benefit. Simulations of alternative future scenarios showed that as corn production increases to meet future biofuel needs, total nitrogen loss increases. For this watershed, total N loss would be more than doubled if converting all corn/soybean rotation (15,871.2 ha) to continuous corn comparing with the base year total N loss which is 11.2 kg/ha. Conservation practices are needed to reduce total nitrogen loss from the watershed. This study provides an important foundation for the larger FML region modeling effort by addressing challenging FML landscape modeling issues such as model selection, need for further model development, and spatial resolution.

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Section: Introductionmentioning

confidence: 99%

AnnAGNPS Model Application for Nitrogen Loading Assessment for the Future Midwest Landscape Study

Yuan

Mehaffey

Lopez

et al. 2011

Water

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“…Through a continuous simulation of runoff, sediment, and pollutant loadings from watersheds, BMPs or conservation programs can be evaluated. Many studies have evaluated AnnAGNPS's capability in predicting runoff and sediment (Yuan et al 2001;Suttles et al 2003;Baginska et al 2003;Shrestha et al 2006;Licciardello et al 2007). Yuan et al (2001) applied AnnAGNPS to the Deep Hollow Lake watershed in the Mississippi Delta and found that the simulated monthly runoff and sediment were well-correlated with observed values (r 2 = 0.9 for runoff and 0.7 for sediment).…”

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confidence: 99%

Annualized Agricultural Non-Point Source model application for Mississippi Delta Beasley Lake watershed conservation practices assessment

Yuan¹,

Locke²,

Bingner³

2008

Journal of Soil and Water Conservation

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Abstract:The Annualized Agricultural Non-Point Source (AnnAGNPS) model has been developed to quantify watershed response to agricultural management practices. The objective of this study was to identify critical areas where conservation practices could be implemented and to predict their impact on Beasley Lake water quality in the Mississippi Delta using AnnAGNPS. Model evaluation was first performed by comparing the observed runoff and sediment from a US Geological Survey gauging station draining 7 ha (17 ac) of Beasley Lake watershed with the AnnAGNPS simulated runoff and sediment. The model demonstrated satisfactory capability in simulating runoff and sediment at an event scale. Without calibration, the Nash-Sutcliffe coefficient of efficiency was 0.81 for runoff and 0.54 for sediment; the relative error was 0.1 for runoff and 0.18 for sediment, and the Willmott index of agreement was 0.94 for runoff and 0.80 for sediment. The quantity of water and sediment produced from each field within the Beasley Lake watershed, quantity of water and sediment reaching Beasley Lake, and the potential impact of various USDA Natural Resources Conservation Service conservation programs on water quality were then simulated. High sedimentproducing areas for nonpoint source pollution control were identified where sediment loads could be reduced by 15% to 77% using conservation practices. Simulations predicted that converting all cropland to no-till soybeans (Glycine max [L.] Merr.) would reduce sediment load by 77% whereas no-till cotton (Gossypium hirsutum L.) would reduce it 64%. The approach taken in this study could be used elsewhere in applying AnnAGNPS to ungauged watersheds or watersheds with limited field observations for conservation program planning or evaluation.

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“…The AnnAGNPS model Yuan, 2003) has been evaluated for hydrology simulations and water quality prediction worldwide under different land uses and climate conditions (Baginska;Milne-Home;Cornish, 2003;Chahor et al, 2014;Li et al, 2015;Li, 2012;Hua et al, 2012;Licciardello et al, 2007;Parajuli et al, 2009;Polyakov et al, 2007;Shamshad et al, 2008;Shrestha et al, 2006;Taguas et al, 2012;Yuan et al, 2011;Rebich, 2001). Li et al (2015) In tropical conditions, Shamshad et al (2008) applied the AnnAGNPS model for soil loss estimation and nutrient loading for watersheds in Malaysia.…”

Section: Annualized Agricultural Non-point Source (Annagnps)mentioning

confidence: 99%

Agricultural watershed modeling: a review for hydrology and soil erosion processes

et al. 2016

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Models have been used by man for thousands of years to control his environment in a favorable way to better human living conditions. The use of hydrologic models has been a widely effective tool in order to support decision makers dealing with watersheds related to several economic and social activities, like public water supply, energy generation, and water availability for agriculture, among others. The purpose of this review is to briefly discuss some models on soil and water movement on landscapes (RUSLE, WEPP, GeoWEPP, LASH, DHSVM and AnnAGNPS) to provide information about them to help and serve in a proper manner in order to discuss particular problems related to hydrology and soil erosion processes. Models have been changed and evaluated significantly in recent years, highlighting the use of remote sense, GIS and automatic calibration process, allowing them capable of simulating watersheds under a given land-use and climate change effects. However, hydrology models have almost the same physical structure, which is not enough for simulating problems related to the long-term effects of different land-uses. That has been our challenge for next future: to understand entirely the hydrology cycle, having as reference the critical zone, in which the hydrological processes act together from canopy to the bottom of aquifers.Index terms: RUSLE; WEPP; GeoWEPP; LASH; DHSVM; AnnAGNPS. RESUMOModelos têm sido usados pelo homem há milhares de anos para controlar seu ambiente de uma maneira favorável para melhores condições de vida para os humanos. O uso de modelos hidrológicos tem sido uma ferramenta muito eficaz para apoiar os decisores que lidam com as bacias hidrográficas para subsidiar diversas atividades econômicas e sociais, como o abastecimento público de água, geração de energia, e a disponibilidade de água para a agricultura, entre outros. Objetivou-se, nesta revisão, discutir brevemente alguns modelos muito aplicados ao estudo do movimento da água e solos em paisagens (RUSLE, WEPP, GeoWEPP, LASH, DHSVM and AnnAGNPS), para fornecer informações sobre os mesmos, para auxiliar no entendimento adequado de problemas específicos relacionados com os processos de hidrologia e erosão do solo. Modelos têm sido alterados e avaliados de forma significativa nos últimos anos, com destaque para o uso de sensoriamento remoto, GIS e processo de calibração automática, permitindo aos mesmos que sejam capazes de simular bacias hidrográficas nas suas condições atuais de uso do solo e mudanças climáticas. No entanto, os modelos hidrológicos têm quase a mesma estrutura física, o que não é suficiente para simular problemas relacionados com os efeitos a longo prazo de diferentes usos do solo. Esse tem sido um dos principais desafios para o futuro: compreender inteiramente o ciclo hidrológico, tendo como referência a zona crítica, na qual os processos hidrológicos agem em conjunto a partir do dossel até a base dos aquíferos.

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Modelling nutrient transport in Currency Creek, NSW with AnnAGNPS and PEST

Cited by 102 publications

References 12 publications

AnnAGNPS Model Application for Nitrogen Loading Assessment for the Future Midwest Landscape Study

AnnAGNPS Model Application for Nitrogen Loading Assessment for the Future Midwest Landscape Study

Annualized Agricultural Non-Point Source model application for Mississippi Delta Beasley Lake watershed conservation practices assessment

Agricultural watershed modeling: a review for hydrology and soil erosion processes

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