Influence of flow concentration on parameter importance and prediction uncertainty of pesticide trapping by vegetative filter strips

Fox, Garey A.; Muñoz‐Carpena, Rafael; Sabbagh, George J.

doi:10.1016/j.jhydrol.2010.01.020

Cited by 73 publications

(61 citation statements)

References 33 publications

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“…The correlations among hydrological or hydraulic parameters have important effects on the estimation of hydrological parameters, as well as significant effects on the predictions and associated uncertainties of hydrological modeling (Ahn, 1996;Pohlmann et al, 2002;Lemke et al, 2004;Manache and Melching, 2008;Pan et al, 2011). Understanding the contribution of each parameter and the joint contributions of correlated parameters to predictive uncertainties is also critical for uncertainty reduction (Rojas et al, 2009;Fox et al, 2010). The correlations among parameters may be strong in some cases (Xu and Gertner, 2007), but existing SA methods for hydrological models typically assume that parameters are independent (e.g., Li and Yeh, 1998;Boateng, 2007;Zhu et al, 2010;Zhan et al, 2013).…”

Section: Analysis Of Correlated Parameters In Hydrological Modelsmentioning

confidence: 99%

Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications

Song

Zhang

Zhan

et al. 2015

Journal of Hydrology

470

273

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s u m m a r y Sensitivity analysis (SA) aims to identify the key parameters that affect model performance and it plays important roles in model parameterization, calibration, optimization, and uncertainty quantification. However, the increasing complexity of hydrological models means that a large number of parameters need to be estimated. To better understand how these complex models work, efficient SA methods should be applied before the application of hydrological modeling. This study provides a comprehensive review of global SA methods in the field of hydrological modeling. The common definitions of SA and the typical categories of SA methods are described. A wide variety of global SA methods have been introduced to provide a more efficient evaluation framework for hydrological modeling. We review, analyze, and categorize research into global SA methods and their applications, with an emphasis on the research accomplished in the hydrological modeling field. The advantages and disadvantages are also discussed and summarized. An application framework and the typical practical steps involved in SA for hydrological modeling are outlined. Further discussions cover several important and often overlooked topics, including the relationship between parameter identification, uncertainty analysis, and optimization in hydrological modeling, how to deal with correlated parameters, and time-varying SA. Finally, some conclusions and guidance recommendations on SA in hydrological modeling are provided, as well as a list of important future research directions that may facilitate more robust analyses when assessing hydrological modeling performance.

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Section: Analysis Of Correlated Parameters In Hydrological Modelsmentioning

confidence: 99%

Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications

Song

Zhang

Zhan

et al. 2015

Journal of Hydrology

470

273

View full text Add to dashboard Cite

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“…The VFS is land areas of planted vegetation, usually grasses, installed at the edge of agricultural areas, or animal production facilities to filter nutrient, sediment, organics, pathogens, and pesticides from agricultural runoff before it reaches a water system such as streams or rivers. The VFS can be effective in reducing sediment and other pollutants [10], however the effectiveness is dependent on site-specific factors in the field [11,12]. These studies reported that the VFS can reduce pollutant loads by reducing velocity of surface flow from agricultural areas and causing infiltration.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Web GIS-Based VFSMOD System with Three Modules for Effective Vegetative Filter Strip Design

Park

Engel

Shin

et al. 2013

Water

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Abstract:In recent years, Non-Point Source Pollution has been rising as a significant environmental issue. The sediment-laden water problem is causing serious impacts on river ecosystems not only in South Korea but also in most countries. The vegetative filter strip (VFS) has been thought to be one of the most effective methods to reduce the transport of sediment to down-gradient area. However, the effective width of the VFS first needs to be determined before VFS installation in the field. To provide an easy-to-use interface with a scientific VFS modeling engine, the Web GIS-based VFSMOD system was developed in this study. The Web GIS-based VFSMOD uses the UH and VFSM executable programs from the VFSMOD-w model as core engines to simulate rainfall-runoff and sediment trapping. To provide soil information for a point of interest, OPEN ACCESSWater 2013, 5 1195 the Google Map interface to the MapServer soil database system was developed using the Google Map API, Javascript, Perl/CGI, and Oracle DB programming. Three modules of the Web GIS-based VFSMOD system were developed for various VFS designs under single storm, multiple storm, and long-term period scenarios. These modules in the Web GIS-based VFSMOD system were applied to the study watershed in South Korea and these were proven as efficient tools for the VFS design for various purposes.

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“…Although this modification is shown to provide acceptable results compared with a RE solution for a range of WT depths, the method assumes an initial uniform soil water content profile, and its performance relies on an empirical correction between RE and standard Green-Ampt results. Alternatively, previous works (Childs, 1960;Holmes and Colville, 1970;Duke, 1972) have suggested describing the soil water redistribution over a WT as an equilibrium hydrostatic condition (Fig. 1).…”

Section: Introductionmentioning

confidence: 99%

Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

Muñoz‐Carpena

Lauvernet

Carluer

2018

Hydrol. Earth Syst. Sci.

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Abstract. Vegetation buffers like vegetative filter strips (VFSs) are often used to protect water bodies from surface runoff pollution from disturbed areas. Their typical placement in floodplains often results in the presence of a seasonal shallow water table (WT) that can decrease soil infiltration and increase surface pollutant transport during a rainfallrunoff event. Simple and robust components of hydrological models are needed to analyze the impacts of WT in the landscape. To simulate VFS infiltration under realistic rainfall conditions with WT, we propose a generic infiltration solution (Shallow Water table INfiltration algorithm: SWINGO) based on a combination of approaches by Salvucci and Entekhabi (1995) and Chu (1997) with new integral formulae to calculate singular times (time of ponding, shift time, and time to soil profile saturation). The algorithm was tested successfully on five distinct soils, both against Richards's numerical solution and experimental data in terms of infiltration and soil moisture redistribution predictions, and applied to study the combined effects of varying WT depth, soil type, and rainfall intensity and duration. The results show the robustness of the algorithm and its ability to handle various soil hydraulic functions and initial nonponding conditions under unsteady rainfall. The effect of a WT on infiltration under ponded conditions was found to be effectively decoupled from surface infiltration and excess runoff processes for depths larger than 1.2 to 2 m, being shallower for fine soils and shorter events. For nonponded initial conditions, the influence of WT depth also varies with rainfall intensity. Also, we observed that soils with a marked air entry (bubbling pressure) exhibit a distinct behavior with WT near the surface. The good performance, robustness, and flexibility of SWINGO supports its broader use to study WT effects on surface runoff, infiltration, flooding, transport, ecological, and land use processes. SWINGO is coupled with an existing VFS model in the companion paper (Lauvernet and Muñoz-Carpena, 2018), where the potential effects of seasonal or permanent WTs on VFS sediment and pesticide trapping are studied.

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Influence of flow concentration on parameter importance and prediction uncertainty of pesticide trapping by vegetative filter strips

Cited by 73 publications

References 33 publications

Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications

Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications

Development of Web GIS-Based VFSMOD System with Three Modules for Effective Vegetative Filter Strip Design

Shallow water table effects on water, sediment, and pesticide transport in vegetative filter strips – Part 1: nonuniform infiltration and soil water redistribution

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