Statistical Procedure for Evaluating Hydrologic/Water Quality Models

Haan, C. T.; Allred, Barry J.; Storm, Daniel E.; Sabbagh, George J.; Prabhu, S.

doi:10.13031/2013.27886

Cited by 46 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Uncertainty, defined as the amount by which an estimated value differs from the true value, is a major concern in watershed modeling (Haan, 1989;Haan et al, 1995;Shirmohammadi et al, 2006;Harmel et al, 2010). In watershed modeling, uncertainty can arise from uncertainty in model inputs, such as precipitation (Sexton et al, 2010;Tuppad et al, 2010a) or representation of land use, management, or structures (Lee et al, 2010;Srinivasan et al, 2010); from model representation, such as landscape routing (Arnold et al, 2010;Bosch et al, 2010); or from model parameterization (Veith et al, 2010;Whittaker et al, 2010).…”

Section: Model Parameterization and Uncertaintymentioning

confidence: 99%

Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications

Douglas-Mankin¹,

Srinivasan²,

Arnold³

2010

Transactions of the ASABE

400

212

View full text Add to dashboard Cite

This article introduces a special collection of 20 research articles that present current developments and applications of the Soil and Water Assessment Tool (SWAT). The first objective is to review and introduce the research addressed within this special collection. The second objective is to summarize and synthesize the model performance statistics and parameters published in these articles to provide a succinct guide to complement a previous SWAT model summary. Recent SWAT developments in landscape representation, stream routing, and soil P dynamics are presented in this collection. Numerous critical applications of the SWAT model were conducted across a variety of landscape scales, climatic and physiographic regions, and pollutant sources. In this article, model performance in terms of coefficient of determination, Nash-Sutcliffe efficiency, and percent bias across all the studies is summarized and found to be satisfactory or better in all cases. These results are then compiled with a previous synthesis of results to generate a comprehensive assessment of SWAT. Model parameters used to calibrate the model for streamflow, sediment, N, and P in numerous studies are also summarized. This collection demonstrates that research in development and application of the SWAT model and associated tools continues to grow internationally in a wide range of settings and applications.

show abstract

Section: Model Parameterization and Uncertaintymentioning

confidence: 99%

Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications

Douglas-Mankin¹,

Srinivasan²,

Arnold³

2010

Transactions of the ASABE

400

212

View full text Add to dashboard Cite

show abstract

“…A considerable amount of error can be expected with both measured (Harmel et al, 2006(Harmel et al, , 2010 and modeled P-loss data Bolster et al, 2016). Therefore, we also calculated goodness-of-fit statistics while accounting for uncertainties in both predicted and measured P loss using a modified residual term, dm i , based on the degree of overlap (DO) between the distributions for each paired measured and predicted P-loss values (Haan et al, 1995;Harmel et al, 2010;Bolster and Vadas, 2013):…”

Section: Evaluation Of Model Predictionsmentioning

confidence: 99%

Comparing an Annual and a Daily Time‐Step Model for Predicting Field‐Scale Phosphorus Loss

et al. 2017

View full text Add to dashboard Cite

A wide range of mathematical models are available for predicting phosphorus (P) losses from agricultural fields, ranging from simple, empirically based annual time-step models to more complex, process-based daily time-step models. In this study, we compare field-scale P-loss predictions between the Annual P Loss Estimator (APLE), an empirically based annual time-step model, and the Texas Best Management Practice Evaluation Tool (TBET), a process-based daily time-step model based on the Soil and Water Assessment Tool. We first compared predictions of fieldscale P loss from both models using field and land management data collected from 11 research sites throughout the southern United States. We then compared predictions of P loss from both models with measured P-loss data from these sites. We observed a strong and statistically significant (p < 0.001) correlation in both dissolved (r = 0.92) and particulate (r = 0.87) P loss between the two models; however, APLE predicted, on average, 44% greater dissolved P loss, whereas TBET predicted, on average, 105% greater particulate P loss for the conditions simulated in our study. When we compared model predictions with measured P-loss data, neither model consistently outperformed the other, indicating that more complex models do not necessarily produce better predictions of field-scale P loss. Our results also highlight limitations with both models and the need for continued efforts to improve their accuracy.Comparing an Annual and a Daily Time-Step Model for Predicting Field-Scale Phosphorus Loss Carl H. Bolster,* Adam Forsberg, Aaron Mittelstet, David E. Radcliffe, Daniel Storm, John Ramirez-Avila, Andrew N. Sharpley, and Deanna Osmond A pplication of phosphorus (P) to agricultural lands can lead to increased offsite transport of P via surface runoff, erosion, and/or subsurface leaching to groundwater. Delivery of this P to P-sensitive water bodies can lead to water quality deterioration, primarily by accelerating the natural eutrophication process. Notable examples where excess P loading is contributing to water quality degradation include the Baltic Sea, Chesapeake Bay, the Florida Everglades, the Gulf of Mexico, and Lake Erie (Richardson et al., 2007;Chesapeake Bay Program, 2009;Dale et al., 2010;Andersson et al., 2014;Schoumans et al., 2014). In response to concerns over P losses from agricultural fields, research has focused on improving our understanding of the processes controlling P movement through the landscape (Radcliffe and Cabrera, 2007). This in turn has led to the development, improvement, and testing of models for predicting P fate and transport in the environment. When properly developed and used, these models can be useful tools for evaluating different management strategies for reducing P loss from agricultural fields (Sharpley et al., 2003;Radcliffe et al., 2009).Models for describing P movement through the landscape range in complexity depending on the theoretical rigor of the governing equations, the number of processes included in the mo...

show abstract

“…The available scientific knowledge did not support these claims. In particular, laboratory experiments did not find an increased mortality rate among marine organisms exposed to the electric pulse used in the fishery for sole (Smaal and Brummelhuis, 2005;Soetaert et al, 2015b;Soetaert et al, 2016a;Soetaert et al, 2016b;Soetaert et al, 2018;de Haan et al, 2009;de Haan et al, 2015), whilst field studies showed that over 90% of undersized plaice, common sole, turbot, brill and thornback ray caught in a commercial pulse trawl is alive when landed on deck (Schram and Molenaar, 2018, submitted). The only adverse effect of electrical stimulation shown by laboratory and field studies is the occurrence of spinal-injuries in cod (Van Marlen et al, 2014;De Haan et al, 2016;Soetaert et al, 2016a;Soetaert et al, 2016b).…”

Section: Introductionmentioning

confidence: 99%

Co-creating Knowledge with Fishers: Challenges and Lessons for Integrating Fishers' Knowledge Contributions into Marine Science in Well-Developed Scientific Advisory Systems

2023

Frontiers Research Topics

View full text Add to dashboard Cite

Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

show abstract

Statistical Procedure for Evaluating Hydrologic/Water Quality Models

Cited by 46 publications

References 15 publications

Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications

Soil and Water Assessment Tool (SWAT) Model: Current Developments and Applications

Comparing an Annual and a Daily Time‐Step Model for Predicting Field‐Scale Phosphorus Loss

Co-creating Knowledge with Fishers: Challenges and Lessons for Integrating Fishers' Knowledge Contributions into Marine Science in Well-Developed Scientific Advisory Systems

Contact Info

Product

Resources

About