Assessment of Nitrogen Inputs into Hunt River by Onsite Wastewater Treatment Systems via SWAT Simulation

Paul, Supria; Cashman, Michaela A.; Szura, Katelyn; Pradhanang, Soni M.

doi:10.3390/w9080610

Cited by 8 publications

(4 citation statements)

References 22 publications

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“…18-Paul et al [40] determined the response of SWAT to the addition of an onsite wastewater-treatment systems on nitrogen loading into the Hunt River in Rhode Island. They concluded that using the treatment systems data in the SWAT produced a better calibration and validation fit for total N.…”

Section: Appendix Amentioning

confidence: 99%

A Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment: A Review of Papers from the 2016 International SWAT Conference

Abbaspour

Vaghefi

Srinivasan

2017

Water

372

205

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Application of integrated hydrological models to manage a watershed's water resources are increasingly finding their way into the decision-making processes. The Soil and Water Assessment Tool (SWAT) is a multi-process model integrating hydrology, ecology, agriculture, and water quality. SWAT is a continuation of nearly 40 years of modeling efforts conducted by the United States Department of Agriculture (USDA) Agricultural Research Service (ARS). A large number of SWAT-related papers have appeared in ISI journals, building a world-wide consensus around the model's stability and usefulness. The current issue is a collection of the latest research using SWAT as the modeling tool. Most models must undergo calibration/validation and uncertainty analysis. Unfortunately, these sciences are not formal subjects of teaching in most universities and the students are often left to their own resources to calibrate their model. In this paper, we focus on calibration and uncertainty analysis highlighting some serious issues in the calibration of distributed models. A protocol for calibration is also highlighted to guide the users to obtain better modeling results. Finally, a summary of the papers published in this special issue is provided in the Appendix.

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Section: Appendix Amentioning

confidence: 99%

A Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment: A Review of Papers from the 2016 International SWAT Conference

Abbaspour

Vaghefi

Srinivasan

2017

Water

372

205

View full text Add to dashboard Cite

show abstract

“…At the same time, insufficient attention is paid to the monitoring of this type of soil and water contamination. Indirect soil contamination due to precipitation is mainly considered [24,25]. However, they do not take into account, for example, contamination of soils and waterbodies by harmful emissions in the exhaust gases of motor vehicles.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, for their building, it is necessary to set the initial conditions. It again leads to the use of a certain number of soil samples from some upper layer and laboratory studies of collected samples to establish concentrations of contaminants [6,9,19,25]. However, the problem of "initial conditions" for mathematical model building can be solved within the above-announced complex approach.…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Mathematical Modeling of Soil and Groundwater Contamination by Harmful Emissions of Nitrogen Dioxide from Motor Vehicles

et al. 2021

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The article considers the task and a new approach to monitoring of soil and groundwater contamination by harmful emissions of nitrogen dioxide from motor vehicles. The approach is based on combination of measurement procedure of the harmful emissions concentrations in the surface atmospheric layer and mathematical modeling of the impact of these emissions on soil and groundwater contamination. The scheme of this harmful emission concentrations measurement using a mobile complex Sniffer4D Hyper-local Air Quality Analyzer is given. Based on these results, a mathematical model of diffusion of this harmful substance in the upper layers of soil and water resources is proposed. As a result of the computations, the distribution of concentrations of soil and water contamination in the neighborhood of separate observation points has been built. Also, the field of nitrogen dioxide concentrations at various depths for observation points has been modeled. For a waterbody, the concentration of nitric acid, which is formed due to the interaction of nitrogen dioxide with water, is higher in water than in the surface layer of the soil. This concentration can be significantly increased during prolonged downpours when acidic solutions drain from surrounding soil areas into the waterbodies. The obtained research results are fully consistent with the practical and theoretical results on the diffusion of gases into soils and water resources. It means that the proposed approach can be used instead of the existing very expensive approach to analysis of soil and groundwater contamination in the laboratory.

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“…In this study, calibration was performed using the sequential uncertainty fitting algorithm (SUFI-2), which has been used to optimize SWAT parameters in many studies [42][43][44].…”

Section: Description Of Swat and Swat-cupmentioning

confidence: 99%

Assessment of Baseflow Estimates Considering Recession Characteristics in SWAT

Lee

Kim

Jang

et al. 2018

Water

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Abstract:Baseflow is influenced by incoming groundwater to aquifers and is closely related to watershed characteristics. Understanding baseflow characteristics is of great importance to river ecosystems and water management. Baseflow estimation typically depends on the observed streamflow in gauged watersheds, but accurate predictions of streamflow through modeling can also be useful in estimating baseflow. However, uncertainty occurs in the baseflow estimation process when modeling streamflow. Therefore, the purpose of this study is to compare the method that is proposed by Arnold and Allen (Scenario I) to an improved recession prediction method where the alpha factor (baseflow recession coefficient) is recalibrated and is applied to SWAT (Scenario II). Although the differences between the results (NSE, R 2 , RMSE, MAE, d) of Scenarios I and II were small regarding streamflow and recession, the Scenario II method more accurately reflected the recession characteristics than the Scenario I method. Furthermore, the Scenario II method was better in baseflow prediction than for the Scenario I method proposed by Arnold and Allen. Therefore, these outputs pave the way and contribute to an efficient method for water management in watersheds.

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Assessment of Nitrogen Inputs into Hunt River by Onsite Wastewater Treatment Systems via SWAT Simulation

Cited by 8 publications

References 22 publications

A Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment: A Review of Papers from the 2016 International SWAT Conference

A Guideline for Successful Calibration and Uncertainty Analysis for Soil and Water Assessment: A Review of Papers from the 2016 International SWAT Conference

Monitoring and Mathematical Modeling of Soil and Groundwater Contamination by Harmful Emissions of Nitrogen Dioxide from Motor Vehicles

Assessment of Baseflow Estimates Considering Recession Characteristics in SWAT

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