Numerical Simulation and Sensitivity Analysis for Nitrogen Dynamics Under Sewage Water Irrigation with Organic Carbon

Liu, Kun; Zhu, Yan; Ye, Ming; Yang, Jinzhong; Cheng, Xiao; Shi, Liangsheng

doi:10.1007/s11270-018-3832-z

Cited by 3 publications

(5 citation statements)

References 38 publications

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“…Liu et al. (2018) investigated the impacts of organic carbon on nitrogen transformation and transport in soil using a two‐dimensional numerical model calibrated to laboratory experiment measurements. Their sensitivity analysis process that was based on the same method presented some comparable results: it revealed that outflow

{NO}_{3}^{-}

concentrations were very sensitive to n (SI of ∼190%) and had normal sensitivity to α (SI of ∼72%).…”

Section: Resultsmentioning

confidence: 99%

“…Sensitivity analysis was performed using the local sensitivity analysis method (Liu et al., 2018). Let f be a model with an output O and a set of parameters β:

O = f ({normalβ}_{1}, {normalβ}_{2}, {normalβ}_{3} \dots {normalβ}_{i} \dots {normalβ}_{n})

…”

Section: Methodsmentioning

confidence: 99%

“…Since in many cases DOC and nitrogen species concentrations are of the greatest interest, SAT modeling often focuses on processes such as organic carbon consumption by bacteria and bacteria‐mediated nitrogen processes (i.e., mineralization, nitrification, and denitrification). These processes, as mentioned above, are widely discussed in many subareas of soil sciences, and models containing a combination of these processes with various water flow conditions are readily available in the literature (Berlin, Kumar, & Nambi, 2014; Liu et al., 2018; Yang, Wang, Lu, & Jayawardane, 2008). Most of the models that combine unsaturated water flow with carbon and nitrogen dynamics in the soil are solved numerically, often using the finite elements or finite differences methods (Berlin et al., 2014).…”

Section: Introductionmentioning

confidence: 99%

“…However, lower DO concentrations through the profile (which are the result of increased water retention), lowered the rates of oxidation processes and hence had a considerable effect on outflow composition. Liu et al (2018) investigated the impacts of organic carbon on nitrogen transformation and transport in soil using a two-dimensional numerical model calibrated to laboratory experiment measurements. Their sensitivity analysis process that was based on the same method presented some comparable results: it revealed that outflow NO − 3 concentrations were very sensitive to n (SI of ∼190%) and had normal sensitivity to α (SI of ∼72%).…”

mentioning

confidence: 99%

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Optimization of soil aquifer treatment (SAT) operation using a reactive transport model

Moshe

Weisbrod

Furman

2021

Vadose Zone Journal

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In this work, a numerical model was developed with the aim to study the effect of drying period (DP) duration on the biogeochemical state of a soil aquifer treatment (SAT) system, and to enhance its functionality accordingly. The model was calibrated and verified using data series from long-column experiments, and sensitivity analysis was performed. Considering unsaturated water flow, air movement, solute transport, and the main microbial-mediated kinetic reactions relevant to SAT, we examined outflow quality and reaction rates in response to seven DP durations while the flooding period (FP) durations were kept constant. The results show that extension of the aerobically active region occurs in response to longer DPs and suggest that very long DPs (>3 times the FPs) may not pose further advantage compared with medium-length DPs (2.5-3 times the flooding periods). A simple optimization process was demonstrated for the experimental SAT system presented, considering outflow quality vs. infiltrated volume. An optimum was obtained at DP/FP ratio of ∼2.8. Although these results are system specific, similar biogeochemical models may be modified and used for hydraulic operation optimization in other SAT sites.

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{NO}_{3}^{-}

concentrations were very sensitive to n (SI of ∼190%) and had normal sensitivity to α (SI of ∼72%).…”

Section: Resultsmentioning

confidence: 99%

“…Sensitivity analysis was performed using the local sensitivity analysis method (Liu et al., 2018). Let f be a model with an output O and a set of parameters β:

O = f ({normalβ}_{1}, {normalβ}_{2}, {normalβ}_{3} \dots {normalβ}_{i} \dots {normalβ}_{n})

…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Optimization of soil aquifer treatment (SAT) operation using a reactive transport model

Moshe

Weisbrod

Furman

2021

Vadose Zone Journal

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“…Water Resources Research 10.1029/2020WR028100 In contrast to our reference model, many aquifer-or catchment-scale models on nitrate transport neglect almost all details of the reactive system and describe denitrification as a simple first-order decay process that may depend on the organic carbon content of the soil (e.g., Almasri & Kaluarachchi, 2007;Liu et al, 2018;Zhang et al, 2020), even abandoning inhibition of denitrification by dissolved oxygen. The notion of these models is that mechanistic details of the reactions are averaged out in large-scale applications and an effective first-order rate law emerges.…”

Section: Description Of the Modelsmentioning

confidence: 99%

Strategies for Simplifying Reactive Transport Models: A Bayesian Model Comparison

Silva

Guthke

Höge

et al. 2020

Water Resources Research

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For simulating reactive transport on aquifer scale, various modeling approaches have been proposed. They vary considerably in their computational demands and in the amount of data needed for their calibration. Typically, the more complex a model is, the more data are required to sufficiently constrain its parameters. In this study, we assess a set of five models that simulate aerobic respiration and denitrification in a heterogeneous aquifer at quasi steady state. In a probabilistic framework, we test whether simplified approaches can be used as alternatives to the most detailed model. The simplifications are achieved by neglecting processes such as dispersion or biomass dynamics, or by replacing spatial discretization with travel-time-based coordinates. We use the model justifiability analysis proposed by Schöniger, Illman, et al. (2015,

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Differences of bacterial communities in two full-scale A2/O municipal wastewater treatment plants and their effects on effluent total nitrogen removal

Xiang

Wang

et al. 2021

Environmental Technology & Innovation

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Numerical Simulation and Sensitivity Analysis for Nitrogen Dynamics Under Sewage Water Irrigation with Organic Carbon

Cited by 3 publications

References 38 publications

Optimization of soil aquifer treatment (SAT) operation using a reactive transport model

Optimization of soil aquifer treatment (SAT) operation using a reactive transport model

Strategies for Simplifying Reactive Transport Models: A Bayesian Model Comparison

Differences of bacterial communities in two full-scale A2/O municipal wastewater treatment plants and their effects on effluent total nitrogen removal

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