A simulation-based method to develop strategies for nitrogen pollution control in a creek watershed with sparse data

Zhang, Zhenyu; Huang, Jinliang; Xiao, Cairong; Huang, Jr-Chuan

doi:10.1007/s11356-020-09954-z

Cited by 7 publications

(6 citation statements)

References 67 publications

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“…The average annual temperature and precipitation are 20.5 • C and 1600~2100 mm, respectively. Notably, more than 80% of the annual precipitation occurs during the wet season, characterized by intensive Meiyu rains and typhoon storms [25]. As the headwater creek of the Jingjiang River, the watershed consists mainly of secondary vegetation containing coniferous and broad-leaved forests and artificial vegetation containing horsetail pine, bamboo forests, tea plantations, rutabagas, and various economic forests [26].…”

Section: Study Areamentioning

confidence: 99%

“…Notably, most urbanized areas, constituting approximately 10% of the drainage area, are situated in close proximity to the banks of Shixi Creek (Figure 1). It is important to note that the streamflow originating from Shixi Creek serves as the primary water source for domestic, industrial, and agricultural activities, supporting the livelihoods of over 20,000 local residents [25].…”

Section: Study Areamentioning

confidence: 99%

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A Framework to Quantify Riverine Dissolved Inorganic Nitrogen Exports under Changing Land-Use Patterns and Hydrologic Regimes

Zhang,

Liao,

Huang

2023

Water

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Riverine dissolved inorganic nitrogen (DIN), when elevated by human activities (e.g., land-use change), can accelerate the nitrogen cycle and downstream dispersal. However, estimating DIN export coefficients for individual land-use types can be complex due to mosaic land-use patterns and interactions between fertilizers and hydrological processes. We propose a framework that integrates an empirical model, a moving-window method, and an elasticity method to quantify seasonal DIN export coefficients for each land use in the Shixi Creek catchment, southeast China. Our model showed good agreement with field observations according to root mean square error and a normalized objective function. The export coefficients of farmland and forest were the highest (9.16 mg L−1) and lowest (2.91 mg L−1) ones, resulting in annual DIN exports, respectively, for farmland and forests of 1951 kg km−2 yr−1 and 619 kg km−2 yr−1, respectively. Urbanization was a dominant factor influencing DIN export; the export coefficient of built-up areas showed the highest elasticity and highest uncertainty, with abrupt fluctuations from dry to wet years. Our framework revealed the complex role of built-up areas in nitrogen export. Our results can shed light on how to improve riverine N management in a catchment by considering the interactive effects of climate and land use.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

A Framework to Quantify Riverine Dissolved Inorganic Nitrogen Exports under Changing Land-Use Patterns and Hydrologic Regimes

Zhang,

Liao,

Huang

2023

Water

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“…Furthermore, the conversion processes of the different nitrogen substances were focused on to illustrate the transformation mechanism avoiding the toxic nitrogen compounds accumulated to ruining down the environmental safety of the aquatic organisms. In brief, the use of the IACB simultaneously ensures the normal function of the waters by the elimination of the pathological features of the water body (Zhang et al, 2020;Alarcón-Vivero et al, 2022;Kim et al, 2022;Yakovlev et al, 2022). In the actual water improvement projects, if IACB could be adopted to maintain the function of water, it was in hope of reducing the time spent in circulating puri cation measures and the running cost of the maintenance systems with rapid deterioration and the capitalized treatment capacities of circulating decontamination.…”

Section: Introductionmentioning

confidence: 99%

Fates of Nitrogenous Contaminants of Eutrophic Waters Using Laboratory Microcosm Method in Interception-Activation-Combined Bioreactors

Zhu

et al. 2022

Preprint

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For understanding the internal transformations of the nitrogen in nitrogenous contaminants like ammonia nitrogen (NH3-N), nitrite nitrogen (NO2-N) and nitrate nitrogen (NO3-N) in natural waters, the remediation effects of the designed reactors on NH3-N, NO2-N and NO3-N were well carried out, respectively. It was not like the NO3-N contaminants which would be rapidly whittled down within any concentrations of this experiment, meanwhile the concentrations of the NH3-N and NO3-N contaminants were respectively reduced by nitrification and denitrification from 5.00 mg/L and 10.00 mg/L in influents under the conditions of dissolved oxygen concentrations of 5.0 ± 0.6 mg/L and the redox potential (ORP) about + 213 ± 37 mV at 20.0 ± 0.5℃ of water temperature to no more than 2.0 mg/L in effluents. Both NH3-N and NO3-N concentrations were under the limited concentrations of the level V of GB 3838 − 2002 with the help of the aerobic granular sludges (AGS) cultured and collected from the interception-reaction galleries (IRG) of the reactors of characteristics of 0.20–2.00 mm in statistical particle diameter (93 ± 4% m/m), ash contents of 7 ± 5% m/m and the degradation capacities of 0.88 ± 0.13 (mg nitrogen)/(mg sludge). Thereafter, it was not decreased as expected to the finial acceptable concentration of the prospective value of 2.00 mg/L with the original concentration of 15.00 mg/L in influents. Thus, the processes of the nitrogenous contaminants could be remediated within the concentrations of the rage of no more than 10.00 mg/L, especially both NH3-N and NO3-N to friendlily purify the natural waters without any other exogenous powers and more energy consumptions to the environment.

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“…6,7 For point sources, nutrient pollution can be reduced by optimizing the existing wastewater treatment and resource recovery processes used in water resource recovery facilities (WRRFs) or upgrading to a more advanced treatment process with new infrastructure. 8,9 Integrated models that simulate the effectiveness of point source and nonpoint source nutrient reductions are required for holistic nutrient management at watershed scales. 10,11 Various computer programs (e.g., GPS-X and BioWin) have been developed that allow for simulation of WRRF treatment alternatives.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve the nutrient reduction goal outlined in the NLRS, considerable changes to both nonpoint (e.g., agricultural runoff) and point source (wastewater treatment effluent) management are needed. For nonpoint sources, nutrient pollution can be reduced by adopting various agricultural best management practices. , For point sources, nutrient pollution can be reduced by optimizing the existing wastewater treatment and resource recovery processes used in water resource recovery facilities (WRRFs) or upgrading to a more advanced treatment process with new infrastructure. , Integrated models that simulate the effectiveness of point source and nonpoint source nutrient reductions are required for holistic nutrient management at watershed scales. , …”

Section: Introductionmentioning

confidence: 99%

Evaluating Long-Term Treatment Performance and Cost of Nutrient Removal at Water Resource Recovery Facilities under Stochastic Influent Characteristics Using Artificial Neural Networks as Surrogates for Plantwide Modeling

Emaminejad

Aguiar

et al. 2021

ACS EST Eng.

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Integrated watershed modeling is needed to couple water resource recovery facilities (WRRFs) with agricultural management for holistic watershed nutrient management. Surrogate modeling can facilitate model coupling. This study applies artificial neural networks (ANNs) as surrogate models for WRRF models to efficiently evaluate the long-term treatment performance and cost under influent fluctuations. Specifically, we first developed five WRRFs, including activated sludge, activated sludge with chemical precipitation (ASCP), enhanced biological phosphorus removal (EBPR), EBPR with acetate addition (EBPR-A), and EBPR with struvite recovery (EBPR-S), in a high-fidelity simulation program (GPS-X). The five WRRFs were based on an existing plant that treats combined domestic and industrial wastewater. The ANNs have satisfactory performance in capturing nonlinear biological behaviors for all five WRRFs, even though the prediction performance (R-square) slightly decreases as the model complexity increases. We advanced ANNs application in WRRF models by simulating long-term (10-yr) performance with monthly influent fluctuations using ANNs trained by simulation data from steady-state models and evaluated their performance on Phosphorus (P) and Nitrogen (N) removal. EBPR-S shows the most resilience, while EBPR is more sensitive to influent characteristics impacted by stormwater inflow. When comparing life cycle costs of N and P removal for each layout over the 10-yr simulation period, EPBR-S is the most cost-effective alternative, highlighting both the operational and cost benefits of side-stream P recovery. By capturing both nonlinear behaviors of biological treatment and operating costs with computationally lean ANNs, this study provides a paradigm for integrating complex WRRF models within integrated watershed modeling frameworks.

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A simulation-based method to develop strategies for nitrogen pollution control in a creek watershed with sparse data

Cited by 7 publications

References 67 publications

A Framework to Quantify Riverine Dissolved Inorganic Nitrogen Exports under Changing Land-Use Patterns and Hydrologic Regimes

A Framework to Quantify Riverine Dissolved Inorganic Nitrogen Exports under Changing Land-Use Patterns and Hydrologic Regimes

Fates of Nitrogenous Contaminants of Eutrophic Waters Using Laboratory Microcosm Method in Interception-Activation-Combined Bioreactors

Evaluating Long-Term Treatment Performance and Cost of Nutrient Removal at Water Resource Recovery Facilities under Stochastic Influent Characteristics Using Artificial Neural Networks as Surrogates for Plantwide Modeling

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