Developing a nitrogen load apportionment tool: Theory and application

Girolamo, Anna Maria De; Spanò, Marinella; D’Ambrosio, Ersilia; Ricci, Giovanni Francesco; Gentile, Francesco

doi:10.1016/j.agwat.2019.105806

Cited by 16 publications

(12 citation statements)

References 45 publications

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“…For instance, De Girolamo et al [71], for the conterminous Rio Mannu basin in southern Sardinia, reported an average of 0.86 kg ha −1 year −1 for TP. Similarly, a recent nutrient apportionment tool tested in south-eastern Italy showed that the average TN riverine export was 2.8 and 5.2 kg ha −1 year −1 at a basin scale and for productive lands, respectively [72]. The authors attributed the relatively low rates of TN losses in the watershed to the fact that groundwater was the principal receptor of the NO 3 -N leached from fractured soils.…”

Section: Water Quality and High Loading Areasmentioning

confidence: 97%

Predicting Streamflow and Nutrient Loadings in a Semi-Arid Mediterranean Watershed with Ephemeral Streams Using the SWAT Model

Pulighe¹,

Bonati²,

Colangeli

et al. 2019

Agronomy

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Predicting the availability and quality of freshwater resources is a pressing concern in the Mediterranean area, where a number of agricultural systems depend solely on precipitation. This study aims at predicting streamflow and nonpoint pollutant loads in a temporary river system in the Mediterranean basin (Sulcis area, Sardinia, Italy). Monthly discharge, suspended sediment, nitrate nitrogen, total nitrogen, mineral phosphorus, and dissolved oxygen in-stream monitoring data from gauge stations were used to calibrate and validate the Soil and Water Assessment Tool model for the period 1979–2009. A Sequential Uncertainty Fitting procedure was used to auto-calibrate parameter uncertainties and model evaluation. Monthly simulation during the validation period showed a positive model performance for streamflow with Nash–Sutcliffe efficiency and percent bias values of 0.7% and 18.7%, respectively. The simulation results at a watershed level indicate that the sediment load was 1.13 t ha−1 year−1, while for total nitrogen and total phosphorus, the simulated values were 4.8 and 1.18 kg ha−1 year−1, respectively. These results were consistent with the values of soil and nutrient losses observed in the Mediterranean area, although hot-spot areas with high nutrient loadings were identified. The calibrated model could be used to assess long-term impacts on water quality associated with the simulated land use scenarios.

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Section: Water Quality and High Loading Areasmentioning

confidence: 97%

Predicting Streamflow and Nutrient Loadings in a Semi-Arid Mediterranean Watershed with Ephemeral Streams Using the SWAT Model

Pulighe¹,

Bonati²,

Colangeli

et al. 2019

Agronomy

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“…Depending on the set of conditions, it can vary from 0.08 to 0.8 for nitrogen and from 0.0001 to 0.1 for phosphorus. The general methodology for its calculation is outlined in [44] and with improvements in [45]. Export coefficients adjusted to the conditions of Ukraine are presented in Table 1.…”

Section: Calculation Of Diffuse Sources Loadmentioning

confidence: 99%

Methodology for Assessing the Surface Water Pollution by Nutrients

Osadcha¹,

Luzovitska²,

Ukhan³

et al. 2023

Ukr. Geogr. z.

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The preparation of the River Basin Management Plan includes an assessment of the human pressure by polluting substances. This paper suggests a methodology for calculating the total budget of nutrients in the river basin using the balance method. We assessed the supply of nutrients from various sources within the catchment area. Point sources include emissions from urban areas as well as industrial and agricultural enterprises. Diffuse sources are divided into those determined by natural background (emission from territories covered by forests, grass vegetation, direct atmospheric depositions on the water surface) and anthropogenic ones (arable land, rural, built-up areas). The developed method can be applied to basins not provided with monitoring data.

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“…On the other hand, if human being exposed to it for longer periods, they mightlead to health threats. Anion, microbial, heavy metal and cation contamination is well recognized and ubiquitous health threat linked to drinking and domestic water as it creates outbreaks of numerous water-related sicknesses for instance, typhoid, dysentery, cholera, and the rest (De Girolamo et al, 2019;World Health Organization WHO, 2004). Economic status growth which is frequentlylinked with population rising, urbanization and agrarian activities has impelled novel ways of utilizing land, which in turn causes greater demand for hygienic and dirt-free water for domestic and agricultural deeds, as well as industrial processes.…”

Section: Introductionmentioning

confidence: 99%

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2023

IJWPDS

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Anthropogenic and industrial activities triggering an alteration on the natural cadmium and nitrogen cycle are deliberated on as one among the most vital environmental concerns. Water quality index (WQI) and skewness, nitrate was 8.37 ± 1.014 in dry season and 3087.87 ± 1.150 for wet season, but cadmium was 0 ± 1.559 in wet season and zero all through the sunny period. Equating results with World Health Organization (WHO) permissible limits, it discovered that nitrate was low throughout both seasons whereas cadmium was 90% above permissible during rainy season, but 100% within limit throughout arid season. The water-physiques in all sites at Ikpoba River in both seasons revealed low disparities (< 20%) with positive linear relationship (R 0.922 ≥ 0.211) for nitrate and (R 0 ≤ 089) for cadmium in dry and wet seasons respectively. What's more, site 1 in the wet season, and all sites in dry season, exhibited no significant dissimilarities (p >0.05) between them, but others indicated significant dissimilarity (p <0.05) for cadmium and nitrate concentrations. In respect to seasonality, all water-physiques scrutinized revealed significant dissimilarities (p <0.05) for both seasons (nitrate and phosphate) concentration. The cadmium-nitrate ratio was very high particularly in the humid season because of the high input of nitrate. The nutrient contagion index displayed slightly to significantly contagion, whereas the water physiques will pose very high non-carcinogenic health risks and threats to users through the oral pathway.

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Developing a nitrogen load apportionment tool: Theory and application

Cited by 16 publications

References 45 publications

Predicting Streamflow and Nutrient Loadings in a Semi-Arid Mediterranean Watershed with Ephemeral Streams Using the SWAT Model

Predicting Streamflow and Nutrient Loadings in a Semi-Arid Mediterranean Watershed with Ephemeral Streams Using the SWAT Model

Methodology for Assessing the Surface Water Pollution by Nutrients

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