A Phosphorus Flow Analysis of Brazil

Sipert, Samuel; Cohim, Eduardo

doi:10.1089/ees.2019.0264

Cited by 4 publications

(3 citation statements)

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“…Most of the P resources in most countries are used as fertilizers in the agriculture and fishery sectors [16,44]. In a study on the P-flow in Brazil, it was reported that the poor management of harvesting, processing and transportation of food products was responsible for a great amount of P loss [18]. Wang et al (2011) [9] reported a PUE of only 18% in China, with the highest PUE in the food processing sector and the lowest PUE in the animal production sector.…”

Section: Technical Factorsmentioning

confidence: 99%

“…The N footprint is commonly determined by a country-specific bottom-up approach, known as the N-Calculator (e.g., [2,8,[11][12][13]). In the case of the P footprint, the most commonly used method for country-based analysis is the material flow analysis [14][15][16][17][18]. To develop a detailed scenario of national food N and P footprints, similar system boundaries, datasets, and time periods were applied to the N-Calculator and the P-Calculator approaches [2].…”

Section: Introductionmentioning

confidence: 99%

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The Effect of Religious Dietary Cultures on Food Nitrogen and Phosphorus Footprints: A Case Study of India

2021

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The excessive consumption of nitrogen (N) and phosphorus (P), two vital nutrients for living organisms, is associated with negative environmental and health impacts. While food production contributes to a large amount of N and P loss to the environment, very little N and P is consumed as food. Food habits are affected by multiple regulations, including the dietary restrictions and dictates of various religions. In this study, religion-sensitive N-Calculator and P-Calculator approaches were used to determine the impact of religious dietary culture on the food N and P footprints of India in the major religious communities. Using 2013 data, the food N footprint of Hindus, Muslims, Christians, and Buddhists was 10.70, 11.45, 11.47, and 7.39 kg-N capita−1 year−1 (10.82 kg-N capita−1 year−1 was the national average), and the food P footprint was 1.46, 1.58, 1.04. 1.58 and 1.58 kg-P capita−1 year−1 (1.48 kg-P capita−1 year−1 was the national average). The findings highlight the impact of individual choice on the N and P food footprints, and the importance of encouraging the followers of religion to follow a diet consistent with the food culture of that religion. The results of this study are a clear indication of the requirement for religion-sensitive analyses in the collecting of data pertinent to a particular country for use in making government policies designed to improve the recycling of food waste and the treatment of wastewater.

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Section: Technical Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Effect of Religious Dietary Cultures on Food Nitrogen and Phosphorus Footprints: A Case Study of India

2021

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“…Material-and substance-flow analysis (MFA/SFA) models allow to depict the entire mass flow of nutrients at a global (Chen and Graedel, 2016;Lun et. al., 2018), national (Antikainen et al, 2005;Cordell et al, 2013;Sipert and Cohim, 2019), or administrative/divisional scales (Bruulsema et al, 2011;Senthikumar et al, 2012) that can be further downscaled to sub-regional levels (Bolinder et al, 2000;Van Bochove et al, 2012). The MFA/MSA models provide a detailed inventory of nutrient supplies, consumptions, and accumulated stocks, which is an essential piece of information for the development of long-term plans of sustainable nutrient cycles within the water-energy-food nexus (Scholz et al, 2013).…”

Section: 2mentioning

confidence: 99%

A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers

et al. 2021

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We present a comprehensive evaluation of eleven process-based models to characterize the water cycle, nutrient fate and transport within a watershed context, and to find a robust and replicable way to optimize the modelling strategy for the Lake Erie watershed. Our primary objective is to review the conceptual/technical strengths and weaknesses of the individual models to reproduce surface runoff, groundwater, sediment transport, nutrient cycling, channel routing and collectively guide the management in Lake Erie Basin. Our analysis suggests that the available models either opted for simpler approximations of the multifaceted, non-linear dynamics of nutrient fate and transport and instead placed more emphasis on the advanced representation of the water cycle, or introduced a greater degree of biogeochemical complexity but simplified their strategies to recreate the role of critical hydrological processes. Notwithstanding its overparameterization problem, MIKE-SHE provides the most comprehensive 3D representation of the interplay between surface and subsurface hydrological processes with a fully dynamic description, whereby we can recreate the solute transport that infiltrates from the surface to the unsaturated soil layer and subsequently percolates into the saturated layer. Likewise, the physically based submodels designed to represent the sediment detachment and erosion/removal processes (DWSM, HBV-INCA, HSPF, HYPE and MIKE-SHE), offer a distinct alternative to USLE-type empirical strategies. The ability to explicitly simulate the daily plant growth (SWAT and APEX) coupled with a dynamic representation of soil P processes can be critical when evaluating the long-term watershed responses to various agricultural management strategies. While our propositions seem to favor the consideration of complex models that may lack the commensurate knowledge to properly characterize the underlying processes, we contend this issue can be counterbalanced by the joint consideration of simpler empirical models, under an ensemble framework, that can both constrain the plausible values of individual processes and validate macroscale patterns. Finally, our study discusses critical facets of the watershed modelling work in Lake Erie, such as the role of legacy P, the challenges in reproducing spring-freshet or event-flow conditions, and the dynamic characterization of water/nutrient cycles under the non-stationarity of a changing climate.

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Identification and quantification of main anthropogenic stocks and flows of potassium in Brazil

Sipert

Cohim

Nascimento

2020

Environ Sci Pollut Res

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A Phosphorus Flow Analysis of Brazil

Cited by 4 publications

References 56 publications

The Effect of Religious Dietary Cultures on Food Nitrogen and Phosphorus Footprints: A Case Study of India

The Effect of Religious Dietary Cultures on Food Nitrogen and Phosphorus Footprints: A Case Study of India

A review of the current state of process-based and data-driven modelling: guidelines for Lake Erie managers and watershed modellers

Identification and quantification of main anthropogenic stocks and flows of potassium in Brazil

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