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Article

Different Approaches to Assessing Pollution Load: The Case of Nitrogen-Related Grey Water Footprint of Barley and Soybean in Argentina

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Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Hidrología de Llanuras “Dr. Eduardo Jorge Usunoff” (IHLLA), Tandil B7000, Argentina
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires (CIC), Instituto de Hidrología de Llanuras “Dr. Eduardo Jorge Usunoff” (IHLLA), Tandil B7000, Argentina
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Instituto de Innovación y Sostenibilidad en la Cadena Agroalimentaria (IS-FOOD), Universidad Pública de Navarra (UPNA), Centro Jerónimo de Ayanz, Campus de Arrosadia, 31006 Pamplona, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Jacek Mąkinia
Water 2021, 13(24), 3558; https://doi.org/10.3390/w13243558
Received: 20 October 2021 / Revised: 30 November 2021 / Accepted: 10 December 2021 / Published: 13 December 2021
Agriculture is among the main causes of water pollution. Currently, 75% of global anthropogenic nitrogen (N) loads come from leaching/runoff from cropland. The grey water footprint (GWF) is an indicator of water resource pollution, which allows for the evaluation and monitoring of pollutant loads (L) that can affect water. However, in the literature, there are different approaches to estimating L and thus contrasting GWF estimates: (A1) leaching/runoff fraction approach, (A2) surplus approach and (A3) soil nitrogen balance approach. This study compares these approaches for the first time to assess which one is best adapted to real crop production conditions and optimises GWF calculation. The three approaches are applied to assess N-related GWF in barley and soybean. For barley in 2019, A3 estimated a GWF value 285 to 196% higher than A1, while in 2020, the A3 estimate was 135 to 81% higher. Soybean did not produce a GWF due to the crop characteristics. A3 incorporated N partitioning within the agroecosystem and considered different N inputs beyond fertilization, improving the accuracy of L and GWF estimation. Providing robust GWF results to decision-makers may help to prevent or reduce the impacts of activities that threaten the world’s water ecosystems and supply. View Full-Text
Keywords: pollution load; nitrogen fertilization; mineralization; leaching/runoff; agricultural practices pollution load; nitrogen fertilization; mineralization; leaching/runoff; agricultural practices
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MDPI and ACS Style

Olivera Rodriguez, P.; Holzman, M.E.; Mujica, C.R.; Rivas, R.E.; Aldaya, M.M. Different Approaches to Assessing Pollution Load: The Case of Nitrogen-Related Grey Water Footprint of Barley and Soybean in Argentina. Water 2021, 13, 3558. https://doi.org/10.3390/w13243558

AMA Style

Olivera Rodriguez P, Holzman ME, Mujica CR, Rivas RE, Aldaya MM. Different Approaches to Assessing Pollution Load: The Case of Nitrogen-Related Grey Water Footprint of Barley and Soybean in Argentina. Water. 2021; 13(24):3558. https://doi.org/10.3390/w13243558

Chicago/Turabian Style

Olivera Rodriguez, Paula, Mauro E. Holzman, Claudio R. Mujica, Raúl E. Rivas, and Maite M. Aldaya. 2021. "Different Approaches to Assessing Pollution Load: The Case of Nitrogen-Related Grey Water Footprint of Barley and Soybean in Argentina" Water 13, no. 24: 3558. https://doi.org/10.3390/w13243558

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