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Water Quality and Pollution Trading: A Sustainable Solution for Future Food Production
[Image: see text] Nitrogen, an essential nutrient for plant growth, is commonly added to food crops in the form of manure and synthetic fertilizers. Fertilizer use has significantly increased in the past decades to meet the food demands from a rising population. Although this has boosted food produc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426330/ https://www.ncbi.nlm.nih.gov/pubmed/37588520 http://dx.doi.org/10.1021/acsestengg.2c00383 |
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author | Zapata, Jamie Gonzalez Vangipuram, Bharadwaj Dalin, Carole Erfani, Tohid |
author_facet | Zapata, Jamie Gonzalez Vangipuram, Bharadwaj Dalin, Carole Erfani, Tohid |
author_sort | Zapata, Jamie Gonzalez |
collection | PubMed |
description | [Image: see text] Nitrogen, an essential nutrient for plant growth, is commonly added to food crops in the form of manure and synthetic fertilizers. Fertilizer use has significantly increased in the past decades to meet the food demands from a rising population. Although this has boosted food production, it has come at a cost to the environment. Indeed, excess fertilizer ends up in water bodies, a pollution that causes losses in aquatic biodiversity. Better fertilizer management is therefore essential to maintaining water sustainability. Here, we develop and evaluate a nitrogen water quality trading scheme to address this challenge. Nitrogen trading incentivizes farmers to work together to invest in pollution reduction measures in order to keep nitrogen water pollution levels within a standardized limit. We build a mathematical model to represent the nitrogen trading and use it to assess the pollution reduction, the effect on the crop yield, and economical outcomes. The model is applied among local farms in the agricultural county of Suffolk, eastern England. We calculate the nitrogen load to the river from each farm and incorporate the abatement cost into the model. The results show how nitrogen water pollution could be reduced cost-effectively while simultaneously increasing the benefit for the whole catchment. Although the benefit does not increase for all the farms, the increase in benefit for the whole catchment is enough to compensate for this loss. The surplus benefit is equally distributed between all the farms, thus increasing their overall benefit. We discuss how the proposed trading model can create a platform for farmers to participate and reduce their water pollution. |
format | Online Article Text |
id | pubmed-10426330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104263302023-08-16 Water Quality and Pollution Trading: A Sustainable Solution for Future Food Production Zapata, Jamie Gonzalez Vangipuram, Bharadwaj Dalin, Carole Erfani, Tohid ACS ES T Eng [Image: see text] Nitrogen, an essential nutrient for plant growth, is commonly added to food crops in the form of manure and synthetic fertilizers. Fertilizer use has significantly increased in the past decades to meet the food demands from a rising population. Although this has boosted food production, it has come at a cost to the environment. Indeed, excess fertilizer ends up in water bodies, a pollution that causes losses in aquatic biodiversity. Better fertilizer management is therefore essential to maintaining water sustainability. Here, we develop and evaluate a nitrogen water quality trading scheme to address this challenge. Nitrogen trading incentivizes farmers to work together to invest in pollution reduction measures in order to keep nitrogen water pollution levels within a standardized limit. We build a mathematical model to represent the nitrogen trading and use it to assess the pollution reduction, the effect on the crop yield, and economical outcomes. The model is applied among local farms in the agricultural county of Suffolk, eastern England. We calculate the nitrogen load to the river from each farm and incorporate the abatement cost into the model. The results show how nitrogen water pollution could be reduced cost-effectively while simultaneously increasing the benefit for the whole catchment. Although the benefit does not increase for all the farms, the increase in benefit for the whole catchment is enough to compensate for this loss. The surplus benefit is equally distributed between all the farms, thus increasing their overall benefit. We discuss how the proposed trading model can create a platform for farmers to participate and reduce their water pollution. American Chemical Society 2023-07-13 /pmc/articles/PMC10426330/ /pubmed/37588520 http://dx.doi.org/10.1021/acsestengg.2c00383 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Zapata, Jamie Gonzalez Vangipuram, Bharadwaj Dalin, Carole Erfani, Tohid Water Quality and Pollution Trading: A Sustainable Solution for Future Food Production |
title | Water Quality and Pollution Trading: A Sustainable
Solution for Future Food Production |
title_full | Water Quality and Pollution Trading: A Sustainable
Solution for Future Food Production |
title_fullStr | Water Quality and Pollution Trading: A Sustainable
Solution for Future Food Production |
title_full_unstemmed | Water Quality and Pollution Trading: A Sustainable
Solution for Future Food Production |
title_short | Water Quality and Pollution Trading: A Sustainable
Solution for Future Food Production |
title_sort | water quality and pollution trading: a sustainable
solution for future food production |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426330/ https://www.ncbi.nlm.nih.gov/pubmed/37588520 http://dx.doi.org/10.1021/acsestengg.2c00383 |
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