Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems

Water quality models are useful tools to understand and mitigate eutrophication processes. However, gaining access to high-resolution data and fitting models to local conditions can interfere with their implementation. This paper analyzes whether it is possible to create a spatial model of nutrient...

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Autores principales:	Ismael Díaz, Paula Levrini, Marcel Achkar, Carolina Crisci, Camila Fernández Nion, Guillermo Goyenola, Néstor Mazzeo
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	eutrophication models lotic systems GIS GAM land-use planning Uruguayan aquatic systems Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/a516aa4180ee48928803e985b0e45c2d
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spelling	oai:doaj.org-article:a516aa4180ee48928803e985b0e45c2d2021-11-25T17:31:11ZEmpirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems10.3390/environments81101292076-3298https://doaj.org/article/a516aa4180ee48928803e985b0e45c2d2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3298/8/11/129https://doaj.org/toc/2076-3298Water quality models are useful tools to understand and mitigate eutrophication processes. However, gaining access to high-resolution data and fitting models to local conditions can interfere with their implementation. This paper analyzes whether it is possible to create a spatial model of nutrient water level at a local scale that is applicable in different geophysical and land-use conditions. The total nitrogen and phosphorus concentrations were modeled by integrating Geographical Information Systems, Remote Sensing, and Generalized Additive and Land-Use Changes Modeling. The research was based on two case studies, which included 204 drainage basins, with nutrient and limnological data collected during two seasons. The models performed well under local conditions, with small errors calculated from the independent samples. The recorded and predicted concentrations of nutrients indicated a significant risk of water eutrophication in both areas, showing the impact of agricultural intensification and population growth on water quality. The models are a contribution to the sustainable land-use planning process, which can help to prevent or promote land-use transformation and new practices in agricultural production and urban design. The ability to implement models using secondary information, which is easily collected at a low cost, is the most remarkable feature of this approach.Ismael DíazPaula LevriniMarcel AchkarCarolina CrisciCamila Fernández NionGuillermo GoyenolaNéstor MazzeoMDPI AGarticleeutrophication modelslotic systemsGISGAMland-use planningUruguayan aquatic systemsEnvironmental technology. Sanitary engineeringTD1-1066ENEnvironments, Vol 8, Iss 129, p 129 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	eutrophication models lotic systems GIS GAM land-use planning Uruguayan aquatic systems Environmental technology. Sanitary engineering TD1-1066
spellingShingle	eutrophication models lotic systems GIS GAM land-use planning Uruguayan aquatic systems Environmental technology. Sanitary engineering TD1-1066 Ismael Díaz Paula Levrini Marcel Achkar Carolina Crisci Camila Fernández Nion Guillermo Goyenola Néstor Mazzeo Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems
description	Water quality models are useful tools to understand and mitigate eutrophication processes. However, gaining access to high-resolution data and fitting models to local conditions can interfere with their implementation. This paper analyzes whether it is possible to create a spatial model of nutrient water level at a local scale that is applicable in different geophysical and land-use conditions. The total nitrogen and phosphorus concentrations were modeled by integrating Geographical Information Systems, Remote Sensing, and Generalized Additive and Land-Use Changes Modeling. The research was based on two case studies, which included 204 drainage basins, with nutrient and limnological data collected during two seasons. The models performed well under local conditions, with small errors calculated from the independent samples. The recorded and predicted concentrations of nutrients indicated a significant risk of water eutrophication in both areas, showing the impact of agricultural intensification and population growth on water quality. The models are a contribution to the sustainable land-use planning process, which can help to prevent or promote land-use transformation and new practices in agricultural production and urban design. The ability to implement models using secondary information, which is easily collected at a low cost, is the most remarkable feature of this approach.
format	article
author	Ismael Díaz Paula Levrini Marcel Achkar Carolina Crisci Camila Fernández Nion Guillermo Goyenola Néstor Mazzeo
author_facet	Ismael Díaz Paula Levrini Marcel Achkar Carolina Crisci Camila Fernández Nion Guillermo Goyenola Néstor Mazzeo
author_sort	Ismael Díaz
title	Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems
title_short	Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems
title_full	Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems
title_fullStr	Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems
title_full_unstemmed	Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems
title_sort	empirical modeling of stream nutrients for countries without robust water quality monitoring systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/a516aa4180ee48928803e985b0e45c2d
work_keys_str_mv	AT ismaeldiaz empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems AT paulalevrini empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems AT marcelachkar empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems AT carolinacrisci empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems AT camilafernandeznion empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems AT guillermogoyenola empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems AT nestormazzeo empiricalmodelingofstreamnutrientsforcountrieswithoutrobustwaterqualitymonitoringsystems
_version_	1718412242985156608

Empirical Modeling of Stream Nutrients for Countries without Robust Water Quality Monitoring Systems

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