Las aguas residuales porcícolas en Yucatán y su tratamiento

Mólgora, César Guillermo Calderón; Vigueros, Lina María Cardoso; Estrada, Violeta Eréndira Escalante; Camperos, Mercedes Esperanza Ramírez; Ortiz, Ana Cecília Tomasini

doi:10.24850/b-imta-perspectivas-2021-31

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…The primary reasons behind this transformation of natural ecosystems in Yucatán can be mostly attributed to the expansion of agriculture, the swine industry, and urban sprawl (Ellis et al, 2017). Notably, the swine industry in Yucatán accounts for 9% of the national pork production (OECD, 2019) and is projected to increase at a rate of 4.5% per year (Calderón et al, 2021). Consequently, as Yucatán is one of the primary national pork producers, stakeholders are confronted with investment challenges associated with environmental conflicts, such as groundwater contamination, air pollution, and soil degradation (Méndez-Novelo et al, 2009;Ducker et al, 2003).…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Gis-Ahp-Owa for Land Suitability Assessment in Infrastructure Investment Projects: A Case Study in Yucatán, Mexico

Merino-Benítez,

Hernández,

Bojórquez-Tapia

2023

IJAHP

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This article presents an approach to land suitability assessment (LSA) that accounts for the opposing interests and viewpoints of multiple stakeholders. LSA is a widely used geospatial technique for locating optimal sites for infrastructure investment. The approach described in this paper uses the Analytic Hierarchy Process (AHP) to elicit relative importance weights of a set of geographical attributes, the evaluation of the state of each attribute in spatial units using value functions on a geographic information system (GIS), and the implementation of the Ordered Weighted Average (OWA) as an aggregation operator. The approach is illustrated through the location of potential sites for swine plant investments, taking into consideration environmental conflicts in Yucatán, Mexico. This approach provides a systematic and transparent procedure for analyzing infrastructure projects’ land suitability and developing investment recommendations that promote sustainable development.

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