Multimetric Index to Evaluate Water Quality in Lagoons: A Biological and Geomorphological Approach

Frank Aangel Hernández-Mira, José Luis Rosas-Acevedo, Maximino Reyes-Umaña, Juan Violante-González, José María Sigarreta-Almira and Nodari Vakhania
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Frank Aangel Hernández-Mira: Regional Development Sciences Center, Autonomous University of Guerrero, Los Pinos s/n, Suburb El Roble, Acapulco 39640, Guerrero, Mexico
José Luis Rosas-Acevedo: Regional Development Sciences Center, Autonomous University of Guerrero, Los Pinos s/n, Suburb El Roble, Acapulco 39640, Guerrero, Mexico
Maximino Reyes-Umaña: Regional Development Sciences Center, Autonomous University of Guerrero, Los Pinos s/n, Suburb El Roble, Acapulco 39640, Guerrero, Mexico
Juan Violante-González: Regional Development Sciences Center, Autonomous University of Guerrero, Los Pinos s/n, Suburb El Roble, Acapulco 39640, Guerrero, Mexico
José María Sigarreta-Almira: Faculty of Mathematics, Autonomous University of Guerrero, Carlos E. Adame 5, Col. La Garita, Acapulco 39640, Guerrero, Mexico
Nodari Vakhania: Science Research Center, Autonomous University of Morelos, Av. Universidad 1001, Chamilpa, Cuernavaca 62206, Morelos, Mexico

Sustainability, 2021, vol. 13, issue 9, 1-18

Abstract: In recent years, Multimetric Indices (MMIs) have received a lot of attention thanks to their ability to develop integrative evaluations of water quality, particularly in lagoons. In this article, we propose a new MMI for determining the water quality in lagoons. The proposed index is composed of biotic and abiotic indicators, in particular macroinvertebrates, macrophytes and morphological indicators. The proposed index is based on a geometric representation of a phenomenon associated with an ecological system, the ecosystem elements are mapped as vertices of a network and the relationship between them is represented by the corresponding edges. We classify the status of water bodies, from very low to very high using the ecological quality ratio. We compare our index with different different indices that measure water quality, such as General Biotic Index ( J P ( G ) ), Macrophyte Index for River (MIR) and Shannon diversity index (H’) and validate our index with Pearson’s correlation coefficient. A strong correlation with the J P ( G ) and M I R indices ( R 2 = 0.8605 and R 2 = 0.7661 , respectively) is obtained. Although the proposed index is composed of other indices, the independence of the proposed index with respect to its component indices is proven and the structure of the geometric model associated to the proposed network is studied. A close relationship between the measure called medium articulation and the geometric model associated with the proposed index is highlighted, which allows to determine the missing relationships in the network using structural analysis. The proposed index presents a more comprehensive measure than most indices currently used and has the advantage in the scalability, since other existing indicators can be integrated into our model.

Keywords: biomonitoring; geometric model; integrative evaluations; water body (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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