Marco Antonio Martínez-Cinco

Universidad Michoacana de San Nicolás de Hidalgo

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Sonia Tatiana Sánchez-Quispe

Universidad Michoacana de San Nicolás de Hidalgo

Ahmad Abuharara

Omar Al-Mukhtar University

Daniele L. Pinti

Université du Québec à Montréal

Aída López-Hernández

Universidad Michoacana de San Nicolás de Hidalgo

Joel Hernández Bedolla

Universidad Michoacana de San Nicolás de Hidalgo

M. Clara Castro

Universidade do Estado de Santa Catarina

Orfan Shouakar‐Stash

University of Waterloo

Mario Alberto Hernández

Universidad Nacional Autónoma de México

María del Mar Navarro-Farfán

Universidad Michoacana de San Nicolás de Hidalgo

Liliana García-Romero

Universidad Michoacana de San Nicolás de Hidalgo

Cooperative Institutions

Universidad Michoacana de San Nicolás de Hidalgo

University of Arizona

Universidad Nacional Autónoma de México

Sonora Institute of Technology

Ain Shams University

Zagazig University

Université du Québec à Montréal

Centre de Géomatique du Québec

Instituto de Investigaciones Agropecuarias

Centro Universitário Curitiba

Author Statistics

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Methodology for the assessment of poor-data water resources

PeerJ (2024)

María del Mar Navarro-Farfán Liliana García-Romero Marco Antonio Martínez-Cinco Constantino Domínguez-Sánchez Sonia Tatiana Sánchez-Quispe

Surface hydrologic modeling becomes a problem when insufficient spatial and temporal information is available. It is common to have useful modeling periods of less than 15 years. The purpose of this work is to develop a methodology that allows the selection of meteorological and hydrometric stations that are suitable for modeling when information is scarce in the area. Based on the scarcity of data, a series of statistical tests are proposed to eliminate stations according to a decision-making process. Although the number of stations decreases drastically, the information used is reliable and of adequate quality, ensuring less uncertainty in the surface simulation models. Individual basin modeling can be carried out considering the poor data. The transfer of parameters can be applied through the nesting of basins to have information distributed over an extensive area. Therefore, temporally and spatially extended modeling can be achieved with information that preserves statistical parameters over time. If data management and validation is performed, the modeled watersheds are well represented; if this is not done, only 26% to 50% of the runoff is represented.

Hydrological modelling

Scarcity

10.7717/peerj.17755

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Cálculo de conductividad hidráulica de estudio litológico en el Valle de Ags, México y comparativa del rendimiento del modelo subterráneo con su uso

Ciencia Nicolaita (2024)

Roxana Nicte-Há Hughes Lomelín Marco Antonio Martínez-Cinco Sonia Tatiana Sánchez-Quispe Joel Hernández Bedolla

En este trabajo se comparan los rendimientos de los modelos subterráneos del acuífero Valle de Aguascalientes, México realizados en MODFLOW utilizando conductividades hidráulicas (Kh) equivalentes determinadas a partir de estudios litológicos, y utilizando Kh supuestas. Se configuró y se calibró el modelo, se calcularon los índices de calidad de ajuste para cada simulación, y se compararon; además, se compararon visualmente los niveles piezométricos del acuífero. Se encontró que el rendimiento global del modelo utilizando Kh equivalentes es mejor que el modelo utilizando Kh supuestas, tanto en la distribución espacial de flujos como en los índices, por lo que invertir trabajo previo en la determinación de parámetros da como resultado en modelos más robustos.

10.35830/cn.vi90.780

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Assessment of Nitrate in Groundwater from Diffuse Sources Considering Spatiotemporal Patterns of Hydrological Systems Using a Coupled SWAT/MODFLOW/MT3DMS Model

Hydrology (2023)

Alejandra Correa-González Joel Hernández Bedolla Marco Antonio Martínez-Cinco Sonia Tatiana Sánchez-Quispe Mario Alberto Hernández

In recent years, due to various anthropogenic activities, such as agriculture and livestock, the presence of nitrogen-associated contaminants has been increasing in surface- and groundwater resources. Among these, the main compounds present in groundwater are ammonia, nitrite, and nitrate. However, it is sometimes difficult to assess such effects given the scarcity or lack of information and the complexity of the system. In the current study, a methodology is proposed to assess nitrate in groundwater from diffuse sources considering spatiotemporal patterns of hydrological systems using a coupled SWAT/MODFLOW/MT3DMS model. The application of the model is carried out using a simplified simulation scheme of hydrological and agricultural systems because of the limited spatial and temporal data. The study area includes the Cuitzeo Lake basin in superficial flow form and the Morelia–Querendaro aquifer in groundwater flow form. The results within the methodology are surface runoff, groundwater levels, and nitrate concentrations present in surface- and groundwater systems. The results indicate that the historical and simulated nitrate concentrations were obtained within acceptable values of the statistical parameters and, therefore, are considered adequate.

MODFLOW

Base flow

SWAT model

Groundwater model

Groundwater discharge

10.3390/hydrology10110209

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Citations (6)

Comparison between MODFLOW Groundwater Modeling with Traditional and Distributed Recharge

Hydrology (2024)

María del Mar Navarro-Farfán Liliana García-Romero Marco Antonio Martínez-Cinco Mario Alberto Hernández Sonia Tatiana Sánchez-Quispe

Groundwater models serve the function of predicting and analyzing aquifer behavior. They require input information, such as hydrogeological parameters like hydraulic conductivity and storage coefficient, which are used to calibrate the model, and elementary actions that include recharge and extracted volumes. There are cases in which it is insufficient to know the homogeneous recharge entering through the surface basin, referred to as traditional recharge, since, in many instances, the distribution is altered by changes in land use. For this reason, based on the geomorphological characteristics of the basin, weighting is proposed for sites with greater recharge capacity. The present work shows a solution to the recharge distribution using the potential groundwater recharge (PGR) map, which is formed by weighting spatially distributed information: (i) drainage, (ii) precipitation, (iii) land use, (iv) geological faults, (v) soil type, (vi) slope, and (vii) hydrogeology. A comparison is made between groundwater modeling using traditional recharge and PGR recharge. It is noted that the modeling perform similarly for both recharges, and the errors do not exceed 5% absolute error, which validates the model’s reliability. This manuscript demonstrates how to model and calibrate groundwater in aquifers with scarce information and variable recharge, making it reproducible.

Depression-focused recharge

Groundwater model

MODFLOW

10.3390/hydrology11010009

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Citations (4)

Source apportionment of PM_2.5 for supporting control strategies in the Monterrey Metropolitan Area, Mexico

Journal of the Air & Waste Management Association (2016)

Marco Antonio Martínez-Cinco Jesús Santos‐Guzmán Gerardo M. Mejia-Velazquez

The Monterrey Metropolitan Area (MMA) in Northeast Mexico has shown high PM2.5 concentrations since 2003. The data shows that the annual average concentration exceeds from 2 to 3 times the Mexican PM2.5 annual air quality standard of 12 µg/m3. In a previous work we studied the chemical characterization of PM2.5 in two sites of the MMA during the winter season. Among the most important components we found ammonium sulfate and nitrate, elemental and organic carbon, and crustal matter. In this work we present the results of a second chemical characterization study performed during the summer time and the application of the chemical mass balance (CMB) model to determine the source apportionment of air pollutants in the region. The chemical analysis results show that the chemical composition of PM2.5 is similar in both sites and periods of the year. The results of the chemical analysis and the CMB model show that industrial, traffic, and combustion activities in the area are the major sources of primary PM2.5 and precursor gases of secondary inorganic and organic aerosol (SO2, NOx, NH3, and volatile organic compounds [VOCs]). We also found that black carbon and organic carbon are important components of PM2.5 in the MMA. These results are consistent with the MMA emission inventory that reports as major sources of particles and SO2 a refinery and fuel combustion, as well as nitrogen oxides and ammonium from transportation and industrial activities in the MMA and ammonium form agricultural activities in the state. The results of this work are important to identify and support effective actions to reduce direct emissions of PM2.5 and its precursor gases to improve air quality in the MMA. Implications: The Monterrey Metropolitan Area (MMA) has been classified as the most air-polluted area in Mexico by the World Health Organization (WHO). Effective actions need to be taken to control primary sources of PM2.5 and its precursors, reducing health risks on the population exposed and their associated costs. The results of this study identify the main sources and their estimated contribution to PM2.5 mass concentration, providing valuable information to the local environmental authorities to take decisions on PM2.5 control strategies in the MMA.

Refinery

Emission inventory

10.1080/10962247.2016.1159259

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Citations (14)

Phase segregation, boiling, and reinjection at the Los Azufres Geothermal Field, Mexico, monitored by water stable isotopes, chloride, and enthalpy

Journal of Volcanology and Geothermal Research (2019)

Sandra Núñez-Hernández Daniele L. Pinti Aída López-Hernández Orfan Shouakar‐Stash Marco Antonio Martínez-Cinco

Brine

10.1016/j.jvolgeores.2019.106751

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Citations (8)

Serum matrix metalloproteinase-9 in children exposed to arsenic from playground dust at elementary schools in Hermosillo, Sonora, Mexico

Environmental Geochemistry and Health (2019)

Leticia García‐Rico Diana Meza‐Figueroa Paloma I. Beamer Jefferey L. Burgess Mary Kay O’Rourke

10.1007/s10653-019-00384-6

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Citations (4)

The significance of biowaste drying analysis as a key pre-treatment for transforming it into a sustainable biomass feedstock

PeerJ (2024)

Fernando Damián Barajas Godoy Marco Antonio Martínez-Cinco José Guadalupe Rutiaga-Quiñones Otoniel Buenrostro-Delgado José G. Mendoza

The objective of this study is to investigate the drying kinetics of fruit and vegetable peel biowaste using a sustainable technique as a key-pretreatment for its conversion into useful feedstock. Biowaste represents a missed potential source of bioenergy and bioproducts, but moisture removal is required, and conventional drying methods are expensive since they require great quantity of energy supplied, almost always, by a non-renewable energy. In this study six batches with the same quantity of biowaste, and heterogeneous physical composition were dried under open-sun conditions. We evaluated the influence of the interaction between drying area and the initial moisture content on drying rate. Eight semi-theoretical models were fitted using Levenberg-Marquardt algorithm to predict drying rate, and their accuracy was assessed through goodness-of-fit tests. Maximum moisture content to preserve biomass (10%) was reached on 5

10.7717/peerj.18248

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Citations (0)

Towards a clean environment: The potential application of eco-friendly magnesia-silicate cement in CO2 sequestration

Journal of Cleaner Production (2019)

Hamdy A. Abdel‐Gawwad Hassan Soltan Hassan S. R. Vásquez-García Isabel Israde-Alcántara Yung‐Chin Ding

Gravimetric analysis

Cementitious

Volcanic ash

Environmentally Friendly

10.1016/j.jclepro.2019.119875

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