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Habitability conditions for floods: the case of Tuxtla Gutiérrez, Chiapas, Mexico

MARCELINO GARCIA BENITEZ Saul Nucamendi Hernandez Omar Ávila Flores (2022, [Artículo, Artículo])

At present, there are changes in the environment that favor the presence of extreme climatic phenomena such as floods, this exposure implies that the populations of urban areas suffer effects on their material assets, which limits their capacity for individual and / or family development. Given the lack of local territorial planning, the establishment of colonies was allowed on the banks of the Sabinal river and its tributaries that present episodes of flooding during the rainy season (Sistema Municipal de Protección Civil, 2015).

 

The study evaluates the habitability conditions of the urban population exposed to flooding, the city of Tuxtla Gutiérrez, Chiapas is taken as a reference, since historically it is a recurring problem during the summer. The methodology interrelates geostatistical, spatial and cartographic databases with hemerographic information sources based on the review of the literature for the construction of the general index, determined in dimensions that group social, economic, educational aspects, availability of basic services, goods with those that count the dwellings and their accessibility, etc., on a geographical scale of Urban Geostatistical Areas (AGEB).

 

The results obtained generated an index on the distribution of habitability conditions by urban Ageb, they are interrelated with spatial data on floods and their relationship with Sustainable Development Goal 11 (ODS), which proposes to improve infrastructure conditions in cities and towns. sustainable communities so that the inequality originated among the population exposed to future extreme flood events that occur in the different areas that make up the city is reduced.

Habitability conditions floods Sustainable Development Goals urban Ageb city of Tuxtla Gutiérrez, Chiapas AGEB urbana ciudad de Tuxtla Gutiérrez, Chiapas condiciones de habitabilidad inundaciones CIENCIAS SOCIALES CIENCIAS SOCIALES

Comparison of Different Classifiers and the Majority Voting Rule for the Detection of Plum Fruits in Garden Conditions.

Razieh Pourdarbani Sajad Sabzi Mario Hernández Hernández José Luis Hernández-Hernández Ginés García_Mateos Davood Kalantari José Miguel Molina Martínez (2019, [Artículo])

Color segmentation is one of the most thoroughly studied problems in agricultural applications of remote image capture systems, since it is the key step in several different tasks, such as crop harvesting, site specific spraying, and targeted disease control under natural light. This paper studies and compares five methods to segment plum fruit images under ambient conditions at 12 different light intensities, and an ensemble method combining them. In these methods, several color features in different color spaces are first extracted for each pixel, and then the most e

ective features are selected using a hybrid approach of artificial neural networks and the cultural algorithm (ANN-CA). The features selected among the 38 defined channels were the b* channel of L*a*b*, and the color purity index, C*, from L*C*h. Next, fruit/background segmentation is performed using five classifiers: artificial neural network-imperialist competitive algorithm (ANN-ICA); hybrid artificial neural network-harmony search (ANN-HS); support vector machines (SVM); k nearest neighbors (kNN); and linear discriminant analysis (LDA). In the ensemble method, the final class for each pixel is determined using the majority voting method. The experiments showed that the correct classification rate for the majority voting method excluding LDA was 98.59%, outperforming the results of the constituent methods.

remote sensing in agriculture artificial neural network hybridization environmental conditions majority voting plum segmentation INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ALIMENTOS

Seed integrity, effect of temperature and storage time on germination of Populus luziarum and P. primaveralepensis, endangered subtropical species from Mexico

César Jacobo Pereira MIGUEL ANGEL MUÑIZ CASTRO JOSE ANTONIO VAZQUEZ GARCIA Joel David Flores Rivas ALEJANDRO MUÑOZ URIAS FRANCISCO MARTIN HUERTA MARTINEZ (2022, [Artículo])

"Background: Populus luziarum and P. primaveralepensis are endemic species of western Mexico; growing in riparian forests they are critically endangered. The best way to conserve their seeds is unknown, which could be limiting for their conservation.

Hypothesis: The germinability of both subtropical species is like that of boreal and template Salicaceae species that disperse seeds in spring and early summer, as they germinate quickly with high percentages, and rapidly lose their viability when stored at ambient temperature.

Studied species: Populus luziarum and P. primaveralepensis. Study site and dates: Western Trans-Mexican Volcanic Belt. Jalisco, Mexico. October 2019.

Methods: The physical integrity of the seeds was assessed by X-ray imaging and compared with germinability. In addition, the effect of storage time (nine weeks) under two temperatures (4 and 21 °C) on the percentage and mean germination rate was evaluated.

Results: No significant differences were found between physical integrity and germination in freshly collected seeds for both species. Germination in the first 24 hrs was 91 and 95 % for Populus luziarum and P. primaveralepensis, respectively (week 0). Germination percentages were lower when stored at 21 °C, but P. primaveralepensis was decreased more slowly.

Conclusions: Seeds of subtropical Populus respond similarly to those of species from temperate and boreal climates with early seed dispersal, a crucial condition for establishing ex situ reforestation and conservation programs."

Salicaceae Seed physical integrity Seed storage conditions Subtropical endemic species White poplars BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) BIOLOGÍA VEGETAL (BOTÁNICA)