Analytic hierarchy process (AHP) applied to flood susceptibility in São José dos Campos, São Paulo, Brazil

Abstract

The changes in environmental factors in a hydrographic basin, mainly in the urban environment, enable different scenarios than the change of parameters in climatic, physical, political, and socioeconomic factors. Those changes may have immediate effects on indigenous populations, often making them vulnerable to the risk of flooding. This article evaluates the vulnerability to flooding in the municipality of São José dos Campos, State of São Paulo, Brazil using multicriteria analysis and geoprocessing techniques. Quantum GIS (QGIS) was used in the manipulation and processing of vector and matrix data related to the terrain slope, hydrography, geotechnics, and data history of flooding (2009 - 2018) in São José dos Campos. The hierarchy and criteria weighting processes were carried out, as well as the zoning of areas at risk of flooding. Thus, it was found that 23.81% and 2.17% of the municipal territory has high and very high susceptibility to flooding. It can be concluded that the combined use of multicriteria analysis and geoprocessing is an effective contribution to assist the management of public policies in order to obtain more assertive decisions in the prevention or reduction of flood risks.

A framework for the prioritization of industry 4.0 and lean manufacturing technologies based on network theory

“…Network theory is an interdisciplinary area that involves the mathematical formalism of graph theory and analyzes based on statistical tools (Silva, 2016). It emerged almost twenty years ago with the need for characterizing and extracting relevant information from interacting complex systems, such as the internet, the biological networks of the cell, and social networks (Bianconi, 2015).…”

“…The resulting network connects technological competencies in terms of productive capacity. Based on the theory that the space of technological competences highlights the ways in which competences are more easily aggregated, Silva (2016) proposed a method to identify new technological competences to be developed by Science and Technology Institutions. Knowing of these network theory applications, we have synthesized our literature findings in Table 1, to present the most similar studies in comparison to the present work.…”

“…The equation predicts that the conditional probabilities are not symmetric, that is, the probabilities of having "t2" applied, given "t1", and of having "t1" applied, given "t2", are not equal. Thus, the division by the maximum ubiquity makes the process symmetrical and more rigorous (Hausmann et al, 2011;Silva, 2016). As a result of the equation, proximity values are real numbers equal or higher than zero, and equal or lower than one.…”

“…The database quantified MTMT applications in Brazilian companies, which enabled the development of six networks that highlight adoption patterns for specific industrial sectors, which were named technology networks. Analogously to the studies of Hausmann et al (2011) and Silva (2016), it is possible to assume that new MTMT are more easily implemented when combined with existing ones. This idea is the core concept of the proposed the framework, which offers a comprehensive and practical approach for assessing three factors that lead to a MTMT prioritization: network attractiveness, investment required and potential gains.…”

Flood Susceptibility Modelling Using Geospatial-Based Multi-Criteria Decision Making in Large Scale Areas

“…Analytical Hierarchy Process (AHP) is one of the most widely applied MCDM methods, and it is the most preferred technique in natural hazards assessment and flood modeling studies (Mallick et al, 2018). da Silva et al (2020) produced a map to detect flood susceptible areas with the joint application of geoprocessing techniques and multi-criteria analysis AHP. The authors of the study asserted that this mapping includes information about the area's critical points, making it possible to reduce uncertainties related to public interest policies such as housing plans.…”