Integrando a modelagem da alocação de água ao sistema de indicadores FPEIR: aplicação ao semiárido do Brasil

Araújo, Matheus Duarte de; Ribeiro, Márcia Maria Rios; Braga, Cybelle Frazão Costa

doi:10.1590/s1413-41522019184425

Cited by 3 publications

(3 citation statements)

References 19 publications

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“…In Brazil, studies aimed at public policies included the DPSIR in the field of water resources. In the search for better water demand management strategies in the Apodi-Mossoró river basin (RN-Brazil), the DPSIR identified flaws in the demand service system by analyzing four allocation strategies and variations in the conditions required reservoirs [32]. The mapping and diagnosis with the DPSIR method of sub-basins, such as the Mampituba River in southern Brazil, showed the primary pressure generating activities.…”

Section: The Dpsir Conceptual Frameworkmentioning

confidence: 99%

Development Indicators and Soybean Production in Brazil

Toloi

Bonilla

Toloi³

et al. 2021

Agriculture

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Due to its agricultural potential, land extensions, and favorable climate, Brazil is one of the largest producers and exporters of various agricultural products. A significant part of this production is placed in Mato Grosso, the primary national producer of several agricultural commodities. The soybean complex alone produced more than 33 million tons of soybean for the 2019/2020 harvest, representing 27% of national production. The economic potential that the soybean commodity represents is linked to the increase in demand for inputs, planted area, production, and productivity. Given these factors, the present study aims to analyze how the largest municipalities of soybean production behave, and the degree of interaction and positive associations between the economic potential promoted by soybean production and the economic/social development and environmental impacts in the Mato Grosso State, Brazil. The methodology was to categorize the thirty largest soybean producing municipalities, using the factor analysis method for selected indicators. The interpretation is made through the adoption of the Driver-Pressure-State-Impact-Response (DPSIR) framework. The results indicated that the groups formed are not homogeneous in terms of socio-economic and environmental development. The three factors that formed, were interpreted using the DPSIR are characterized by the significant influence of the population, reflect on its development, how economic activities are other and not just agriculture. The second also belongs to the driver in the DPSRI framework group. It is associated with the soybean production indicator, implying larger planting areas, generating jobs focused on agricultural activities. The interpretation is made through the adoption of the Driver-Pressure-State-Impact-Response (DPSIR) framework. The results indicated that the groups formed are not homogeneous in terms of socio-economic and environmental development. The significant influence of the population characterizes the three found factors. The first reflects on the region’s development and how other economic activities (not just agriculture) are carried on. The second also belongs to the driver in the DPSRI framework group, and it is associated with the soybean production indicator, generating jobs focused on agricultural activities. The third group, formed by municipalities in the Amazon region, with environmental factors associated with large geographical areas, extensive native forests, and more significant carbon sequestration, considers the DPSRI framework’s impacts. Showing that there are behavior patterns and taking this into account is the optimal way to use the predictors appropriately. Municipalities are expected to be more reactive to some changes than to others to achieve a good level of development.

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Section: The Dpsir Conceptual Frameworkmentioning

confidence: 99%

Development Indicators and Soybean Production in Brazil

Toloi

Bonilla

Toloi³

et al. 2021

Agriculture

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“…Meeting the extensive water demands is a challenge to Brazil's semiarid region mainly due to population growth, economic development, the increase in the rate of urbanization in recent years and the diversity of weather conditions (Araújo et al, 2019). Barros et al (2016) state that semiarid regions, such as the one in which the Epitácio Pessoa Reservoir is located, in Paraíba, present precipitation with significant spatial and temporal irregularity in addition to a high evaporation rate.…”

Section: Introductionmentioning

confidence: 99%

“…In a hybrid approach, flow network modeling was associated with, among others, the FPEIR matrix (Araújo et al, 2019) for environmental diagnosis, with the construction of water management scenarios to evaluate water transfer capacities between basins (Shourian et al, 2017) and with multicriteria analysis for definitions of environmental preservation areas (Santos et al, 2019) and vulnerability status of water resource systems (Shabbir and Ahmad, 2016;Alamanos et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

A hybrid approach associating flow network modeling with AHP-Entropy for simulating and ranking water-demand management alternatives

Araújo¹,

Oliveira²

2021

Rev. ambiente água

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In view of the water crises historically experienced by Brazil’s semi-arid region, it is necessary to search for methodological tools that allow us to propose efficient alternatives for managing water demand. In this regard, the present study developed and applied a hybrid approach of flow network modeling and the Analytic Hierarchy Process (AHP) combined with Shannon’s entropy for simulating and prioritizing water demand management alternatives in the Epitácio Pessoa Reservoir in the Brazilian semiarid region. The approach initially performed simulations of the hydro system flow network to explore rational alternatives that evaluated the following criteria: meet the demands of human supply, meet the demands for irrigation, maintain the reservoir above the target volume, and reduce consumption. Subsequently, Shannon's entropy was used to assess the importance of the criteria and the multicriteria analysis of ranking of alternatives was built. Finally, a sensitivity analysis of the model was performed regarding the dependence on respective weights of the criteria. The results made enabled evaluation of the hydro system’s water security, highlighting insufficient supply by the single measure of water management transposition of the São Francisco River, and based on the hierarchy of alternatives, suggesting actions to improve the sustainability of water use, such as reuse of water, reduction of losses in supply systems and increasing irrigation efficiency. The proposed hybrid approach permitted the synthesis of the simulation’s results, which may simplify and support the decision-making process in water-demand management.

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