Water Resources Analysis: An Approach based on Agent-Based Modeling

Farias, Giovani Parente; Leitzke, Bruna; Born, Míriam Blank; Aguiar, Marilton Sanchotene de; Adamatti, Diana Francisca

doi:10.22456/2175-2745.94319

Cited by 9 publications

(6 citation statements)

References 27 publications

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“…The work of [29] simulated hydrographic basins of São Gonçalo and Lagoa Mirim with georeferenced data for water resources analysis using GAMA platform [40]. Their agentbased model considered agents as regions and rivers where its water can flow among neighbor regions.…”

Section: Discussionmentioning

confidence: 99%

“…The number and breadth of applications for ABM and simulation are truly remarkable and continue to grow [20]. There are many works that apply ABM to water resources Agent-Based Model for Simulating Irrigated Agriculture analysis [26,27,28,29,30]. Also, the application of ABM to agriculture and irrigation have received attention worldwide [31,32,33].…”

Section: Introductionmentioning

confidence: 99%

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An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás

Oliveira

Porto

Alves

et al. 2021

RITA

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Agriculture is one of the main economic activities in Brazil. The intensive use of water for irrigated agriculture leads to water rise demand contributing to increase water stress. Agent-based models help assess this problem with promising applications entailing an organizing principle to inform us of how to view a real-world system and effectively build a model. In this work, agent-based modeling is applied to simulate water usage for irrigation in agricultural production in the Samambaia river basin in the municipality of Cristalina in the Goias state of Brazil. The use of real data enables analysis of resource availability in a scenario with high demand irrigation, allowing a greater understanding of the needs of the parties involved.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás

Oliveira

Porto

Alves

et al. 2021

RITA

View full text Add to dashboard Cite

show abstract

“…The so-called WP prevention and control refers to the formulation of scientific and reasonable protection plans based on WP and daily treatment standards for a period of time, emphasizing the combination of "prevention" and "treatment" [8]. Generally speaking, the main objectives of WP prevention and control are: to take reasonable measures to maintain water ecology; Take appropriate wastewater treatment methods to improve water quality; Adjust the water resource utilization plan, promote the rational utilization of water resources, and avoid wasting water resources [9].…”

Section: Wp Preventionmentioning

confidence: 99%

Urban Water Pollution Prevention and Protection Based on Convolutional Neural Network

2022

WPPCP

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Although China's urbanization is developing rapidly and people's quality of life has been greatly improved, the water environment of people's life is getting worse and worse. Water pollution (WP) has become a major environmental problem endangering people's daily life. Water is an indispensable resource in people's daily life. People should cherish our limited water resources and strengthen the protection of water resources. Therefore, this paper deeply analyzes the current situation of WP in A city, and combines convolutional neural network (CNN) to simulate the morphological characteristics of pollutants in water. Through this study, it is found that the industrial pollution in City A has the greatest impact on the water environment. The industrial pollutants are directly discharged into the river basin, resulting in an increase in the content of COD, ammonia nitrogen and TP in the water body. In addition, there are problems in the prevention and control of WP in City A, such as weak government supervision, weak prevention and control willingness, and low participation of citizens in the prevention and control of WP. Therefore, this paper puts forward corresponding water resources protection suggestions, I hope it can provide reference for WP control in other cities.

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“…In particular, with the strengthening of development efforts and industrial transfer in the region, agriculture-related areas, i.e. new neighbourhoods and factories, have also been built, but because of the drainage system, rainwater and sewage are still not diverted from agriculture-related areas, and new sewage treatment plants and industrial plants do not divert rainwater effectively when precipitation is high [15][16]. The financial resources of the city of T are sometimes unable to meet the funding needs of the city's two levels of matching.…”

Section: Construction Of Sewage Collection Networkmentioning

confidence: 99%

Efficient Nonlinear Optimization Algorithm Based on Water Pollution Prevention System

2022

WPPCP

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Due to the emergence of water pollution (WP) problems in many places, these problems have not been completely solved and WP incidents still occur from time to time. Therefore, carrying out WP prevention and control work and solving WP problems have become important topics of discussion and research for relevant scholars. In this paper, an efficient non-linear optimisation algorithm is used to establish a water quality model, which can be used to assess the regional water quality conditions. This paper uses an efficient nonlinear optimization algorithm (ENOA) to establish a water quality model, which can be used to assess the regional water quality conditions. Through the analysis of the industrial and domestic production of sewage discharge in T city, the problems and suggestions of WP control in T city are put forward, hoping to improve the water environment and people's living standard in T city through scientific and reasonable development of WP prevention and control scheme in T city.

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Water Resources Analysis: An Approach based on Agent-Based Modeling

Cited by 9 publications

References 27 publications

An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás

An Agent-Based Model for Simulating Irrigated Agriculture in the Samambaia Basin in Goiás

Urban Water Pollution Prevention and Protection Based on Convolutional Neural Network

Efficient Nonlinear Optimization Algorithm Based on Water Pollution Prevention System

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