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Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

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Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Design Example: Sustainability in Concrete Building01:26

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As the construction industry moves towards more eco-friendly practices, concrete's adaptability and its ability to incorporate sustainable features make it a key material in the drive towards greener building solutions.
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Related Experiment Video

Updated: Dec 22, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Multi-Agent-Based Urban Vegetation Design.

Ahmed Khairadeen Ali1, Hayub Song1, One Jae Lee2

  • 1School of Architecture and Building Science, Chung Ang University, Seoul 06974, Korea.

International Journal of Environmental Research and Public Health
|May 2, 2020
PubMed
Summary

This study introduces an automated approach for urban vegetation design, using multi-agent systems to create rule-compliant pedestrian pathway plans. The tool aids urban planners and engages citizens in designing greener, more livable city spaces.

Keywords:
automatic modelingcomputational designmulti-agent systemurban vegetation designvisual algorithm

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Area of Science:

  • Urban Planning and Design
  • Computational Sustainability
  • Environmental Science

Background:

  • Urban vegetation is crucial for pedestrian walkways but faces challenges in integrated planning.
  • Current urban development prioritizes occupant needs and environmental impact, utilizing computational tools.
  • Multi-agent-based simulations offer potential for rule-compliant urban vegetation design.

Purpose of the Study:

  • To propose an automated urban vegetation city rule compliance approach for pedestrian pathways.
  • To leverage multi-agent systems and algorithmic modeling for vegetation design.
  • To enhance urban planning decision-making and citizen engagement in green space design.

Main Methods:

  • Developed a three-module approach: rule compliance (T-Rule), street vegetation design (T-Design), and multi-agent generation (T-Agent).
  • Focused on configurations of trees, shrubbery, and seating in urban pathways.
  • Validated the tool through a case study and user feedback via questionnaire.

Main Results:

  • The developed vegetation design tool successfully generated expected results in the case study.
  • Questionnaire feedback indicated the tool's potential for enhancing user experience.
  • The approach demonstrated effectiveness in rule compliance and design generation for urban pathways.

Conclusions:

  • The proposed tool aids urban planners in creating practical vegetation plans, surpassing traditional 2D methods.
  • It empowers city occupants to participate in designing their neighborhood's green spaces.
  • The approach can be integrated into interactive maps for enhanced citizen-planner collaboration and decision-making.