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Processing Technology Selection for Municipal Sewage Treatment Based on a Multi-Objective Decision Model under
Xudong Chen1, Zhongwen Xu2, Liming Yao3
1College of Management Science, Chengdu University of Technology, Chengdu 610059, China. chenxudong198401@163.com.
This study optimizes municipal sewage treatment plant construction by balancing environmental protection and economic benefits. A multi-objective decision model and genetic algorithm demonstrate effectiveness for sustainable urban water management.
Area of Science:
- Environmental Engineering
- Urban Planning
- Operations Research
Background:
- Municipal sewage treatment is critical for environmental protection and public health.
- Balancing ecological sustainability with economic viability presents a significant challenge in sewage infrastructure development.
- Optimizing the selection and design of sewage treatment plants requires a systematic decision-making framework.
Purpose of the Study:
- To develop a general multi-objective decision model for optimizing the construction of municipal sewage treatment plants.
- To integrate environmental protection and economic benefit considerations into the decision-making process.
- To provide a practical tool for informed decision-making in sewage treatment infrastructure projects.
Main Methods:
- Establishment of a multi-objective decision model incorporating site selection, processing technology, costs, and environmental impact indicators.
- Application of a genetic algorithm to test and validate the decision model.
- Case study analysis using a sewage treatment plant construction project in Chengdu.
Main Results:
- The developed multi-objective decision model effectively optimizes municipal sewage treatment plant construction.
- The genetic algorithm implementation confirmed the model's applicability and efficiency.
- The study demonstrated a viable approach for balancing environmental and economic factors in infrastructure development.
Conclusions:
- The multi-objective decision model offers a robust framework for optimizing sewage treatment plant construction.
- This research provides valuable decision support for enhancing municipal sewage treatment strategies.
- The findings contribute to more sustainable and cost-effective urban water management solutions.
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