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Updated: May 17, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Research on low-Impact development layouts in old urban residential communities based on multi-objective optimization
Fuqin Liu1, Yijun Fan1, Xinran Liu1
1School of Civil Engineering, Architecture, and Environment, Hubei University of Technology, Wuhan, Hubei, China.
This study optimized sponge city transformations in old residential areas. Runoff reduction increases with cost, but offers diminishing returns above 1.4 million yuan, balancing budget and land use is key.
Area of Science:
- Urban planning
- Environmental engineering
- Water resource management
Background:
- Sponge city transformations in old urban areas face challenges like poor drainage and limited renovation space.
- Optimizing these transformations requires balancing multiple objectives.
Purpose of the Study:
- To investigate optimal low-impact development (LID) strategies for old residential communities in Beijing.
- To identify trade-offs between construction costs, runoff reduction, and drainage system performance.
Main Methods:
- Utilized the Storm Water Management Model (SWMM) integrated with the Non-dominated Sorting Genetic Algorithm II (NSGA-II).
- Optimized LID layout considering construction costs, runoff reduction, node overload time, and maximum LID area constraints.
Main Results:
- A Pareto optimal curve was identified, showing runoff reduction rate is proportional to construction cost.
- Runoff reduction benefits plateau when construction costs exceed 1.4 million yuan.
- Increased construction costs and runoff reduction correlate with decreased average node overload time.
Conclusions:
- Selecting transformation schemes requires balancing budget, land use, and desired runoff reduction.
- The study provides a framework for cost-effective sponge city upgrades in similar urban settings.
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