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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
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Multi-Scenario Simulation of Green Space Landscape Pattern in Harbin City Based on FLUS Model
1College of Landscape Architecture, Northeast Forestry University, Harbin 150040, China.
Summary
This study analyzed Harbin
Area of Science:
- Urban planning
- Environmental science
- Geographic information systems
Background:
- Green space planning is crucial for urban sustainability.
- Harbin, Northeast China, requires strategic green space management.
- Understanding landscape pattern changes informs future planning.
Purpose of the Study:
- To analyze green space changes and landscape patterns in Harbin under different development scenarios.
- To provide a decision basis for future green space planning in Harbin.
- To maximize comprehensive economic and ecological benefits through optimized planning.
Main Methods:
- Future Land Use Simulation (FLUS) model for green space prediction.
- Landscape index method for analyzing prediction results.
- Multi-Objective Planning (MOP) model with LINGO12.0 for benefit maximization.
Main Results:
- Decreased fragmentation of cultivated land, forest, and grassland from 2010-2020.
- Ecological protection scenario showed the largest forest increase (137.46 km²) and improved water quality.
- Sustainable development scenario yielded the highest economic and ecological benefits (CNY 435,860.88 million).
Conclusions:
- Future green space planning in Harbin should limit cultivated land expansion.
- Maintain spatial patterns of woodland and wetland, and enhance water area protection.
- Integrating landscape pattern analysis and multi-objective planning is vital for improving urban ecological and economic benefits.
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