【摘要】：城市生態(tài)用地規(guī)劃是城市生態(tài)系統(tǒng)保護的重要基礎(chǔ)和前提。針對傳統(tǒng)空間規(guī)劃方法的不足,提出基于蟻群優(yōu)化算法的城市生態(tài)用地空間規(guī)劃模型。研究對蟻群優(yōu)化算法的空間禁忌策略、選擇策略進行改進,考慮了城市生態(tài)用地的生態(tài)效益和空間集約性,在規(guī)劃目標(biāo)函數(shù)中引入生態(tài)適宜性、空間緊湊度和最鄰近距離指數(shù),并設(shè)計最鄰近距離指數(shù)的柵格計算方法。以廣州市為例,分別模擬城市生態(tài)用地占廣州市面積15%,30%和50%情景下的生態(tài)用地規(guī)劃方案,取得了較好的效果。研究表明:基于蟻群優(yōu)化算法的城市生態(tài)用地空間規(guī)劃模型能夠合理的對城市生態(tài)用地的空間布局進行配置,明顯提高了城市生態(tài)用地生態(tài)效益和空間集約性。
[Abstract]:Urban ecological land use planning is an important basis and premise of urban ecosystem protection. Aiming at the shortcomings of traditional spatial planning methods, a spatial planning model of urban ecological land based on ant colony optimization algorithm is proposed. The spatial taboo strategy and selection strategy of ant colony optimization algorithm are improved, and the ecological benefit and spatial intensity of urban ecological land are taken into account. Ecological suitability, spatial compactness and nearest neighbor distance index are introduced into the planning objective function, and the grid calculation method of nearest neighbor distance index is designed. Taking Guangzhou as an example, the planning scheme of urban ecological land accounting for 15%, 30% and 50% of Guangzhou's area has been simulated respectively, and good results have been obtained. The results show that the spatial planning model of urban ecological land based on ant colony optimization algorithm can reasonably allocate the spatial layout of urban ecological land, and obviously improve the ecological benefit and spatial intensification of urban ecological land.
【作者單位】： 河南大學(xué)環(huán)境與規(guī)劃學(xué)院;黃河中下游數(shù)字地理技術(shù)教育部重點實驗室;中山大學(xué)地理科學(xué)與規(guī)劃學(xué)院;安徽理工大學(xué)測繪學(xué)院;
【基金】：國家自然科學(xué)基金青年項目(41401457);國家自然科學(xué)基金重點項目(41431178) 國家科技支撐計劃項目(2013BAC05B01) 河南省高等學(xué)校重點科研項目計劃(15A170003)資助~~
【分類號】：F299.23

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本文編號：2501317