Construction of complex network of green infrastructure in smart city under spatial differentiation of landscape

Abstract

In the rapid urban and economic development, environmental problems have become prominent due to urban expansion and land imbalances. However, good historical and cultural landscapes are distributed in urban centers in large cities, and ecologically-friendly forests, lakes, or farmlands are distributed around these cities. It has the spatial differentiation of landscape resources. Landscape resources are used to build a composite green foundation, and the network of facility can improve urban environmental problems. The methods used in the work included landscape connectivity, minimum cumulative resistance model, Gravity model, Kernel Density Analysis, and Circuit theory. Through these methods, the ecological and cultural landscape networks were constructed, forming a composite network of green infrastructure by organic coupling of node composite, construction of composite landscape corridor, and corridor composite. The results showed that the subjective analysis and landscape connectivity analysis were used to quantitatively evaluate the importance of patches, thus selecting the superior ecological nodes. The minimum cumulative resistance analysis and gravity model were used to extract the GI corridors and their importance, respectively, with ecological landscapes constructed. Kernel density analysis and circuit theory could determine the cultural landscape nodes and extract cultural landscape corridors. Node composite, composite landscape corridor construction, and corridor composite are important methods to couple the composite green infrastructures. Compared to traditional ecological network, it can protect regional culture and ecology.