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China's Green Space System Planning (GSSP) research has gradually expanded from central urban areas to municipal and provincial scales in recent years. Besides, the research on the role of green space in the water environment has also attracted much attention. However, the study of green corridors usually ignored hydrological data, which widespread absence especially in the large area scale. And the scale of green corridor construction mainly focused on central urban areas. This paper took China's Fujian province as an example. Based on the DEM elevation data, the article identified blue corridors without hydrological data. In addition, the green corridors were determined based on the land use data. According to the green corridors and blue corridors protection, we identified the ecological networks and nodes by the network analysis method. The results showed that the blue corridors identified by DEM data were consistent with the hydrological status quo. The regional status of the identified ecological networks and nodes were basically in line with their characteristics, proving the value of the planning methods. Finally, based on the identification results, suggestions for Fujian's ecological networks and nodes are put forward. [ABSTRACT FROM AUTHOR]

bstract: As a reflection of the relationship between human and mountainous environment, urban planning has an impact on the mountainous environment by changing the topography, landform and spatial layout. A good urban planning can mitigate and adapt to the mountainous environmental impact. Urban master planning involves the interrelationships and interactions of various components of urban complex systems. Planning Support System (PSS), as a technical means to assist planning decision-making, is mostly based on the construction mode of "user (stakeholder) - system". Its strong professional characteristics are not conducive to the consensus of diverse stakeholders on urban planning. The aim of this paper is therefore to build an augmented planning support system framework that is based on complex adaptive system theory, this framework is ontology-driven, and thus will enable the generation of a planning support prototype system for mountainous urban master planning founded on this framework. The framework fuses the urban planning ontology and the planning support system together, which helps different urban agents to reach a consensus based on a common understanding of urban planning. The defect is that the construction of the urban planning ontology is still manually constructed. The approach advocated here will enable a common understanding of mountainous urban master planning, support efficient and flexible decision in this area, and provide reference framework for future mountainous urban master PSS developments and application. The PSS prototype developed based on augmented planning support system framework has been applied to the urban master planning of Changting County in Fujian Province, China. Through the application of multiscenario analysis, urban agents can deepen their understanding of the current situation and future development of the city, and ultimately helps to promote urban planning decisions and implementation. [ABSTRACT FROM AUTHOR]