Abstract: Based on the increasing public awareness of environmental issues and with the guidance of eco-aesthetics ideology, the authors proposed an eco-aesthetics assessment index system of urban park green space landscape, and applied the RAGA-based PPC model to transform the multi-dimension data into low-dimension space, aimed to search for the optimum projection direction and the projection function value to realize the eco-aesthetics assessment of urban park green space landscape. The assessment index system and the model were then used to make landscape eco-aesthetics assessment of ten representative urban park green spaces in Daqing City. The results showed that the general landscape space diversity, vegetation color diversity, building and furniture arrangement rationality, tree species diversity, water body’s approachability, vegetation growth naturalness, landform naturalness, and building and furniture mass fitness had greater effects on the park green space landscape in Daqing City, which should be paid much attention in the landscape ecological construction, renovation, and management of the park green spaces in the future. Among the ten urban park green spaces, Oil Field Paradise and Urban Forest Park had the best eco-aesthetics effect, whereas Chengfeng Square and Century Avenue (high-tech development zone)- attached banding green space had the worse one. The model could avoid some deficiencies in traditional methods, and also, provide new idea and method for the study of comprehensive assessment, sequence analysis, and optimization of landscape assessment with fuzzy and uncertain high-dimension data.

Key words: Winter wheat, Dry year, Irrigation and nitrogen application, Physiological characteristics, Interactive effects, Yield factors