The evaluation of tourism festival activities impact on water environment in DongPing Forest Park based on the grey relational recognition model

摘要

This paper takes Shanghai Chongming Dongping Forest Park as the studying area; and takes the water environment in park which has the most intensive tourism activities as the research objects; selects the grey relational recognition model to analyze the temporal variation of the water environment before and after the Dongping Forest Festival, and uses PCA ordination with the ecological software CANOCO to analyze the spatial variation of water quality, so as to evaluate the impact of human tourism activities on water environment in temporal and spatial scale. The results show that: (1) the impact of "agglomeration effect" during the tourism festival on water environment is very obvious; the large number of tourists greatly affects the water environment near the "Farmhouse Restaurant" during the festival, causing substantial change of all kinds of indexes of water quality, and short-term rapid deterioration of water quality; (2) It seems from the analysis on monitoring results that after a large number of tourism activities, the self-purification capacity of water has improved, the ecological recreation activities (such as artificial ship) can effectively reduce the impact of tourism activities on the environment; it should be advocated energetically in the development and management of tourism resources; (3) From the spatial variation analysis of water quality, main pollutants of each water area can be determined through PCA ordination, the waters show three groups of feature type distribution: Group 1 ("Farmhouse Restaurant", "Background2", "Fishing area") shows that the content of COD and the pollutants of organic increased; Group 2 ("Background 1") shows that the content of TN and the pollutants of organic increased; Group 3 ("Barbecue area", "Cruise area", "Around waterway", "Viewing area" ) shows that the content of TN increased but the TP decreased.