This paper introduced the development of tourism and its impact on the water environment. Then, taking the West Lake Basin as an example, the change of water quality in the basin between 2007 and 2018 and the changes of tourism population, tourism economic income, and tourism garbage between 2007 and 2018 through Hangzhou Tourism Bureau were investigated to analyze the impact of human tourism activities on the water environment of the West Lake Basin. The results showed that the change in curve trends of the comprehensive pollution index, number of tourists, tourism economic income, and tourism garbage in the West Lake Basin was similar, all rising; reasons for the increase of water pollution in the basin are that the increase in the number of tourists led to the increase of garbage and the government pursued the tourism economic benefits unilaterally and neglected the pollution brought by the tourism activities. Finally, we put forward three measures to reduce pollution.

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In recent years, the rapid development of coastal areas has polluted the watershed water, affecting the ecological environment of wetland scenic spots. This paper briefly introduced the constructed wetland, a means of watershed water pollution control, and briefly explained its mechanism of water pollution control. Then, an example of Yancheng Coastal Wetland Natural Reserve in Jiangsu Province was analyzed to analyze water quality ecological changes in the basin before and after the construction of constructed wetland. The results showed that the basin of the natural reserve changed from acidic to alkaline, and ammonia nitrogen, total nitrogen, total phosphorus and chemical oxygen demand decreased significantly and maintained at a relatively low level after the constructed wetland controlled the water pollution in the basin; subsurface constructed wetland had a better effect on reducing ammonia nitrogen, total nitrogen and total phosphorus; surface constructed wetland had a better effect on reducing chemical oxygen demand. In conclusion, constructed wetlands as a means of water pollution control in the watershed can effectively improve the water quality ecology of coastal wetland natural reserves.

Digital footprints converge into a complex individual and group behavior picture, which truly reflects the user’s choice preference and deep-seated behavior law. However, its application in tourism needs to be further explored. Based on the core characteristics of consumption footprint, this paper applies it to tourism field to analyze tourists’ consumption behavior based on the theory of digital footprint and consumer behavior. This study aims at mining text data, analyzing its characteristics, creating a digital footprint integrated learning model and developing the mining and analysis technology of tourism digital footprints. This method can improve the accuracy of consumer decision-making tendency prediction, and the prediction results can be used to formulate targeted consumption strategies, so as to effectively stimulate consumption vitality and improve consumer satisfaction.