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In view of the various constraints faced by cultural tourism industry in the process of integrated development, fifteen risk factors affecting the integration of the cultural tourism industry are analyzed from five dimensions. Taking the cultural tourism industry in Hefei as the research object, this paper analyzes the centrality and cause degree of each risk factor with the DEMATEL method. Combined with the ISM method, it analyzes the structure of risk factors for the integration of Hefei's cultural tourism industry, then sorts it into the deep factors, intermediate factors and convergence factors. The results show that the centrality of market integration risk is the highest; technology convergence risk and organizational convergence risk are the two key underlying risks; product fusion risk is a conductive risk; insufficient market adhesion is the main risk outcome factor, and it is also a direct reflection of the cultural tourism industry integration risk. According to the analysis results, relevant suggestions were put forward to promote the further integration and development of cultural tourism industry in Hefei. [ABSTRACT FROM AUTHOR]

In the dynamic ensemble selection algorithm, the region of competence of the test sample was composed of fixed samples, which would affect the classifier selection. Therefore, the paper proposed the DES-DCR-CIER algorithm based on dynamic region of competence strategy. Firstly, this algorithm used the heterogeneous classifier to generate the base classifier pool to deal with the problem that the difference between the homogeneous ensemble classifiers was little and the number of heterogeneous ensemble classifiers was small. Next, it applied three steps including the mutual K nearest neighbor with adaptive distance algorithm, approaching the distance center of the sample set and removing the class edge samples to determine the dynamic region of competence of the test sample and it used overall complementarity index to select a set of classifiers. Finally, the classifiers were synthesized by the ER rule to get integration. Experiments on the diagnosis data of breast mass from 8 sonographers in a tertiary hospital in Hefei, Anhui Province and American Wisconsin Breast Cancer Diagnostic data set showed that the diagnostic model based on the DES-DCR-CIER algorithm had better accuracy. [ABSTRACT FROM AUTHOR]

In order to quantitatively analyze the relationship between the phreatic evaporation and water surface evaporation of different soil textures in bare soil area, soils with different texture and sand samples were taken from the test site in Hefei University of Technology. After pretreatment such as drying and particles sieving, 4 types of homogeneous test materials were selected including coarse sand, fine sand, loam and sand soil. Then, a self-made phreatic evaporation measurement device was made with diameters of 60 and 25 mm and a height of 42 mm. It can easily solve the problem of automatic water replenishment during the evaporation process, so that the groundwater depth can always be 0. Based on the self-designed device, a total of 5 groups of comparative test schemes were constructed, including coarse sand, fine sand, loam, sandy soil and water in bare soil area. Under the same environmental conditions, daily phreatic evaporation of the 4 different soil textures and water surface evaporation were observed for a total of 127 days from December 24, 2018 to April 29, 2019. By analyzing the relationship between phreatic evaporation and water surface evaporation for soils with different textures, linear mathematical equations were established. The results revealed that the change trend of phreatic evaporation and water surface evaporation was basically the same during the experiment. The high air temperature would lead to larger soil evaporation. However, the phreatic evaporation of the 4 different soil textures was not equal to the water surface evaporation, and the difference between them was more significant as the air temperature was increased. The determination coefficients between phreatic evaporation value of different soil textures and the water surface evaporation were all greater than 0.97. Especially for fine sand, the correlation coefficient reached 0.99, which indicated that there was a significant correlation between phreatic evaporation and water surface evaporation (P<0.05). And the conversion coefficients were achieved between them according to the linear mathematical equations. Generally, in soil bare areas with similar climatic conditions in Hefei, the conversion coefficient of coarse sand was 0.94, and the coefficients of fine sand, loam and sand are 1.04, 1.14 and 1.19, respectively. The phreatic evaporation value of coarse sand was less than the evaporation of water surface. The phreatic evaporation values of fine sand, loam and sand were greater than water evaporation. Under bare soil conditions, this conversion coefficient was only related to soil texture. In addition, the loam and sandy soil evaporation in the Wudaogou test site of Anhui Province, China was selected to verify the rationality of the conversion coefficient obtained above. The results showed that when the groundwater depth was 0.4 m, the relative error of the loam evaporation calculated by the substitution method and the phreatic evaporation coefficient method were -10.30% and 2.25%, respectively. Moreover, the sand evaporation calculated by the substitution method was 5.11 mm smaller than the measured value with a relative error of -17.79%, while the sand evaporation calculated using the phreatic evaporation coefficient method was only less than the measured value of 0.56 mm, and the relative error was reduced to -1.94%. Therefore, when calculating the phreatic evaporation at different groundwater depths, directly replacing phreatic evaporation with water surface evaporation would inevitably cause larger relative errors. However, the relative error of the calculation result obtained from the phreatic evaporation coefficient method was smaller, and the calculated value was much closer to the measured value. The coefficient method proposed in this paper would significantly improve the reliability and accuracy of the calculation results of phreatic evaporation. [ABSTRACT FROM AUTHOR]

The opening of high-speed railway brings a significant "time-space compression" effect, which has an important influence on the cooperative relationship and mode of tourism destinations along the route. Taking the Hefei-Fuzhou high-speed railway as an example, this paper studies cooperative network and mode of tourism destinations along the route by using the methods of social network, spatial analysis, descriptive statistics and software of Ucinet, GIS, SPSS, Excel and so on. Main conclusions are drawn as follows: (1) After the opening of the Hefei-Fuzhou high-speed railway, the tourists' cognition degree, the willingness to travel, the willingness to revisit the tourist destinations along the route have increased. The cooperative relation between different tourism destinations has been strengthened, and the cooperative network has formed a remarkable core- edge structure. The cooperative network between tourism destinations along the route is dense, and through the interconnection with other tourism destinations, a "group" of tourism destinations has formed along the route with stronger cooperation and greater influence. (2) The tourism flow between cities along the railway line is relatively large, with stable two- party relationship and tripartite relationship, forming three typical cooperation modes of "tourism core + tourism core", "tourism core + transportation core", "tourism core + transfer center". The three modes of cooperation present the characteristics of "strong alliance" and bring significant "Matthew effect", "filter effect" and "spillover effect". (3) The opening of high-speed railway provides an important opportunity for the establishment of cooperative relationship between tourism destinations along the route, collaborative development has become an inevitable trend in the future. In view of the current mode of cooperation, we should formulate various development strategies and establish a broader and deeper cooperative relationship between tourism destinations in order to realize the linkage development of tourist destinations. The results has certain enlightenment significance for enriching the research contents of China's high- speed railway tourism, revealing the cooperative network and typical model of tourist destinations along the high- speed railway, exploring the application of social network and spatial analysis methods in the research of cooperative relationship of tourism destinations, and formulating the regional tourism development strategy along the railway line. [ABSTRACT FROM AUTHOR]