## 5 Analysis and Validation  
To verify the validity of the model and the reasonableness of the prediction and assessment method, data from Xiamen Gaoqi International Airport are selected for modeling analysis in this paper. Xiamen Gaoqi International Airport is located in Xiamen, Fujian Province, China, and is a Class 4E civil international airport. It plays an important role as a regional aviation hub on the southeast coast of China. In the year 2020, Gaoqi Airport accomplished 16,710,197 passengers, 278,336.4 tons of cargo and mail throughput, and 139,827 takeoffs and landings, all of which are among the top in China. In this paper, 10 moments of the busier approach sectors of Gaoqi Airport are intercepted for analysis and verification. Figure 11 shows some of the radar records. Figure 11: Radar control chart of Xiamen Gaoqi Airport. Through the analysis of the radar map, this paper selects the location of the tower at 21.40\({}^{\circ}\) N and 114.50\({}^{\circ}\) E as the origin of the coordinate system, and transforms the positions of the aircraft in the control sector at different times into the points in the coordinate system. In this paper, the positions of aircraft in the control sector are transformed into points in the coordinate system, the sectors are created, and the aircraft nodes are classified according to the actual operation of the sectors. Since the control sector of Xiamen Gaoqi Airport is not a regular square, we need to make corrections to the model in the model construction part of the experiment to turn the assumed square sector into a realistic one. First, we need to have a clear understanding of the actual sector structure, and have a clear understanding of the latitude and longitude coordinates of the vertices on the sector boundary. The results of this can be found in the relevant CAAC documents. Then, we need to establish the coordinate system with the airport tower as the origin. At this point, based on the latitude and longitude coordinates of the tower, and the latitude and longitude coordinates of the sector, we can depict the sector and the aircraft in the coordinate system. The sector determined by this method is in accordance with the actual situation. Finally, we translate the sector boundary into a formula based on the principle of \"two points determine a line segment\". This formula is applied to the established coordinate system. This allows us to determine the sector of the model and the heading of the aircraft based on its current position. With these steps, we can build a model for a non-square sector and then analyze the model. As shown in Figure 12, the control area of Xiamen ATC station is about 350 km long from east to west and 400 km long from north to south, with three approach sectors, sector 1 of which is responsible for the airspace within the range of flight altitude below 2400 m (inclusive), and sectors 2-4 are responsible for the airspace within the range of flight altitude 2400 (exclusive) to 5400 m (inclusive), and the coordinates of some nodes in the coordinate system are shown in Table 1.  
Figure 12: Radar map of Xiamen Gaoqi Airport airspace. The interdependent network is constructed based on the obtained node coordinates, and the network diagram shown in Figure 13 is obtained. The network indicators are analyzed to obtain the relevant network data. Moreover, to verify the effectiveness of the method, after the control command of the corresponding period, the DORATASK method is used to evaluate the workload of controllers who have completed the handover shift. As shown in Figure 13, the top area in the figure is sector 2, the bottom left is sector 3 and the bottom right is sector 4. Sector 1 is the low-altitude level airspace corresponding to sectors 2, 3 and 4. Sector 1 is obscured in the figure by sectors 2, 3 and 4 in the high-altitude level. The nodes in the figure include all aircraft nodes in the 4 sectors.