## 4 Conclusions  
This study calculated a CCVI using alternative evaluation indices that considered the ETCCDI, land, and social infrastructures using the AR6 SSP scenarios provided by the IPCC to assess the non-point pollution vulnerability of the Nakdong River sub-watersheds while responding to climate change scenarios that are expected to occur. Detailed data were produced in line with the meteorological stations selected for use with KACE-1-0-G GCM, which was provided by the Korea Meteorological Administration. Seven ETCCDIs related to rainfall were calculated and selected as proxy variables describing climate exposure. In addition, four items considering soil, land use, and load were selected and set as proxy variables for sensitivity. Furthermore, two other parameters--the percentage of seaweed population and the capacity for sewage treatment--were selected as proxy variables for adaptive capacity. Thus, the CCVI was calculated using 13 proxy variables. Variables with different units were standardized using the rescaling method. Table 15 shows the differentiation from previous studies. Figure 4: Analysis of sensitivity by proxy variable for each scenario ((**a**) is the Geumhogang sub-watershed with the highest CCVI and (**b**) is the Wicheon sub-watershed with the lowest CCVI). When the standardized climate exposure was examined under every climate change scenario, even within the Nakdong River, Rx1 day, R10 mm, and R50 mm were high in the Namgang Dam and Nakdong Estuary sub-watersheds, which are located in a rainy region due to the influence of Mount Jiri and the ocean. In contrast, the Wicheon, Gamcheon, and Geumhogang sub-watersheds, where the above-mentioned variables were low, showed high CDD and CD5 day. These sub-watersheds are affected by their location in the upstream and midstream Nakdong River and the topography of mountains on the right side of the Korean Peninsula. Moreover, the Naseongcheon and Younggang sub-watersheds showed high CDD and CD5 day, but their R50 mm was also high, indicating a high possibility of localized torrential rainfall during a rain event. The CD10 Day50 mm was high among the sub-watersheds located downstream of the Nakdong River, but the lack of rainfall is not expected to lead to drought if this were to occur in the midstream of the Nakdong River. The same pattern was also observed for the EDI. Similar to CDD, the EDI was high in the sub-watersheds located in the upstream and midstream areas of Nakdong River. In terms of climate change sensitivity, the non-point source discharged pollution load in each watershed, the number of pigs and cattle by area, and the area ratio of paddies and upland fields per sub-watershed were high in the tributary watersheds upstream of the Nakdong River with many livestock farms, farmlands, and sub-watersheds located in the middle and lower regions of Nakdong River. Regarding the adaptive capacity, the capacity for sewage treatment and the percentage of sewered population were high in the specific sub-watersheds with large cities such as Daegu, Busan, and Jinju, or industrial complexes. The calculation result of CCVI for each climate change scenario showed that in every scenario, the Geumhogang sub-watershed with the highest adaptive capacity showed the highest CCVI, and the Wicheon sub-watershed with the lowest adaptive capacity showed the lowest CCVI. The CCVIs of Imha Dam, Naseongcheon, and adjacent sub-watersheds located upstream of the Nakdong River, Habcheon Dam, and Hwanggang sub-watersheds changed in accordance with the climate change scenario. However, the CCVIs were high for Geumhogang and adjacent sub-watersheds in the middle of the Nakdong River and sub-watersheds located in the lower reaches of the Nakdong River, including the Namgang sub-watershed. In contrast, the CCVIs were low in the Wicheon, Hoecheon, and Andong Dam sub-watersheds, which showed low adaptive capacity. Therefore, this study found that high CCVI sensitivity was due to adaptive capacity.