4.6 Article

Calculation of a Climate Change Vulnerability Index for Nakdong Watersheds Considering Non-Point Pollution Sources

期刊

APPLIED SCIENCES-BASEL
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/app12094775

关键词

shared socioeconomic pathways; climate change vulnerability index; climate exposure; sensitivity; adaptive capacity

资金

  1. National Institute of Environmental Research (NIER) - Ministry of Environment (ME) of the Republic of Korea [NIER-2021-01-01-042]
  2. Korea Environmental Industry & Technology Institute (KEITI) [NIER-2021-01-01-042] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

South Korea has established its third National Climate Change Adaptation Plan and evaluated the vulnerability of sub-watersheds in the Nakdong River. The findings can assist in developing rational climate change response plans for regional water resource management.
As a response to climate change, South Korea has established its third National Climate Change Adaptation Plan (2021-2025) alongside the local governments' plans. In this study, proxy variables in 22 sub-watersheds of the Nakdong River, Korea were used to investigate climate exposure, sensitivity, adaptive capacity, and non-point pollution in sub-watersheds, a climate change vulnerability index (CCVI) was established, and the vulnerability of each sub-watershed in the Nakdong River was evaluated. Climate exposure was highest in the Nakdong Estuary sub-watershed (75.5-81.7) and lowest in the Geumhogang sub-watershed (21.1-28.1). Sensitivity was highest (55.7) in the Nakdong Miryang sub-watershed and lowest (19.6) in the Habcheon dam sub-watershed. Adaptive capacity and the resulting CCVI were highest in the Geumhogang sub-watershed (96.2 and 66.2-67.9, respectively) and lowest in the Wicheon sub-watershed (2.61 and 18.5-20.4, respectively), indicating low and high vulnerabilities to climate change, respectively. The study revealed that the high CCVI sensitivity was due to adaptive capacity. These findings can help establish rational climate change response plans for regional water resource management. To assess climate change vulnerability more accurately, regional bias can be prevented by considering various human factors, including resources, budget, and facilities.

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