Assessment of Wetland Functions considering Climate Change

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Hydraulic and Hydrologic Analysis for Washland Construction in Woopo Wetland Area, Korea

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea

Since its reappearance at the Military Demarcation Line in 1993, malaria has been occurring annually in Korea. Malaria is regarded as a third grade nationally notifiable disease susceptible to climate change. The objective of this study is to quantify the effect of climatic factors on the occurrence of malaria in Korea and construct a malaria occurrence model for predicting the future trend of malaria under the influence of climate change. Using data from 2001–2011, the effect of time lag between malaria occurrence and mean temperature, relative humidity and total precipitation was investigated using spectral analysis. Also, a principal component regression model was constructed, considering multicollinearity. Future climate data, generated from RCP 4.5 climate change scenario and CNCM3 climate model, was applied to the constructed regression model to simulate future malaria occurrence and analyze the trend of occurrence. Results show an increase in the occurrence of malaria and the shortening of annual time of occurrence in the future

Impact of climate change on hydrological droughts in the upper Namhan River basin, Korea.

Droughts are natural disasters that greatly affect the environment, the ecosystem and water resources. The objective of this study is to analyze the impact of climate change on hydrological droughts and predict future hydrological droughts using the SRES A1B scenario of IPCC AR4 and KMA(Korea Meteorological Administration) RCM climate models. Future droughts are analyzed by considering the joint probability distribution derived by applying the copula method. Results of this study show that severe droughts of short durations will occur more frequently in the near future. In order to determine drought frequencies in the future, SDF (Severity-Duration-Frequency) curves are suggested