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Seawater intrusion (SWI) is a major environmental threat to groundwater resources in coastal regions. GALDIT is an index-based SWI vulnerability model that is increasingly being used in many parts of the world to identify regions that are vulnerable to various types of SWI based on six major parameters. In this study, we conducted a vulnerability assessment of Jeju Island to SWI based on several years of collected groundwater level data and hydrogeological values where the objectives of the study were to visualize the distribution of recent SWI, to increase the reliability of the GALDIT assessment method by improving current GALDIT techniques, and to respond effectively to diagnoses of SWI on Jeju. To improve the GALDIT assessment method to fit the Jeju model, the possibility of electrical conductivity was explored instead of standard GALDIT parameters that represented the existing impact of SWI. Improvements to the GALDIT vulnerability assessment method made it clear that groundwater became increasingly vulnerable to SWI in the existing high-vulnerability group. The results of this research may be used to develop a quantitative index for rational decision-making on policies and suggest the need for further improvements in groundwater management, with a stronger focus on easing groundwater use.
Sun Woo Chang; Il-Moon Chung; Min-Gyu Kim; Mesfin Tolera; Gi-Won Koh. Application of GALDIT in Assessing the Seawater Intrusion Vulnerability of Jeju Island, South Korea. Water 2019, 11, 1824 .
AMA StyleSun Woo Chang, Il-Moon Chung, Min-Gyu Kim, Mesfin Tolera, Gi-Won Koh. Application of GALDIT in Assessing the Seawater Intrusion Vulnerability of Jeju Island, South Korea. Water. 2019; 11 (9):1824.
Chicago/Turabian StyleSun Woo Chang; Il-Moon Chung; Min-Gyu Kim; Mesfin Tolera; Gi-Won Koh. 2019. "Application of GALDIT in Assessing the Seawater Intrusion Vulnerability of Jeju Island, South Korea." Water 11, no. 9: 1824.
Availability of reliable meteorological data for watershed modeling is one of the considerable challenges in the Awash River Basin in Ethiopia. To overcome this challenge, the Climate Forecast System Reanalysis (CFSR) global weather data was evaluated and compared with the limited conventional weather data available in the Upper Awash Basin. The main objective of this study was to search for an optional data source for hydrological modeling, instead of using the limited available data, and for data-scarce areas of the basin. The Soil and Water Assessment Tool model was used to compare the performance of the two weather datasets at simulating monthly streamflow. For calibration, validation, and uncertainty analysis, the sequential uncertainty fitting algorithm was used. The model evaluation statistics showed that the CFSR global weather data performed similarly to the conventional weather data for simulating the observed streamflow at Melka Kunture. At Keleta, where the conventional data is scarce, the CFSR performed better. The CFSR performance at the two sub-basins indicated that it performed better for the large sub-basin, Melka Kunture. Generally, the CFSR weather data are a good addition to the dataset for areas where no reliable weather data exists for hydrological modeling in the basin. The precipitation data of the CFSR are slightly higher than that of the conventional data, which also resulted in a relatively higher water balance components.
Mesfin Benti Tolera; Il-Moon Chung; Sun Woo Chang. Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia. Water 2018, 10, 725 .
AMA StyleMesfin Benti Tolera, Il-Moon Chung, Sun Woo Chang. Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia. Water. 2018; 10 (6):725.
Chicago/Turabian StyleMesfin Benti Tolera; Il-Moon Chung; Sun Woo Chang. 2018. "Evaluation of the Climate Forecast System Reanalysis Weather Data for Watershed Modeling in Upper Awash Basin, Ethiopia." Water 10, no. 6: 725.