Determination of potentially irrigable agricultural lands using remote sensing and geographic information system: case study of Yamula Basin

Yamula Dam that has been constructed in Kayseri is one of the most important projects regarding the irrigation of agricultural lands. The total area of the collected water body was reached in 2005 as planned before, and electricity production started. Together with the realization of the project, it is planned to use agricultural lands in basin more efficiently and productively. In this study, it was aimed to determine the hydrological structure of Yamula Basin and potentially irrigable lands by using geographic information systems and remote sensing technologies. The hydrological structure was determined using digital elevation model. The land use map was prepared by using Landsat satellite image for the year 2016. The analysis and queries were carried out by overlapping the land use, land use capacity, topographic maps and sub-basin layers. The potential agricultural lands were determined in accordance with the results obtained from the spatial analysis

Finding key vulnerable areas by a climate change vulnerability assessment

Extreme climate events such as typhoons, heat waves, and floods have increased in frequency with climate change. Many municipalities within the Republic of Korea (ROK) have experienced damage from these events, necessitating countermeasures. Vulnerability assessment has been suggested in the implementation of a national plan for reducing damage resulting from climate change. Thus, in this study, we assess the vulnerability of the ROK and identify key vulnerable municipalities in support of the national adaptation plan. We create a framework for assessing the vulnerability of all 232 municipalities of the ROK with respect to 32 items in 7 fields. The framework regards decision makers' comprehension and availability of data as important factors. We assess the vulnerability index of each municipality by using variables of climate exposure, sensitivity, and adaptation capacity. The weights of variables are determined by the Delphi method. We used the representative concentration pathways 8.5 climate scenario to reflect future climate exposure for the vulnerability assessment. From the analysis, vulnerability maps are prepared for the 32 items of 7 fields, and key vulnerable municipalities are identified by aggregating the maps. The distribution of vulnerable municipalities changes with the future climate conditions. These maps provide a scientific and objective basis for the ROK government to establish adaptation plans and allocate resources. The ROK government can utilize the results to identify the characteristics of highly vulnerable areas, and municipalities can use the results as a basis for requesting support from the national government.Y