Exploring investment priority for reservoir maintenance and reinforcement using public data
This study conducted disaster impact assessment on the downstream districts of the reservoirs in Gyeonggi-do, selected among the 14,323 reservoirs nationwide that are under control of local governments. There are 229 reservoirs located in Gyeonggi-do, and a GIS was used to set the range of the downs...
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Veröffentlicht in: | Spatial information research (Online) 2017, 25(2), 95, pp.323-335 |
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Sprache: | eng |
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Zusammenfassung: | This study conducted disaster impact assessment on the downstream districts of the reservoirs in Gyeonggi-do, selected among the 14,323 reservoirs nationwide that are under control of local governments. There are 229 reservoirs located in Gyeonggi-do, and a GIS was used to set the range of the downstream districts for these reservoirs. For the designated downstream districts, the public data was used to build a database on the number of households, farmland, floor area of buildings, and the area of the infrastructures. As the characteristics and units of each data were different, the data was standardized through the standardization score to comprehensively evaluate the disaster impact in the lower reservoir areas. For that, each data was given equal weight. The resulting analysis shows that 14 of the reservoirs in Gyeonggi-do are older than 60 years, and that there are a great number of households, buildings, and cultivated areas in the downstream districts. Therefore, along with maintenance and reinforcement after a precise diagnosis of the reservoirs, precautions to minimize damage to the downstream districts when a reservoir collapses are urgently required. This study is investment priority for maintenance and reinforcement of reservoirs through assessment of the relative impact of disasters on downstream districts upon the collapse of a reservoir, using public data. It is expected that the results of this study may be used to establish the management direction for reservoirs and downstream districts. |
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ISSN: | 2366-3286 2366-3294 |
DOI: | 10.1007/s41324-017-0093-7 |