Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data

Reservoir characteristics are the essential information for water management planning and reservoir operation. Regular monitoring and assessment of the reservoir characteristics can reduce risks associated with the reservoir operation. This research assessed the reservoir characteristics (water surf...

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Main Authors: Yutthana Phankamolsil, Ekasit Kositsakulchai
Other Authors: Mahidol University. Kanchanaburi Campus. Environmental Engineering and Disaster Management Program
Format: Article
Language:English
Published: 2020
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/54350
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spelling th-mahidol.543502023-03-31T03:15:51Z Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data Yutthana Phankamolsil Ekasit Kositsakulchai Mahidol University. Kanchanaburi Campus. Environmental Engineering and Disaster Management Program Kasetsart University. Faculty of Engineering at Kamphaeng Saen. Department of Irrigation Engineering Reservoir Storage capacity curve Remote sensing Landsat NDWI Environment and Natural Resources Journal วารสารสิ่งแวดล้อมและทรัพยากรธรรมชาติ Reservoir characteristics are the essential information for water management planning and reservoir operation. Regular monitoring and assessment of the reservoir characteristics can reduce risks associated with the reservoir operation. This research assessed the reservoir characteristics (water surface, volume) of Vajiralongkorn Dam using remote sensing. Reservoir water surface was classified using the Normalized Difference Water Index (NDWI) derived from the Landsat 8 data, and validated using the streamline matching rate (SMR) and the streamline matching error (SME) techniques for shoreline accuracy assessment. The volume between two water levels was calculated using the prismatic equation. The storage capacity curve was constructed from the reservoir water level and cumulative volume. The accuracy of NDWI technique was satisfactory in identifying reservoir water surface with a good accuracy of shoreline delineation (SMR>95% and SME=11.7 m). The water surface has decreased on the average of 8.2 km2 (2.8%) compared with the original data in 1980. The storage capacity has decreased 495.3 million m3 (MCM) over 38 years from 1980 to 2018, an annual capacity loss of 13 MCM. Finally, sustainable service of the reservoir needs better knowledge of the effects of storage loss, the erosion and sediment-transport processes, and conservation measures. 2020-04-21T02:46:14Z 2020-04-21T02:46:14Z 2020-04-21 2020 Research Article Environment and Natural Resources Journal. Vol. 18, No. 2 (Apr-Jun 2020), 134-145 https://repository.li.mahidol.ac.th/handle/123456789/54350 eng Mahidol University Faculty of Environment and Resource Studies Mahidol University application/pdf
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
language English
topic Reservoir
Storage capacity curve
Remote sensing
Landsat
NDWI
Environment and Natural Resources Journal
วารสารสิ่งแวดล้อมและทรัพยากรธรรมชาติ
spellingShingle Reservoir
Storage capacity curve
Remote sensing
Landsat
NDWI
Environment and Natural Resources Journal
วารสารสิ่งแวดล้อมและทรัพยากรธรรมชาติ
Yutthana Phankamolsil
Ekasit Kositsakulchai
Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data
description Reservoir characteristics are the essential information for water management planning and reservoir operation. Regular monitoring and assessment of the reservoir characteristics can reduce risks associated with the reservoir operation. This research assessed the reservoir characteristics (water surface, volume) of Vajiralongkorn Dam using remote sensing. Reservoir water surface was classified using the Normalized Difference Water Index (NDWI) derived from the Landsat 8 data, and validated using the streamline matching rate (SMR) and the streamline matching error (SME) techniques for shoreline accuracy assessment. The volume between two water levels was calculated using the prismatic equation. The storage capacity curve was constructed from the reservoir water level and cumulative volume. The accuracy of NDWI technique was satisfactory in identifying reservoir water surface with a good accuracy of shoreline delineation (SMR>95% and SME=11.7 m). The water surface has decreased on the average of 8.2 km2 (2.8%) compared with the original data in 1980. The storage capacity has decreased 495.3 million m3 (MCM) over 38 years from 1980 to 2018, an annual capacity loss of 13 MCM. Finally, sustainable service of the reservoir needs better knowledge of the effects of storage loss, the erosion and sediment-transport processes, and conservation measures.
author2 Mahidol University. Kanchanaburi Campus. Environmental Engineering and Disaster Management Program
author_facet Mahidol University. Kanchanaburi Campus. Environmental Engineering and Disaster Management Program
Yutthana Phankamolsil
Ekasit Kositsakulchai
format Article
author Yutthana Phankamolsil
Ekasit Kositsakulchai
author_sort Yutthana Phankamolsil
title Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data
title_short Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data
title_full Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data
title_fullStr Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data
title_full_unstemmed Revision of Vajiralongkorn Dam’s Reservoir Characteristic Curves Using NDWI Derived from Landsat 8 Data
title_sort revision of vajiralongkorn dam’s reservoir characteristic curves using ndwi derived from landsat 8 data
publishDate 2020
url https://repository.li.mahidol.ac.th/handle/123456789/54350
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