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タイトル: Uncertainty assessment of water resources and long-term hydropower generation using a large ensemble of future climate projections for the Nam Ngum River in the Mekong Basin
著者: Meema, Thatkiat
Tachikawa, Yasuto  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-1647-8899 (unconfirmed)
Ichikawa, Yutaka  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-1269-2975 (unconfirmed)
Yorozu, Kazuaki  kyouindb  KAKEN_id
著者名の別形: 立川, 康人
市川, 温
萬, 和明
キーワード: Climate change
Hydropower
Uncertainty assessment
Distributed hydrologic model
Streamflow projection
発行日: Aug-2021
出版者: Elsevier BV
誌名: Journal of Hydrology: Regional Studies
巻: 36
論文番号: 100856
抄録: [Study region] The Nam Ngum River Basin, the major tributary of the Mekong River, is located in the Laos PDR. [Study focus] This study aims to assess the sensitivity of Nam Ngum 1 reservoir operation to water resource uncertainty driven by a combination of climate change and upstream cascade dam development. [New hydrological insights for the region] Precipitation projections of the basin under a 4° increase scenario vary in the range of −9.6 % to +6.9 %, compared to the historical observed precipitation (present climate). The impact of climate change on hydropower resources was investigated. Based on the combined effect of climate change and upstream cascade dam development, the projected inflow of the Nam Ngum 1 reservoir at the full development stage will change from −16.0 % to +6.5 %, which results in a large range of annual energy production changes from −18.8 % to +2.8 % compared to the current condition (present climate and existing dam stage). Furthermore, water losses from the reservoir due to water discharge from the spillway for extreme floods and evaporation are expected to increase with increasing temperature, which will lead to a loss in energy production. Our study indicates that the operation of hydropower should be adapted to the effects of climate change. This information can be used by stakeholders to propose water resource management strategies.
著作権等: © 2021 The Authors. Published by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license.
URI: http://hdl.handle.net/2433/276937
DOI(出版社版): 10.1016/j.ejrh.2021.100856
出現コレクション:学術雑誌掲載論文等

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