Impact of climate change on flood inundation in a tropical river basin in Indonesia
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- 資料種別
- 記事
- 著者・編者
- Kodai YamamotoTakahiro SayamaApip
- 出版年月日等
- 2021-01-06
- 出版年（W3CDTF）
- 2021-01-06
- タイトル（掲載誌）
- Progress in earth and planetary science
- 巻号年月日等（掲載誌）
- 8(5)
- 掲載巻
- 8(5)
- ISSN（掲載誌）
- 2197-4284
- ISSN-L（掲載誌）
- 2197-4284
- 本文の言語コード
- eng
- DOI
- 10.1186/s40645-020-00386-4
- 国立国会図書館永続的識別子
- info:ndljp/pid/11667984
- コレクション（共通）
- コレクション（障害者向け資料：レベル1）
- コレクション（個別）
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- 収集根拠
- オンライン資料収集制度
- 受理日（W3CDTF）
- 2021-04-28T11:35:34+09:00
- 保存日（W3CDTF）
- 2021-04-28
- 記録形式（IMT）
- application/pdf
- オンライン閲覧公開範囲
- 国立国会図書館内限定公開
- デジタル化資料送信
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- 可
- 掲載誌（国立国会図書館永続的識別子）
- info:ndljp/pid/11667979
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- 要約等
- Climate change will have a significant impact on the water cycle and will lead to severe environmental problems and disasters in humid tropical river basins. Examples include river basins in Sumatra Island, Indonesia, where the coastal lowland areas are mostly composed of peatland that is a wetland environment initially sustained by flooding from rivers. Climate change may alter the frequency and magnitude of flood inundation in these lowland areas, disturbing the peatland environment and its carbon dynamics and damaging agricultural plantations. Consequently, projecting the extent of inundation due to future flooding events is considered important for river basin management. Using dynamically downscaled climate data obtained by the Non-Hydrostatic Regional Climate Model (NHRCM), the Rainfall-Runoff-Inundation (RRI) model was applied to the Batanghari River Basin (42, 960 km²) in Sumatra Island, Indonesia, to project the extent of flood inundation in the latter part of the twenty-first century. In order to obtain reasonable estimates of the extent of future flood inundation, this study compared two bias correction methods: a Quantile Mapping (QM) method and a combination of QM and Variance Scaling (VS) methods. The results showed that the bias correction obtained by the QM method improved the simulated flow duration curve (FDC) obtained from the RRI model, which facilitated comparison with the simulated FDC using reference rainfall data. However, the high spatial variability observed in daily and 15-day rainfall data remained as the spatial variation bias, and this could not be resolved by simple QM bias correction alone. Consequently, the simulated extreme variables, such as annual maximum flood inundation volume, were overestimated compared to the reference data. By introducing QM-VS bias correction, the cumulative density functions of annual maximum discharge and inundation volumes were improved. The findings also showed that flooding will increase in this region; for example, the flood inundation volume corresponding to a 20-year return period will increase by 3.3 times. River basin management measures, such as land use regulations for plantations and wetland conservation, should therefore consider increases in flood depth and area, the extents of which under a future climate scenario are presented in this study.
- DOI
- 10.1186/s40645-020-00386-4
- オンライン閲覧公開範囲
- インターネット公開
- 著作権情報
- © The Author(s). 2021This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- 関連情報（URI）
- 参照
- Integration of Hydrological and Flood Inundation Models for Assessing Flood Events in the Lower Prek Thnot River Basin under Climate ChangeThe Public Health Risks of Waterborne Pathogen Exposure Under a Climate Change Scenario in IndonesiaHydrologic modeling and flood-frequency analysis under climate change scenarioA support vector machine-based method for improving real-time hourly precipitation forecast in JapanQUANTIFYING SEDIMENT PLASTIC DEBRIS: PRODUCTION, TRANSPORT MECHANISMS, AND SPATIAL RELATIONSHIP WITH FLOODS IN THE URBAN SLUMS OF YAOUNDE-CAMEROONThe Importance of Dynamical Downscaling for Explanations of High Temperature Rises in WinterFUTURE PROJECTION OF FLOOD INUNDATION IN SANGGAI BASIN BASED ON COUPLED LAND COVER CHANGE AND BIAS-CORRECTED GLOBAL CLIMATE MODELSEffects of Urban Development on Regional Climate Change and Flood Inundation in Jakarta, Indonesia
- 参照
- Hydrologic sensitivity of flood runoff and inundation: 2011 Thailand floods in the Chao Phraya River basinImprovement of TMI rain retrieval in mountainous areasGlobal Precipitation Map Using Satellite-Borne Microwave Radiometers by the GSMaP Project: Production and ValidationFuture climate change enhances rainfall seasonality in a regional model of western Maritime ContinentBias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methodsMechanisms of improved rainfall simulation over the Maritime Continent due to increased horizontal resolution in an AGCMEffects of disturbances on the carbon balance of tropical peat swamp forestsImplementation of an orographic/nonorographic rainfall classification scheme in the GSMaP algorithm for microwave radiometersLand-use futures in the shared socio-economic pathwaysRainfall–runoff–inundation analysis of the 2010 Pakistan flood in the Kabul River basinASSESSING THE EFFECT OF SPATIAL PATTERN OF PRECIPITATION IN MODELING STREAM FLOW HYDROGRAPHS<sup>1</sup>Hydrological response to future land-use change and climate change in a tropical catchmentECOCLIMAP: a global database of land surface parameters at 1 km resolutionPrecipitation-Top Heights of Heavy Orographic Rainfall in the Asian Monsoon RegionDefinition of the Humid TropicsROLE OF A TROPICAL “MARITIME CONTINENT” IN THE ATMOSPHERIC CIRCULATION<sup>1</sup>Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari WatershedDoes bias correction increase reliability of flood projections under climate change? A case study of large rivers in GermanyPrediction of daily flow duration curves and streamflow for ungauged catchments using regional flow duration curvesThe sensitivity of the tropical circulation and Maritime Continent precipitation to climate model resolutionSensitivity of Southeast Asia rainfall simulations to cumulus and air-sea flux parameterizations in RegCM4Annual Cycle of Southeast Asia—Maritime Continent Rainfall and the Asymmetric Monsoon TransitionConvective Parameterization for Mesoscale Models: The Kain-Fritsch SchemeAssessment of the Regional Climate Model Version 3 over the Maritime Continent Using Different Cumulus Parameterization and Land Surface SchemesSensitivity of the water cycle over the <scp>I</scp>ndian <scp>O</scp>cean and <scp>M</scp>aritime <scp>C</scp>ontinent to parameterized physics in a regional modelFlood risk and adaptation strategies under climate change and urban expansion: A probabilistic analysis using global dataEquiratio cumulative distribution function matching as an improvement to the equidistant approach in bias correction of precipitationFuture changes and uncertainties in Asian precipitation simulated by multiphysics and multi–sea surface temperature ensemble experiments with high‐resolution Meteorological Research Institute atmospheric general circulation models (MRI‐AGCMs)Gridded emissions and land-use data for 2005–2100 under diverse socioeconomic and climate mitigation scenariosThe WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA‐Interim reanalysis dataOn the need for bias correction of regional climate change projections of temperature and precipitationImpact Assessment of Climate and Land-Use Changes on Flooding Behavior in the Upper Ciliwung River, Jakarta, IndonesiaTropical Cyclone Intensity Change and Axisymmetricity Deduced from GSMaPEffect of horizontal resolution on ECHAM6-AMIP performanceGlobal flood risk under climate changeThe resolution sensitivity of the South Asian monsoon and Indo-Pacific in a global 0.35° AGCMThe Maritime Continent and Its Role in the Global Climate: A GCM StudyThe Operational JMA Nonhydrostatic Mesoscale ModelImpact of the spatial variability of daily precipitation on hydrological projections: A comparison of GCM‐ and RCM‐driven cases in the Han River basin, KoreaModel Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed SimulationsReproducibility of Present Climate in a Non-Hydrostatic Regional Climate Model Nested within an Atmosphere General Circulation ModelThe robustness of future changes in Northern Hemisphere blocking: A large ensemble projection with multiple sea surface temperature patternsRainfall and Tropical Cyclone Activity over Vietnam Simulated and Projected by the Non-Hydrostatic Regional Climate Model - NHRCMAssessing the Sensitivity of the Non-Hydrostatic Regional Climate Model to Boundary Conditions and Convective Schemes over the PhilippinesThe JRA-55 Reanalysis: Representation of Atmospheric Circulation and Climate VariabilityDevelopment and Validation of a New Land Surface Model for JMA’s Operational Global Model Using the CEOP Observation DatasetComparison of runoff generation methods for land use impact assessment using the SWAT model in humid tropicsSimulation of Present Climate over Southeast Asia Using the Non-Hydrostatic Regional Climate ModelComparative study on climate change impact on precipitation and floods in Asian river basinsThe WFDEI Meteorological Forcing DataPrecipitation estimation performance by Global Satellite Mapping and its dependence on wind over northern Vietnam
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- 学術機関リポジトリデータベース雑誌記事索引データベースCrossref科学研究費助成事業データベース科学研究費助成事業データベースCrossrefCrossrefCrossrefCrossrefCrossrefCrossrefCrossrefCrossref
- 書誌ID（NDLBibID）
- 11667984