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      Comparison of gridded precipitation datasets for rainfall-runoff and inundation modeling in the Mekong River Basin

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          Abstract

          Precipitation, as a primary hydrological variable in the water cycle plays an important role in hydrological modeling. The reliability of hydrological modeling is highly related to the quality of precipitation data. Accurate long-term gauged precipitation in the Mekong River Basin, however, is limited. Therefore, the main objective of this study is to assess the performances of various gridded precipitation datasets in rainfall-runoff and flood-inundation modeling of the whole basin. Firstly, the performance of the Rainfall-Runoff-Inundation (RRI) model in this basin was evaluated using the gauged rainfall. The calibration (2000–2003) and validation (2004–2007) results indicated that the RRI model had acceptable performance in the Mekong River Basin. In addition, five gridded precipitation datasets including APHRODITE, GPCC, PERSIANN-CDR, GSMaP (RNL), and TRMM (3B42V7) from 2000 to 2007 were applied as the input to the calibrated model. The results of the simulated river discharge indicated that TRMM, GPCC, and APHRODITE performed better than other datasets. The statistical index of the annual maximum inundated area indicated similar conclusions. Thus, APHRODITE, TRMM, and GPCC precipitation datasets were considered suitable for rainfall-runoff and flood inundation modeling in the Mekong River Basin. This study provides useful guidance for the application of gridded precipitation in hydrological modeling in the Mekong River basin.

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          A high-accuracy map of global terrain elevations

          Daiki Ikeshima, Dai G. Yamazaki, Tomohiro Yamaguchi … (2017)
          Article 0 comments Cited 203 times – based on 0 reviews     Review now
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            Evaluation of low impact development approach for mitigating flood inundation at a watershed scale in China.

            Maochuan Hu, Takahiro Sayama, Xingqi Zhang … (2017)
            Low impact development (LID) has attracted growing attention as an important approach for urban flood mitigation. Most studies evaluating LID performance for mitigating floods focus on the changes of peak flow and runoff volume. This paper assessed the performance of LID practices for mitigating flood inundation hazards as retrofitting technologies in an urbanized watershed in Nanjing, China. The findings indicate that LID practices are effective for flood inundation mitigation at the watershed scale, and especially for reducing inundated areas with a high flood hazard risk. Various scenarios of LID implementation levels can reduce total inundated areas by 2%-17% and areas with a high flood hazard level by 6%-80%. Permeable pavement shows better performance than rainwater harvesting against mitigating urban waterlogging. The most efficient scenario is combined rainwater harvesting on rooftops with a cistern capacity of 78.5 mm and permeable pavement installed on 75% of non-busy roads and other impervious surfaces. Inundation modeling is an effective approach to obtaining the information necessary to guide decision-making for designing LID practices at watershed scales.
            Article 0 comments Cited 21 times – based on 0 reviews     Review now
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              Water management in Angkor: human impacts on hydrology and sediment transportation.

              Matti Kummu (2009)
              The city of Angkor, capital of the Khmer empire from the 9th to 15th century CE, is well known for its impressive temples, but recent research has uncovered an extensive channel network stretching across over 1000 km2. The channel network with large reservoirs (termed baray) formed the structure of the city and was the basis for its water management. The annual long dry season associated with the monsoon climate has challenged water management for centuries, and the extensive water management system must have played an important role in the mitigation of such marked seasonality. However, by changing the natural water courses with off-take channels the original catchments were also reshaped. Moreover, severe problems of erosion and sedimentation in human built channels evolved and impacted on the whole water management system. This paper describes the present hydrology of the area and discusses the impacts of water management on hydrology during the Angkor era. The paper, moreover, attempts to summarise lessons that could be learnt from Angkorian water management that might apply to present challenges within the field.
              Article 0 comments Cited 19 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Sophal Try:
                ORCID: http://orcid.org/0000-0003-4736-4568
                Role: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Shigenobu Tanaka: Role: Writing – review & editing
                Kenji Tanaka: Role: Writing – review & editing
                Takahiro Sayama: Role: Writing – review & editing
                Chantha Oeurng: Role: Writing – review & editing
                Sovannara Uk: Role: Writing – review & editing
                Kaoru Takara: Role: Writing – review & editing
                Maochuan Hu:
                ORCID: http://orcid.org/0000-0002-9485-954X
                Role: Formal analysisRole: Writing – review & editing
                Dawei Han: Role: Writing – review & editing
                Guy J-P. Schumann: Role: Editor
                Journal
                Journal ID (nlm-ta): PLoS One
                Journal ID (iso-abbrev): PLoS ONE
                Journal ID (publisher-id): plos
                Journal ID (pmc): plosone
                Title: PLoS ONE
                Publisher: Public Library of Science (San Francisco, CA USA )
                ISSN (Electronic): 1932-6203
                Publication date (Electronic): 8 January 2020
                Publication date Collection: 2020
                Volume: 15
                Issue: 1
                Electronic Location Identifier: e0226814
                Affiliations
                [1 ] Graduate School of Engineering, Kyoto University, Kyoto, Japan
                [2 ] Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Phnom Penh, Cambodia
                [3 ] Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
                [4 ] Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Tokyo, Japan
                [5 ] Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Japan
                [6 ] Department of Civil Engineering, University of Bristol, BS8 1TR, Bristol, United Kingdom
                Bristol University/Remote Sensing Solutions Inc., UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-4736-4568
                http://orcid.org/0000-0002-9485-954X
                Article
                Publisher ID: PONE-D-19-10209
                DOI: 10.1371/journal.pone.0226814
                PMC ID: 6948743
                PubMed ID: 31914161
                SO-VID: 1c6a2a77-b58c-4b12-8bb4-3c8a40127a9a
                Copyright © © 2020 Try et al
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                Date received : 10 April 2019
                Date accepted : 4 December 2019
                Page count
                Figures: 5, Tables: 5, Pages: 13
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Subject: Research Article
                Subject: Earth Sciences
                Subject: Atmospheric Science
                Subject: Meteorology
                Subject: Rain
                Subject: Earth Sciences
                Subject: Hydrology
                Subject: Flooding
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Bodies of Water
                Subject: Rivers
                Subject: Ecology and Environmental Sciences
                Subject: Aquatic Environments
                Subject: Freshwater Environments
                Subject: Rivers
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Aquatic Environments
                Subject: Freshwater Environments
                Subject: Rivers
                Subject: Research and Analysis Methods
                Subject: Simulation and Modeling
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Bodies of Water
                Subject: Lakes
                Subject: Ecology and Environmental Sciences
                Subject: Aquatic Environments
                Subject: Freshwater Environments
                Subject: Lakes
                Subject: Earth Sciences
                Subject: Marine and Aquatic Sciences
                Subject: Aquatic Environments
                Subject: Freshwater Environments
                Subject: Lakes
                Subject: Earth Sciences
                Subject: Hydrology
                Subject: Surface Water
                Subject: People and Places
                Subject: Geographical Locations
                Subject: Asia
                Subject: Cambodia
                Subject: People and Places
                Subject: Geographical Locations
                Subject: Asia
                Subject: Vietnam
                Custom metadata
                Data Availability All datasets used in this study were freely obtained from the following third parties: GPCC (precipitation, 2000-2007, http://gpcc.dwd.de/); GSMaP (precipitation, 2000-2007, https://sharaku.eorc.jaxa.jp/GSMaP/); TRMM (precipitation, 2000-2007, https://pmm.nasa.gov/trmm); PERSIANN (precipitation, 2000-2007, https://chrsdata.eng.uci.edu/); APHRODITE (precipitation, 2000-2007, http://www.chikyu.ac.jp/precip/english/); Mekong River Commission (observed precipitation and discharge, 2000-2007. via email: mrcmedia@ 123456mrcmekong.org ); JRA-55 reanalysis dataset (evaporation, 2000-2007, https://jra.kishou.go.jp/JRA-55/index.html); MCD12Q1 (Land use, 2000, https://modis.gsfc.nasa.gov/data/dataprod/mod12.php).

                ScienceOpen disciplines: Uncategorized
                Data availability:
                ScienceOpen disciplines: Uncategorized

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