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

Autoři: Sophal Try aff001;  Shigenobu Tanaka aff003;  Kenji Tanaka aff003;  Takahiro Sayama aff003;  Chantha Oeurng aff002;  Sovannara Uk aff004;  Kaoru Takara aff005;  Maochuan Hu aff003;  Dawei Han aff006
Působiště autorů: Graduate School of Engineering, Kyoto University, Kyoto, Japan aff001;  Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Phnom Penh, Cambodia aff002;  Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan aff003;  Department of Civil and Environmental Engineering, Tokyo Institute of Technology, Tokyo, Japan aff004;  Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Japan aff005;  Department of Civil Engineering, University of Bristol, BS8 1TR, Bristol, United Kingdom aff006
Vyšlo v časopise: PLoS ONE 15(1)
Kategorie: Research Article
prolekare.web.journal.doi_sk: 10.1371/journal.pone.0226814


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.

Klíčová slova:

Simulation and modeling – Flooding – Rain – Lakes – Rivers – Vietnam – Surface water – Cambodia


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