Development of high-resolution 72 h precipitation and hillslope flood maps over a tropical transboundary region by physically based numerical atmospheric-hydrologic modeling

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Trinh T., Ho C., Do N., Ercan A., Kawas M. L.

JOURNAL OF WATER AND CLIMATE CHANGE, cilt.11, ss.387-406, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11
  • Basım Tarihi: 2020
  • Doi Numarası: 10.2166/wcc.2020.062
  • Dergi Adı: JOURNAL OF WATER AND CLIMATE CHANGE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Compendex, Geobase, Veterinary Science Database
  • Sayfa Sayıları: ss.387-406
  • Anahtar Kelimeler: Da-Thao river watershed, monsoon, transboundary region, tropical cyclone, watershed environmental hydrology (WEHY) model, weather research and forecasting model (WRF), FUTURE CLIMATE-CHANGE, GLOBAL LAND-COVER, WEHY MODEL, RAINFALL, PARAMETERIZATION, VARIABILITY, SATELLITE, PRODUCTS, DATASETS, TERRAIN
  • Orta Doğu Teknik Üniversitesi Adresli: Hayır

Özet

Long-term, high spatial and temporal resolution atmospheric and hydrologic data are crucial for water resource management. However, reliable high-quality precipitation and hydrologic data are not available in various regions around the world. This is, in particular, the case in transboundary regions, which have no formal data sharing agreement among countries. This study introduces an approach to construct long-term high-resolution extreme 72 h precipitation and hillslope flood maps over a tropical transboundary region by the coupled physical hydroclimate WEHY-WRF model. For the case study, Da and Thao River watersheds (D-TRW), within Vietnam and China, were selected. The WEHY-WRF model was set up over the target region based on ERA-20C reanalysis data and was calibrated based on existing ground observation data. After successfully configuring, WEHY-WRF is able to produce hourly atmospheric and hydrologic conditions at fine resolution over the target watersheds during 1900-2010. From the modeled 72 h precipitation and flood events, it can be seen that the main precipitation mechanism of DRW and TRW are both the summer monsoon and tropical cyclone. In addition, it can be concluded that heavy precipitation may not be the only reason to create an extreme flood event. The effects of topography, soil, and land use/cover also need to be considered in such nonlinear atmospheric and hydrologic processes. Last but not least, the long-term high-resolution extreme 72 h precipitation and hillslope flood maps over a tropical transboundary region, D-TRW, were constructed based on 111 largest annual historical events during 1900-2010.