Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Yasuto Tachikawa"'
Publikováno v:
Journal of Flood Risk Management, Vol 17, Iss 1, Pp n/a-n/a (2024)
Abstract This study aimed to evaluate probable maximum precipitation (PMP) estimated using surface dew points (SDP) or actual precipitable water obtained from upper‐air data (UAD) in the moisture‐maximization method with the help of sufficient ex
Externí odkaz:
https://doaj.org/article/48e09190e2224856a108ee965116040e
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101583- (2023)
Study region: Lower Chao Phraya River Basin (LCPRB), Thailand. Study focus: This study aims to make a robust assessment based on a large ensemble d4PDF dataset and a flood-inundation model Inundation Model Coupling Rainfall-runoff (IMCR) for the LCPR
Externí odkaz:
https://doaj.org/article/c932b934303445ff878a12247016e3e7
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 42, Iss , Pp 101150- (2022)
Study region: Chao Phraya River Basin (CPRB), the predominant basin located in Thailand. Study focus: This study aims to ascertain the difference between spatial bias heterogeneity of streamflow in large river basins such as CPRB for a robust analysi
Externí odkaz:
https://doaj.org/article/d0987fe3740545b38ac112962f7974ac
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 38, Iss , Pp 100939- (2021)
Study region: The Sirikit Dam in the Nan River Basin is located on a main tributary of the Chao Phraya River in Thailand. Study focus: This study investigates forecasting river flows and real-time optimization of dam release using a distributed hydro
Externí odkaz:
https://doaj.org/article/d5852aaf49474934b3f73a754b030b2f
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100856- (2021)
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 combinatio
Externí odkaz:
https://doaj.org/article/f5a484999e2346fbba061e2f38773d52
Autor:
Nobuhito Mori, Tetsuya Takemi, Yasuto Tachikawa, Hirokazu Tatano, Tomoya Shimura, Tomohiro Tanaka, Toshimi Fujimi, Yukari Osakada, Adrean Webb, Eiichi Nakakita
Publikováno v:
Weather and Climate Extremes, Vol 32, Iss , Pp 100309- (2021)
Climate change due to global warming is expected to have major impacts on phenomena such as tropical cyclones (TCs), Baiu, precipitation, and seasonal storms. Many natural disasters in East Asia are driven by TC (typhoon) activity in particular and t
Externí odkaz:
https://doaj.org/article/c60984067780417c8b7895283b1dacf5
Publikováno v:
Environmental Research Letters, Vol 16, Iss 7, p 074059 (2021)
This study investigated simultaneous flood risk among all the 109 class-A river basins over Japan using the big data of (over 1000 years) annual maximum hourly flow simulated from a large ensemble climate simulation database for policy decision makin
Externí odkaz:
https://doaj.org/article/20c9a683ea7f498fb15b9050c7f46dcc
Publikováno v:
Water, Vol 12, Iss 9, p 2508 (2020)
This study proposes a generalized framework for the assessment of flood risk and potential strategies to mitigate flood under various vulnerability and adaptation scenarios. The possible causes of hazard, exposure and vulnerability in flood disaster
Externí odkaz:
https://doaj.org/article/a5cb08eb180141d8a91ca9f7997ea369
Publikováno v:
Journal of Hydrometeorology. 24:817-833
Runoff generated by land surface models (LSMs) is extensively used to predict future river discharge under global warming. However, the structural bias of LSMs, the precipitation bias of the climate model, and other factors could cause the runoff to
Publikováno v:
Hydrological Research Letters. 17:36-41