Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Akiyuki Kawasaki"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1675-1684 (2024)
Leaving no one behind is a worldwide goal, but it is difficult to make policy to address this issue because we do not have a thorough knowledge of where poverty exists and in what forms due to lack of data, particularly in developing countries. House
Externí odkaz:
https://doaj.org/article/cde56f2adac3435c96ea72a0567e60b9
Autor:
Leon Vin, Akiyuki Kawasaki
Publikováno v:
Progress in Disaster Science, Vol 24, Iss , Pp 100362- (2024)
Floods exacerbate economic inequality, disproportionately affecting the poor in flood-prone areas while the rich in non-flood-prone regions continue to prosper. While this trend was illustrated conceptually and qualitatively, this study offers the fi
Externí odkaz:
https://doaj.org/article/4f00db0ee282472dbc6e5b91336347da
Publikováno v:
Progress in Earth and Planetary Science, Vol 9, Iss 1, Pp 1-26 (2022)
Abstract Climate is one of the main factors for rice crop growth. Understanding the relationship between climate variability and rice production during the period from 1901 to 1939 in Burma can give a clear picture of the impact of climate variabilit
Externí odkaz:
https://doaj.org/article/6008d3f49742483ab8764e19cd21b8bb
Publikováno v:
Progress in Disaster Science, Vol 17, Iss , Pp 100269- (2023)
Numerous studies have focused on the impact of flooding on road transportation conditions. However, a specific methodology for estimating direct damage by floods on roads considering flood and road characteristics is still missing. To bridge this gap
Externí odkaz:
https://doaj.org/article/a10cbc910f0244bca6aad5f91b285324
Publikováno v:
Environmental Research Letters, Vol 18, Iss 3, p 034003 (2023)
Existing benchmarks for assessing China’s environmental progress ignore the important issue of transboundary impacts and also lack systematic methods that focus on China’s subnational level. By using techniques based on a multiregion input–outp
Externí odkaz:
https://doaj.org/article/bb736a3ffa92452c805ea44ef7922a0e
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100872- (2021)
Study region: Bago River Basin of Myanmar, and also other selected areas in other Asian countries. Study focus: For reducing the uncertainty in quantification of flood damage, the development of more reliable flood damage functions (FDFs) is crucial.
Externí odkaz:
https://doaj.org/article/d023595d19164e01b03306715d43efb7
Autor:
Shin Yonehara, Akiyuki Kawasaki
Publikováno v:
Journal of Flood Risk Management, Vol 13, Iss 3, Pp n/a-n/a (2020)
Abstract Large‐scale flooding causing widespread devastation is expected to increase in the low‐lying river basin of developing countries. Flood inundation occurring in deltaic environments are caused by both river runoff and tides. Furthermore,
Externí odkaz:
https://doaj.org/article/91a41e65bb78470da185d4959f7f6b3b
Publikováno v:
International Journal of Disaster Risk Science, Vol 9, Iss 1, Pp 1-15 (2018)
Abstract After the 2011 Great East Japan Earthquake, the Japanese government identified the lack of proficiency in the Japanese language as one characteristic of foreigners that should be considered in disaster prevention planning. This article seeks
Externí odkaz:
https://doaj.org/article/3d5667bae7dd41e382a41d8abe959c7e
Autor:
Akiyuki Kawasaki, Petra Koudelova, Katsunori Tamakawa, Asanobu Kitamoto, Eiji Ikoma, Koji Ikeuchi, Ryosuke Shibasaki, Masaru Kitsuregawa, Toshio Koike
Publikováno v:
Data Science Journal, Vol 17 (2018)
The development of data and model integration platforms has furthered scientific inquiry and helped to solve pressing social and environmental problems. While several e-infrastructure platforms have been developed, the concept of data and model integ
Externí odkaz:
https://doaj.org/article/db3eb91983414889a6218be52de642ea
Autor:
Petra Koudelova, Akiyuki Kawasaki, Toshio Koike, Yoshihiro Shibuo, Minoru Kamoto, Yoshio Tokunaga
Publikováno v:
Data Science Journal, Vol 16 (2017)
Big Data has great potential to be applied to research in the field of geosciences. Motivated by the opportunity provided by the Data Integration and Analysis System (DIAS) of Japan, we organized an intensive two-week course that aims to educate part
Externí odkaz:
https://doaj.org/article/a62c2ba8fe874182ac1c22cbc09e4f74