kakehashi river basin
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2021 ◽  
Vol 16 (3) ◽  
pp. 329-342
Author(s):  
Kaito Kotone ◽  
Kenji Taniguchi ◽  
Koichi Nakamura ◽  
Yuki Takayama ◽  
◽  
...  

In Japan, flood disasters caused by record-breaking heavy rainfall frequently cause significant damages. It is also great concern that heavy rainfall may increase and occur more frequently due to global warming. In July 2013, a heavy rainfall event caused record-flooding of the Kakehashi River in Ishikawa Prefecture. In this study, pseudo global warming (PGW) experiments were implemented for the heavy rainfall in 1998 and 2013 around the Kakehashi River basin. Based on the results of PGW simulations, rainfall with different return periods were generated. Runoff analyses and inundation simulations were carried out by forcings with multiple return periods, and the results were used to estimate the economic losses due to flood inundation. Expected values of the economic losses were calculated using two methods for multiple return periods. Differences between the two expected values indicates the importance of the weighting method for the result of each return period. In addition, variations of spatial distribution of houses and firms in a city (i.e., urban structure) were simulated using a computable urban economics (CUE) model for the area of middle-lower reach of the Kakehashi River basin to examine its impact on economic loss due to flooding. In the simulation using the CUE model, a more severe flood inundation risk and an additional insurance burden for general households were added, and possible variations of urban structure were estimated around the lower part of the Kakehashi River basin. Under the more severe risk condition, relocation proceeded from higher risk areas to safer areas, and possible economic losses decreased in the target area. This result indicates that proper recognition of risk can reduce flood damages. On the other hand, there were small variations in economic losses under the condition with the additional flood insurance burden.


Toxics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 81
Author(s):  
Muneko Nishijo ◽  
Kazuhiro Nogawa ◽  
Yasushi Suwazono ◽  
Teruhiko Kido ◽  
Masaru Sakurai ◽  
...  

Very few studies have investigated the dose–response relationship between external cadmium (Cd) exposure and mortality. We aim to investigate the relationship between lifetime Cd intake (LCd) and mortality in the Cd-polluted Kakehashi River basin in Japan. Mortality risk ratios for a unit of increase of LCd and urinary Cd were analyzed using Cox’s proportional model. LCd was estimated based on residency and Cd in rice produced in their living areas. In men, mortality for all causes was significantly increased for a 10-μg/g Cr increase in urinary Cd, but not for a 1-g increase in LCd. In women, mortality risks for all causes and renal diseases, particularly renal failure, were significantly increased for a 10-μg/g Cr increase in urinary Cd. Similarly, mortality risks for renal diseases and renal failure were significantly increased for a 1-g increase of LCd in women. Comparing the contribution of two exposure markers to increased mortality in women, LCd was more effective for increasing mortality risks for renal diseases and renal failure, while urinary Cd contributed more to increased mortality risk for all causes. LCd may show a better dose–response relationship with mortality risk for renal diseases in women.


2004 ◽  
Vol 152 (1) ◽  
pp. 57-61 ◽  
Author(s):  
Teruhiko Kido ◽  
Kyoko Sunaga ◽  
Muneko Nishijo ◽  
Hideaki Nakagawa ◽  
Etsuko Kobayashi ◽  
...  

2003 ◽  
Vol 91 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Yasuhiro Hayashi ◽  
Etsuko Kobayahsi ◽  
Yasushi Okubo ◽  
Yasushi Suwazono ◽  
Teruhiko Kido ◽  
...  

1994 ◽  
Vol 49 (2) ◽  
pp. 598-605 ◽  
Author(s):  
Muneko NISHIJO ◽  
Hideaki NAKAGAWA ◽  
Yuko MORIKAWA ◽  
Masaji TABATA ◽  
Masami SENMA ◽  
...  

Toxicology ◽  
1990 ◽  
Vol 64 (1) ◽  
pp. 59-69 ◽  
Author(s):  
Zahir A. Shaikh ◽  
Teruhiko Kido ◽  
Hideaki Kito ◽  
Ryumon Honda ◽  
Koji Nogawa

1987 ◽  
Vol 42 (5) ◽  
pp. 964-972 ◽  
Author(s):  
Teruhiko Kido ◽  
Ryumon Honda ◽  
Ikiko Tsuritani ◽  
Haruki Yamaya ◽  
Masao Ishizaki ◽  
...  

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