期刊
GEOCHEMICAL JOURNAL
卷 48, 期 4, 页码 397-408出版社
GEOCHEMICAL SOC JAPAN
DOI: 10.2343/geochemj.2.0314
关键词
Japanese meteoric water; precipitation; hydrogen isotopic ratio; oxygen isotopic ratio; d-value
The hydrogen and oxygen isotopic characteristics of precipitation in coastal areas of Japan were explained on the basis of a long period (23 years) observation of hydrogen and oxygen isotopic ratios (delta D and delta O-18) of precipitation collected monthly at Akita as well as a short period (1 or 2 years) observation at other localities. Coastal precipitation is characterized by a high d-value (=delta D-8 delta O-18) in winter and a low d-value in spring to fall, and the d-value of annual mean precipitation depends on the mixing ratio of these two types and is generally higher (15-18) on the Japan Sea side and lower (11-12) on the Pacific Ocean side. The average values of delta D and delta O-18 of monthly precipitation in winter are in ranges of -50 to -30 parts per thousand in delta D and -9.0 to -6.5 parts per thousand in delta O-18 from northern Honshu to southern Kyushu, and the values in spring to fall are in the ranges of -55 to -45 parts per thousand in delta D and -8.0 to -7.0 parts per thousand in delta O-18. These variations seem to be mainly due to differences in sea surface temperature of the Japan Sea or Pacific Ocean where source vapor of precipitation is supplied. The values of delta D and delta O-18 of annual mean precipitation are in the ranges of -55 to -40 parts per thousand and -8.6 to -6.7 parts per thousand, respectively, between northern Honshu to southern Kyushu. The slopes of the delta D and delta O-18 relationship are almost the same in winter and spring to fall and are close to 8 of Craig's meteoric line. This suggests that delta D and delta O-18 in these two seasons are controlled by the same isotopic fractionation processes in source vapor supply except for the kinetic effect and in cloud forming processes. Therefore, if the kinetic effect is eliminated, delta D and delta O-18 show similar seasonal variation patterns.
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