文献
J-GLOBAL ID:201702224821207939
整理番号:17A0443001
モデリングとリモートセンシングデータに基づく経験的月地下水かん養方程式の開発 潜在的な気候変動の影響を予測するための将来の地下水かん養のモデル化【Powered by NICT】
Developing empirical monthly groundwater recharge equations based on modeling and remote sensing data - Modeling future groundwater recharge to predict potential climate change impacts
著者 (5件):
Gemitzi Alexandra
(Department of Environmental Engineering, Faculty of Engineering, Democritus University of Thrace, 67100 Xanthi, Greece)
,
Gemitzi Alexandra
(School of Civil and Environmental Engineering, University of New South Wales, Sydney, New South Wales, Australia)
,
Ajami Hoori
(School of Civil and Environmental Engineering, University of New South Wales, Sydney, New South Wales, Australia)
,
Ajami Hoori
(Department of Environmental Sciences, University of California Riverside, Riverside, USA)
,
Richnow Hans-Hermann
(Helmholtz Centre for Environmental Research - UFZ, Department for Isotope Biogeochemistry Helmholtz Centre for Environmental Research - UFZ, Permoserstrasse 15, 04318 Leipzig, Germany)
資料名:
Journal of Hydrology
(Journal of Hydrology)
巻:
546
ページ:
1-13
発行年:
2017年
JST資料番号:
C0584A
ISSN:
0022-1694
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)