文献
J-GLOBAL ID:202002268491182324
整理番号:20A0766592
新しいアンサンブルデータマイニング技術を用いた地下水湧水ポテンシャル評価【JST・京大機械翻訳】
Groundwater spring potential assessment using new ensemble data mining techniques
著者 (8件):
Yousefi Saleh
(Soil Conservation and Watershed Management Research Department, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO, Shahrekord, Iran)
,
Sadhasivam Nitheshnirmal
(Department of Geography, School of Earth Science, Bharathidasan University, Tiruchirappalli 620 024, Tamil Nadu, India)
,
Pourghasemi Hamid Reza
(Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran)
,
Ghaffari Nazarlou Hamid
(Department of Civil and Environmental Engineering, Howard University, Washington DC, USA)
,
Golkar Foroogh
(Department of Water Engineering&Oceanic and Atmospheric Research Center, College of Agriculture, Shiraz University, Shiraz, Iran)
,
Tavangar Shahla
(Department of Watershed Management Engineering, Faculty of Natural Resources and Marine Sciences, Tarbiat Modare University, Iran)
,
Santosh M.
(School of Earth Sciences and Resources, China University of Geosciences Beijing, Beijing 100083, PR China)
,
Santosh M.
(Department of Earth Sciences, University of Adelaide, Adelaide, SA 5005, Australia)
資料名:
Measurement
(Measurement)
巻:
157
ページ:
Null
発行年:
2020年
JST資料番号:
W0315B
ISSN:
0263-2241
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)