文献
J-GLOBAL ID:202202231229903370
整理番号:22A0225972
動的モニタリングデータに基づく鉱山水突入事例を同定するためのフレームワーク【JST・京大機械翻訳】
A framework for identifying mine water inrush cases based on dynamic monitoring data
著者 (9件):
Wu Qiang
(College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, Beijing, People’s Republic of China)
,
Wu Qiang
(National Engineering Research Center of Coal Mine Water Hazard Controlling, Beijing, People’s Republic of China)
,
Wang Xiao
(College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, Beijing, People’s Republic of China)
,
Wang Xiao
(National Engineering Research Center of Coal Mine Water Hazard Controlling, Beijing, People’s Republic of China)
,
Zhao Yingwang
(College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, Beijing, People’s Republic of China)
,
Zhao Yingwang
(National Engineering Research Center of Coal Mine Water Hazard Controlling, Beijing, People’s Republic of China)
,
Xu Hua
(Beijing Institute of Petrochemical Technology, Beijing, China)
,
Zhang Xiaoyan
(College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, Beijing, People’s Republic of China)
,
Zhang Xiaoyan
(National Engineering Research Center of Coal Mine Water Hazard Controlling, Beijing, People’s Republic of China)
資料名:
Arabian Journal of Geosciences
(Arabian Journal of Geosciences)
巻:
15
号:
1
ページ:
6
発行年:
2022年
JST資料番号:
W4050A
ISSN:
1866-7511
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)