文献
J-GLOBAL ID:202202286728630126
整理番号:22A0435444
イラン南部,石灰質土壌における機械学習アルゴリズムと組み合わせた携帯型風洞を用いた風食速度の予測【JST・京大機械翻訳】
Predicting wind erosion rate using portable wind tunnel combined with machine learning algorithms in calcareous soils, southern Iran
著者 (6件):
Mina Monireh
(Department of Soil Science, School of Agriculture, Shiraz University, Shiraz, Iran)
,
Rezaei Mahrooz
(Meteorology and Air Quality Group, Wageningen University & Research, P.O. Box 47, AA, 6700, Wageningen, the Netherlands)
,
Rezaei Mahrooz
(Department of Soil Science, School of Agriculture, Shiraz University, Shiraz, Iran)
,
Sameni Abdolmajid
(Department of Soil Science, School of Agriculture, Shiraz University, Shiraz, Iran)
,
Ostovari Yaser
(Chair of Soil Science, Research Department of Ecology and Ecosystem Management, TUM School of Life Sciences - Weihenstephan, Technical University of Munich, Freising, Germany)
,
Ritsema Coen
(Soil Physics and Land Management Group, Wageningen University & Research, PO. Box 47, AA, 6700, Wageningen, the Netherlands)
資料名:
Journal of Environmental Management
(Journal of Environmental Management)
巻:
304
ページ:
Null
発行年:
2022年
JST資料番号:
H0435B
ISSN:
0301-4797
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)