المؤلفون: Wei Zhao, Yan-zhu Lin, Peng-peng Zhou, Guang-cai Wang, Xue-ya Dang, Xiao-fan Gu

المصدر: China Geology, Vol 4, Iss 3, Pp 377-388 (2021)

مصطلحات موضوعية: Groundwater, Global climate change, Hydrochemistry, Groundwater circulation, Groundwater age, Groundwater level rising, Engineering (General). Civil engineering (General), TA1-2040, Geology, QE1-996.5

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2096519221001518; https://doaj.org/toc/2096-5192

URL الوصول: https://doaj.org/article/f5c612c2dbc14e7b829bf04080109563

المؤلفون: Ziyi Song, Chengpeng Lu, Ying Zhang, Jing Chen, Wenlu Liu, Bo Liu, Longcang Shu

المصدر: Water, Vol 14, Iss 12, p 1906 (2022)

مصطلحات موضوعية: abnormal groundwater level rising, rising duration and rate, temporal and spatial distribution, outlier identification, Poyang Lake Basin, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4441/14/12/1906; https://doaj.org/toc/2073-4441

URL الوصول: https://doaj.org/article/e49344a897a1432eb501c9efb8f29e30

المؤلفون: Harutus Phoban, Uma Seeboonruang, Prateep Lueprasert

المصدر: Applied Sciences, Vol 11, Iss 13, p 5782 (2021)

مصطلحات موضوعية: groundwater level rising, pile capacity, numerical modeling, Bangkok subsoil, fully coupled flow deformation analysis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/13/5782; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/8d785b9371cd4b9e8106aebaa3d443bc

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المؤلفون: Francesco Carotenuto, Domenico Calcaterra, Mariano Di Napoli, Diego Di Martire, Vincenzo Allocca, Pantaleone De Vita, Silvio Coda

المساهمون: Allocca, V., Di Napoli, M., Coda, S., Carotenuto, F., Calcaterra, D., Di Martire, D., De Vita, P.

المصدر: Science of The Total Environment. 790:148067

مصطلحات موضوعية: Environmental Engineering, Ensemble methods, 010504 meteorology & atmospheric sciences, Aquifer, Machine learning algorithms, 010501 environmental sciences, Mixed-land use aquifer, Machine learning, computer.software_genre, Groundwater flooding susceptibility, 01 natural sciences, Machine Learning, Hydraulic conductivity, Metropolitan City of Naple, Vadose zone, Groundwater level rising, Metropolitan City of Naples, Agriculture, Humans, Reproducibility of Results, Environmental Monitoring, Groundwater, Environmental Chemistry, Ensemble method, Waste Management and Disposal, 0105 earth and related environmental sciences, geography, geography.geographical_feature_category, Ensemble forecasting, business.industry, Flooding (psychology), Pollution, Ensemble learning, Environmental science, Artificial intelligence, Machine learning algorithm, business, computer, Drainage density

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::586f061f5239e8c145153d31dda82ed7
https://doi.org/10.1016/j.scitotenv.2021.148067

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