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020 ▼a 9780438073098
035 ▼a (MiAaPQ)AAI10827135
035 ▼a (MiAaPQ)ucla:16897
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 624
1001 ▼a Ushijima, Timothy.
24510 ▼a Practical Improvement to and Application of Proper Orthogonal Decomposition Reduced Order Modeling to Experimental Design for Groundwater Monitoring Networks.
260 ▼a [S.l.] : ▼b University of California, Los Angeles., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 229 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: William W-G. Yeh.
5021 ▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018.
520 ▼a Proper Orthogonal Decomposition (POD) is a method used to reduce the dimension of a highly discretized groundwater model. The reduced model is sometimes several orders of magnitudes smaller than the original model and can run several orders of m
590 ▼a School code: 0031.
650 4 ▼a Civil engineering.
650 4 ▼a Hydrologic sciences.
690 ▼a 0543
690 ▼a 0388
71020 ▼a University of California, Los Angeles. ▼b Civil Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0031
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998985 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자