LDR | | 01497nmm uu200373 4500 |
001 | | 000000333821 |
005 | | 20240805174612 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438126817 |
035 | |
▼a (MiAaPQ)AAI10903075 |
035 | |
▼a (MiAaPQ)umichrackham:001281 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 624 |
100 | 1 |
▼a Fries, Kevin. |
245 | 10 |
▼a Fusing Large Datasets and Models to Improve Understanding of Hydrologic and Hydraulic Processes. |
260 | |
▼a [S.l.] :
▼b University of Michigan.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 252 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
500 | |
▼a Adviser: Branko Kerkez. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Michigan, 2018. |
520 | |
▼a Global water systems are being stressed by aging infrastructure, climate change, and resource withdrawals. The ability to model large water systems has attempted to keep pace with these challenges, with modern water models now operating effectiv |
590 | |
▼a School code: 0127. |
650 | 4 |
▼a Civil engineering. |
690 | |
▼a 0543 |
710 | 20 |
▼a University of Michigan.
▼b Civil Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0127 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000571
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |