| LDR | | 02749nam u200445 4500 |
| 001 | | 000000420012 |
| 005 | | 20190215164132 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438037861 |
| 035 | |
▼a (MiAaPQ)AAI10825885 |
| 035 | |
▼a (MiAaPQ)wustl:12550 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 628 |
| 100 | 1 |
▼a Abokifa, Ahmed A. |
| 245 | 10 |
▼a Developing Multi-Scale Models for Water Quality Management in Drinking Water Distribution Systems. |
| 260 | |
▼a [S.l.]:
▼b Washington University in St. Louis.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 379 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Pratim Biswas. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Washington University in St. Louis, 2018. |
| 520 | |
▼a Drinking water supply systems belong to the group of critical infrastructure systems that support the socioeconomic development of our modern societies. In addition, drinking water infrastructure plays a key role in the protection of public heal |
| 520 | |
▼a Water quality reaching the consumers' taps is largely dependent on a group of physical, chemical, and biological interactions that take place as the water transports through the pipes of the distribution system and inside premise plumbing. These |
| 520 | |
▼a By integrating on-line monitoring with real-time simulation and control, smart water networks offer a promising paradigm shift to the way utilities manage water quality in their systems. Yet, multiple scientific gaps and engineering challenges s |
| 520 | |
▼a The main objective of this dissertation is to create advanced computational tools for water quality management in water distribution systems through the development and application of a multi-scale modeling framework. Since the above-mentioned i |
| 520 | |
▼a In conclusion, the computational models developed in this study can either be implemented as stand-alone tools for simulating the fundamental processes dictating the water quality at different scales of resolution, or be integrated into a unifie |
| 590 | |
▼a School code: 0252. |
| 650 | 4 |
▼a Environmental engineering. |
| 650 | 4 |
▼a Chemical engineering. |
| 690 | |
▼a 0775 |
| 690 | |
▼a 0542 |
| 710 | 20 |
▼a Washington University in St. Louis.
▼b Energy, Environmental & Chemical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0252 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998817
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |