| LDR | | 02066nam u200433 4500 |
| 001 | | 000000418713 |
| 005 | | 20190215163104 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438354067 |
| 035 | |
▼a (MiAaPQ)AAI10845717 |
| 035 | |
▼a (MiAaPQ)umn:19530 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 333.91 |
| 100 | 1 |
▼a Wilson, Grace L. |
| 245 | 10 |
▼a Modeling Water Quality Effects of Variable-rate Nitrogen Fertilizer Application Using DRAINMOD-NII and Development of a New Statistical Framework for Evaluation of Goodness-of-fit for Hydrologic Models. |
| 260 | |
▼a [S.l.]:
▼b University of Minnesota.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 161 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
| 500 | |
▼a Adviser: David Mulla. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2018. |
| 520 | |
▼a In the first part of this research, the field-scale hydrologic model, DRAINMOD-NII, was used to make predictions on nitrogen losses for fields utilizing different nitrogen fertilizer management practices. DRAINMOD-NII was used to predict nitrate |
| 520 | |
▼a In the second part of this project, a new framework was developed which would take into account uncertainty in the evaluation of hydrologic and water quality models. Model performance is evaluated using statistical goodness-of-fit (GOF) measures |
| 590 | |
▼a School code: 0130. |
| 650 | 4 |
▼a Water resources management. |
| 650 | 4 |
▼a Agriculture. |
| 650 | 4 |
▼a Hydrologic sciences. |
| 690 | |
▼a 0595 |
| 690 | |
▼a 0473 |
| 690 | |
▼a 0388 |
| 710 | 20 |
▼a University of Minnesota.
▼b Land and Atmospheric Science. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0130 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000083
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |