| LDR | | 03005nmm uu200469 4500 |
| 001 | | 000000333777 |
| 005 | | 20240805174523 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438413924 |
| 035 | |
▼a (MiAaPQ)AAI10825059 |
| 035 | |
▼a (MiAaPQ)iastate:17402 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 630 |
| 100 | 1 |
▼a Dokoohaki, Hamze.
▼0 (orcid)0000-0003-2131-7712 |
| 245 | 14 |
▼a The Promise of Biochar: From Lab Experiment to National Scale Impacts. |
| 260 | |
▼a [S.l.] :
▼b Iowa State University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 100 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-02(E), Section: B. |
| 500 | |
▼a Adviser: Fernando E. Miguez. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Iowa State University, 2018. |
| 520 | |
▼a Biochar is a carbon rich soil amendment produced from biomass by a thermochemical process, pyrolysis or gasification. Soil biochar applications have generated a great deal of interest as a strategy for mitigating climate change by sequestering c |
| 520 | |
▼a In this study we evaluated the effect of biocharspresence on soil and crop in various spatial scales ranging from lab experiments to regional scale simulations. |
| 520 | |
▼a In the first chapter, we used an incubated experiment with 3 biochar application rates (0%, 3% and 6%), two application methods and three replications. Soil water retention curves (SWRC) were determined at three sampling times. |
| 520 | |
▼a The Van-Genuchten (VG) model was fitted to all SWRCs and then used to estimate the pore size distribution (PSD). Standard deviation (SD), skewness and mode (D) were calculated in order to interpret the geometry of PSDs. The Dexter S-index and sa |
| 520 | |
▼a The second chapter was focused on evaluating the impacts of biochar on soil hydraulic properties at the field scale by combining a modeling approach with soil water content measurements. Soil water measurements were collected from a corn-corn cr |
| 520 | |
▼a In the third chapter, we tried to ans r the question: Where should we apply biochar? For this task, we developed an extensive informatics work ow for processing and analyzing crop yield response data as well as a large spatial-scale modeling pla |
| 520 | |
▼a In the last chapter, we made regional scale simulations of biochar e ects on crop yield and nitrate leaching using APSIM for parts of Iowa and California. Three main pieces of work were integrated in this study. The suitable areas found for bioc |
| 590 | |
▼a School code: 0097. |
| 650 | 4 |
▼a Agriculture. |
| 650 | 4 |
▼a Soil sciences. |
| 690 | |
▼a 0473 |
| 690 | |
▼a 0481 |
| 710 | 20 |
▼a Iowa State University.
▼b Agronomy. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 80-02B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0097 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998728
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |