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Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques

Though more costly than petroleum-based fuels and a minor component of overall military fuel sources, biofuels are nonetheless strategically valuable to the military because of intentional reliance on multiple, reliable, secure fuel sources. Significant reduction in oilseed biofuel cost occurs when...

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Autores principales: Corwin, Dennis L., Yemoto, Kevin, Clary, Wes, Banuelos, Gary, Skaggs, Todd H., Lesch, Scott M., Scudiero, Elia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677256/
https://www.ncbi.nlm.nih.gov/pubmed/29036925
http://dx.doi.org/10.3390/s17102343
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author Corwin, Dennis L.
Yemoto, Kevin
Clary, Wes
Banuelos, Gary
Skaggs, Todd H.
Lesch, Scott M.
Scudiero, Elia
author_facet Corwin, Dennis L.
Yemoto, Kevin
Clary, Wes
Banuelos, Gary
Skaggs, Todd H.
Lesch, Scott M.
Scudiero, Elia
author_sort Corwin, Dennis L.
collection PubMed
description Though more costly than petroleum-based fuels and a minor component of overall military fuel sources, biofuels are nonetheless strategically valuable to the military because of intentional reliance on multiple, reliable, secure fuel sources. Significant reduction in oilseed biofuel cost occurs when grown on marginally productive saline-sodic soils plentiful in California’s San Joaquin Valley (SJV). The objective is to evaluate the feasibility of oilseed production on marginal soils in the SJV to support a 115 ML yr(−1) biofuel conversion facility. The feasibility evaluation involves: (1) development of an Ida Gold mustard oilseed yield model for marginal soils; (2) identification of marginally productive soils; (3) development of a spatial database of edaphic factors influencing oilseed yield and (4) performance of Monte Carlo simulations showing potential biofuel production on marginally productive SJV soils. The model indicates oilseed yield is related to boron, salinity, leaching fraction, and water content at field capacity. Monte Carlo simulations for the entire SJV fit a shifted gamma probability density function: Q = 68.986 + gamma (6.134,5.285), where Q is biofuel production in ML yr(−1). The shifted gamma cumulative density function indicates a 0.15–0.17 probability of meeting the target biofuel-production level of 115 ML yr(−1), making adequate biofuel production unlikely.
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spelling pubmed-56772562017-11-17 Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques Corwin, Dennis L. Yemoto, Kevin Clary, Wes Banuelos, Gary Skaggs, Todd H. Lesch, Scott M. Scudiero, Elia Sensors (Basel) Article Though more costly than petroleum-based fuels and a minor component of overall military fuel sources, biofuels are nonetheless strategically valuable to the military because of intentional reliance on multiple, reliable, secure fuel sources. Significant reduction in oilseed biofuel cost occurs when grown on marginally productive saline-sodic soils plentiful in California’s San Joaquin Valley (SJV). The objective is to evaluate the feasibility of oilseed production on marginal soils in the SJV to support a 115 ML yr(−1) biofuel conversion facility. The feasibility evaluation involves: (1) development of an Ida Gold mustard oilseed yield model for marginal soils; (2) identification of marginally productive soils; (3) development of a spatial database of edaphic factors influencing oilseed yield and (4) performance of Monte Carlo simulations showing potential biofuel production on marginally productive SJV soils. The model indicates oilseed yield is related to boron, salinity, leaching fraction, and water content at field capacity. Monte Carlo simulations for the entire SJV fit a shifted gamma probability density function: Q = 68.986 + gamma (6.134,5.285), where Q is biofuel production in ML yr(−1). The shifted gamma cumulative density function indicates a 0.15–0.17 probability of meeting the target biofuel-production level of 115 ML yr(−1), making adequate biofuel production unlikely. MDPI 2017-10-14 /pmc/articles/PMC5677256/ /pubmed/29036925 http://dx.doi.org/10.3390/s17102343 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Corwin, Dennis L.
Yemoto, Kevin
Clary, Wes
Banuelos, Gary
Skaggs, Todd H.
Lesch, Scott M.
Scudiero, Elia
Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques
title Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques
title_full Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques
title_fullStr Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques
title_full_unstemmed Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques
title_short Evaluating Oilseed Biofuel Production Feasibility in California’s San Joaquin Valley Using Geophysical and Remote Sensing Techniques
title_sort evaluating oilseed biofuel production feasibility in california’s san joaquin valley using geophysical and remote sensing techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5677256/
https://www.ncbi.nlm.nih.gov/pubmed/29036925
http://dx.doi.org/10.3390/s17102343
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