County-level Supply Chain Analysis for Environmental Implications of US Corn Export
Abstract
The unbalanced crop production among countries by time has considerably boosted the amounts of global crop trade to meet demand and supply. The growth of global crop trade caused increase in harmful environmental impact of traded crops. People prefer to have eco-friendly crops which have less environmental impact. Many studies have tried to evaluate the environmental impacts of traded crops. However, most of studies have mainly focused on the transportation stages for food miles of crops for estimating the environmental implications of the traded crops.
Cultivating stages of crops using fertilizers, pesticides, and other use of large quantities of natural and synthetic resources are major contributors for environmental impacts of crop production. Indeed, the use of the resources differ depending on the crop producing region, because of the spatial heterogeneity of farming practices, water availability, climate, and resource productivity. This spatial variation affects the environmental impact of crop production. Insight on the differences implies that the environmental impacts for crop trade can be determined by crop choices. The objective of this study is to analyze county-level supply chain from corn fields to export ports and find environmental benefits through crop choices for less GHGs and irrigated water use. Our supply-chain model was designed for minimizing the combined impedances of three modes of transport (rail, truck, and barge). Acknowledgement This research was supported by National Research Foundation of Korea (NFR) grant funded by the Korea government (Ministry of Science and ICT) (NO. NRF-2017R1E1A1A01078227).- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.B31E..13K
- Keywords:
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- 0402 Agricultural systems;
- BIOGEOSCIENCES;
- 0480 Remote sensing;
- BIOGEOSCIENCES;
- 1926 Geospatial;
- INFORMATICS;
- 1942 Machine learning;
- INFORMATICS