Nutrient loads to surface water from row crop production

Eutrophication and hypoxia, which are already serious environmental issues in the Midwestern region of the United States and the Gulf of Mexico, could worsen with an increase emphasis on the use of corn and soybeans for biofuels. Eutrophication impacts from agriculture are difficult to integrate int...

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Veröffentlicht in:The international journal of life cycle assessment 2007-09, Vol.12 (6), p.399-407
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description Eutrophication and hypoxia, which are already serious environmental issues in the Midwestern region of the United States and the Gulf of Mexico, could worsen with an increase emphasis on the use of corn and soybeans for biofuels. Eutrophication impacts from agriculture are difficult to integrate into an LCA due to annual variability in the nutrient loads as a factor of climatic conditions. This variability has not been included in many relevant energy or row crop LCAs. The objective of this research was to develop a relatively simple method to accurately quantify nutrient loadings from row crop production to surface water that reflects annual variations due to weather. A set of watersheds that comprise most of eastern Iowa was studied. Ample data describing corn-soybean agriculture in this region and nutrient loadings to the Mississippi River enabled the development, calibration and validation of the model for this particular region. A framework for estimating lifecycle inventory data for variable nutrient loading from corn-soybean agriculture was developed. The approach uses 21 years of country-average data for agricultural and annual rainfall for 33 counties that approximate three major watersheds in eastern Iowa. A linear equation describes the relationship between the fraction of the applied nutrients that leach into the surface water and the annual rainfall. Model parameters were calibrated by minimizing the error in the difference between actual and modeled cumulative discharge to the Mississippi River over the period 1988-1998. Data from 1978-1987 were used to validate the method. Two separate approaches were then used to allocate the nutrient flows between the corn and soybeans. The total nitrogen (TN) and total phosphorus (TP) leaching models provide good representation of the variability in measured nutrient loads discharged from eastern Iowa watersheds to the Mississippi River. The calibrated model estimates are within 1.1% of the actual 11-year cumulative TN load and 0.3% of the TP load. In contrast, a standard method used in other lifecycle assessments for estimating nutrient leaching based on a constant fraction of the nutrients leached provides a reasonable average, but does not capture the annual variability. Estimates of the TN load that can be allocated to corn range from 60 and 99% between two allocation methods considered. This difference stems from a poorly understood symbiosis of nitrogen flows within the corn-soybean rotation that is
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Eutrophication impacts from agriculture are difficult to integrate into an LCA due to annual variability in the nutrient loads as a factor of climatic conditions. This variability has not been included in many relevant energy or row crop LCAs. The objective of this research was to develop a relatively simple method to accurately quantify nutrient loadings from row crop production to surface water that reflects annual variations due to weather. A set of watersheds that comprise most of eastern Iowa was studied. Ample data describing corn-soybean agriculture in this region and nutrient loadings to the Mississippi River enabled the development, calibration and validation of the model for this particular region. A framework for estimating lifecycle inventory data for variable nutrient loading from corn-soybean agriculture was developed. The approach uses 21 years of country-average data for agricultural and annual rainfall for 33 counties that approximate three major watersheds in eastern Iowa. A linear equation describes the relationship between the fraction of the applied nutrients that leach into the surface water and the annual rainfall. Model parameters were calibrated by minimizing the error in the difference between actual and modeled cumulative discharge to the Mississippi River over the period 1988-1998. Data from 1978-1987 were used to validate the method. Two separate approaches were then used to allocate the nutrient flows between the corn and soybeans. The total nitrogen (TN) and total phosphorus (TP) leaching models provide good representation of the variability in measured nutrient loads discharged from eastern Iowa watersheds to the Mississippi River. The calibrated model estimates are within 1.1% of the actual 11-year cumulative TN load and 0.3% of the TP load. In contrast, a standard method used in other lifecycle assessments for estimating nutrient leaching based on a constant fraction of the nutrients leached provides a reasonable average, but does not capture the annual variability. Estimates of the TN load that can be allocated to corn range from 60 and 99% between two allocation methods considered. This difference stems from a poorly understood symbiosis of nitrogen flows within the corn-soybean rotation that is difficult to integrate into an LCA. Lifecycle inventories can include improved estimates non-point source nutrient flows to surface waters by incorporating climatic variability. Nutrient discharges to surface water are estimated with emission factors as a linear function of the annual rainfall rate. Water quality data is required to calibrate this model for a given region. 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The approach uses 21 years of country-average data for agricultural and annual rainfall for 33 counties that approximate three major watersheds in eastern Iowa. A linear equation describes the relationship between the fraction of the applied nutrients that leach into the surface water and the annual rainfall. Model parameters were calibrated by minimizing the error in the difference between actual and modeled cumulative discharge to the Mississippi River over the period 1988-1998. Data from 1978-1987 were used to validate the method. Two separate approaches were then used to allocate the nutrient flows between the corn and soybeans. The total nitrogen (TN) and total phosphorus (TP) leaching models provide good representation of the variability in measured nutrient loads discharged from eastern Iowa watersheds to the Mississippi River. The calibrated model estimates are within 1.1% of the actual 11-year cumulative TN load and 0.3% of the TP load. 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source SpringerNature Journals
subjects Agricultural practices
Agriculture
Annual variations
Biofuels
Climatic conditions
Corn
Crop production
Crop rotation
Crops
Emissions
Eutrophication
Firing rate
Hypoxia
Inventories
Leaching
Load
Nitrogen
Nutrient loading
Nutrients
Rainfall
Rainfall rate
Rivers
Soybeans
Surface water
Symbiosis
Variability
Vegetables
Water quality
Watersheds
title Nutrient loads to surface water from row crop production
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