Abstract
Nitrogen loss and greenhouse gas emission during compost will cause secondary pollution and waste nutrients. To address this issue, a predictive model was set up to obtain a clear knowledge of the N2O emission and nitrogen loss from swine manure composting. This paper collected 68 group data from 11 published papers about pig manure composting N2O emission and total nitrogen loss. Select 4 indexes were taken as predicted indexes include aeration rate, moisture content, C/N, and the amount of superphosphate to establish a BP neural network for forecasting the N2O emission and total nitrogen loss from composting. The analyses show that the mean error of N2O emission forecasting model is 1.17; the value of MAPE is 138.85%. As for nitrogen loss, the mean error is 24.72 and the mean absolute percentage error is 11.06%. Compare to the traditional linear regression, the BP neural network model has good accuracy on forecasting N2O emission and TN loss from manure composting. BP neural network has considerable application prospect in forecast nitrogen loss and greenhouse gas emission from composting.
Highlights
Composting is an effective way to reuse nutrients in livestock manure
This paper presents a new method applying the technology of neural network to forecast the N2O emission and nitrogen loss during the swine manure composting
Detailed data are listed in table 1, giving the following information: proportion of N2O-N emission on total nitrogen (%), total nitrogen loss (TN loss) rate (%), C/N ratio, Moisture content (%), aeration rate (L/kg min-1, dry matter), and superphosphate content (%, dry matter)
Summary
Composting is an effective way to reuse nutrients in livestock manure. N2O emission from composting will cause secondary environmental pollution and waste nitrogen in the manure. Other parameters during composting like C/N ratio, aeration rate and moisture content have effect on N2O emission and nitrogen loss [7, 8]. It is rather difficult to build a valid model for forecasting TN loss and N2O emission of the composting system based on traditional model. This paper presents a new method applying the technology of neural network to forecast the N2O emission and nitrogen loss during the swine manure composting. With this model, scientists and policy makers can use this model to set a reasonable parameter for composting program
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