@article {10.3844/ajessp.2016.237.247,
article_type = {journal},
title = {Conformal Mapping of Temperature Variation in Compost Heap},
author = {Agunwamba, Jonah Chukwuemeka and Nwoke, Oji Achuka},
volume = {12},
number = {3},
year = {2016},
month = {Jun},
pages = {237-247},
doi = {10.3844/ajessp.2016.237.247},
url = {https://thescipub.com/abstract/ajessp.2016.237.247},
abstract = {Laboratory in vessel trapezoidal compost system was designed and constructed. Temperature variation in the compost heap was measured for five days at various depths. Mathematical model for the variation of temperature of the composting process was developed using Conformal Mapping Technique. One of the parameters in the model had two distinct roots, one a positive root and the other negative root. Prediction of temperature was done using both the positive and negative root. The prediction using positive root was named Predicted 1 while that using negative root was named Predicted 2. Four Polynomial functions were generated and considered as reasonable choice for fitting the Measured Surface Temperature (Ts) and Bottom Temperature (Tb) as a function of the predicted temperature. Predicted 1 showed a polynomial relationship with Ts and Tb. The R2 values of these relationships with Ts and Tb were 0.165 and 0.379 respectively. The R2 value of 0.165 is low and signifies poor estimate of temperature variation in compost heap. On the other hand, the R2 value of 0.379 is adjudged moderately okay for prediction based on previous researchers. Predicted 2 also showed a polynomial relationship with Ts and Tb. The R2 values of these relationships with Ts and Tb were 0.4226 and 0.688 respectively. The R2 value of 0.688 is high while 0.4226 is moderate. The R2 values suggested that predicted 2 had a better polynomial relationship with the measured data than predicted 1. Therefore, can be used as the best fit for the model. In terms of shape characteristics, the model simulated the typical temperature-time profile of previous works on compost temperature models in literature closely. The model like several other studies due to the short time frame precluded presentation of the overall shape of the profile. The T-test result (p},
journal = {American Journal of Environmental Sciences},
publisher = {Science Publications}
}