Authors:
Yudi Chadirin, Satyanto K. Saptomo, Rudiyanto, Budi I. Setiawan, Kazutoshi Osawa, Dian Novarina and Muhajir Utom
Book:
Proceedings of the 15th International Peat Congress
Venue:
Kuching
Keywords:
artificial-neural-network, bare-peatland, co2-emission, soil-moisture-gradient, temperature-gradient
Documentfile:
ipc16p296-299a102chadirinsaptomo.etal_.pdf
Summary:
SUMMARY
Temperature and soil moisture are cofounded factors that has influence on CO2 soil emission while rainfall increase in soil moisture. These parameters were varied and easy to change by time and affected on CO2 soil emission. A continuous measurement of CO2 emission provides the accumulated emission more accurately but needs expensive instrument. Meanwhile, the measurement of soil moisture and temperature could be conducted with simpler and cheaper instruments. Thus it‘s a need to figure out the CO2 emission from peat with low cost based on environmental biophysics to predict CO2 emission based. The objective of this study was to develop an artificial…