The Phlegrean Fields are an area in the west of Naples （Italy）, with a huge interest in geophysical community being a volcanic caldera among the most dangerous in the world. Various techniques of monitoring exist. A...The Phlegrean Fields are an area in the west of Naples （Italy）, with a huge interest in geophysical community being a volcanic caldera among the most dangerous in the world. Various techniques of monitoring exist. Among all, the control of ground deformations and variations in sea level has considerable importance. Time series of ground deformation and tidal data in this area have been analysed to highlight these important geophysical features and these results are compared with those obtained from similar data in other time periods. With regard to first mentioned, tiltmetric data have been analysed. These ones come from the tiltmeter network sited in Pozzuoli. Instead, the tidal data come from the tide gauge in Pozzuoli. Data have been analysed by means of a wavelet approach, using a Continuos Wavelet Transform and using, as so-called ＂Wavelet Mother＂, a Gabor-Morlet wavelet. For each time series, the principal harmonic constituents result： lunar semidiurnal （M2）, solar semidiumal （S2） and lunar diurnal （K1）. Other harmonic constituents, having frequencies higher than 1/hour, are present.These last ones could be interpreted as seiches and they could be linked up with generation of discrete plumes of rising magma. Frequencies at which there is the occurrence of these seiches are in agreement with previous studies.展开更多
This paper introduced a novel self-adjustment of parameters of fuzzy neural networks. Then, the effects of cathode humidification temperature and anode flow rate on the performance of direct methanol fuel celI（DMFC）...This paper introduced a novel self-adjustment of parameters of fuzzy neural networks. Then, the effects of cathode humidification temperature and anode flow rate on the performance of direct methanol fuel celI（DMFC） were described respectively. Two dynamic performance models of DMFC under the influences of cathode humidification temperature and anode flow rate were established separately based on fuzzy neural networks. The simulation results show the accuracy of the models established is satisfactory.展开更多
Fuel moisture monitoring is an important component of fire danger rating system in fire management. This paper describes the application of NDVI images in monitoring potential fire danger and analyses the relationship...Fuel moisture monitoring is an important component of fire danger rating system in fire management. This paper describes the application of NDVI images in monitoring potential fire danger and analyses the relationship between MODIS-NDVI and fire weather index. The series of weather data in Beijing are used in this analysis including fire seasons in spring during 2004 to 2005. Canadian Fire Weather Index (FWI) is selected in this study, because it can properly estimate moisture conditions of live fuel. Fine fuel moisture, drought code and FWI values are generated by using the squared inverse distance algorithm. Strong correlations have previously been observed between FWI variables and NDVI data. The MODIS-NDVI images can be used in fire management as component related with live fuel moisture and fire danger.展开更多
文摘The Phlegrean Fields are an area in the west of Naples （Italy）, with a huge interest in geophysical community being a volcanic caldera among the most dangerous in the world. Various techniques of monitoring exist. Among all, the control of ground deformations and variations in sea level has considerable importance. Time series of ground deformation and tidal data in this area have been analysed to highlight these important geophysical features and these results are compared with those obtained from similar data in other time periods. With regard to first mentioned, tiltmetric data have been analysed. These ones come from the tiltmeter network sited in Pozzuoli. Instead, the tidal data come from the tide gauge in Pozzuoli. Data have been analysed by means of a wavelet approach, using a Continuos Wavelet Transform and using, as so-called ＂Wavelet Mother＂, a Gabor-Morlet wavelet. For each time series, the principal harmonic constituents result： lunar semidiurnal （M2）, solar semidiumal （S2） and lunar diurnal （K1）. Other harmonic constituents, having frequencies higher than 1/hour, are present.These last ones could be interpreted as seiches and they could be linked up with generation of discrete plumes of rising magma. Frequencies at which there is the occurrence of these seiches are in agreement with previous studies.
文摘This paper introduced a novel self-adjustment of parameters of fuzzy neural networks. Then, the effects of cathode humidification temperature and anode flow rate on the performance of direct methanol fuel celI（DMFC） were described respectively. Two dynamic performance models of DMFC under the influences of cathode humidification temperature and anode flow rate were established separately based on fuzzy neural networks. The simulation results show the accuracy of the models established is satisfactory.
基金Supported by the Beijing Natural Science Funds (No. 6042025).
文摘Fuel moisture monitoring is an important component of fire danger rating system in fire management. This paper describes the application of NDVI images in monitoring potential fire danger and analyses the relationship between MODIS-NDVI and fire weather index. The series of weather data in Beijing are used in this analysis including fire seasons in spring during 2004 to 2005. Canadian Fire Weather Index (FWI) is selected in this study, because it can properly estimate moisture conditions of live fuel. Fine fuel moisture, drought code and FWI values are generated by using the squared inverse distance algorithm. Strong correlations have previously been observed between FWI variables and NDVI data. The MODIS-NDVI images can be used in fire management as component related with live fuel moisture and fire danger.
