[ Objective] The study aimed to analyze and predict the suitable period of laver along the coastal areas of Jiangsu Province. [ Method ] TO enhance the ability of meteorology to service laver culture, using the modern...[ Objective] The study aimed to analyze and predict the suitable period of laver along the coastal areas of Jiangsu Province. [ Method ] TO enhance the ability of meteorology to service laver culture, using the modern weather forecast technology, agricultural weather prediction was de- veloped according to the demands for meteorological conditions during laver production. [ Result] From south to north, there were certain differ- ences in the suitable periods of laver culture, breeding and harvesting, with slight variations. The forecast of the first and last days of certain water temperature could provide scientific references for the meteorological service of laver culture, and the service effect became better after it was modi- fied with the aid of the medium-term and long-term weather prediction. [ Conclusion] The research can offer theoretical bases for the culture of laver along the coastal areas of Jiangsu Province.展开更多
A laboratory leaching experiment with samples of different grades was carried out, and an analytical method of concentration of leaching solution was put forward. For each sample, respectively, by applying phase space...A laboratory leaching experiment with samples of different grades was carried out, and an analytical method of concentration of leaching solution was put forward. For each sample, respectively, by applying phase space reconstruction for time series of monitoring data, the saturated embedding dimension and the correlation dimension were obtained, and the evolution laws between neighboring points in the reconstructed phase space were revealed. With BP neural network, a prediction model of concentration of leaching solution was set up and the maximum error of which was less than 2%. The results show that there exist chaotic characteristics in leaching system, and samples of different grades have different nonlinear dynamic features; the higher the grade of sample, the smaller the correlation dimension; furthermore, the maximum Lyapunov index, energy dissipation and chaotic extent of the leaching system increase with grade of the sample; by phase space reconstruction, the subtle change features of concentration of leaching solution can be magnified and the inherent laws can be fully demonstrated. According to the laws, a prediction model of leaching cycle period has been established to provide a theoretical foundation for solution mining.展开更多
We propose the pseudo-periodicity method and its quantitative prediction indexes for the occurrence time of earlier strong aftershock. We conducted tests of regressive prediction, and the R-value of the tests is 0.45,...We propose the pseudo-periodicity method and its quantitative prediction indexes for the occurrence time of earlier strong aftershock. We conducted tests of regressive prediction, and the R-value of the tests is 0.45, indicating that this method is effective for prediction.展开更多
基金Supported by National Research Fund for Public Welfare (Meteorology) of China (GYHY201006029)Meteorological Scientific Research Open Fund of Jiangsu Province,China (ZD201108)
文摘[ Objective] The study aimed to analyze and predict the suitable period of laver along the coastal areas of Jiangsu Province. [ Method ] TO enhance the ability of meteorology to service laver culture, using the modern weather forecast technology, agricultural weather prediction was de- veloped according to the demands for meteorological conditions during laver production. [ Result] From south to north, there were certain differ- ences in the suitable periods of laver culture, breeding and harvesting, with slight variations. The forecast of the first and last days of certain water temperature could provide scientific references for the meteorological service of laver culture, and the service effect became better after it was modi- fied with the aid of the medium-term and long-term weather prediction. [ Conclusion] The research can offer theoretical bases for the culture of laver along the coastal areas of Jiangsu Province.
基金Project(51374035)supported by the National Natural Science Foundation of ChinaProject(2012BAB08B02)supported by the National“Twelfth Five”Science and Technology,ChinaProject(NCET-13-0669)supported by New Century Excellent Talents in University of Ministry of Education of China
文摘A laboratory leaching experiment with samples of different grades was carried out, and an analytical method of concentration of leaching solution was put forward. For each sample, respectively, by applying phase space reconstruction for time series of monitoring data, the saturated embedding dimension and the correlation dimension were obtained, and the evolution laws between neighboring points in the reconstructed phase space were revealed. With BP neural network, a prediction model of concentration of leaching solution was set up and the maximum error of which was less than 2%. The results show that there exist chaotic characteristics in leaching system, and samples of different grades have different nonlinear dynamic features; the higher the grade of sample, the smaller the correlation dimension; furthermore, the maximum Lyapunov index, energy dissipation and chaotic extent of the leaching system increase with grade of the sample; by phase space reconstruction, the subtle change features of concentration of leaching solution can be magnified and the inherent laws can be fully demonstrated. According to the laws, a prediction model of leaching cycle period has been established to provide a theoretical foundation for solution mining.
文摘We propose the pseudo-periodicity method and its quantitative prediction indexes for the occurrence time of earlier strong aftershock. We conducted tests of regressive prediction, and the R-value of the tests is 0.45, indicating that this method is effective for prediction.
