To accurately analyze the fluctuation range of time-varying differences in metro-to-bus transfer passenger flows,the application of a probabilistic interval prediction model is proposed to predict transfer passenger f...To accurately analyze the fluctuation range of time-varying differences in metro-to-bus transfer passenger flows,the application of a probabilistic interval prediction model is proposed to predict transfer passenger flows.First,bus and metro data are processed and matched by association to construct the basis for public transport trip chain extraction.Second,a reasonable matching threshold method to discriminate the transfer relationship is used to extract the public transport trip chain,and the basic characteristics of the trip based on the trip chain are analyzed to obtain the metro-to-bus transfer passenger flow.Third,to address the problem of low accuracy of point prediction,the DeepAR model is proposed to conduct interval prediction,where the input is the interchange passenger flow,the output is the predicted median and interval of passenger flow,and the prediction scenarios are weekday,non-workday,and weekday morning and evening peaks.Fourth,to reduce the prediction error,a combined particle swarm optimization(PSO)-DeepAR model is constructed using the PSO to optimize the DeepAR model.Finally,data from the Beijing Xizhimen subway station are used for validation,and results show that the PSO-DeepAR model has high prediction accuracy,with a 90%confidence interval coverage of up to 93.6%.展开更多
The genus Caniatta Solovyev&Witt,2009,belonging to the family Limacodidae,is reported for the first time from Yunnan Province in China,with the redescription of the newly recorded species Caniatta levis Solovyev&a...The genus Caniatta Solovyev&Witt,2009,belonging to the family Limacodidae,is reported for the first time from Yunnan Province in China,with the redescription of the newly recorded species Caniatta levis Solovyev&Witt,2009.Illustrations of the adults and genitalia along with its distribution are provided.展开更多
A new species of the genus Diduga Moore(1887)is described from Malaysia(Borneo,Sabah):D.weiweii sp.nov.Images of adults and genitalia of this new species are provided.
The second species of the genus Coarica Moore,1882,C.dingi Cheng&Han sp.nov.,is described from Shaanxi Province in China.A key to the Coarica based on the male genitalia is provided.
Dynamic Global Vegetation Models(DGVM)are powerful tools for studying complicated ecosystem processes and global changes.This review article synthesizes the developments and applications of the Integrated Biosphere Si...Dynamic Global Vegetation Models(DGVM)are powerful tools for studying complicated ecosystem processes and global changes.This review article synthesizes the developments and applications of the Integrated Biosphere Simulator(IBIS),a DGVM,over the past two decades.IBIS has been used to evaluate carbon,nitrogen,and water cycling in terrestrial ecosystems,vegetation changes,land-atmosphere interactions,land-aquatic system integration,and climate change impacts.Here we summarize model development work since IBIS v2.5,covering hydrology(evapotranspiration,groundwater,lateral routing),vegetation dynamics(plant functional type,land cover change),plant physiology(phenology,photosynthesis,carbon allocation,growth),biogeochemistry(soil carbon and nitrogen processes,greenhouse gas emissions),impacts of natural disturbances(drought,insect damage,fire)and human induced land use changes,and computational improvements.We also summarize IBIS model applications around the world in evaluating ecosystem productivity,carbon and water budgets,water use efficiency,natural disturbance effects,and impacts of climate change and land use change on the carbon cycle.Based on this review,visions of future cross-scale,cross-landscape and cross-system model development and applications are discussed.展开更多
基金The National Key Research and Development Program of China(No.2019YFB160-0200)the National Natural Science Foundation of China(No.71871011,71890972/71890970)。
文摘To accurately analyze the fluctuation range of time-varying differences in metro-to-bus transfer passenger flows,the application of a probabilistic interval prediction model is proposed to predict transfer passenger flows.First,bus and metro data are processed and matched by association to construct the basis for public transport trip chain extraction.Second,a reasonable matching threshold method to discriminate the transfer relationship is used to extract the public transport trip chain,and the basic characteristics of the trip based on the trip chain are analyzed to obtain the metro-to-bus transfer passenger flow.Third,to address the problem of low accuracy of point prediction,the DeepAR model is proposed to conduct interval prediction,where the input is the interchange passenger flow,the output is the predicted median and interval of passenger flow,and the prediction scenarios are weekday,non-workday,and weekday morning and evening peaks.Fourth,to reduce the prediction error,a combined particle swarm optimization(PSO)-DeepAR model is constructed using the PSO to optimize the DeepAR model.Finally,data from the Beijing Xizhimen subway station are used for validation,and results show that the PSO-DeepAR model has high prediction accuracy,with a 90%confidence interval coverage of up to 93.6%.
基金funded by the National Natural Science Foundation of China(31872261)the Fundamental Research Funds for the Central Universities(2572019CP11)。
文摘The genus Caniatta Solovyev&Witt,2009,belonging to the family Limacodidae,is reported for the first time from Yunnan Province in China,with the redescription of the newly recorded species Caniatta levis Solovyev&Witt,2009.Illustrations of the adults and genitalia along with its distribution are provided.
基金supported by the National Nature Science Foundation of China(31872261,31572294)the Fundamental Research Funds for the Central Universities(2572019CP11)。
文摘A new species of the genus Diduga Moore(1887)is described from Malaysia(Borneo,Sabah):D.weiweii sp.nov.Images of adults and genitalia of this new species are provided.
基金supported by grants from the National Nature Science Foundation of China(31872261,31572294)a grant from the Key Laboratory of the Zoological Systematics and Evolution of the Chinese Academy of Sciences(E052G11)+1 种基金the Fundamental Research Funds for the Central Universities(2572019CP11)the Ministry of Science and Technology of China(2019FY100400)。
文摘The second species of the genus Coarica Moore,1882,C.dingi Cheng&Han sp.nov.,is described from Shaanxi Province in China.A key to the Coarica based on the male genitalia is provided.
基金The Key Project of National Natural Science Foundation of China(41930651)The National Natural Science Foundation of China(41871334)。
文摘Dynamic Global Vegetation Models(DGVM)are powerful tools for studying complicated ecosystem processes and global changes.This review article synthesizes the developments and applications of the Integrated Biosphere Simulator(IBIS),a DGVM,over the past two decades.IBIS has been used to evaluate carbon,nitrogen,and water cycling in terrestrial ecosystems,vegetation changes,land-atmosphere interactions,land-aquatic system integration,and climate change impacts.Here we summarize model development work since IBIS v2.5,covering hydrology(evapotranspiration,groundwater,lateral routing),vegetation dynamics(plant functional type,land cover change),plant physiology(phenology,photosynthesis,carbon allocation,growth),biogeochemistry(soil carbon and nitrogen processes,greenhouse gas emissions),impacts of natural disturbances(drought,insect damage,fire)and human induced land use changes,and computational improvements.We also summarize IBIS model applications around the world in evaluating ecosystem productivity,carbon and water budgets,water use efficiency,natural disturbance effects,and impacts of climate change and land use change on the carbon cycle.Based on this review,visions of future cross-scale,cross-landscape and cross-system model development and applications are discussed.
