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Wavelet analyses of Geomagnetic Data regarding Major Geomagnetic Disturbances

Journal of Environmental Science and Engineering(B) 2021年第1期10卷 31-39页

作者： Laurentiu Asimopolos Natalia-Silvia Asimopolos Adrian Aristide Asimopolos Geological Institute of Romania Caransebes str.1012271BucharestRomania Faculty of Transportation University POLITEHNICA of BucharestSplaiul Independenei str.313060042 BucharestRomania

The purpose of this study was to analyze the associated spectrum of geomagnetic field,frequencies intensity and the time of occurrence.We calculated the variation of the correlation coefficients,with mobile windows of various sizes,for the recorded magnetic components at different latitudes and latitudes.The observatories we included in our study are USA(Surlari),HON(Honolulu),SBA(Scott Base),KAK(Kakioka),THY(Tihany),UPS(Uppsala),WNG(Wingst)and Yellowknife(YKC).We used the data of these observatories from International Real-time Magnetic Observatory Network(INTERMAGNET)for the geomagnetic storm from October 28-31,2003.We have used for this purpose a series of filtering algorithms,spectral analysis and wavelet with different mother functions at different levels.In the paper,we show the Fourier and wavelet analysis of geomagnetic data recorded at different observatories regarding geomagnetic storms.Fourier analysis hightlights predominant frequencies of magnetic field components.wavelet analysis provides information about the frequency ranges of magnetic fields,which contain long time intervals for medium frequency information and short time intervals for highlight frequencies,details of the analyzed signals.Also,the wavelet analysis allows us to decompose geomagnetic signals in different waves.The analyses presented are significant for the studies of the geomagnetic storm.The data for the next days after the storm showed a mitigation of the perturbations and a transition to quiet days of the geomagnetic field.

关键词： Fourier spectral deconvolution Wavelet analyses geomagnetic disturbances geomagnetic observatories

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wavelet methods reveal big cat activity patterns and synchrony of activity with preys

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Integrative Zoology 2022年第2期17卷 246-260页

作者： Jinzhe QI Marcel HOLYOAK Michael TDOBBINS Chong HUANG Qi LI Wen SHE Yao NING Quan SUN Guangshun JIANG Xiaochun WANG School of Forestry Northeast Forestry UniversityHarbinChina Feline Research Center of National Forestry and Grassland Administration College of Wildlife and Protected AreaNortheast Forestry UniversityHarbinChina Department of Environmental Science and Policy University of CaliforniaDavisCAUSA Jilin Wangqing National Nature Reserve Wangqing CountyChina

Appropriate temporal and spatial scales are important prerequisites for obtaining reliable results in studies of wildlife activity patterns and interspecific interactions.The spread of camera-trap technology has increased interest in and feasibility of studying the activity patterns and interspecific interactions of wildlife.However,such studies are often conducted at arbitrary spatial and temporal scales,and the methods used impose scale on the study rather than determining how activity and species interactions change with spatial scale.In this study,we used a waveletbased approach to determine the temporal and spatial scales for activity patterns and interspecific interactions on Amur leopard and their ungulate prey species that were recorded using camera traps in the main Amur leopard occurrence region in northeast China.wavelets identified that Amur leopards were more active in spring and fall than summer,and fluctuated with periodicities of 9 and 17 days,respectively.Synchronous relationships between leopards and their prey commonly occurred in spring and fall,with a periodicity of about 20 days,indicating the appropriate seasons and temporal scales for interspecific interaction research.The influence of human activities on the activity patterns of Amur leopard or prey species often occurred over longer time periods(60–64 days).Twodimensional Wavelet analyses showed that interactions between leopard and prey were more significant at spatial scales of 1 km2.Overall,our study provides a feasible approach to studying the temporal and spatial scales for wildlife activity patterns and interspecific interaction research using camera trap data.

关键词： activity patterns camera trap large carnivores temporal and spatial scale Wavelet analyses

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A study of the correlation between dengue and weather in Kandy City, Sri Lanka (2003 -2012) and lessons learned

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Infectious Diseases of Poverty 2015年第1期4卷 345-358,344页

作者： N D B Ehelepola Kusalika Ariyaratne W M N P Buddhadasa Sunil Ratnayake Malani Wickramasinghe The Teaching(General)Hospital-Kandy KandySri Lanka Faculty of Engineering University of RuhunaHapugalaSri Lanka

Background:Weather variables affect dengue transmission.This study aimed to identify a dengue weather correlation pattern in Kandy,Sri Lanka,compare the results with results of similar studies,and establish ways for better control and prevention of dengue.Method:We collected data on reported dengue cases in Kandy and mid-year population data from 2003 to 2012,and calculated weekly incidences.We obtained daily weather data from two weather stations and converted it into weekly data.We studied correlation patterns between dengue incidence and weather variables using the wavelet time series analysis,and then calculated cross-correlation coefficients to find magnitudes of correlations.Results:We found a positive correlation between dengue incidence and rainfall in millimeters,the number of rainy and wet days,the minimum temperature,and the night and daytime,as well as average,humidity,mostly with a five-to seven-week lag.Additionally,we found correlations between dengue incidence and maximum and average temperatures,hours of sunshine,and wind,with longer lag periods.Dengue incidences showed a negative correlation with wind run.Conclusion:Our results showed that rainfall,temperature,humidity,hours of sunshine,and wind are correlated with local dengue incidence.We have suggested ways to improve dengue management routines and to control it in these times of global warming.We also noticed that the results of dengue weather correlation studies can vary depending on the data analysis.

关键词： Dengue Weather Aedes Wavelet analyses Time series Neglected diseases Climate change Sri Lanka Disease vectors

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