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Hossein Hassani, Nadejda Komendantova, Elena Rovenskaya and Mohammad Reza Yeganegi
This research underscores the profound implications of Social Intelligence Mining, notably employing open access data and Google Search engine data for trend discernment. Utilizing advanced analytical methodologies, including wavelet coherence analysis a...
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Jing Yang, Chunli Liu, Qiwei Sun, Li Zhai, Qiming Sun, Shiji Li, Libo Ai and Xue Li
The Yellow Sea Cold Water Mass (YSCWM) is an important component of the hydrodynamic system and it significantly impacts the primary production of the Yellow Sea. This study investigated the difference in the interannual variability and long-term trends ...
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Yi Cai, Ruoyao Huang, Jia Xu, Jingwen Xing and Dongze Yi
Many irrigation districts along the Yellow River have been suffering shallow groundwater depression and agriculture-use water shortage. For comprehending response relationships of shallow groundwater level and various factors under different conditions o...
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Mohammed Isam Al-Hiyali, Norashikin Yahya, Ibrahima Faye, Maged S. Al-Quraishi and Abdulhakim Al-Ezzi
The study of functional connectivity (FC) of the brain using resting-state functional magnetic resonance imaging (rs-fMRI) has gained traction for uncovering FC patterns related to autism spectrum disorder (ASD). It is believed that the neurodynamic comp...
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Samia Nasreen, Aviral Kumar Tiwari, Zhuhua Jiang and Seong-Min Yoon
In this study, the dependence between Bitcoin (BTC) and economic policy uncertainty (EPU) of USA and China is estimated by applying the latest methodology of quantile cross-spectral dependence. Daily data comprising a total of 1947 observations and cover...
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Linyao Dong, Yiwei Guo, Wenjian Tang, Wentao Xu and Zhongjie Fan
Precise evaluation of the correlations among precipitation, groundwater and river water enhance our understanding on regional hydrological circulation and water resource management. The innovative and efficient use of wavelet analysis has been able to id...
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Kuruva Satish Kumar, Pallakury AnandRaj, Koppala Sreelatha, Deepak Singh Bisht and Venkataramana Sridhar
Traditional drought monitoring is based on observed data from both meteorological and hydrological stations. Due to the scarcity of station observation data, it is difficult to obtain accurate drought distribution characteristics, and also tedious to rep...
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Juan Carlos Rodríguez-Murillo and Montserrat Filella
Wavelet transform, wavelet spectra, and coherence are popular tools for studying fluctuations in time series in the form of a bidimensional time and scale representation. We discuss two aspects of wavelet analysis?namely the significance and stochastic/d...
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Ricardo David Valdez-Cepeda,Carlos Erick Galván-Tejada,Jorge Isaac Galván-Tejada,Guillermo Medina-García,Fidel Blanco-Macías,Santiago de Jesús Méndez-Gallegos,Rafael Magallanes-Quintanar
Pág. 285 - 299
A better understanding of the local and regional spatio-temporal variability of past precipitation is needed to contextualize climate change research. Monthly precipitation data from 59 stations in the state of Zacatecas, Mexico were transformed into sta...
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Wilmar Loaiza Cerón,Yesid Carvajal-Escobar,Rita Valeria Andreoli de Souza,Mary Toshie Kayano,Nathalia González López
Pág. 51 - 69
This paper analyzed the spatio-temporal variability of droughts in Cali, Colombia and their primary relations to the El Niño Southern Oscillation (ENSO). The Standardized Precipitation Index (SPI) was used to detect drought events from monthly rainfall d...
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