Article
Meteorology & Atmospheric Sciences
Yun-chuan Yang, Jia-zhen Yang, Yi Tian, Li-ping Liao, Ru-min Gan, Wei-quan Wang, Ting-yan Wang, Chong-xun Mo, Xun-gui Li, Gui-kai Sun
Summary: The frequent occurrence of extreme drought events in Guangxi has caused huge losses to human beings and the economy in the region for many years. This study used run theory and the objective identification method of regional extreme events (OITREE) to comprehensively identify the multidimensional features of meteorological drought events in Guangxi. The research results can provide effective scientific support for operational drought forecast and early warning, and smart regulation of drought disaster risk.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Engineering, Civil
Qiqi Gou, Yonghua Zhu, Haishen Lu, Robert Horton, Xiaohan Yu, Haoqiang Zhang, Xiaoyi Wang, Jianbin Su, En Liu, Zhenzhou Ding, Zhenlong Wang, Fei Yuan
Summary: This study defines flash droughts using the standardized evaporative stress ratio method, tracks their spatial pathways, and analyzes the characteristics of flash drought events in the Huaibei Plain region of China. Results show that flash droughts frequently occur in the northeast and west, with an average duration of 31 days, primarily in May, August, and October.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Mechanical
Mohammad Hamidpour, Mohammad Rahim Nami, Amir Khosravifard
Summary: A numerical approach for identifying straight cracks in two-dimensional linear viscoelastic media is proposed in this study, utilizing the meshfree radial point interpolation method to solve the forward wave propagation problem. The method allows for accurate identification of crack parameters and demonstrates robustness and accuracy through various numerical tests. The proposed technique is shown to be capable of handling reasonable levels of measurement error and can effectively identify cracks under different sensor placements.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2021)
Article
Meteorology & Atmospheric Sciences
Dineshkumar Muthuvel, Mahesha Amai
Summary: This study examined the impact of concurrent droughts on crop yield in India using a copula-based multivariate approach. Results showed that concurrent droughts could lead to significant yield losses, with a teleconnection between ENSO and concurrent monsoon droughts.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Horticulture
Pushplata Prasad Singh, Ayushi Priyam, Jagdeep Singh, Naveen Gupta
Summary: The use of nanoparticles as plant nutrient supplementing source is an advanced and sustainable solution to reduce conventional fertilizer dosages and enhance crop health and yield, leading to the minimization of carbon footprint in agriculture.
SCIENTIA HORTICULTURAE
(2023)
Article
Agronomy
Kai Feng, Ziqi Yan, Yanbin Li, Fei Wang, Zezhong Zhang, Xiaoling Su, Haijiang Wu, Gengxi Zhang, Yingying Wang
Summary: This study adopted a three-dimensional identification method to investigate the spatiotemporal patterns of drought events in northwest China from 1961-2018. The results showed that a total of 169 drought events were identified, and drought variables exhibited a fluctuating decreasing trend. Three primary migration patterns were identified in northwest China, and Alxa League of Inner Mongolia and northwest Qinghai Province were the main drought centers.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Environmental Sciences
Krzysztof Raczynski, Jamie Dyer
Summary: This research introduces a new method for calculating low flow thresholds using breakpoint analysis, which allows for objective identification of the starting point of hydrological droughts and unifies the approach towards threshold levels. The method improves the ability to capture the occurrence of low flow events and identify hydrologic drought conditions.
Article
Engineering, Electrical & Electronic
Zijie Zhuang, Longhui Wei, Lingxi Xie, Haizhou Ai, Qi Tian
Summary: Person re-identification (ReID) aims to match identities across different cameras, but is challenging due to environmental factors and differences between cameras. This paper proposes a new solution using Camera-based Batch Normalization (CBN) operator to ensure consistent input distribution during training and testing, leading to improved generalization and transferability across different scenarios and training sets.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Wei Yang, Yancai Xiao, Haikuo Shen, Zhipeng Wang
Summary: In this paper, a self supervised learning auxiliary classifier generative adversarial net algorithm is proposed to enhance the defect identification of small sample data sets in welding. The algorithm is shown to outperform other methods in terms of sample quality and identification accuracy, providing a feasible solution for small sample defect identification.
Article
Engineering, Electrical & Electronic
Marc Greige, Ahmad Karfoul, Isabelle Merlet, Regine Le Bouquin Jeannes
Summary: In this letter, a dictionary-based method is proposed to detect and reconstruct the relationships between brain regions during epileptic seizures based on electroencephalographic signals. The method quantifies the relations between each dictionary candidate using a proximal alternating linearized minimization algorithm, and then estimates the involvement of different brain regions in the seizure onset by introducing an adaptive threshold. The method is consistent with clinical expertise.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Jelena Lukovic, John C. H. Chiang, Dragan Blagojevic, Aleksandar Sekulic
Summary: The onset of the rainy season in California has been progressively delayed since the 1960s, leading to a shorter and sharper precipitation season. This delay is related to the summer circulation pattern extending into autumn across the North Pacific, resulting in a later start of the North Pacific westerlies.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geosciences, Multidisciplinary
Ibrahim Njouenwet, Derbetini Appolinaire Vondou, Elisabeth Fita Dassou, Brian Odhiambo Ayugi, Robert Nouayou
Summary: The study revealed varying degrees of drought hazard in the Sudano-Sahelian region of Cameroon, especially during the growing seasons of maize and peanuts. Some areas show a trend towards a more humid crop-growing period, while others face significant dry trends and very high agricultural drought hazard zones.
Article
Geosciences, Multidisciplinary
Yumiao Wang, Xing Yuan
Summary: This study investigates a severe flash drought event that occurred in South China in 2019, finding that it was caused by cyclonic anomaly and geopotential height anomaly. Based on model data, results show that anthropogenic climate change increased the likelihood of rapid onset and intensity of the drought event.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Biochemistry & Molecular Biology
Liwen Xiong, Zirong Li, Weihua Li, Lanzhi Li
Summary: In this study, a new method called DT-PICS was developed for efficient and cost-effective SNP selection in germplasm identification. The method uses a decision tree concept to select the most informative SNPs and reduces redundancy in the selection process. The results demonstrate that DT-PICS is effective in germplasm identification and management, providing support for future plant breeding and conservation efforts.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Environmental Studies
Xiuhua Cai, Wenqian Zhang, Xiaoyi Fang, Qiang Zhang, Cunjie Zhang, Dong Chen, Chen Cheng, Wenjie Fan, Ying Yu
Summary: The comprehensive identification of drought events is crucial for monitoring and evaluating drought processes. Analysis of meteorological data in North China over the past 60 years revealed the distribution characteristics of different drought intensities in various regions, providing valuable insights for drought prevention and decision-making.
