Temporal and Spatial Distribution Characteristics of Rainstorm in China Based on CMORPH Integrated Precipitation by ZHAO Zixi, CHEN Zhihe

“…Based on the data set of China automatic station and CMORPH precipitation product fusion grid,this paper analyzes the spatial-temporal distribution characteristics and change trend of rainstorm number and rainstorm amount in 2008—2016 in China by the methods of rainfall object identification and Theil-Sen estimator.The research shows that there are 24 676 rainstorms in 2008—2016,including 20 135 small rainstorms,4 230 heavy rainstorms and 311 extremely heavy rainstorms.The rainstorm events in the whole year are at most in 2012 and at least in 2011with only 42,which occur frequently from May to September,accounting for 80.8% of the whole year.In 2010,2012 and 2014,the rainstorms in the coastal areas of South China and North China accounted for a relatively high proportion,some of which reached more than 60%.In 2008,2013 and 2016,the rainstorms in the coastal areas of South China and Hubei accounted for a relatively high proportion.From May to September,the rainstorm in China is widely distributed with large amount,mainly in the Pearl River Estuary,Northeast Jiangxi,and coastal areas of Hainan,Taiwan,Zhejiang and Fujian,with an annual average monthly rainstorm of about 150 mm.The number and amount of rainstorms are decreasing from the southeast coast to the northwest inland,with high value areas mainly in South China and the middle and lower reaches of the Yangtze River.The distribution of small rainstorms is similar to that of the total rainstorms.The heavy rainstorms are mainly concentrated in the coastal areas of Guangdong and Guangxi,the eastern Hainan and the southern Taiwan.Extremely heavy rainstorms are scattered in Southeast China.In the past 9 years,the number of rainstorms has increased,especially in South China and the middle and lower reaches of the Yangtze River,with significantly increased amount.…”
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CRE-YOLO: Efficient Jaboticaba Tree Detection on UAV Platforms by Junyu Huang, Renbo Luo, Yuna Tan, Zhuowen Wu

“…This study focuses on the detection of Jaboticaba trees in an orchard located in Nanxiong City, Guangdong Province, utilizing UAV platforms to enhance precision agriculture practices. …”
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A Data Decomposition and End-to-End Optimization-Based Monthly Carbon Emission Intensity of Electricity Forecasting Method by Yue Yan, Haoran Feng, Jinwei Song, Shixu Zhang, Shize Zhang, Qi He

“…Case studies conducted using actual data from Guangdong Province, China, demonstrate that the proposed method can effectively enhance monthly data, thereby improving prediction accuracy.…”
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Artificial intelligence in high-dose-rate brachytherapy treatment planning for cervical cancer: a review by Junyue Shi, Junyue Shi, Jun Chen, Gaokui He, Qinghe Peng

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Quantitative Identification of the Water Resistance Capacity of Composite Strata in Mining Coal Seam Floors by Xinyi Wang, Fang Li, Qi Wang, Bo Chen, Yu Zou, Bo Zhang

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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

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Application research of convolutional neural network and its optimization in lightning electric field waveform recognition by Caixia Wang, Xiaoyi Zhang, Hui Yang, Jinyuan Guo, Jia Xu, Zhuling Sun

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Spillover effects of rural residents’ past pro-environmental production behavior on their voluntary waste separation behavior by Yuhua Teng, Ning Li, Changjin Liu, Jing Yang, Yan Chen

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Analysis of Agricultural Non-point Source Pollution in A Small Watershed in Typical Mountainous Areas at Dongjiang Headwaters ——Taking the Dongjiang Watershed in Dingnan County as... by ZENG Jinfeng, PAN Hong, ZHANG Linan, ZHONG Jianhong, XIE Shuishi, ZHOU Shaomei

“…The current situation of agricultural non-point source pollution in a small watershed in typical mountainous areas at Dongjiang Headwaters were investigated and analyzed,and the agricultural non-point source pollution sources,pollution load and pollution load intensity in this watershed were analyzed,so as to provide a reference for ensuring the safety of water sources in the Guangdong-Hong Kong-Macao Greater Bay Area and promoting the precise pollution control in the watershed.The pollution types such as human settlements,agricultural planting,livestock and poultry breeding and aquaculture in the Dongjiang River Basin of Dingnan County were classified and investigated at the scale of county and township.The pollution load and pollution load intensity were estimated using the output coefficient method and the equivalent pollution load method,and the spatial distribution of pollutants was analyzed by clusteranalysis and ArcGIS.It was found that the main pollutants from agricultural non-point sources in the Dongjiang River Basin of Dingnan County were TN and NH⁺₄-N,which mainly came from human settlements and agricultural planting,and the pollution sources were concentrated in Lishi Town and Egong Town.Strengthening residents' awareness of water environmental protection,speeding up the construction of supporting sewage pipe networks,strengthening the operation and management of sewage equipments,and rationally applying nitrogen and phosphate fertilizers are of great significance for promoting the continuous emission reduction of agricultural non-point source pollution in the mountainous watershed at Dongjiang Headwaters.…”
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The relationship between social media fatigue and online trolling behavior among college students: the mediating roles of relative deprivation and hostile attribution bias by Lexin Huang, Liangkun Chen, Suwei Ma

“…Using a cross-sectional survey design, data were collected from 349 college students from Guangdong via an online questionnaire. Key variables, including social media fatigue, relative deprivation, and hostile attribution bias, were measured using validated scales: the SNS Fatigue Questionnaire, the Personal Relative Deprivation Scale, the Word Sentence Association Paradigm for Hostility, and the revised Global Assessment of Internet Trolling. …”
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First mitochondrial genome of Lutjanus ehrenbergii_ Peters 1869 (Lutjaniformes: Lutjanidae: Lutjanus) and phylogenetic analysis by Zengliang Miao, Shiyi Chen, Tingting Wang, Xun Jin, Shufei Zhang, Sixu Zheng, Yunpeng Wang, Taobo Feng, Luxiu Gao, Jian Chen

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Prediction model for economy-driven provincial natural gas load in China by Xueping DU, Zhikai LANG, Menglin LIU, Jiangtao WU

“…Under the scenario of a compound GDP growth rate of 5%, the total demand for natural gas in the ten provinces (municipalities directly under the Central Government) will reach 3 155×108 m3 in 2030, which is 2.5 times that of 2021. Among them, Guangdong Province and Hunan Province have the largest absolute increase and the highest growth rate of consumption, respectively. …”
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Predicting the Hall-Petch slope of magnesium alloys by machine learning by Bo Guan, Chao Chen, Yunchang Xin, Jing Xu, Bo Feng, Xiaoxu Huang, Qing Liu

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3D Monitoring Model for Real-Time Displacement of Metro Tunnel under “Dual Carbon” Background by Jianyong Chai, Limin Jia, Jian Cao, Jianfeng Liu, Zhe Chen, Shubin Li, Xuejuan Wang, Hong Han

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The Effects of Climate and Anthropogenic Activity on Hydrologic Features in Yanhe River by Yang Cheng, Hongming He, Nannan Cheng, Wenming He

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Adsorption and removal of pentavalent antimony from water by biochar prepared from modified rosa roxburghii residue by Yong Dai, Shengmao Zhao, Ruyi Zheng

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DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network by Yinan Cai, Zhao Meng, Dian Huang

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Wernicke encephalopathy in a patient with drug-induced liver failure: a case report by Jiao-Jiao Cao, Jing Li, Yan Cheng, Li-Min Luo, Yang Chen, Chang-Xing Huang, Ye Zhang

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Investigation of Burn Cut Parameters and Model for One-Step Raise Excavation Based on Damage Evolution Mechanisms by Kai Liu, Jiadong Qiu

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Study on the distance from green space and social capital of community residents based on the development of smart city—take the city of Lansing as an example by Dong Zheng, Xiaoxiao Wang, Han Yang, Jiezikang Zeng

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