A Method for Rapidly Determining the Seismic Performance of Buildings Based on Remote-Sensing Imagery and Its Application by Sihan Yu, Xiaofeng Xie, Peng Du, Xiaoqing Wang, Shun Yang, Chao Liu

“…This method can satisfy the real-world need for rapidly assessing the SP and distribution of buildings in a region before an earthquake occurs and provide a reliable reference for disaster prevention, mitigation, and relief efforts.…”
Get full text

Structural Characteristics of Regenerated Roof and Distribution Law of Overburden Porosity in Downward Mining of a Bifurcated Coal Seam by Ru Hu, Jiwen Wu, Xiaorong Zhai, Wenbao Shi, Kai Huang

Get full text

Ensemble Learning for Urban Flood Segmentation Through the Fusion of Multi-Spectral Satellite Data with Water Spectral Indices Using Row-Wise Cross Attention by Han Xu, Alan Woodley

“…In post-flood disaster analysis, accurate flood mapping in complex riverine urban areas is critical for effective flood risk management. …”
Get full text

Remote Sensing Scene Classification using ConvNeXt-Tiny Model with Attention Mechanism and Label Smoothing by Rachmawan Atmaji Perdana, Aniati Murni Arimurthy, Risnandar

“…RSSC plays an important role in many fields, such as agriculture, land mapping, and identification of disaster-prone areas. Therefore, a reliable and accurate RSSC algorithm is required to ensure the accuracy of land identification. …”
Get full text

Type I Fracture Toughness Test of Rock-like Materials Based on the Particle Flow Method by Ling Yue, Bangyong Yu, Chengxi Zhao, Fei Guo, Fei Huang

Get full text

Temporal and Spatial Evolution Characteristics of Extreme Climate Events in Grand Shangri-La Region from 1961 to 2019 by WU Yang, JIN Hanyu, CHENG Qingping

“…The Grand Shangri-La region connects the Qinghai-Tibet Plateau,the Yunnan-Guizhou Plateau,and the Hengduan Mountains and is of great geographical significance.Five rivers flow through the region,and the climate is vulnerable.Therefore,it is necessary to explore extreme climate changes and their response mechanism,so as to assess regional climate risks and achieve disaster warnings.Based on the daily temperature and precipitation data of 56 meteorological stations from 1961 to 2019,this paper analyzes changes in extreme climate indexes and their correlation with large-scale circulation index in the region by using Mann-Kendall,Sen's slope estimation,Pettitt test,and Pearson correlation analysis.The results show that:① The extreme warm index and the extreme precipitation intensity index (RX1day,R95p,R99p,and SDII) increase significantly,while the cold index (CSDI、FD、ID、TN10p、TX10p) and the number of continuous humid days decrease greatly.In terms of different seasons,the warming amplitude of most of the extreme temperature indexes in winter is higher than that in summer,and the precipitation intensity increases gradually in summer and autumn but decreases slightly in winter.② Spatially,the diurnal temperature range in the north of the Qinghai-Tibet Plateau is higher than that in the south,and the frequency of extremely high-temperature rises,with the high temperature appearing mostly in arid valleys in the south and east of the Qinghai-Tibet Plateau.The precipitation intensity is high in the south and west of the Hengduan Mountains,and persistent precipitation is strong in the Yalong River basin and the upper reaches of the Jinsha River in the north.③ Extreme climate indexes and south China sea summer monsoon index (SCSMI) are significantly correlated in the same year.In addition,there is a one-year response lag between the extreme precipitation index and Arctic oscillation (AO),North Atlantic oscillation (NAO),and Pacific decadal oscillation (PDO).The above analysis shows that the Grand Shangri-La region generally shows warming and humid climate characteristics.The frequency of heavy precipitation in flood season and warm winter events increases and is closely related to large-scale circulation.…”
Get full text

Hongtang Bridge Expansion Joints InSAR Deformation Monitoring with Advanced Phase Unwrapping and Mixed Total Least Squares in Fuzhou China by Baohang Wang, Wu Zhu, Chaoying Zhao, Bojie Yan, Xiaojie Liu, Guangrong Li, Wenhong Li, Liye Yang

Get full text

Structural Characteristics Analysis of Overlying Rocks and Prevention Measures with a Long-Wall Face Passing Across Abandoned Roadways: A Case Study by Zeng-Qiang Yang, Chang Liu, Guo-An Wang, Gang-Wei Li, Feng-Shuo Li

Get full text

Case Study of Ground-Based Glaciogenic Seeding of Clouds over the Pyeongchang Region by Ha-Young Yang, Ki-Ho Chang, Sanghee Chae, Eunsil Jung, Seongkyu Seo, Jin-Yim Jeong, Jung-Ho Lee, Yonghun Ro, Baek-Jo Kim

Get full text

Auxiliary Piers on Long-Span Specially Shaped Mixed Steel Structure Main Tower Cable-Stayed Bridge: Research on the Impact on the Dynamic Performance by Shanshan Guo, Deyong Cui, Shaokun Ma

Get full text

Causes of the exceptionally high number of fatalities in the Ahr valley, Germany, during the 2021 flood by B. Rhein, B. Rhein, H. Kreibich

“…Specific recommendations for disaster management are (1) that in the event of such extreme flash floods, the warning messages must focus on saving human lives – i.e. those at risk must be advised to move to safe places, e.g. to the upper floors, instead of trying to save belongings – and (2) evacuations must be initiated in good time, especially where flooding of the ground floor with high water levels is to be expected, paying particular attention to the safety of the elderly and people with limited mobility.…”
Get full text

Household needs among wildfire survivors in the 2017 Northern California wildfires by Mitchell Snyder, Mira Miles, Irva Hertz-Picciotto, Kathryn C Conlon

“…Results presented here along with other wildfire needs assessments can be utilized to improve disaster preparedness, including for wildfire recovery.…”
Get full text

Theoretical Research and Numerical Simulation on Water Resistance Mechanism of Textile Bag in Water Passage by Ang Li, Yuxuan Yang, Mingcheng Zhu, Wenzhong Zhang, Bingnan Ji, Xuesong Ding

“…It is an important problem in the mine water disaster prevention and control to control the large passage moving water. …”
Get full text

Influence of Mine Earthquake Disturbance on the Principal Stress of the Main Roadway near the Goaf and Its Prevention and Control Measures by Penghui Guo, Jiazhuo Li, Xiqing Hao, Heng Cui, Lihua Tian, Wenhao Xie, Jiaqi Chu

“…The research results can provide a certain reference basis for coal mine roadway pressure relief and reducing disaster conditions.…”
Get full text

Research Anti-Impact Mechanism of Roof Presplitting Blasting in Deep Composite Thick and Hard Key Strata by Xiaoqi Hao, Gang Han, Hu Liu, Jiahao Xie, Yawu Shao, Yin Zhang, Jinglong Cao, Qian Zhao

“…As an important means to control the hard roof, presplitting blasting is the main measure for controlling rock burst disaster in the key strata of the deep mine in the west. …”
Get full text

Mechanical Properties and Control Rockburst Mechanism of Coal and Rock Mass with Bursting Liability in Deep Mining by Ming-tao Gao, Zhen-qi Song, Hui-qiang Duan, Heng-qi Xin, Jian-quan Tang

“…In order to study the mechanism of the dynamic disaster of rockburst in a deep coal mine and the prevention and control measures of weakening shock, the MTS815.03 servocontrolled rock mechanics test system is used to test the coal, rock, and combined specimens with the buried depth of nearly 1200 m in Xinwen Mining Area. …”
Get full text

Provide a reliable location-allocation model in the humanitarian supply chain network using combined transport and the application of feasibility-robust planning by Alireza Hamidieh, Maryam Besharat Meymandi

“…Also, a combined approach of fuzzy programming with chance constraints and robust programming has been developed to deal with parametric uncertainty.Methodology: With the thorough assessment of the disaster areas of Iran, a comprehensive model of the relief network was designed including strategic and temporary distribution hubs along with a wide range of factors and effective parameters. …”
Get full text

SFSCDNet: A Deep Learning Model With Spatial Flow-Based Semantic Change Detection From Bi-Temporal Satellite Images by K. S. Basavaraju, N. Sravya, Vibha Damodara Kevala, Shilpa Suresh, Shyam Lal

“…Semantic change detection in remote sensing imagery plays a pivotal role in urban planning, environmental monitoring, and disaster assessment applications. Existing deep learning-based methods, particularly those relying on triple-branch architectures, often struggle to accurately localize and predict changes in complex spatial environments characterized by diverse land-cover types. …”
Get full text

Causal Discovery of Flight Service Process Based on Event Sequence by Qian Luo, Lin Zhang, Zhiwei Xing, Huan Xia, Zhao-Xin Chen

“…It avoids the occurrence of its dimensional disaster. Through the in-depth analysis of the flight safety reason node discovered by this method, it is found that the unreasonable scheduling of flight support personnel is an important reason for frequent flight delays at the airport.…”
Get full text

Mechanical properties and piecewise constitutive model of fine sandstone in mining area of western China by Qing Wang, Dongxiao Zhang, Fei Han, Yongqiang Zhao, Pengfei Zhang, Feng Xiong

Get full text