The Mental Health of Older Buddhists After the Wenchuan Earthquake

2011 ◽  
Vol 61 (5-6) ◽  
pp. 841-850 ◽  
Author(s):  
Xumei Wang ◽  
Ting Wang ◽  
Buxin Han
Keyword(s):  
Mental Health ◽  
Wenchuan Earthquake ◽  
The Wenchuan Earthquake

Symptoms of Posttraumatic Stress Disorder among Adult Survivors Two Months after the Wenchuan Earthquake

2009 ◽  
Vol 105 (3) ◽  
pp. 879-885 ◽  
Author(s):  
Li Wang ◽  
Yuqing Zhang ◽  
Zhanbiao Shi ◽  
Wenzhong Wang
Keyword(s):  
Mental Health ◽  
Posttraumatic Stress Disorder ◽  
Posttraumatic Stress ◽  
Wenchuan Earthquake ◽  
Stress Disorder ◽  
Adult Survivors ◽  
Event Scale ◽  
Disaster Victims ◽  
The Wenchuan Earthquake ◽  
The Impact

This study investigated the symptoms of Posttraumatic Stress Disorder (PTSD) and associated risk factors among adult survivors 2 mo. after the Wenchuan earthquake in China. 228 survivors completed the Chinese version of the Impact of Event Scale–Revised. The prevalence of probable PTSD was 43%. The significant predictive factors for the severity of PTSD symptoms included being female, having lower educational level, being bereaved, and witnessing death. Findings of this study suggest that PTSD is a common mental health problem among earthquake survivors in China. Given inadequate knowledge and practices concerning the mental health of disaster victims in China, the information provided by this study is useful for directing, strengthening, and evaluating disaster-related mental health needs and interventions after earthquakes.

Catastrophic debris flows triggered by the 20 August 2019 rainfall, a decade since the Wenchuan earthquake, China

Landslides ◽  
2021 ◽  
Author(s):  
Fan Yang ◽  
Xuanmei Fan ◽  
Srikrishnan Siva Subramanian ◽  
Xiangyang Dou ◽  
Junlin Xiong ◽  
...  
Keyword(s):  
Wenchuan Earthquake ◽  
Debris Flows ◽  
The Wenchuan Earthquake

scholarly journals Valuable Clues for DCNN-Based Landslide Detection from a Comparative Assessment in the Wenchuan Earthquake Area

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5191
Author(s):  
Chang Li ◽  
Bangjin Yi ◽  
Peng Gao ◽  
Hui Li ◽  
Jixing Sun ◽  
...  
Keyword(s):  
Wenchuan Earthquake ◽  
Remote Sensing Images ◽  
Machine Learning Methods ◽  
The Wenchuan Earthquake ◽  
Causative Factors ◽  
Multiple Structures ◽  
Sample Set ◽  
Larger Sample ◽  
Structure Layer ◽  
Earthquake Area

Landslide inventories could provide fundamental data for analyzing the causative factors and deformation mechanisms of landslide events. Considering that it is still hard to detect landslides automatically from remote sensing images, endeavors have been carried out to explore the potential of DCNNs on landslide detection, and obtained better performance than shallow machine learning methods. However, there is often confusion as to which structure, layer number, and sample size are better for a project. To fill this gap, this study conducted a comparative test on typical models for landside detection in the Wenchuan earthquake area, where about 200,000 secondary landslides were available. Multiple structures and layer numbers, including VGG16, VGG19, ResNet50, ResNet101, DenseNet120, DenseNet201, UNet−, UNet+, and ResUNet were investigated with different sample numbers (100, 1000, and 10,000). Results indicate that VGG models have the highest precision (about 0.9) but the lowest recall (below 0.76); ResNet models display the lowest precision (below 0.86) and a high recall (about 0.85); DenseNet models obtain moderate precision (below 0.88) and recall (about 0.8); while UNet+ also achieves moderate precision (0.8) and recall (0.84). Generally, a larger sample set can lead to better performance for VGG, ResNet, and DenseNet, and deeper layers could improve the detection results for ResNet and DenseNet. This study provides valuable clues for designing models’ type, layers, and sample set, based on tests with a large number of samples.

Resilience of adult survivors five years after the Wenchuan earthquake: A qualitative study

2020 ◽  
Vol 51 ◽  
pp. 101897
Author(s):  
Cuiping Ni ◽  
Ying Niu ◽  
Vico Chung-Lim Chiang ◽  
Xiaolian Jiang
Keyword(s):  
Qualitative Study ◽  
Wenchuan Earthquake ◽  
Adult Survivors ◽  
The Wenchuan Earthquake

A calculation method for predicting the runout volume of dam-break and non-dam-break debris flows in the Wenchuan earthquake area

Geomorphology ◽  
2019 ◽  
Vol 327 ◽  
pp. 201-214 ◽  
Author(s):  
Qunsheng Fang ◽  
Chuan Tang ◽  
Zhihe Chen ◽  
Shuaiyong Wang ◽  
Tao Yang
Keyword(s):  
Wenchuan Earthquake ◽  
Calculation Method ◽  
Debris Flows ◽  
Dam Break ◽  
The Wenchuan Earthquake ◽  
Earthquake Area
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