Wenchuan Earthquake Research Articles

Revealing the potential causality of suicidal ideation and psychopathic symptoms among survivors 10 years after the Wenchuan earthquake using network analysis.

Little is known about the interactions and causal inference between psychopathic symptoms and suicidal ideation (SI) among earthquake survivors. Using a 10-year large cohort of Chinese adolescents exposed to the Wenchuan earthquake, this study aimed to structure networks of suicidal ideation and some specific symptoms of posttraumatic symptoms and depression among survivors of the Wenchuan earthquake to clarify the interactions and causality between these symptoms. A total of 684 survivors who completed surveys at 6 months and 10 years postearthquake and had one or above psychopathic symptoms were included in the analyses. Sociodemographic, posttraumatic stress symptoms, depressive symptoms, and suicidal ideation were measured at 6 months and/or 10 years postearthquake. Network analyses were performed based on R Version 4.1.3. The Gaussian graphical model network revealed that "depressed mood" had the highest expected influence value. In addition, the directed acyclic graph network revealed that anhedonia could affect "depressed mood," which further leads to "suicidal ideation." The pathway of "anhedonia → depressed mood → suicidal ideation" was a crucial psychopathic mechanism of suicidal ideation. It informs that intervening in anhedonia and depressed mood among earthquake-exposed survivors is necessary to potentially decrease the risk of future suicidal ideation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Robotics in Disaster Management: AI-Driven Rescue, Aerial Mapping, and Emerging IoT Applications for Effective Response

This review paper explores the growing role of robotics in disaster management, focusing on the integration of artificial intelligence (AI), Internet of Things (IoT) applications, and advanced simulation environments. Highlighting lessons from events like the Fukushima nuclear disaster and Wenchuan earthquake, it examines the deployment of aerial, ground, and underwater robots in tasks such as data collection, search and rescue, and hazard monitoring. AIoT frameworks enable these robotic systems to classify objects and make decisions on-site, supporting timely and efficient responses in hazardous conditions. Virtual platforms like the DARPA Virtual Robotics Challenge, using simulators such as Gazebo and CloudSim, facilitate realistic testing of robotic capabilities in disaster scenarios, advancing operational readiness through virtual training. This review synthesizes recent progress in AI-driven disaster robotics, identifies challenges, and discusses potential improvements for future applications.

Quantitative assessment and dynamic characteristic measurement of regional resilience: from the perspective of post-earthquakes effects

Strong geological disasters have caused persistent losses in society, economy, and ecological environments. Given the unique geographical settings of the stricken areas, their resilience is prone to damage or even loss. Comprehensive risk assessment of natural disasters is the core content and important foundation for building regional resilience. Therefore, conducting dynamic characteristics analysis of resilience in mountainous disaster areas impacted by strong earthquake geological disasters is vital for ensuring the region's high-quality and sustainable development. This article takes the 51 stricken areas of Wenchuan earthquake as the research object. To this end, social, economic and ecological environmental data from 2008 to 2020 was hereby collected. Initially, a regional resilience assessment system based on "socio-economic-ecological environment" was established, considering the long-term and spatial heterogeneity of geological disasters. Secondly, the regional resilience assessment model was constructed using Spectral clustering-genetic algorithm-improved entropy weight method. Following that, the dynamic characteristics of regional resilience were quantitatively analyzed from two aspects, including change velocity state and change rate trend. Finally, based on the regional resilience characteristics, differentiated resilience enhancement strategies were proposed. Collectively, the results revealed that: (1) From a geological disaster standpoint, the risk in post-earthquake disaster areas exhibited a strikingly rapid decline, with the spatial distribution of geological disaster risk being notably higher in the central areas and diminishing towards the peripheries. (2) Overall, the regional resilience of the 51 stricken areas showed a "V-shaped" trend, with a significant upturn since 2012. (3) From the perspective of dynamic characteristics, more counties (cities) presented an upward trend. (4) The 51 stricken areas were hereby divided into the "benchmarking type", the "declination type", the "backward type", and the "potential type". In conclusion, the current study enhances the technical framework for evaluating regional resilience and provides technical support for the construction of resilient cities.

Liquefaction evaluation on sand-like gravelly soil deposits based on field Vs measurements during the 2008 Wenchuan earthquake

During the 2008 Wenchuan earthquake, extensive liquefaction of sand-like gravelly soil deposits was observed over an area of about 500 × 200 km2. Since gravel content significantly affects the stiffness and liquefaction resistance of gravelly soils, it has become an ongoing challenge for engineers to reliably and cost-effectively assess the liquefaction resistance of such soil deposits with different gravel contents. To this end, the procedures for consistently assessing the liquefaction resistance of sand-like gravelly soils were first put forward based on the previously proposed improved CRR-Vs1 characterization model for binary mixtures, which converts the liquefaction evaluation of sand-like gravelly soils into the assessment of liquefaction resistance of the base sand matrix with an equivalent stiffness. Then, in-situ gravelly soils sampled from the earthquake-impacted area were tested to parameterize the proposed characterization model. Lastly, liquefaction case histories of gravelly soils compiled during the 2008 Wenchuan earthquake were recompiled and restudied to validate the performance of the proposed characterization model. Typical liquefaction case history studies show that the proposed characterization model successfully predicts the severe liquefaction hazard at the Banqiao school site and the marginal liquefaction phenomenon at the Jiangyou thermal power plant site. Comparisons between the proposed characterization model and the 54 recompiled liquefaction case history datasets demonstrate that the proposed characterization model can accurately discriminate both the liquefied and non-liquefied case histories. These validation results in turn suggest that the proposed characterization model is highly feasible for engineering applications on a regional scale covering various gravel contents.

Supplemental Material for Revealing the Potential Causality of Suicidal Ideation and Psychopathic Symptoms Among Survivors 10 Years After the Wenchuan Earthquake Using Network Analysis

Supplemental Material for Revealing the Potential Causality of Suicidal Ideation and Psychopathic Symptoms Among Survivors 10 Years After the Wenchuan Earthquake Using Network Analysis

Distribution-agnostic landslide hazard modelling via Graph Transformers

In statistical applications, choosing a suitable data distribution or likelihood that matches the nature of the response variable is required. To spatially predict the planimetric area of a landslide population, the most tested likelihood corresponds to the Log-Gaussian case. This causes a limitation that hinders the ability to accurately model both very small and very large landslides, with the latter potentially leading to a dangerous underestimation of the hazard. Here, we test a distribution-agnostic solution via a Graph Transformer Neural Network (GTNN) and implement a loss function capable of forcing the model to capture both the bulk and the right tail of the landslide area distribution. An additional problem with this type of data-driven hazard assessment is that one often excludes slopes with landslide areas equal to zero from the regression procedure, as this may bias the prediction towards small values. Due to the nature of GTNNs, we present a solution where all the landslide area information is passed to the model, as one would expect for architectures built for image analysis. The results are promising, with the landslide area distribution generated by the Wenchuan earthquake being suitably estimated, including both zeros, the bulk and the extremely large cases. We consider this a step forward in the landslide hazard modelling literature, with implications for what the scientific community could achieve in light of a future space–time and/or risk assessment extension of the current protocol.

Characterizing the evolution of the Daguangbao landslide nearly 15 years after the 2008 Wenchuan earthquake by InSAR observations

The Daguangbao landslide (DGBL), the largest landslide triggered by the 2008 Ms 8.0 Wenchuan earthquake, has received much attention, but its long-term post-earthquake evolution and driving force of activity are still poorly understood. As the evolutionary behavior of the DGBL is complicated by the influence of mainshock, aftershocks and rainfall, it is of great significance to study the dynamics of the landslide. In this study, a systematic and comprehensive framework for assessing the long-term stability and risk of co-seismic landslides was proposed. Based on ALOS-1 and Sentinel-1 data, time-series InSAR technology was used to reveal the nearly 15-year post-seismic evolution characteristics of the DGBL at different stages, followed by the prediction of the stabilization time, the estimation of the landslide thickness and risk assessment. The first stage was identified as three years after the earthquake (2008–2011). During this stage, ALOS-1 results show that the deformation of DGBL was intense (300 mm/year) with uneven spatial distribution, and an aftershock (Ms 5.3), along with increased rainfall, triggered its acceleration in 2009. The second stage was the period from 2014 to 2022. For this stage, we used the mass conservation approach to invert the thickness of the DGBL, revealing that a new sliding surface and thickness center had formed following the co-seismic failure in 2008. Sentinel-1 time series results indicated that the DGBL remains active even 15 years after the Wenchuan earthquake, but the deformation of DGBL has significantly slowed down (50 mm/year). The stabilization time for different segments of DGBL was predicted to range from 2027 to 2040 according to an exponential model. Beyond the overall trend of recovery, seasonal movements (including localized acceleration in 2021) closely related to rainfall remained evident, but the impact of aftershocks on the DGBL was severely weakened over time. UAV and field survey results suggested that the risk of localized debris flows at DGBL still exists. Our study improves our understanding of the long-term evolutionary pattern of DGBL and provides an important reference for post-earthquake landslide risk assessment and disaster prevention.

Study on the attenuation relationship of the acceleration envelope parameters for the Wenchuan earthquake aftershocks

The seismic attenuation relationship between ground motion parameters (such as peak acceleration and response spectra value) and seismic parameters (such as magnitude and epicentral distance) is an important foundation for seismic hazard analysis and the core of determining seismic input parameters for seismic resistance engineering. The acceleration envelope parameters, which describe the relationship between ground motion intensity and time variation, are primarily used for artificially synthesizing seismic motion. At present, little research has been performed on the attenuation relationship of acceleration envelope parameters in the Longmenshan fault zone on the eastern side of the Tibetan Plateau in China. Therefore, this study selected the Mw4-6 aftershock records of the 2008 Wenchuan earthquake that occurred on the Longmenshan fault zone and established a commonly used three segment envelope model parameter attenuation relationship. We classified aftershock records based on their source mechanisms and obtained attenuation relationship models for thrust slip aftershocks, thrust and strike slip aftershocks, and strike slip aftershocks. The results are as follows: (1) The thrust slip aftershock records had the longest rising stage which is the time difference from the arrival of P-waves to the beginning of the stable sustained stage of seismic motion. Thrust and strike slip aftershocks records had the longest stable sustained stage period and the slowest attenuation at the tail of the record. (2) The attenuation relationship of the acceleration envelope parameters commonly used in Chinese engineering for artificially synthesizing seismic motion is based on the strong earthquake records in the western United States. But, compared to the attenuation characteristics of the acceleration envelope function in the western United States, the Mw4-6 earthquake records on the Longmenshan fault zone had a slower attenuation rate at the tail of the record. So, accurately artificially synthesizing seismic motion through envelope parameter attenuation model requires the use of attenuation model established by earthquake records in this region.

Study on the evaluation of the effectiveness of centralized post-disaster housing reconstruction in rural areas of Dujiangyan city after the Wenchuan earthquake

Abstract The Wenchuan earthquake caused severe damage to rural areas in Dujiangyan. Determining the reconstruction plan for farmers’ housing and unifying reconstruction opinions, while ensuring the rational distribution of resources, became a key focus for the government. As post-disaster reconstruction planning progressed and neared completion, comparative and innovative studies on rural land systems before and after the earthquake, as well as patterns of farmers’ housing reconstruction, became important research topics. Traditional studies lack empirical assessments of rural housing reconstruction models from a micro perspective. This paper analyzes and compares the resettlement effects of three typical housing reconstruction models in rural Dujiangyan, aiming to supplement empirical assessments of post-disaster rural reconstruction effectiveness. It reflects the impacts and effects of different reconstruction models selected through collective resolutions in typical towns of Dujiangyan, considering aspects such as development intensity, resettlement efficiency, economic income, and living environment. This analysis helps understand the differences that various reconstruction methods may bring to communities, aiming to summarize past experiences, optimize reconstruction planning and management, and enhance the satisfaction and well-being of disaster-affected people in rural housing reconstruction.

Multi-period emergency facility location-routing problems under uncertainty and risk aversion

This paper addresses a multi-period emergency facility location-routing problem, in which the uncertainties in material demands and transportation time, as well as dynamic inventory replenishment and carryover are incorporated in the design of multi-level emergency logistics networks. To measure the risks stemming from uncertain transportation time, mean-CVaR method is used. Then, a risk-averse stochastic programming model for the presented problem is formulated to minimize the total rescue time of the network. Moreover, a genetic algorithm is developed to solve the proposed model. Extensive numerical experiments including the randomly generated instances and a case study on the Wenchuan earthquake in China are conducted to verify the effectiveness of the presented model and algorithm. Experimental results show that the genetic algorithm significantly performs better than the Gurobi solver in terms of both solution quality and solution time.

Shallow crustal structure of the northern Longmen Shan fault zone revealed by a dense seismic array with ambient noise analysis

The Longmen Shan (LMS) fault zone located in the southwest of China is not only the boundary tectonic zone of the Tibetan Plateau and South China block, but also an important part of the north–south seismic belt of China. To investigate the detailed crustal structure of the LMS fault zone, we deployed a dense seismic array of 151 short-period temporary stations in its northern section from March 16 to April 6, 2023. Continuous vertical component ambient noise waveforms recorded by these stations were cross-correlated for all station pairs, enabling the extraction of Rayleigh wave phase velocity dispersion curves across periods ranging from 0.5 s to 6 s. We then inverted these data to derive the crustal shear wave velocity using direct surface wave tomography. Meanwhile, a linear sub-array consisting of 54 stations and crossing the surface rupture of the 2008 Wenchuan earthquake was used to image the fault structure by applying the Transmitted Surface Wave Reverse Time Migration method (TSW-RTM). The ambient noise tomography results show that strong lateral heterogeneity exists in the shallow crust in the study area, with a high shear velocity in the northwest and a low shear velocity in the southeast. The low shear velocity is generally distributed between the Yingxiu-Beichuan fault (YBF) and the Guanxian-Jiangyou fault (GJF). The results of TSW-RTM indicate that the Wenchuan-Maoxian fault (WMF) and the YBF are both characterized with a steep dip to the northwest. Our results could serve as the important basis for the study of segmentation characteristics of the LMS fault and seismic hazard preparation and mitigation.

Role of coseismic bedrock landslides in the landscape evolution of high-relief mountainous terrain: Insights from detrital 10Be dilution modeling

Episodic landslides supply vast quantities of debris from hillslopes to channels, resulting in the dilution of cosmogenic nuclides in fluvial sediment. This study revisited the nuclide dilution concept and proposed a novel model framework to quantify landslide-derived sediment yields to interpret the responses of entire landscape systems to tectonic forcing in an active orogen. The model was applied to datasets of detrital 10Be concentrations obtained from the Minjiang catchment in the eastern margin of the Tibetan Plateau, where the impacts of coseismic landslides were documented during the 2008 Wenchuan earthquake. Presumable model parameters were evaluated through multifaceted geospatial analyses by adopting the normalized channel steepness index as a proxy for background denudation rate, which was then converted to the corresponding nuclide concentration; the fluvial channel geometry was adopted for evaluating pre-event fluvial sediment storage. The scaling factors for quantifying the landslide debris influx were obtained via inversion of the diluted 10Be concentrations and corresponding landslide inventory to verify the feasibility of the model. The calibrated model was then applied at the regional scale to evaluate the long-term net denudation of the hillslopes with a certain earthquake recurrence interval. The resulting spatial distribution of increased denudation is consistent with very-long-term exhumation rates derived from low-temperature thermochronology, implying the critical role of coseismic landslides in mass removal from hillslopes to counterbalance long-term tectonic uplift.

Seismic vulnerability analysis of hospitals and school buildings considering the Gaussian regression algorithm

This study combines the Gaussian regression algorithm to propose a nonlinear regression model that can be used to evaluate the seismic vulnerability of regional hospitals and school buildings. The failure features and disaster mechanisms of hospital and school buildings affected by the Jishishan (JSS) earthquake on December 18, 2023, and the Wenchuan (WC) earthquake on May 12, 2008, were reported. The samples of 252 damaged buildings (37 hospitals and 215 schools) in Dujiangyan city affected by the Wenchuan earthquake for which the author participated in the survey were collected and counted. Hospitals and school buildings were classified according to the types of reinforced concrete (RC) and masonry structures, and earthquake vulnerability probability matrices for hospital and school building clusters were established considering the actual failure probabilities. A total of 2103,213 acceleration records (from the Wenchuan earthquake) monitored by 12 real stations were selected. Using dynamic time history and response spectrum analysis methods, time history and spectrum curves were generated, considering the influence of different seismic directions. Using the developed Gaussian regression model, vulnerability comparison curves and parameter matrices considering multiple regression algorithms were generated. This paper considers the effects of the construction year and number of floors on the seismic vulnerability of hospital and school buildings. Seismic vulnerability curves and failure probability matrices were generated and established on the basis of actual structural failure probabilities. According to regression and vulnerability surface analysis, the evaluation results of the proposed model are highly consistent with actual field observations.

Qualitative study on health self-management of patients with metabolic syndrome among bereaved population after earthquake

The study explore the influencing factors and healthy self-management of MS patients with bereaved relatives after Wenchuan and Yushu Earthquake of their real life; explore difficulties and challenges in the process of self-management; and supply information that could not be sought in quantitative studies. Purposive sampling was used to recruit 36 MS patients who are bereavement population in two earthquakes, and those patients met the inclusion criteria for semi-structured focus group interview. The Nvivo11 software was used to collate and analyze the transcribed data. The main influencing factors of health self-management behavior for MS patients are as follows: the degree of understanding of disease prevention knowledge, emotion management induced by earthquake trauma, the source of disease-related information, access and identification are very limited; ethnic traditional culture, religious beliefs, and production activities and routines before and after the earthquake is an important factor in their healthy self-management behavior. The lack of health beliefs and self-efficacy of MS patients among bereaved families after Wenchuan and Yushu earthquake are key obstacle in their self-management. The overall level of the knowledge of patients’ MS prevention, self-efficacy and self-management behaviors are still low. Some positive factors that can be changed including MS prevention knowledge, self-efficacy, social support, and family function. Some negative factors which can be improved afterwards, including negative coping style, traumatic life experiences from earthquake and smoking.

Posttraumatic stress disorder symptoms in mothers and adolescents after the Wenchuan earthquake: A cross-sectional and longitudinal network analysis

ObjectiveThis study used network analysis to investigate the cross-sectional and longitudinal network between PTSD symptoms within mother-adolescent dyads at 12 and 18 months after the 2008 Wenchuan earthquake. MethodsThe sample was from the Wenchuan Earthquake Adolescent Health Cohort. 399 mother-adolescent dyads completed the Posttraumatic Stress Disorder Self-Rating Scale at 12 and 18 months after the earthquake. We assessed central symptoms (those with the most significant influence on other symptoms) and bridge symptoms (symptoms connecting different communities) in contemporary networks (i.e., cross-sectional networks). Subsequently, cross-lagged panel network analyses (CLPN) were performed to estimate longitudinal relationships among symptoms between dyads. ResultsIn the contemporary networks, symptoms such as “intrusive thoughts” of both dyads and “flashbacks” of adolescents were central, indicating that they are crucial in maintaining the network of PTSD symptoms. Additional symptoms such as maternal “difficulty in concentration” and dyads’ “pessimism and disappointment” should also be considered because of their central roles. Moreover, the temporary network did not directly replicate the contemporary networks, with adolescents’ “nightmares” at 12 months having a high influence on other PTSD symptoms at 18 months. LimitationsSelf-reported tools other than clinical diagnoses were used to collect data. ConclusionsThese symptom-level associations at cross-sectional and longitudinal networks extend our understanding of PTSD symptoms among mother-adolescent dyads by pointing to specific key symptoms of PTSD that may drive the co-occurrence of PTSD among dyads. Recognizing these symptoms is imperative for the development of targeted interventions and treatments aimed at addressing comorbid PTSD in mother-adolescent dyads.

Identifying the Characteristics and Implications of Post-Earthquake Debris Flow Events Based on Multi-Source Remote Sensing Images

Strong earthquakes often bring amounts of loose material, disrupting the balance of material transportation within a watershed and severely impacting the restoration of the ecological environment and human safety downstream. Therefore, it is crucial to identify the frequency and scale of these debris flow events, as well as to explore their long-term development and impact on internal and external channels. Using multi-source remote sensing images from four perspectives, hillslope, channel, accumulation fan, and their relationship with the mainstream, we reconstructed a debris flow event dataset from 2008 to 2020, explored a method for identifying these events, and analyzed their impacts on channels and accumulation fans in Mozi Gully affected by the Wenchuan earthquake. Loose matter was predominantly found in areas proximate to the channel and at lower elevations during debris flow events. Alterations in channel width, accumulation fans downstream, and their potential to obstruct rivers proved to be vital for identifying the large scale of debris flow event. Finally, we encapsulated the evolution patterns and constraints of post-earthquake debris flows. Determination in frequency and scale could offer valuable supplementary data for scenario hypothesis parameters in post-earthquake disaster engineering prevention and control.

A fuzzy multi-objective programming model for the delivery and distribution of humanitarian relief materials

Disaster relief presents many unique logistics challenges, including damaged transportation infrastructure, multiple conflicting goals, and secondary disasters caused by spontaneous disaster relief. The delivery and distribution of humanitarian relief materials faced by nonprofit organizations (NPOs) poses a critical challenge due to the highly unpredictable nature of disasters, conflicting missions, and the need to navigate government regulations in disaster management. In this paper, we propose a novel multi-objective disaster relief modeling system for NPOs, considering (1) prioritization (providing medical services to seriously injured victims), (2) effectiveness (degree of satisfaction), (3) efficiency (operational costs), and (4) equity (cost of maintaining order). To incorporate the practical constraints of disaster relief operations, we include factors such as road damage, transportation capacity limitations, and route flow saturation as part of the model formulation. We then utilize fuzzy multi-objective programming to optimize the proposed disaster relief model, considering two relief distribution schemes: a common NPOs' spontaneous relief scheme and a newly designed traffic control scheme with government regulation. Based on the real-world scenario of the 2008 Wenchuan earthquake, we demonstrate that the designed traffic control scheme exhibited remarkable improvement among the NPOs' four objectives compared to the spontaneous relief scheme. Moreover, in the process of solving fuzzy multi-objective programming problems, artificial intelligence technology is employed to handle the fuzziness in multi-objective and automatically adjust parameters, making the solution results better and in line with practical situations. And we also validate the proposed model can be solved in polynomial time, meeting the engineering practice requirements, and can be easily extend to most disaster relief distribution scenarios.

Stress, Coping, and Mental Health Among Local Government Officials: A Longitudinal Study

This study investigated the mediating role of perceived stress in long-term development of posttraumatic stress symptoms (PTSS) and emotional distress among local government officials over seven years after the Wenchuan earthquake in China. Moreover, how dysfunctional coping would impact the relationship between perceived stress and PTSS or emotional distress was examined. Data were collected one year (T1) and seven years (T2) after the earthquake. Trauma experience, PTSS, and emotional distress were measured at one year. PTSS and emotional distress were re-assessed at seven years together with perceived stress and dysfunctional coping (i.e., behavioral disengagement, denial, self-distraction, self-blame, substance use, and venting). Mediation analyses were conducted to examine the mediating role of perceived stress. Moderated mediation analyses were performed to test the moderation effect of dysfunctional coping. Perceived stress fully mediated the association of T1 emotional distress with its’ T2 scores (indirect effect: B = 0.10, SE = 0.04, β = 0.11, 95% CI [0.02, 0.18]), while did not mediate the association of T1 PTSS with T2 PTSS (indirect effect: B = 0.04, SE = 0.03, β = 0.04, 95% CI [−0.02, 0.10]). Compared to a low frequency use of dysfunctional coping strategies (ps = 0.148–0.326), the detrimental effects of perceived stress on PTSS and emotional distress were stronger at higher levels of dysfunctional coping strategies (ps < 0.001). This study highlights the importance of paying attention to the adverse impacts of perceived stress and dysfunctional coping on long-term mental health outcomes among local government officials after disasters.

Material Activity in Debris Flow Watersheds Pre- and Post-Strong Earthquake: A Case Study from the Wenchuan Earthquake Epicenter

Material Activity in Debris Flow Watersheds Pre- and Post-Strong Earthquake: A Case Study from the Wenchuan Earthquake Epicenter

Relationship among residential satisfaction, social ties, place attachment and perceived disaster risk in the off-site reconstruction area—Evidence from an earthquake-stricken county in southwestern China

After a large-scale hazard, residents in the off-site reconstruction area need to reestablish their place attachments after facing devastating damage to both physical and psychological environments. Therefore, investigating the satisfaction of residents who migrate to a new environment is essential. An explorative research in new Beichuan was conducted with 416 responses in 2022, which was the only off-site reconstruction county in 2008 Wenchuan earthquake. This study aims to investigate residential satisfaction and social ties and explore the pathway of external environmental perception, place attachment, and perceived geological disaster risk by the structural equation model. Results revealed that residents in new Beichuan were generally satisfied with their residential environment, which was positively related to place attachment. Social ties positively predicted place attachment and negatively predicted perceived disaster risk. Place attachment mediated the relationship between residential satisfaction and perceived geological disaster risk, and the relationship between social ties and perceived disaster geological risk. Policymakers should carefully consider residents’ requirements and lifestyles during the reconstruction after geological disasters and create a livable environment and social space to help post-disaster migrants rebuild their place attachments.