Huan Liu

Exploring the factors that drive the change of ecosystem services (ES) is very important for maintaining ES function and zoning ecological management, especially in the Sichuan Basin area with high spatial heterogeneity such as natural and socio-economic characteristics. Taking the Sichuan Basin in China as an example, the PCA-MGWR model was constructed to explore the temporal and spatial patterns of ES in the Sichuan Basin from 2000 to 2015. The potential driving factors including anthropogenic

Recent studies have discussed lifeline resilience factors for industrial sectors. However, these results are derived from business surveys on hypothetical disasters or estimations based on expert opinions: this is mainly due to a lack of data from businesses that actually experienced lifeline disruptions after a disaster. Therefore, this study proposes a modeling framework to estimate the remaining proportions of production capacity after lifeline disruptions due to a disaster, called lifeline r

A clear understanding of the spatiotemporal evolution and driving factors of ecosystem service value (ESV) and the landscape ecological risk index (ERI) can effectively link human well-being and ecosystem security, which is essential for sustainable ecosystem management. Based on multitemporal land use data (1990, 2000, 2010, and 2018), the spatiotemporal evolution of ESV and the ERI in the Ulan Buh Desert was evaluated. The driving forces of ESV and the ERI were quantitatively evaluated by the

• Clarify the definition and types of societal impact of infrastructure disruptions. • Summarize the ideas, pros, and cons of four societal impact modeling approaches. • The four modeling approaches are cross-compared to facilitate their application. • Future research directions are illustrated from perspectives of the impact measurement, model integration , cross validation , and decision tools. Infrastructure systems play a critical role in providing essential products and services for the fun

The estimation of regional Production Capacity Loss Rate (PCLR) in industrial sectors after disasters is critical for disaster mitigation, resource allocation and restoration. Recent studies to estimate the PCLR in industrial sectors were based on hypothetical disaster survey data for resistance analysis and the linear regression model for recovery analysis, which may cause non-negligible bias. Moreover, these models did not incorporate the impact of lifeline disruption and restoration, thus fur

The short-term load forecasting of electric system is one of pivotal aspects for safety and economy operation of the power system. Accurate short-term load forecasting is advantageous to enhance the secure and economic effect of power system and ameliorate the supply quality. Thus, it is important to find an effective method to improve the short-term forecast precision effectively. In this paper, association rule analysis is proposed to analyze the relevance of power load and its influencing fac

Since the earthquake disaster frequently occurred in China,it is necessary to do some research on the risk analysis of earthquake.The paper first analyzed major factors of earthquake disaster,then established earthquake disaster risk assessment model based on the data of earthquake disasters between 1900 and 2009,and determined the value of three factors quantitatively.Finally,through using the spatial analyst function of ArcMap system,this paper analyzed the risk of population in earthquake dis

Autism spectrum disorder (ASD) presents a wide range of cognitive and language impairments. In this study, we investigated the genetic basis of non-verbal status in ASD using a comprehensive genomic approach. We identified a novel common variant, rs1944180 in CNTN5, significantly associated with non-verbal status through family-based Transmission Disequilibrium Testing. Polygenic risk score (PRS) analysis further showed that higher ASD PRS was significantly linked to non-verbal status (p = 0.034