While multi-stakeholder collaboration is critical for effective community post-disaster reconstruction (CPDR), it is often very difficult in practice. The Longmen Shan Fault active seismic zone in China has experienced several recent earthquakes with the 2008 Wenchuan earthquake and 2013 Lushan earthquake, both of which caused extensive and widespread damage to many communities, presenting unprecedented challenges for post-disaster reconstruction. This paper develops a multi-cycle field research method that involves three interconnected cycles: internet research, field visits, and extensive surveys: to examine multi-stakeholder collaboration for the CPDR following the Wenchuan earthquake. It was found that there were 12 types of active stakeholders engaged across four main areas: infrastructure rebuilding, psychological recovery, socio-economic rehabilitation, and ecological restoration. Specifically, local community participation and effective collaboration between the community and the external stakeholders were found to be the most crucial elements for successful reconstruction. Multi-stage field research after the Lushan earthquake verified that CPDR was effective and that multi-stakeholder collaboration had improved from the lessons learnt from the Wenchuan earthquake reconstruction experience. Some advantages and limitations of this research are also given. 相似文献
Identifying source information after river chemical spill occurrences is critical for emergency responses. However, the inverse uncertainty characteristics of this kind of pollution source inversion problem have not yet been clearly elucidated. To fill this gap, stochastic analysis approaches, including a regional sensitivity analysis method, identifiability plot and perturbation methods, were employed to conduct an empirical investigation on generic inverse uncertainty characteristics under a well-accepted uncertainty analysis framework. Case studies based on field tracer experiments and synthetic numerical tracer experiments revealed several new rules. For example, the release load can be most easily inverted, and the source location is responsible for the largest uncertainty among the source parameters. The diffusion and convection processes are more sensitive than the dilution and pollutant attenuation processes to the optimization of objective functions in terms of structural uncertainty. The differences among the different objective functions are smaller for instantaneous release than for continuous release cases. Small monitoring errors affect the inversion results only slightly, which can be ignored in practice. Interestingly, the estimated values of the release location and time negatively deviate from the real values, and the extent is positively correlated with the relative size of the mixing zone to the objective river reach. These new findings improve decision making in emergency responses to sudden water pollution and guide the monitoring network design.
