Connecting to the disaster risk reduction (DRR) studies, community-based initiatives are found to be more effective in both developed and developing countries, with a specific focus on the empowerment of local communi...Connecting to the disaster risk reduction (DRR) studies, community-based initiatives are found to be more effective in both developed and developing countries, with a specific focus on the empowerment of local communities to build resilience. Building on social capital theory, the paper investigates on local knowledge (LK) practices experienced by the actors in an emerging economy using the community-based flood risk management (CB-FRM) approach. The qualitative research method was used by collecting data from focused group discussions, and interviews with the key informants including actors from local governments and non-government organizations. Additionally, informal discussions, field visits, and desk studies were undertaken to support the findings. The findings reveal that the local communities carry out various local knowledge experiences to respond during disaster management phases. They own a creative set of approaches based on the LK and that empowers them to live in the flood-prone areas, accepting the paradigm shift from fighting with floods to living with that. The local actor’s involvement is recognized as an essential component for CB-FRM activities. Yet, their program’s implementation is more oriented towards humanitarian assistance in emergency responses. Even, they often overlook the role of LK. Additionally, the results show a high level of presence of local communities during the preparedness and recovery phases, while NGOs and local governments have a medium role in preparedness and low in recovery phase. The lack of local ownership has also emerged as the major challenge. The research provides valuable insights for integrated CB-FRM policies by adopting to LK practices.展开更多
给出一种用于未知环境中混杂传感器网络交互策略,设计并实现一种两层网络结构平台。结合最小二乘法和改进泛洪理论实现混杂传感器网络中动态节点的定位与导航。通过无线接收信号强度(received signal strength indicator)来估计发送端...给出一种用于未知环境中混杂传感器网络交互策略,设计并实现一种两层网络结构平台。结合最小二乘法和改进泛洪理论实现混杂传感器网络中动态节点的定位与导航。通过无线接收信号强度(received signal strength indicator)来估计发送端与接收端的距离,并作为阈值应用于视频通信链路维护中。实验分析了真实环境中RSSI的有效性,并在该结构平台上实现了路径查找和视频通信链路维护,结果表明该方法可以有效应用于混杂传感器网络动静节点协同工作。展开更多
文摘Connecting to the disaster risk reduction (DRR) studies, community-based initiatives are found to be more effective in both developed and developing countries, with a specific focus on the empowerment of local communities to build resilience. Building on social capital theory, the paper investigates on local knowledge (LK) practices experienced by the actors in an emerging economy using the community-based flood risk management (CB-FRM) approach. The qualitative research method was used by collecting data from focused group discussions, and interviews with the key informants including actors from local governments and non-government organizations. Additionally, informal discussions, field visits, and desk studies were undertaken to support the findings. The findings reveal that the local communities carry out various local knowledge experiences to respond during disaster management phases. They own a creative set of approaches based on the LK and that empowers them to live in the flood-prone areas, accepting the paradigm shift from fighting with floods to living with that. The local actor’s involvement is recognized as an essential component for CB-FRM activities. Yet, their program’s implementation is more oriented towards humanitarian assistance in emergency responses. Even, they often overlook the role of LK. Additionally, the results show a high level of presence of local communities during the preparedness and recovery phases, while NGOs and local governments have a medium role in preparedness and low in recovery phase. The lack of local ownership has also emerged as the major challenge. The research provides valuable insights for integrated CB-FRM policies by adopting to LK practices.
文摘给出一种用于未知环境中混杂传感器网络交互策略,设计并实现一种两层网络结构平台。结合最小二乘法和改进泛洪理论实现混杂传感器网络中动态节点的定位与导航。通过无线接收信号强度(received signal strength indicator)来估计发送端与接收端的距离,并作为阈值应用于视频通信链路维护中。实验分析了真实环境中RSSI的有效性,并在该结构平台上实现了路径查找和视频通信链路维护,结果表明该方法可以有效应用于混杂传感器网络动静节点协同工作。
