Disaster can be understood as the probability or threat of quantifiable damage, injury, liability, loss, or any other negative occurrence that is caused by external or internal vulnerabilities that required an immediate action. Therefore, this study intends to understand respondents’ preferences of location when disaster strikes their settlements/ villages. Their responses are important to indicate their preparedness when facing disaster. Data collection was employed using the questionnaire survey method to the 11 villages. The selection of population was based on a cluster random sampling to ensure equal probability chances weregiven to every individual in every village. A total of 847 responses were able to be used for data analysis. The results show that the respondents’ knowledge on safe location was influenced by their demographic background. In addition, their experience with disasters and residential area also influenced their area of preference to seek refuge in the event of a disaster. Thus, an active promotion of such information related to risk management and reduction should be varied to cater the unique characteristics of the population.

Disaster can be understood as the probability or threat of quantifiable damage, injury, liability, loss, or any other negative occurrence that is caused by external or internal vulnerabilities that required an immediate action. Therefore, this study intends to understand respondents’ preferences of location when disaster strikes their settlements/ villages. Their responses are important to indicate their preparedness when facing disaster. Data collection was employed using the questionnaire survey method to the 11 villages. The selection of population was based on a cluster random sampling to ensure equal probability chances weregiven to every individual in every village. A total of 847 responses were able to be used for data analysis. The results show that the respondents’ knowledge on safe location was influenced by their demographic background. In addition, their experience with disasters and residential area also influenced their area of preference to seek refuge in the event of a disaster. Thus, an active promotion of such information related to risk management and reduction should be varied to cater the unique characteristics of the population.

Kenyir Lake’s natural environment experienced significant changes over the past 20 years. Pressure from anthropogenic activities such as deforestation, construction, and sand mining around Sungai Terengganu, tourism, farming and agricultural has creating imbalance between environmental processes and response in Kenyir Lake. The aim of the study is to estimate the production of sediment yield (Muatan Sedimen) (MS) (tonnes/km2/year) in Kenyir Lake Basin. 21 sampling stations were chosen along Kenyir Lake to represent the upstream and downstream. The statistical analysis proved that the correlation and regression relationship between Total Suspended Solid (TSS), MS and area of catchment. MS showed a weak correlation and insignificant relationship of regression caused by the anthropogenic factors and uncertain climate changes. These sedimentation problems due to unsustainable land use changes, river bank erosion problems and active construction activity around the Kenyir Lake Basin. This study suggests the sedimentation management methods including land use settlement, cliff erosion problems, settlement and negotiable of uncontrolled development operations in Kenyir Lake and the integrated of river and lake management methods based on Integrated River Basin Management (IRBM) in Kenyir Lake Basin is recommended.

In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such as floods, landslides and storms with the aim to reduce the vulnerability and disaster risks that signifies the effectiveness of EWS in the realisation of affected community. To test the awareness and preparedness of community in the selected area, a questionnaire survey was employed as the data collection method. The questionnaire survey was conducted before the direct engagement on the EWS information with the community. Using the mixed sampling method of cluster random sampling, a total of 800 respondents from 11 villages, and 5 main ethnicity groups were involved in the survey. From the result, there was a positive relationship showing that respondents who claimed they knew about the EWS from information signage were those from the older age category and earninghigher monthly income. On the other hand, there is a negative relationship between respondents’ age and monthly income against other sources that indicates respondents who claimed they knew about the EWS from other sources were those in the younger age category and have low monthly income.

In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such as floods, landslides and storms with the aim to reduce the vulnerability and disaster risks that signifies the effectiveness of EWS in the realisation of affected community. To test the awareness and preparedness of community in the selected area, a questionnaire survey was employed as the data collection method. The questionnaire survey was conducted before the direct engagement on the EWS information with the community. Using the mixed sampling method of cluster random sampling, a total of 800 respondents from 11 villages, and 5 main ethnicity groups were involved in the survey. From the result, there was a positive relationship showing that respondents who claimed they knew about the EWS from information signage were those from the older age category and earninghigher monthly income. On the other hand, there is a negative relationship between respondents’ age and monthly income against other sources that indicates respondents who claimed they knew about the EWS from other sources were those in the younger age category and have low monthly income.