Issue |
E3S Web Conf.
Volume 605, 2025
The 9th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2024)
|
|
---|---|---|
Article Number | 03035 | |
Number of page(s) | 7 | |
Section | Environment | |
DOI | https://doi.org/10.1051/e3sconf/202560503035 | |
Published online | 17 January 2025 |
Multi-hazard systems approach to overcome multi-hazard disaster in the northern coastal region of central jawa province
1 Graduate School of Environmental Science, Diponegoro University, Indonesia
2 Department of Urban and Regional Planning, Diponegoro University, Indonesia
* Corresponding authors: alimukti890@gmail.com
Central Java Province is a region that has a high level of multiple disaster hazards. There are 21 types of natural disasters in the high category, such as floods, flash floods, extreme weather, extreme waves and abrasion, earthquakes, drought, several volcanic eruptions, liquefaction, tsunamis and landslides. A multi-system approach (through various adaptation & mitigation patterns based on multi-social-ecological systems) can increase community resilience. This research examine a multi-hazard system approach in increasing the resilience of coastal communities in the North Coast of Central Jawa (City of Pekalongan & Semarang). The research approach was carried out using a quantitative methods (scoring methods). Our study provides that structural mitigation (building sea dams and pumping programs), and adaptation (raising the height of house buildings & collaboration) was able to reduce the risk and increase community resilience to multi-disasters, especially floods, flash floods, tidal floods, and abrasion in Semarang and Pekalongan City. Our research suggests that it is important for policymakers to undertake structural mitigation through physical development of infrastructure and use of technology to reduce risk and increase community resilience. For communities, it is necessary to adapt by developing more disaster-resistant housing buildings.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.