日本地球惑星科学連合2018年大会

講演情報

[EE] Eveningポスター発表

セッション記号 H (地球人間圏科学) » H-DS 防災地球科学

[H-DS06] Advanced remote sensing toward Mega-Disaster Response

2018年5月21日(月) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:栄珠 郭(水災害リスクマネジメント国際センター)、竹内 渉(東京大学生産技術研究所)、Biswajet Pradhan

[HDS06-P02] Bangladesh flood map using GIS and remote sensing

★Invited Papers

*村岡 和満1栄珠 郭2 (1.山口大学大学院創成科学研究科、2.水災害リスクマネジメント国際センター)

キーワード:バングラデシュ、統合的洪水管理、洪水対策、リスク情報

After the development of a flood action plan (FAP) in 1988, the Bangladesh government has led practical actions for nationwide flood management. However, Bangladesh is on its way to improve the capacity and knowledge of sustainable infrastructure and non-structural countermeasures. Local government and communities are also struggling to mitigate flood risk and severe damage. Therefore, a government-driven strategy of capacity building on sustainable flood risk management is an inevitable process to support local authorities’ responsibility under the leadership. This pilot study introduced the GIS-based integrated flood management (GiFM) for improving nationwide flood risk management at different levels from communities. First, we proposed the conceptual framework of GiFM to strengthen local government-based capacity focusing on a cost-effective way under the FAP. Then the proposed GiFM employed hydro-GIS geo-database and Earth Observation (EO) data for sharing information on the current flood risk situation including flood monitoring, forecasting and river embankment erosion in transboundary river basins. For flood risk reduction, the prototype of GiFM showed a good example of consultation and action plan to realize high-priority demands at all levels of multi-stakeholders, from decision makers to residents who are living in vulnerable low-lying floodplains of Bangladesh.

Ideas and lessons learned from the study implementation are listed below:

(1) According to the results of the inventory survey with GIS mapping, most embankment failures along the Manu River concentrate in the outer bends of the river.

(2) GIS-based maps with MODIS-detected flood analysis can show the conditions of embankment failure and help understand the relationship between the critical points and inundation areas.

(3) GiFM will be able to improve the prototype of a flood hazard map and contribute to community-based disaster risk reduction and sustainable water related infrastructure management as non-structural measure. In particular, it will be very useful for undetected flood areas in developing countries like Bangladesh.