基于GIS、远程Sensing和Cloud的全方位分析洪水管理和罗伯在三宝垄

Muhammad Iqbal Maulana, Muhammad Ilham Maulana
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摘要

摘要洪水和潮汐洪水每年都是三宝垄市讨论的话题,因为没有制定适当的缓解办法。从2022年1月到2023年5月,大部分洪水和抢劫事件发生在平坦和倾斜的地区。这场灾难给人类生活带来了物质、身体、经济和心理上的损失。为了消除或尽量减少洪水和抢劫的不利影响,迫切需要创新来提高抗洪能力。洪水恢复力分析采用GIS优化、遥感和云平台支持的空间方法。然后使用模型生成器来加快和简化分析过程。分析结果表明,人口密度高的平坦缓坡地区洪水敏感性最高;建筑。与此同时,在靠近卫生设施、道路可达、经济活动丰富的地区,能力水平较高。此外,该地区93.37%的抗洪能力仍被划分为中低等级。对于人口和建筑密集的地区,如Pedurungan区、Ngaliyan区、北三宝垄区、西三宝垄区和Genuk区,这一点尤其值得关注。因此,通过区域复原力绘图,可以在包容性灾害管理的支持下,成为地方政府决策的基础。
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Analisis Optimalisasi Ketahanan Daerah Berbasis GIS, Remote Sensing dan Cloud untuk Manajemen Banjir dan Rob di Kota Semarang
Abstract. Floods and tidal floods are a topic of discussion every year in the city of Semarang because no proper solution has been created for mitigation. From January 2022-May 2023, most of the flood and rob events are located in flat and sloping areas. The disaster had an impact on human life, such as material, physical, economic, and psychological losses. Importance of innovation to create flood resilience is urgently needed to eliminate or minimize the adverse effects of floods and rob. Flood resilience analysis uses a spatial approach supported by GIS optimization, Remote Sensing, and the Cloud platform. Then the model builder is used to speed up and simplify the analysis process. The results of the analysis show that the highest level of flood sensitivity is in flat and gently sloping areas with high population density & buildings. Meanwhile, high capacity levels are in areas close to health facilities, have road accessibility, and have lots of economic activity. In addition, 93.37% of the area's resistance to flooding is still classified as low and medium. This should be of particular concern for areas with dense populations and buildings, such as Pedurungan District, Ngaliyan District, North Semarang District, West Semarang District, and Genuk District. Thus, through regional resilience mapping, it can become a basis for decision-making for local governments with the support of inclusive disaster management.
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