Forecast of Land Cover Change as a Sustainable Flood Prevention Strategy using Cellular Automata Model in Lampoko Watershed, South Sulawesi, Indonesia

Q4 Engineering Disaster Advances Pub Date : 2024-01-31 DOI:10.25303/173da016024
Cahyadi Nugroho, Ramli Umar, Mithen
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Abstract

The Lampoko watershed is the biggest watershed in South Sulawesi's Barru Regency. Flooding is a common occurrence in this area, particularly tidal flooding. To get around this, this research uses a geographic information system to estimate land cover and reveal how an organization will grow in the future. This forecast is meant to help plan preventive measures in organizational regions where flooding is anticipated. The CA-Markov model was used to analyze satellite imagery data (Landsat 8 OLI TIRS Year 2015-2021). The findings revealed an increasing pattern of land cover change in several land cover classes that were hubs of communal activity including villages, fisheries (ponds) and agricultural (rice fields). Balusu, Lampoko and Ajakkang are areas that need to be prepared for since they are part of regions with a high likelihood of flooding in the future.
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利用细胞自动机模型预测印度尼西亚南苏拉威西岛 Lampoko 流域的土地覆被变化,以此作为可持续防洪战略
Lampoko 流域是南苏拉威西省 Barru 地区最大的流域。该地区经常发生洪水,尤其是潮汐洪水。为了解决这一问题,本研究利用地理信息系统估算土地覆盖情况,并揭示一个组织未来的发展情况。这种预测旨在帮助在预计会发生洪水的组织区域规划预防措施。CA-Markov 模型用于分析卫星图像数据(Landsat 8 OLI TIRS,2015-2021 年)。研究结果表明,在包括村庄、渔业(池塘)和农业(稻田)等社区活动中心在内的几个土地覆被等级中,土地覆被的变化呈上升趋势。Balusu、Lampoko 和 Ajakkang 属于未来极有可能发生洪水的地区,因此需要做好准备。
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
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