[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2529":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":23,"tags":25,"view_count":31,"doi":32,"paper":33,"created_at":46},2529,"Flood Risk Assessment and Environmental Change Analysis Using GIS and Remote Sensing","https:\u002F\u002Fdoi.org\u002F10.34248\u002Fbsengineering.1994338","Floods can be very destructive natural hazard; it causes significant environmental, social, and economic impacts. Havza is a district in Northern part of Türkiye, experienced major flood events in May 1998 and May 2026, which emphasize the need of identify flood-prone areas and analyze the factors that influence flood vulnerability. The aim of this study is to asses flood risk and analyzes land use\u002Fland cover (LULC) monitoring derived from remote sensing data in Havza. Furthermore, topographic characteristics were also obtained from Shuttle Radar Topography Mission (SRTM) and Digital Elevation Model (DEM) using Geographic Information Systems (GIS). Hydrological analyses include slope and flow accumulation models, and these analyses were used to identify susceptible areas. It has been observed that the mean NDVI value increased from 0.4239 in 1998 to 0.7447 in 2026, indicating a substantial increase in vegetation cover. LULC classification results also showed that urban areas increased from 16% to 20% while agricultural land decreased 54% to 50% in approximately last 3 decades. 3-Dimensional (3D) terrain visualization and river corridor-based flood risk mapping revealed that low elevation valley floors and settlements located very near to stream channels, which is the most vulnerable areas of floods. The findings of this study demonstrate the effectiveness of integration of GIS and remote sensing, topographic analysis, and LULC change detection within a single framework for flood risk assessment and sustainable land management. The results provide valuable support for disaster risk reduction, urban planning, and future development strategies in Havza and similar watershed environments.","洪水是一种极具破坏性的自然灾害，会对环境、社会和经济造成显著影响。哈夫扎（Havza）是土耳其北部的一个区，1998年5月和2026年5月经历了重大洪水事件，这凸显了识别洪水易发区域并分析影响洪水脆弱性因素的必要性。本研究旨在评估哈夫扎的洪水风险，并分析基于遥感数据获得的土地利用\u002F土地覆盖（LULC）监测结果。此外，还利用地理信息系统（GIS）从航天飞机雷达地形测绘任务（SRTM）和数字高程模型（DEM）中获取了地形特征。水文分析包括坡度和汇流累积模型，这些分析用于识别易受洪水影响的区域。研究发现，NDVI均值从1998年的0.4239上升至2026年的0.7447，表明植被覆盖显著增加。LULC分类结果还显示，在近三十年间，城市面积从16%增加至20%，而农业用地从54%减少至50%。三维（3D）地形可视化和基于河流廊道的洪水风险制图表明，低海拔河谷底部和紧邻河道的居民点是洪水最脆弱的区域。本研究结果表明，将GIS与遥感、地形分析以及LULC变化检测整合于同一框架内，对于洪水风险评估和可持续土地管理具有有效性。研究结果为哈夫扎及类似流域环境的减灾、城市规划和未来发展战略提供了有价值的支持。",null,"Black Sea Journal of Engineering and Science","2026-09-14T00:00:00Z","论文",10,false,61,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":17,"relevant":21,"comment":22},8,18,15,12,1,"以GIS与遥感融合评估土耳其流域洪水风险与土地利用变化，方法框架对农业防灾与乡村空间规划有参考价值，但属区域案例研究，公共影响有限。",[24],{"name":10,"url":6},[26,27,28,29,30],"防灾减灾","遥感","洪水风险评估","GIS","土地利用变化",0,"10.34248\u002Fbsengineering.1994338",{"doi":32,"openalex_id":34,"authors":35,"venue":10,"cited_by_count":31,"oa_url":6,"card":39,"direction":43,"ingested_from":45},"W7212642487",[36],{"name":37,"orcid":38},"Sibel Canaz","https:\u002F\u002Forcid.org\u002F0000-0001-5552-6067",{"tldr":40,"method":41,"finding":42,"direction":43,"opportunity":44},"结合GIS与遥感评估土耳其Havza地区洪水风险，并分析近30年土地利用与植被变化。","使用SRTM\u002FDEM地形分析、坡度与汇流模型、NDVI及LULC分类。","低海拔河谷与近河道居民点最易受灾；城区扩张、农地减少、植被覆盖显著增加。","农业遥感与作物表型","可引入时序遥感与机器学习，构建流域尺度洪水风险动态预警与土地利用协同优化模型。","openalex","2026-09-15T23:30:20.567355Z"]