[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2175":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":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":54},2175,"Human-induced land use change and population pressure as drivers of landslide occurrence during Cyclone Ditwah in Sri Lanka","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rineng.2026.112851","Landslides are primarily triggered by earthquakes and extreme rainfall events, although anthropogenic factors such as vegetation change, deforestation, and unplanned land development can amplify their occurrence and severity. Landslides are catastrophic disasters that lead to fatalities, infrastructure damage, and economic disruption. Sri Lanka recently experienced the impact of Cyclone Ditwah in November 2025; the disaster resulted in 643 confirmed deaths, with 183 individuals missing. More than 6000 houses were completely destroyed, and nearly 114,000 sustained damage. However, it was observed that population density and land use and land cover (LULC) changes have some relationship to this damage. With the advancement of remote sensing technology, multispectral images were analyzed to assess how LULC affected natural disasters, alongside 2024 census data. The results of this study demonstrate that built-up and crop land areas have increased, while vegetation cover has decreased from 2017 to 2024. Furthermore, the findings indicate that landslide occurrence is associated with anthropogenic activities, such as urbanization and crop land development near the slope, which may contributed to reduced slope stability. The landslide-prone areas are located near hilly slopes with gradients greater than 30°. The Ududumbara–Minipe and Rideegama–Lunugala case studies demonstrate that landslides occurred more frequently on destabilized gentle slopes than on undisturbed steep slopes in these specific case-study areas, a pattern likely reflecting local anthropogenic disturbance rather than a general slope-stability principle. These findings highlight the importance of measuring and tailoring land-use policies related to urbanization, crop land, and settlement development in mountain regions to mitigate landslide risk.","滑坡主要由地震和极端降雨事件触发，尽管植被变化、森林砍伐和无序土地开发等人为因素会加剧其发生频率和严重程度。滑坡是导致人员伤亡、基础设施破坏和经济损失的重大灾害。斯里兰卡于2025年11月遭遇了气旋迪特瓦（Cyclone Ditwah）的冲击；该灾害造成643人确认死亡，183人失踪。超过6000栋房屋完全损毁，近114000栋房屋受损。然而，观测发现人口密度与土地利用和土地覆盖（LULC）变化与此次损害存在一定关联。随着遥感技术的进步，本研究利用多光谱影像分析了LULC如何影响自然灾害，并结合2024年人口普查数据。研究结果表明，2017年至2024年间，建成区和农田面积有所增加，而植被覆盖有所减少。此外，研究结果显示滑坡的发生与人为活动有关，如坡体附近的城市化和农田开发，这些活动可能降低了边坡稳定性。滑坡易发区位于坡度大于30°的丘陵斜坡附近。Ududumbara–Minipe和Rideegama–Lunugala案例研究表明，在这些特定研究区域内，滑坡在失稳的缓坡上比在未受扰动的陡坡上发生更为频繁，这一模式可能反映的是局部人为扰动，而非普遍的边坡稳定性规律。这些发现凸显了衡量并制定与山区城市化、农田和聚落开发相关的土地利用政策的必要性，以降低滑坡风险。",null,"Results in Engineering","2026-09-08T00:00:00Z","论文",10,false,76,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},16,21,18,13,8,1,"基于多光谱遥感与人口普查数据揭示斯里兰卡气旋滑坡的人为驱动机制，对山地乡村土地规划与灾害风险治理有参考价值，但属境外案例、非农业信息化核心议题。",[25],{"name":10,"url":6},[27,28,29,30,31],"气候变化","遥感监测","土地利用","滑坡灾害","乡村规划",0,"10.1016\u002Fj.rineng.2026.112851",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":46,"card":47,"direction":51,"ingested_from":53},"W7211923709",[37,40,43],{"name":38,"orcid":39},"Janith De Silva","https:\u002F\u002Forcid.org\u002F0009-0002-5124-1018",{"name":41,"orcid":42},"Shanika Arachchi","https:\u002F\u002Forcid.org\u002F0000-0002-3128-1947",{"name":44,"orcid":45},"Upaka Rathnayake","https:\u002F\u002Forcid.org\u002F0000-0002-7341-9078","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS259012302603865X\u002Fpdf",{"tldr":48,"method":49,"finding":50,"direction":51,"opportunity":52},"分析斯里兰卡气旋Ditwah期间土地利用变化与人口压力对滑坡发生的影响。","多光谱遥感影像与2024年人口普查数据，分析2017-2024年LULC变化。","建设用地和耕地增加、植被减少，人类活动降低边坡稳定性，加剧滑坡风险。","农业遥感与作物表型","可结合多时相遥感与人口数据，构建山区土地利用变化驱动的滑坡风险预警模型。","openalex","2026-09-11T23:30:33.053909Z"]