[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2306":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":18,"tags":20,"view_count":15,"doi":24,"paper":25,"created_at":50},2306,"Geospatial assessment of urban flood resilience in rapidly growing Abbottabad City, Pakistan","https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffenvs.2026.1922478","Urban flooding is one of the most recurrent and destructive natural hazards affecting rapidly urbanizing cities in developing countries. Pakistan faces a severe and growing urban flood challenge, yet spatially explicit, multi-dimensional resilience assessments remain scarce for fast-growing secondary cities. This study assessed urban flood resilience in Abbottabad City, Khyber Pakhtunkhwa, Pakistan, by quantifying flood hazard, exposure, susceptibility, and coping capacity through an integrated geospatial framework. The Urban Flood Resilience Model was applied, combining remote sensing data, GIS-based weighted overlay analysis, and the Analytical Hierarchy Process (AHP) to derive indicator weights and generate thematic component maps. Primary data on flood damages, economic capacity, institutional capacity, and educational level were collected through field surveys and questionnaires across flood-prone union councils. The final Urban Flood Resilience Index (UFRI) map showed marked regional variability. The northern and central parts of Abbottabad faced relatively high flood hazard, exposure, and susceptibility. Yet these areas showed high to very high resilience, because stronger infrastructure, institutional support, and coping ability offset the risk. By contrast, the eastern and south-eastern zones showed low to very low resilience. Weak coping capacity there worsened the effects of flood hazard and vulnerability. All AHP consistency ratios were within the acceptable threshold (Consistency Ratio \u003C 0.1), confirming internal consistency of the pairwise comparisons. This assessment quantified both physical and socioeconomic dimensions of flood resilience, and the resulting Urban Flood Resilience Index delineated priority intervention zones requiring targeted drainage infrastructure upgrades, institutional strengthening, and community preparedness programs. The findings provide spatially explicit evidence for disaster risk managers, urban planners, and policymakers in Abbottabad and comparable mountainous cities of South Asia.","城市洪涝是影响发展中国家快速城市化城市的最频繁且最具破坏性的自然灾害之一。巴基斯坦面临着严峻且不断加剧的城市洪涝挑战，然而针对快速增长的中小城市，空间显式的多维韧性评估仍然匮乏。本研究通过集成地理空间框架，量化洪涝危险性、暴露度、脆弱性和应对能力，评估了巴基斯坦开伯尔-普什图省阿伯塔巴德市的城市洪涝韧性。研究应用城市洪涝韧性模型，结合遥感数据、基于GIS的加权叠加分析和层次分析法（AHP）来推导指标权重并生成专题组分图。通过实地调查和问卷调查，在洪涝易发的联合委员会收集了洪涝损失、经济能力、机构能力和教育水平方面的原始数据。最终的城市洪涝韧性指数（UFRI）图显示出显著的区域差异。阿伯塔巴德北部和中部地区面临相对较高的洪涝危险性、暴露度和脆弱性。然而这些区域表现出高至极高的韧性，因为更强的基础设施、机构支持和应对能力抵消了风险。相比之下，东部和东南部区域表现出低至极低的韧性。这些地区薄弱的应对能力加剧了洪涝危险性和脆弱性的影响。所有AHP一致性比率均在可接受阈值范围内（一致性比率\u003C0.1），证实了成对比较的内部一致性。本评估量化了洪涝韧性的物理和社会经济两个维度，所得的城市洪涝韧性指数划定了需要针对性排水基础设施升级、机构强化和社区备灾项目的优先干预区域。研究结果为阿伯塔巴德及南亚类似山区城市的灾害风险管理者、城市规划者和政策制定者提供了空间显式的证据。",null,"Frontiers in Environmental Science","2026-09-10T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该研究聚焦巴基斯坦城市洪水韧性评估，属城市防灾与地理信息领域，与三农、农业信息化、智慧农业等主题无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23],"防灾减灾","遥感监测","城市内涝","10.3389\u002Ffenvs.2026.1922478",{"doi":24,"openalex_id":26,"authors":27,"venue":10,"cited_by_count":15,"oa_url":41,"card":42,"direction":48,"ingested_from":49},"W7212140700",[28,30,32,35,38],{"name":29,"orcid":9},"Areej Khan",{"name":31,"orcid":9},"Atta-Ur Rahman",{"name":33,"orcid":34},"Ghani Rahman","https:\u002F\u002Forcid.org\u002F0000-0002-5091-2337",{"name":36,"orcid":37},"Yazeed Alsubhi","https:\u002F\u002Forcid.org\u002F0000-0002-9875-6898",{"name":39,"orcid":40},"Hyun‐Han Kwon","https:\u002F\u002Forcid.org\u002F0000-0003-4465-2708","https:\u002F\u002Fwww.frontiersin.org\u002Fjournals\u002Fenvironmental-science\u002Farticles\u002F10.3389\u002Ffenvs.2026.1922478\u002Fpdf",{"tldr":43,"method":44,"finding":45,"direction":46,"opportunity":47},"用地理空间框架评估巴基斯坦阿伯塔巴德市城市洪水韧性并绘制韧性指数图。","遥感、GIS加权叠加与AHP，结合实地问卷获取社会经济数据。","北部中部风险高但韧性高，东部东南部韧性低，需优先干预。","农业遥感与作物表型","可延伸至农业区洪水韧性评估，融合遥感与农户调查，服务乡村防灾规划。","智慧农业 \u002F 农业物联网","openalex","2026-09-13T23:30:11.071017Z"]