[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2673":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},2673,"Flood Hazard Zone Mapping of Vashishti River Basin by Using Remote Sensing and GIS Techniques","https:\u002F\u002Fdoi.org\u002F10.9734\u002Fijecc\u002F2026\u002Fv16i95677","Floods are among the most destructive natural hazards in regions characterised by high and intense rainfall, frequently causing substantial loss of human life and considerable damage to agriculture, infrastructure, property, and the natural environment. The Vashishti River basin, situated within the ecologically sensitive Western Ghats, is particularly susceptible to recurrent and severe flooding owing to its distinctive hydro-meteorological and physiographic characteristics. The interaction of intense monsoonal rainfall, basin topography, drainage conditions, and increasing human intervention further contributes to the basin's flood susceptibility. In this context, flood hazard mapping provides an effective means of identifying areas with varying levels of exposure to flooding and can support the reduction of disaster risks associated with human settlements, agricultural activities, infrastructure development, and, in particular, expanding urban areas. Therefore, the present study aims to identify, delineate, and characterise flood hazard zones within the Vashishti River basin. The resulting spatial information is expected to provide a scientific basis for improved flood risk assessment, land-use planning, disaster preparedness, and the formulation of effective flood mitigation and management strategies. A total of ten flood-influencing factors, namely elevation, slope, drainage density, distance from the river, land use\u002Fland cover, rainfall, runoff derived using the SCS-CN method, geomorphology, lithology, and soil texture, were analysed in a Geographic Information System (GIS). Weights were assigned using the Analytic Hierarchy Process (AHP). With a consistency ratio (CR) of 0.06 for the correlation matrix, the flood hazard zone map indicates that 0.81% of the study area falls within a very low hazard zone, 13.49% within a low hazard zone, 47.90% within a moderate zone, 20.59% within a high flood hazard zone, and 17.20% within a very high flood hazard zone. Rainfall, elevation, and slope are the primary factors influencing flood risk. The AHP-based approach used in this study provides a practical framework for flood hazard mapping and may be applied to other regions for flood hazard management and mitigation.","洪水是降雨量大且强度高的地区最具破坏性的自然灾害之一，常造成重大人员伤亡以及对农业、基础设施、财产和自然环境的严重破坏。瓦希什蒂河流域位于生态敏感的西高止山脉地区，由于其独特的水文气象和地形特征，特别容易遭受反复且严重的洪水。强烈的季风降雨、流域地形、排水条件以及日益增加的人类干预相互作用，进一步加剧了该流域的洪水易发性。在此背景下，洪水灾害制图为识别不同洪水暴露程度区域提供了有效手段，并可支持降低与人类住区、农业活动、基础设施建设以及特别是不断扩张的城市区域相关的灾害风险。因此，本研究旨在识别、划定并表征瓦希什蒂河流域内的洪水灾害区。所生成的空间信息预期可为改进洪水风险评估、土地利用规划、灾害防备以及制定有效的洪水减缓与管理策略提供科学依据。研究在地理信息系统（GIS）中分析了十个洪水影响因子，即高程、坡度、河网密度、距河流距离、土地利用\u002F土地覆被、降雨、采用SCS-CN方法得出的径流、地貌、岩性和土壤质地。采用层次分析法（AHP）确定权重。相关矩阵的一致性比率（CR）为0.06，洪水灾害区图表明，研究区0.81%属于极低灾害区，13.49%属于低灾害区，47.90%属于中等灾害区，20.59%属于高洪水灾害区，17.20%属于极高洪水灾害区。降雨、高程和坡度是影响洪水风险的主要因素。本研究采用的基于AHP的方法为洪水灾害制图提供了实用框架，并可应用于其他地区的洪水灾害管理与减缓。",null,"International Journal of Environment and Climate Change","2026-09-15T00:00:00Z","论文",10,false,67,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,18,16,13,8,1,"基于遥感与GIS的流域洪水危险性制图研究，方法规范、数据翔实，对农业防灾减灾与土地利用规划有参考价值，但属区域性案例研究，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"遥感","农业防灾","GIS","流域治理","洪水风险",0,"10.9734\u002Fijecc\u002F2026\u002Fv16i95677",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":6,"card":47,"direction":51,"ingested_from":53},"W7213314416",[37,39,41,43,45],{"name":38,"orcid":9},"Bhagyalaxmi Kallihal",{"name":40,"orcid":9},"S. S. Nagarkar",{"name":42,"orcid":9},"B. L. Ayare",{"name":44,"orcid":9},"S.T. Patil",{"name":46,"orcid":9},"S. V. Deshmukh",{"tldr":48,"method":49,"finding":50,"direction":51,"opportunity":52},"用遥感与GIS结合AHP方法，对Vashishti河流域进行洪水灾害分区制图。","遥感与GIS空间分析，选取10个洪水影响因子，AHP赋权（CR=0.06）。","47.90%区域属中等危险区，17.20%为极高危险区；降雨、高程和坡度是主控因子。","农业遥感与作物表型","可结合作物分布与农情数据，将洪水危险分区延伸至农田尺度风险评估与减灾决策。","openalex","2026-09-16T23:30:30.712391Z"]