[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2310":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":39},2310,"Geospatial Analysis of Topographic and Hydrological Controls on Flood Susceptibility","https:\u002F\u002Fdoi.org\u002F10.56201\u002Fijgem.vol.12.no3.2026.pg279.299","This study evaluates the influence of topographic and hydrological factors on flood susceptibility in the South–South region of Nigeria using Geographic Information Systems (GIS), Remote Sensing, and the Analytical Hierarchy Process (AHP). Digital Elevation Model (DEM), slope, aspect, drainage density, stream density, flow direction, and distance from river variables were analysed to determine their contribution to flooding. The results show that elevation ranges from approximately 13 m in low-lying coastal areas (Delta, Rivers, Bayelsa, and Akwa Ibom States) to about 256 m in elevated inland areas (Cross River and parts of Edo State). Slope analysis indicates that coastal areas are dominated by very gentle slopes (0°–3.37°), which promote water accumulation and increase flood susceptibility. Aspect results further reveal that much of the coastal region is predominantly flat (−1), limiting directional flow and enhancing water stagnation. Hydrological analysis shows that drainage density is mainly very low to moderate (0 89.89 km\u002Fkm²), indicating high infiltration but increased water retention, while localized high values (89.9–134.8 km\u002Fkm²) enhance runoff. Stream density is highest (228.1–811 km\u002Fkm²) in Delta, Bayelsa, and Rivers States, whereas lower values occur in Edo and Cross River. Flow direction exhibits a dominant east–west pattern, with accumulation values ranging from 1–16, indicating runoff convergence. Distance-to-river analysis shows that large areas lie within 0 1,000 m of river channels. Flood susceptibility is highest in coastal zones and lowest in inland elevated areas. The study demonstrates that terrain morphology and hydrological network characteristics are key determinants of flooding in the region and highlights the effectiveness of geospatial techniques in flood susceptibility assessment and management in the South–South region of Nigeria","本研究利用地理信息系统（GIS）、遥感技术和层次分析法（AHP），评估了地形与水文因素对尼日利亚南南地区洪水易发性的影响。通过分析数字高程模型（DEM）、坡度、坡向、河网密度、河流密度、流向及距河流距离等变量，确定其对洪水的贡献。结果表明，高程从沿海低洼地区（三角洲州、河流州、巴耶尔萨州和阿夸伊博姆州）约13 m，到内陆高地区域（克罗斯河州及埃多州部分地区）约256 m不等。坡度分析表明，沿海地区以极缓坡（0°–3.37°）为主，有利于水分积聚并增加洪水易发性。坡向结果进一步显示，沿海大部分区域以平坦（−1）为主，限制了定向径流并加剧了水分滞留。水文分析表明，河网密度主要为极低至中等（0–89.89 km\u002Fkm²），表明入渗率高但持水量增加，而局部高值（89.9–134.8 km\u002Fkm²）则增强径流。河流密度在三角洲州、巴耶尔萨州和河流州最高（228.1–811 km\u002Fkm²），而在埃多州和克罗斯河州较低。流向呈现主导性的东西向格局，汇流累积值在1–16之间，表明径流汇聚。距河流距离分析显示，大片区域位于河道0–1,000 m范围内。洪水易发性在沿海地带最高，在内陆高地区域最低。研究表明，地形形态和水文网络特征是该地区洪水的关键决定因素，并凸显了地理空间技术在尼日利亚南南地区洪水易发性评估与管理中的有效性。",null,"IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT","2026-09-10T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"该研究聚焦尼日利亚洪水易发性评估，属地理环境领域，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],"遥感","GIS","洪水风险","10.56201\u002Fijgem.vol.12.no3.2026.pg279.299",{"doi":24,"openalex_id":26,"authors":27,"venue":10,"cited_by_count":15,"oa_url":30,"card":31,"direction":37,"ingested_from":38},"W7212169235",[28],{"name":29,"orcid":9},"Anthony Chikaike Nwinye-Harrison","https:\u002F\u002Fiiardjournals.org\u002Fget\u002FIJGEM\u002FVOL. 12 NO. 3 2026\u002FGEOSPATIAL ANALYSIS OF TOPOGRAPHIC 279-299.pdf",{"tldr":32,"method":33,"finding":34,"direction":35,"opportunity":36},"用GIS、遥感和AHP评估尼日利亚南部地形与水文因子对洪水易发性的影响。","GIS、遥感、AHP，基于DEM、坡度、坡向、河网密度等因子分析。","沿海低平区洪水易发性最高，内陆高地区最低，地形与水文网络是关键决定因素。","农业遥感与作物表型","可结合实时降雨与土地利用变化，构建动态洪水易发性模型并服务农业风险管理。","智慧农业 \u002F 农业物联网","openalex","2026-09-13T23:30:12.636598Z"]