[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2326":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":60},2326,"Drone-based leak detection and real-time monitoring of urban water in Harare, Zimbabwe","https:\u002F\u002Fdoi.org\u002F10.2166\u002Fwashdev.2026.227","ABSTRACT Increasing water scarcity resulting from inefficient urban water distribution systems across many African cities threatens the attainment of the Sustainable Development Goals. This is concerning given additional pressures on water resources such as climate change, pollution, increased demand from population growth and agriculture. Thus, there is a need to develop efficient, rapid and repeatable methods for tracking both urban water distribution and water use. This study applied drone-based thermal infra-red imaging for real-time leak detection and monitoring of Harare's aging water network by characterizing water distribution infrastructure with emphasis on spatial variations in pipe material and age. Very high-resolution thermal imagery was acquired using a DJI Mavic 3T drone and then processed before being integrated with water distribution infrastructure data within a GIS to identify temperature anomalies indicative of leaks. A scalable thermally based remote sensing algorithm was developed for detecting water leaks. The model achieved a precision of 82% and a recall of 90%, demonstrating the high accuracy of the model in detecting most leaks. An F1-Score of 0.86 demonstrated a strong balance between detection accuracy and false alarms, suitable for operational use. The integration of drone data within a GIS platform offers a scalable framework for a proactive approach in water-scarce urban contexts.","摘要 许多非洲城市因城市配水系统效率低下而加剧的水资源短缺，威胁着可持续发展目标的实现。考虑到气候变化、污染、人口增长和农业用水需求增加对水资源造成的额外压力，这一情况令人担忧。因此，有必要开发高效、快速且可重复的方法来追踪城市配水和水资源利用情况。本研究应用基于无人机的热红外成像技术，对哈拉雷老化的供水管网进行实时漏损检测与监测，通过刻画配水基础设施特征，重点关注管道材质和管龄的空间变化。研究使用DJI Mavic 3T无人机获取超高分辨率热红外影像，经处理后与GIS中的配水基础设施数据整合，以识别指示漏损的温度异常。研究开发了一种可扩展的基于热红外的遥感算法用于检测漏水。该模型达到了82%的精确率和90%的召回率，表明其在检测大多数漏损方面具有较高准确性。F1分数为0.86，表明检测准确性与误报之间取得了良好平衡，适合实际业务应用。将无人机数据整合至GIS平台，为水资源短缺的城市环境提供了一种可扩展的主动管理框架。",null,"Journal of Water Sanitation and Hygiene for Development","2026-09-11T00:00:00Z","论文",10,false,74,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},14,21,18,13,8,1,"基于无人机热红外与GIS的城市供水漏损检测研究，方法可复用于农业灌溉管网监测，但场景偏城市水务，与三农直接关联有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"无人机","遥感监测","GIS","智慧水务","城市供水",0,"10.2166\u002Fwashdev.2026.227",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":6,"card":52,"direction":58,"ingested_from":59},"W7212404404",[37,40,43,46,49],{"name":38,"orcid":39},"Godknows Ignatius Junior Mugabe","https:\u002F\u002Forcid.org\u002F0009-0000-6557-3481",{"name":41,"orcid":42},"Webster Gumindoga","https:\u002F\u002Forcid.org\u002F0000-0001-8530-7383",{"name":44,"orcid":45},"Munyaradzi Davis Shekede","https:\u002F\u002Forcid.org\u002F0000-0002-6540-3316",{"name":47,"orcid":48},"Alexander Mhizha","https:\u002F\u002Forcid.org\u002F0000-0002-6890-5143",{"name":50,"orcid":51},"Manuel Ndebele","https:\u002F\u002Forcid.org\u002F0000-0002-1432-6322",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"用无人机热红外成像检测津巴布韦哈拉雷城市供水管网泄漏并实时监测。","DJI Mavic 3T热红外影像结合GIS管网数据，开发热遥感泄漏检测算法。","模型精度82%、召回率90%、F1值0.86，可有效检测多数泄漏点。","智慧农业 \u002F 农业物联网","可将无人机热红外泄漏检测拓展至农业灌溉管网，结合物联网实现精准漏损预警。","农业遥感与作物表型","openalex","2026-09-13T23:30:23.478384Z"]