机译:机械学习方法城市普利洪水预测 - 以深圳市深圳市为例
Delft Univ Technol Fac Civil Engn & Geosci Dept Hydraul Engn NL-2628 CN Delft Netherlands;
Delft Univ Technol Dept Water Management Fac Civil Engn & Geosci NL-2628 CN Delft Netherlands|KWR Water Res Inst Groningenhaven 7 NL-3433 PE Nieuwegein Netherlands;
Delft Univ Technol Fac Civil Engn & Geosci Dept Hydraul Engn NL-2628 CN Delft Netherlands;
Southern Univ Sci & Technol Sch Environm Sci & Engn Shenzhen 518055 Peoples R China;
Wuhan Univ State Key Lab Water Resources & Hydropower Engn S Wuhan 430072 Peoples R China;
Sun Yat Sen Univ Inst Estuarine & Coastal Res Guangdong Prov Engn Res Ctr Coasts Isl & Reefs Sch Marine Engn & Technol Guangzhou Peoples R China|State & Local Joint Engn Lab Estuarine Hydraul Te Southern Marine Sci & Engn Guangdong Lab Zhuhai Guangzhou Peoples R China;
Shanghai Inst Technol Shanghai Peoples R China;
Meteorol Bur Shenzhen Municipal Shenzhen Natl Climate Observ Shenzhen Peoples R China;
Southern Univ Sci & Technol Sch Environm Sci & Engn Shenzhen 518055 Peoples R China;
Urban pluvial flooding; Rainfall threshold; Machine learning; Shenzhen city;
机译:评估山洪暴雨对城市内部道路网络的影响和风险:以中国上海市中心为例
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机译:中国城市环境管理体制创新的实证研究-以深圳市为例
机译:leisure lifestyle sin Urban China: A case study in Hangzhou, Cheng读, Beijing, Shanghai, Qingdao, ands很真
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机译:评估山洪暴雨对城市内部道路网络的影响和风险:以中国上海市中心为例
机译:高分辨率城市土地覆盖分类的机器学习途径。 (比较研究)。