Improving the forecast precision of river stage spatial and temporal distribution using drain pipeline knowledge coupled with BP artificial neural networks: a case study of Panlong River, Kunming, China

作者: Zhiqiang Xie , Qingyun Du , Fu Ren , Xiaowei Zhang , Sam Jamiesone

DOI: 10.1007/S11069-015-1648-3

关键词: HydrologyStormArtificial neural networkPipeline transportHydrogeologyFlood mythEnvironmental scienceNatural hazardStage (hydrology)Waterlogging (agriculture)

摘要: … The rainy season in Kunming lasts from May to September, and this is when extreme rainfall … garbage clogging, drainage pipeline problems resulted in flooding in several districts as …

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