机译:结合测量,数值模型和物元分析优化大河水质监测网络
Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China,China Three Gorges University, Yichang, China;
Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China;
Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China,Laboratory of Hydraulic Constructions, School of Architecture, Civil and Environment Engineering, Ecole Polytechnique Federale Lausanne, Lausanne, Switzerland;
Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China;
Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China;
water quality; monitoring station; optimization; numerical model; statistical analysis;
机译:使用蒙特卡洛优化的人工神经网络在非活动监测点进行虚拟水质监测:以多瑙河(塞尔维亚)为例
机译:使用连续的纵向监测数据优化水质监测网络:以温州唐河温瑞河为例
机译:使用基于数值,地统计和神经网络的组合仿真模型提高地下水监测网络的可靠性
机译:泥沙负荷的地貌和数值模拟相结合的分析方法,以开发泥沙水质目标
机译:两国河流管理下里约格兰德河水质运输数值模型的建立
机译:基于改进的模糊物元模型的河流水质评价
机译:泥沙负荷的地貌和数值模拟相结合的分析方法,以开发泥沙水质目标
机译:圣约翰河下游水质监测及水质模拟建议回顾