[Objective] The aim was to study the coupling effect of water and phosphate on economic traits of sugarcane. [Method] Taking sugarcane variety ROC22 as tested material,coupling effects of different levels of water sup...[Objective] The aim was to study the coupling effect of water and phosphate on economic traits of sugarcane. [Method] Taking sugarcane variety ROC22 as tested material,coupling effects of different levels of water supply quantity and different levels of phosphorus fertilizer on the yield and quality of sugarcane were studied. Among them,water supply quantity had 3 levels,that was,the water supply quantity per 10 days from the early tillering stage of sugarcane to the end of elongation was 199.5 m3/hm2 (A1),400.5 m3/hm2 (A2) and 600.0 m3/hm2 (A3),respectively; Phosphorus fertilizer as basic fertilizer had 4 levels:P2O5 0 kg/hm2 (B1),120 kg/hm2 (B2),240 kg/hm2 (B3) and 360 kg/hm2 (B4). [Result] Treatment A3B2 in water-fertilizer coupling was more suitable to improve economic traits of sugarcane. [Conclusion] The research results provide theoretical basis for the efficient utilization of water and phosphorus fertilizer in production of Guangxi sugarcane and the cultivation of high-yield and high-glucose sugarcane.展开更多
由于水质数据特征复杂、关联度参差不齐而导致溶解氧浓度预测难度较大,为提高水质溶解氧浓度预测的准确性,提出了一种基于特征工程和北方苍鹰优化算法的长短期记忆网络(Feature Engineering-Northern Goshawk Optimization-Long Short T...由于水质数据特征复杂、关联度参差不齐而导致溶解氧浓度预测难度较大,为提高水质溶解氧浓度预测的准确性,提出了一种基于特征工程和北方苍鹰优化算法的长短期记忆网络(Feature Engineering-Northern Goshawk Optimization-Long Short Term Memory,FE-NGO-LSTM)混合模型。首先对水质数据集进行缺失值补齐、特征筛选与特征多项式构造,然后基于NGO-LSTM模型优化模型参数,提升预测性能;对不同多项式阶数下的特征预测效果进行分析之后,将该模型与基于灰狼优化算法、鲸鱼优化算法及粒子群优化算法的LSTM模型进行对比;最后,在太湖流域东苕溪城南监测断面对该模型进行了验证,计算FE-NGO-LSTM模型预见期为4,8,12,16,20,24 h的预测结果。试验结果显示:当多项式阶数为2阶时,模型预测效果最好,FE-NGO-LSTM模型相比基于其他优化算法的LSTM模型,平均绝对误差、均方误差、均方根误差分别至少降低9.0%,12.9%及6.3%,且随着预见期的增加,预测误差仍在可接受范围内,说明FE-NGO-LSTM模型在预测溶解氧浓度时具有一定优势与泛化性。展开更多
针对流域级闸控大型河网水环境日常管理的应用需求与实际特点,将资料适应性强的水文学方法与数据要求相对严苛的水动力-水质数值模型相融合,构建了一维与二维嵌套、分块组合的闸控大型河网水文-水动力-水质耦合数学模型DHQM(Hydrology,H...针对流域级闸控大型河网水环境日常管理的应用需求与实际特点,将资料适应性强的水文学方法与数据要求相对严苛的水动力-水质数值模型相融合,构建了一维与二维嵌套、分块组合的闸控大型河网水文-水动力-水质耦合数学模型DHQM(Hydrology,Hydrodynamics,and Water Quality Model for Impounded Rivers)。模型由河道径流模拟、闸坝调度过程模拟、河道水质模拟、区间入流及入河污染负荷估算和水质预警实时校正等5个模块组成。模型可服务于水环境实时预警和调度,也可为闸坝水文环境效应的量化提供基础工具。展开更多
针对中国多闸坝重污染河流的典型代表——淮河中游河网,为提高其流域水环境预警及应急响应能力,依据水文-水动力-水质耦合数学模型DHQM(Hydrology,Hydrodynamics,and Water Quality Model)的理论框架,构建了由淮河干流、沙颍河和涡河3...针对中国多闸坝重污染河流的典型代表——淮河中游河网,为提高其流域水环境预警及应急响应能力,依据水文-水动力-水质耦合数学模型DHQM(Hydrology,Hydrodynamics,and Water Quality Model)的理论框架,构建了由淮河干流、沙颍河和涡河3个一维模块和鲁台子、蚌埠闸2个二维模块组成的淮河中游河网水文-水动力-水质耦合数学模型。采用经过验证的模型针对一个虚拟的水污染事故情景,分析了不同调度方案与淮河干流来水组合下污染团下泄对下游水质的影响;并以保障淮河干流蚌埠市饮用水源地的取水水质安全和减轻事故对下游水质的影响程度为目标,优选出分期小流量慢速下泄污染水体为最佳的水量水质联合应急调度方案。展开更多
基金Supported by National Science and Technology Project of China(2007BAD30B04)~~
文摘[Objective] The aim was to study the coupling effect of water and phosphate on economic traits of sugarcane. [Method] Taking sugarcane variety ROC22 as tested material,coupling effects of different levels of water supply quantity and different levels of phosphorus fertilizer on the yield and quality of sugarcane were studied. Among them,water supply quantity had 3 levels,that was,the water supply quantity per 10 days from the early tillering stage of sugarcane to the end of elongation was 199.5 m3/hm2 (A1),400.5 m3/hm2 (A2) and 600.0 m3/hm2 (A3),respectively; Phosphorus fertilizer as basic fertilizer had 4 levels:P2O5 0 kg/hm2 (B1),120 kg/hm2 (B2),240 kg/hm2 (B3) and 360 kg/hm2 (B4). [Result] Treatment A3B2 in water-fertilizer coupling was more suitable to improve economic traits of sugarcane. [Conclusion] The research results provide theoretical basis for the efficient utilization of water and phosphorus fertilizer in production of Guangxi sugarcane and the cultivation of high-yield and high-glucose sugarcane.
文摘由于水质数据特征复杂、关联度参差不齐而导致溶解氧浓度预测难度较大,为提高水质溶解氧浓度预测的准确性,提出了一种基于特征工程和北方苍鹰优化算法的长短期记忆网络(Feature Engineering-Northern Goshawk Optimization-Long Short Term Memory,FE-NGO-LSTM)混合模型。首先对水质数据集进行缺失值补齐、特征筛选与特征多项式构造,然后基于NGO-LSTM模型优化模型参数,提升预测性能;对不同多项式阶数下的特征预测效果进行分析之后,将该模型与基于灰狼优化算法、鲸鱼优化算法及粒子群优化算法的LSTM模型进行对比;最后,在太湖流域东苕溪城南监测断面对该模型进行了验证,计算FE-NGO-LSTM模型预见期为4,8,12,16,20,24 h的预测结果。试验结果显示:当多项式阶数为2阶时,模型预测效果最好,FE-NGO-LSTM模型相比基于其他优化算法的LSTM模型,平均绝对误差、均方误差、均方根误差分别至少降低9.0%,12.9%及6.3%,且随着预见期的增加,预测误差仍在可接受范围内,说明FE-NGO-LSTM模型在预测溶解氧浓度时具有一定优势与泛化性。
文摘针对流域级闸控大型河网水环境日常管理的应用需求与实际特点,将资料适应性强的水文学方法与数据要求相对严苛的水动力-水质数值模型相融合,构建了一维与二维嵌套、分块组合的闸控大型河网水文-水动力-水质耦合数学模型DHQM(Hydrology,Hydrodynamics,and Water Quality Model for Impounded Rivers)。模型由河道径流模拟、闸坝调度过程模拟、河道水质模拟、区间入流及入河污染负荷估算和水质预警实时校正等5个模块组成。模型可服务于水环境实时预警和调度,也可为闸坝水文环境效应的量化提供基础工具。
文摘针对中国多闸坝重污染河流的典型代表——淮河中游河网,为提高其流域水环境预警及应急响应能力,依据水文-水动力-水质耦合数学模型DHQM(Hydrology,Hydrodynamics,and Water Quality Model)的理论框架,构建了由淮河干流、沙颍河和涡河3个一维模块和鲁台子、蚌埠闸2个二维模块组成的淮河中游河网水文-水动力-水质耦合数学模型。采用经过验证的模型针对一个虚拟的水污染事故情景,分析了不同调度方案与淮河干流来水组合下污染团下泄对下游水质的影响;并以保障淮河干流蚌埠市饮用水源地的取水水质安全和减轻事故对下游水质的影响程度为目标,优选出分期小流量慢速下泄污染水体为最佳的水量水质联合应急调度方案。