| 论文编号: | |
| 论文题目: | Water Quality Analysis and Prediction Using Hybrid Time Series and Neural Network Models |
| 英文论文题目: | Water Quality Analysis and Prediction Using Hybrid Time Series and Neural Network Models |
| 第一作者: | 张蕾 |
| 英文第一作者: | Zhang, L. |
| 联系作者: | 章光新 |
| 英文联系作者: | Zhang, G. X. |
| 外单位作者单位: | |
| 英文外单位作者单位: | |
| 发表年度: | 2016 |
| 卷: | 18 |
| 期: | 4 |
| 页码: | 975-983 |
| 摘要: | Chagan Lake serves as an important ecological barrier in western Jilin. Accurate water quality series predictions for Chagan Lake are essential to the maintenance of water environment security. In the present study, a hybrid AutoRegressive Integrated Moving Average (ARIMA) and Radial Basis Function Neural Network (RBFNN) model is used to predict and examine the water quality [Total Nitrogen (TN), and Total Phosphorus (TP)] of Chagan Lake. The results reveal the following: (1) TN concentrations in Chagan Lake increased slightly from 2006 to 2011, though yearly variations in TP were not significant. The TN and TP levels were mainly classified as Grades IV and V, (2) The hybrid ARIMA and RBFNN model's RMSE values for the observed and predicted data were 0.139 and 0.036 mg L-1 for TN and TP, respectively, which indicated that the hybrid model describes TN and TP variations more comprehensively and accurately than single ARIMA and RBFNN model. The results serve as a theoretical basis for ecological and environmental monitoring of Chagan Lake and may help guide irrigation district and water project construction planning for western Jilin Province. |
| 英文摘要: | Chagan Lake serves as an important ecological barrier in western Jilin. Accurate water quality series predictions for Chagan Lake are essential to the maintenance of water environment security. In the present study, a hybrid AutoRegressive Integrated Moving Average (ARIMA) and Radial Basis Function Neural Network (RBFNN) model is used to predict and examine the water quality [Total Nitrogen (TN), and Total Phosphorus (TP)] of Chagan Lake. The results reveal the following: (1) TN concentrations in Chagan Lake increased slightly from 2006 to 2011, though yearly variations in TP were not significant. The TN and TP levels were mainly classified as Grades IV and V, (2) The hybrid ARIMA and RBFNN model's RMSE values for the observed and predicted data were 0.139 and 0.036 mg L-1 for TN and TP, respectively, which indicated that the hybrid model describes TN and TP variations more comprehensively and accurately than single ARIMA and RBFNN model. The results serve as a theoretical basis for ecological and environmental monitoring of Chagan Lake and may help guide irrigation district and water project construction planning for western Jilin Province. |
| 刊物名称: | Journal of Agricultural Science and Technology |
| 英文刊物名称: | Journal of Agricultural Science and Technology |
| 论文全文: | |
| 英文论文全文: | |
| 全文链接: | |
| 其它备注: | |
| 英文其它备注: | |
| 学科: | |
| 英文学科: | |
| 影响因子: | |
| 第一作者所在部门: | |
| 英文第一作者所在部门: | |
| 论文出处: | |
| 英文论文出处: | |
| 论文类别: | |
| 英文论文类别: | |
| 参与作者: | |
| 英文参与作者: | Zhang, G. X., Li, R. R. |
删除或更新信息，请邮件至freekaoyan#163.com(#换成@)
Water Quality Analysis and Prediction Using Hybrid Time Series and Neural Network Models
本站小编 Free考研考试/2020-03-20
相关话题/Water Quality Analysis
领限时大额优惠券,享本站正版考研考试资料!
优惠券领取后72小时内有效，10万种最新考研考试考证类电子打印资料任你选。涵盖全国500余所院校考研专业课、200多种职业资格考试、1100多种经典教材，产品类型包含电子书、题库、全套资料以及视频，无论您是考研复习、考证刷题，还是考前冲刺等，不同类型的产品可满足您学习上的不同需求。 ...考试优惠券 本站小编 Free壹佰分学习网 2022-09-19Methane emissions from created and restored freshwater and brackish marshes in southwest Florida, US
论文编号:论文题目:MethaneemissionsfromcreatedandrestoredfreshwaterandbrackishmarshesinsouthwestFlorida,USA英文论文题目:Methaneemissionsfromcreatedandrestoredfreshwa ...东北地理与农业生态研究所 本站小编 Free考研考试 2020-03-20
