| 基于遗传规划的地下水盐分动态模拟 |
| |
| 引用本文： | 张传奇,温小虎,王 勇,王 德,王 琼.基于遗传规划的地下水盐分动态模拟[J].水资源与水工程学报,2013,24(3):18-22. |
| |
| 作者姓名： | 张传奇 温小虎 王 勇 王 德 王 琼 |
| |
| 作者单位： | 1. 中国科学院烟台海岸带研究所,山东烟台264003;中国科学院大学,北京100049
2. 中国科学院烟台海岸带研究所,山东烟台,264003 |
| |
| 摘 要： | 地下水盐分动态研究对认识地下水盐化规律以及合理规划、利用和管理地下水资源具有重要的意义。本文以地下水盐分动态时间序列数据为基础,利用自回归综合移动平均(ARIMA)模型确定输入向量,建立了地下水盐分动态遗传规划模型。以黄河三角洲为例,使用该遗传规划模型对地下水盐分动态进行模拟。为检验GP模型的有效性,与ARIMA模型进行对比。结果表明:地下水盐分动态遗传规划模型适于地下水盐分动态模拟研究,而且模拟精度比单纯使用ARIMA模型有显著提高。
|
| 关 键 词： | 遗传规划 地下水盐分 电导率 时间序列 |
| 收稿时间： | 2013/1/26 0:00:00 |
| 修稿时间： | 2013/2/28 0:00:00 |
Dynamic simulation of groundwater salinity based on genetic plan |
| |
| ZHANG Chuanqi,WEN Xiaohu,WANG Yong,WANG De and WANG Qiong.Dynamic simulation of groundwater salinity based on genetic plan[J].Journal of water resources and water engineering,2013,24(3):18-22. |
| |
| Authors: | ZHANG Chuanqi WEN Xiaohu WANG Yong WANG De and WANG Qiong |
| |
| Affiliation: | Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China;Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China;Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China;Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China;Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China |
| |
| Abstract: | The research on groundwater salinity dynamic plays an important role in understanding the rules of groundwater salinization and the reasonable plan, utilization and management of groundwater resource. A genetic programming (GP) model by using groundwater salinity time series was proposed to model groundwater salinity dynamic. The autoregressive integrated moving average (ARIMA) model was used to determine the input vectors of GP model. The GP model was applied to model groundwater salinity dynamic in the Yellow River Delta. Besides, the GP model was compared with ARIMA model to test the validity. Results indicated that the GP model of groundwater salinity dynamic was suitable for model groundwater salinity dynamic; and the modelling accuracy of GP model is higher than that of ARIMA model. |
| |
| Keywords: | genetic programming groundwater salinity conductivity time series |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《水资源与水工程学报》浏览原始摘要信息 |
|
点击此处可从《水资源与水工程学报》下载全文 |
|
