水资源与水工程学报

文章摘要

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Journal of Water Resources and Water Engineering[J].,2013,24(3):18-22

基于遗传规划的地下水盐分动态模拟

Dynamic simulation of groundwater salinity based on genetic plan

Received:January 26, 2013 Revised:February 28, 2013

DOI：10.11705/j.issn.1672-643X.2013.03.005

中文关键词: 遗传规划地下水盐分电导率时间序列

英文关键词: genetic programming groundwater salinity conductivity time series

基金项目:国家自然科学基金项目( 41001013、41001378、41001360)

Author Name	Affiliation
ZHANG Chuanqi	Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China
WEN Xiaohu	Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China
WANG Yong	Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China
WANG De	Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China
WANG Qiong	Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China

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中文摘要:

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。

英文摘要:

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.

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