Groundwater table forecast in Da’an City based on multivariate time series model
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DOI:10.7606/j.issn.1000-7601.2015.03.34
Key Words: groundwater table  principal component analysis (PCA)  multivariate time series model  forecasting
Author NameAffiliation
ZHANG Zhen-zhen 吉林大学环境与资源学院 吉林 长春 130021 
BIAN Jian-min 吉林大学环境与资源学院 吉林 长春 130021 
HAN Yu 吉林大学环境与资源学院 吉林 长春 130021 
ZHANG Lin 北京中环国宏环境资源科技有限公司 北京 100107 
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Abstract:
      At first, the influencing factors which had great relevance with groundwater table were determined by the principal component analysis (PCA) method, then established the groundwater table forecast model by using the multivariate time series CAR model, according to the information as rainfall, evapovation, groundwater exploitation and groundwater tables and so on from 2000 to 2009 in Da'an City. Also the model was validated and applied to forecast the groundwater tables. The result shown that: The correlation coefficients of agricultural water consumption, precipitation and evaporation with the groundwater table were 0.56, 0.46 and -0.13, respectively. The contributions of the three factors with the groundwater table were 43.09%, 27.45% and 21.39%, respectively. The total contribution rate was 91.93% and they were the major factors affecting the groundwater table. The relative error between forecasting value and measured value for confined and unconfined water tables was less than 5%. According to the forecast scheme, when the rainfall was reduced 10% and evaporation was increased 9%, and the agricultural water consumption was increased 11%, the confined water table will be reached 8.70 m, and the unconfined water table will be reached 4.55 m. So in drought period, the agricultural exploitation should be reduced properly, the surface water irrigation should be increased, to reduce the possibility of soil desertification.