TY - GEN
T1 - Using GM (1,1) models to predict groundwater level in the lower reaches of Tarim River
T2 - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
AU - Xu, Jianhua
AU - Chen, Yaning
AU - Li, Weihong
PY - 2008
Y1 - 2008
N2 - Grey System theory is a multidisciplinary theory dealing with those systems for which we lack information, which uses a black-grey-white color spectrum to describe a complex system whose characteristics are only partially known or known with uncertainty. From the point of view of grey system theory, the dynamic of groundwater level in the lower reaches of Tarim River is typical grey system, which maybe provides us one of methods to approach the problem. As an attempt, through demonstration at Yingsu section, the paper has comparatively studied the grey forecasting models to predict the groundwater level in the lower reaches of Tarim River. The conclusions are: (1) The grey forecasting models, which include equal and unequal time lag GM (1,1) model, are applicable models to predict the groundwater level in lower reaches of Tarim River. The accuracy test parameters, P and C for equal and unequal time lag GM (1,1) model both achieved the desired impact for prediction. (2) The forecasted depth of groundwater for each well by unequal time lag GM (1,1) model is somewhat less than that by equal time lag GM (1,1) model. If the average of forecasted depth of groundwater by the two kind models is regarded as the predicted result, the depth of groundwater of monitoring well C4, C5 and C6 in 2007 will be 4.1696 m, 4.317 m and 4.4839 m respectively, and that in 2008 will be 4.0612 m, 4.2308 m and 4.3604 m respectively.
AB - Grey System theory is a multidisciplinary theory dealing with those systems for which we lack information, which uses a black-grey-white color spectrum to describe a complex system whose characteristics are only partially known or known with uncertainty. From the point of view of grey system theory, the dynamic of groundwater level in the lower reaches of Tarim River is typical grey system, which maybe provides us one of methods to approach the problem. As an attempt, through demonstration at Yingsu section, the paper has comparatively studied the grey forecasting models to predict the groundwater level in the lower reaches of Tarim River. The conclusions are: (1) The grey forecasting models, which include equal and unequal time lag GM (1,1) model, are applicable models to predict the groundwater level in lower reaches of Tarim River. The accuracy test parameters, P and C for equal and unequal time lag GM (1,1) model both achieved the desired impact for prediction. (2) The forecasted depth of groundwater for each well by unequal time lag GM (1,1) model is somewhat less than that by equal time lag GM (1,1) model. If the average of forecasted depth of groundwater by the two kind models is regarded as the predicted result, the depth of groundwater of monitoring well C4, C5 and C6 in 2007 will be 4.1696 m, 4.317 m and 4.4839 m respectively, and that in 2008 will be 4.0612 m, 4.2308 m and 4.3604 m respectively.
UR - https://www.scopus.com/pages/publications/58149141620
U2 - 10.1109/FSKD.2008.22
DO - 10.1109/FSKD.2008.22
M3 - 会议稿件
AN - SCOPUS:58149141620
SN - 9780769533056
T3 - Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
SP - 668
EP - 672
BT - Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008
Y2 - 18 October 2008 through 20 October 2008
ER -