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...
There are ~470,000 km2 of karst aquifers that feed many large springs in North China. Turbulent flow...
High accuracy in water demand predictions is an important basis for the rational allocation of city ...
International audienceGroundwater level prediction is an applied time series forecasting task with i...
Groundwater level (GWL) refers to the depth of the water table or the level of water below the Earth...
Abstract Groundwater level fluctuations are one of the main components of the hydrogeological cycle ...
In recent years, the groundwater level (GWL) and its dynamic changes in the Hebei Plain have gained ...
Grey prediction technique is a useful tool for few data analysis and short term forecasting. GM(2,1)...
Abstract – Design, operation and planning of water resources, irrigation and water supply systems re...
In order to assess the social factors affecting the water quality of the Zhanghe River and predict t...
Developing accurate soft computing methods for groundwater level (GWL) forecasting is essential for ...
The Three Gorges Project was implemented in 1994 to promote sustainable water resource use and devel...
Based on the data of annual runoff at Boluo Hydrologic Station in the Dongjiang River of Guangdong P...
A time series of data of rainfall in Thailand between the years 2005 and 2015 was employed to predic...
The North China Plain (NCP) is facing a water crisis under the dual impact of natural and anthropoge...
Prediction of groundwater level is implemented using Time-series prediction model and combined predi...
There are ~470,000 km2 of karst aquifers that feed many large springs in North China. Turbulent flow...
High accuracy in water demand predictions is an important basis for the rational allocation of city ...
International audienceGroundwater level prediction is an applied time series forecasting task with i...
Groundwater level (GWL) refers to the depth of the water table or the level of water below the Earth...
Abstract Groundwater level fluctuations are one of the main components of the hydrogeological cycle ...
In recent years, the groundwater level (GWL) and its dynamic changes in the Hebei Plain have gained ...
Grey prediction technique is a useful tool for few data analysis and short term forecasting. GM(2,1)...
Abstract – Design, operation and planning of water resources, irrigation and water supply systems re...
In order to assess the social factors affecting the water quality of the Zhanghe River and predict t...
Developing accurate soft computing methods for groundwater level (GWL) forecasting is essential for ...
The Three Gorges Project was implemented in 1994 to promote sustainable water resource use and devel...
Based on the data of annual runoff at Boluo Hydrologic Station in the Dongjiang River of Guangdong P...
A time series of data of rainfall in Thailand between the years 2005 and 2015 was employed to predic...
The North China Plain (NCP) is facing a water crisis under the dual impact of natural and anthropoge...
Prediction of groundwater level is implemented using Time-series prediction model and combined predi...
There are ~470,000 km2 of karst aquifers that feed many large springs in North China. Turbulent flow...
High accuracy in water demand predictions is an important basis for the rational allocation of city ...
International audienceGroundwater level prediction is an applied time series forecasting task with i...