Simulation and prediction of suprapermafrost groundwater level variation in response to climate change using a neural network model

Journal of Hydrology

Volumn 529, Issue , 2015, Pages 1211-1220

  Chang, Juan ^a   Wang, Genxu ^b   Mao, Tianxu ^b  

^a LANZHOU UNIVERSITY   (China)

^b INSTITUTE OF MOUNTAIN HAZARDS AND ENVIRONMENT   (China)

Author keywords

ANN model; Climate change; Groundwater level; Spatial variation; Suprapermafrost groundwater

Indexed keywords

CLIMATE MODELS; FORECASTING; GROUNDWATER; MONITORING; PERMAFROST;

ANN MODELING; ENVIRONMENTAL CONDITIONS; FIELD MONITORING DATA; GROUNDWATER LEVEL VARIATION; MODELING AND FORECASTING; PARAMETER UNCERTAINTY; PREDICTION CAPABILITY; SPATIAL VARIATIONS;

CLIMATE CHANGE;

ACCURACY ASSESSMENT; ALPINE ENVIRONMENT; ARTIFICIAL NEURAL NETWORK; CLIMATE CHANGE; GROUNDWATER; HYDROLOGICAL CYCLE; NUMERICAL MODEL; PERMAFROST; PREDICTION; SPATIAL VARIATION; UNCERTAINTY ANALYSIS; VULNERABILITY; WARMING;

EID: 84942795851     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.09.038     Document Type: Article

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