Neural networks to simulate regional ground water levels affected by human activities

Ground Water

Volumn 46, Issue 1, 2008, Pages 80-90

  Feng, Shaoyuan ^a   Kang, Shaozhong ^a   Huo, Zailin ^a   Chen, Shaojun ^a   Mao, Xiaomin ^a  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AQUIFERS; COMPUTER SIMULATION; ECONOMIC ANALYSIS; IDENTIFICATION (CONTROL SYSTEMS); IRRIGATION; METEOROLOGY;

AGRICULTURAL GROUND WATER; GROUND WATER LEVELS;

NEURAL NETWORKS;

AGRI-ENVIRONMENTAL POLICY; AGRICULTURAL PRACTICE; ANTHROPOGENIC EFFECT; ARTIFICIAL NEURAL NETWORK; EXTRACTION; GROUNDWATER; HUMAN ACTIVITY; HYDROLOGICAL MODELING; INFLOW; IRRIGATION; OASIS; SENSITIVITY ANALYSIS; SPATIAL DISTRIBUTION; WATER LEVEL;

AGRICULTURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHINA; COMPUTER SIMULATION; ENVIRONMENTAL PROTECTION; HUMAN; WATER SUPPLY;

AGRICULTURE; CHINA; COMPUTER SIMULATION; CONSERVATION OF NATURAL RESOURCES; HUMANS; NEURAL NETWORKS (COMPUTER); WATER SUPPLY;

ASIA; CHINA; EURASIA; FAR EAST; GANSU; MINQIN; SHIYANG BASIN;

EID: 37549038684     PISSN: 0017467X     EISSN: 17456584     Source Type: Journal    
DOI: 10.1111/j.1745-6584.2007.00366.x     Document Type: Article

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