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Volumn 90, Issue 8, 2009, Pages 2612-2619
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An eco-environmental water demand based model for optimising water resources using hybrid genetic simulated annealing algorithms. Part II. Model application and results
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Author keywords
China; Haihe river basin; Hybrid method; Optimisation; Water demand forecasting; Water resource
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Indexed keywords
FORECASTING;
SIMULATED ANNEALING;
WATERSHEDS;
CHINA;
COMBINED FORECASTING;
ECO-ENVIRONMENTAL WATER DEMANDS;
FORECASTING METHODS;
HAIHE RIVER BASIN;
HYBRID METHOD;
OPTIMISATIONS;
OPTIMIZATION MODELS;
WATER DEMAND FORECASTING;
WATERS RESOURCES;
RIVERS;
GROUND WATER;
SURFACE WATER;
FORECASTING METHOD;
GENETIC ALGORITHM;
OPTIMIZATION;
PRECISION;
SIMULATED ANNEALING;
WATER DEMAND;
WATER PLANNING;
WATER RESOURCE;
WATER SUPPLY;
WATER USE;
ACCURACY;
ANALYTICAL ERROR;
ARTICLE;
CHINA;
CONTROLLED STUDY;
FORECASTING;
GENETIC ALGORITHM;
IRRIGATION (AGRICULTURE);
MATHEMATICAL ANALYSIS;
MATHEMATICAL MODEL;
PROCESS OPTIMIZATION;
RESOURCE MANAGEMENT;
RIVER BASIN;
SIMULATION;
WATER AVAILABILITY;
WATER MANAGEMENT;
WATER SUPPLY;
ASIA;
CHINA;
EURASIA;
FAR EAST;
HAI RIVER;
HEBEI;
LUANHE BASIN;
TIANJIN;
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EID: 67349098373
PISSN: 03014797
EISSN: None
Source Type: Journal
DOI: 10.1016/j.jenvman.2009.02.009 Document Type: Article |
Times cited : (23)
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References (15)
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