Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande

被引:13
作者
Abudu, Shalamu [1 ,2 ]
King, J. Phillip [1 ]
Sheng, Zhuping [3 ]
机构
[1] New Mexico State Univ, Dept Civil Engn, Las Cruces, NM 88003 USA
[2] Xinjiang Water Resources Res Inst, Urumqi, Xinjiang, Peoples R China
[3] Texas A&M Univ Syst, Texas AgriLife Res & Extens Ctr El Paso, El Paso, TX 79927 USA
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 2012年 / 48卷 / 01期
关键词
forecasting; performance characteristics; time series analysis; artificial neural networks; water quality; dissolved solids; Rio Grande; ARTIFICIAL NEURAL-NETWORKS; WATER-QUALITY; TIME-SERIES; RIVER; PREDICTION;
D O I
10.1111/j.1752-1688.2011.00587.x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Abudu, S., J.P. King, Z. Sheng, 2011. Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande. Journal of the American Water Resources Association (JAWRA) 48(1): 10-23. DOI: 10.1111/j.1752-1688.2011.00587.x
引用
收藏
页码:10 / 23
页数:14
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