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A review of hydrological/water-quality models |
Liangliang GAO1,Daoliang LI2,*( ) |
1. College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, China
2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China |
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Abstract Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries). Currently, the most important trends for future model development are: (1) combination models—individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2) application of artificial intelligence and mechanistic models combined with non-mechanistic models will provide more accurate results because of the realistic parameters derived from non-mechanistic models, and (3) integration with remote sensing, geographical information and global position systems (3S) —3S can solve problems requiring large amounts of data.
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| Keywords
water quality models
applications
future trends
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Corresponding Author(s):
Daoliang LI
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Online First Date: 11 February 2015
Issue Date: 10 March 2015
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