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Surface Water Quality Modelling
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This Special Issue showcases some advanced methodologies used in surface water quality modelling. Its aim is to introduce several topics that are new in the field of surface water quality modelling and help spur new developments in each of the topics. It is intended for a readership consisting of researchers, academicians, consultants and government agency representatives. The editor of this Special Issue wishes to thank all authors, reviewers and academic editors in their contributions, without whom the publishing of this collective work would not have come to pass.
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Keywords
- ammonium nitrogen
- anthropogenic activities
- Ara Waterway
- CARS
- CE-QUAL-W2
- chemical oxygen demand
- Copper
- DPSIR models
- Economics
- Economics, finance, business & management
- ecosystem state
- Environmental economics
- European Union’s Floods Directive
- Haihe River Basin
- HEC-RAS
- hydro-electric power
- ice-jam flood hazard
- ice-jam flood risk
- La Buong River
- Lake Malombe
- lower Athabasca River
- machine learning algorithms
- marine environmental capacity (MEC)
- n/a
- NDVI
- Nickel
- nutrient transport
- oil sands region
- Pesticides
- PLS–DA
- Poyang Lake basin
- quasi-2D modelling
- Reference, information & interdisciplinary subjects
- Research & information: general
- reservoir management
- residual
- response factor
- Sanmen Bay
- SMOTE
- space-borne remote sensing
- SPARROW
- surface water
- surface water quality
- Tobit model
- Trace metals
- vis-NIR spectroscopy
- WASP
- WASP8
- water exchange
- water quality index (WQI)
- water quality model
- water transfers
- water-quality analysis simulation program (WASP)
- water-quality modelling
- Yamuna River
Links
DOI: 10.3390/books978-3-0365-6946-8Editions