Future water availability in the largest freshwater Mediterranean lake is at great risk as evidenced from simulations with the SWAT model-Reference-Cited by-同舟云学术

Future water availability in the largest freshwater Mediterranean lake is at great risk as evidenced from simulations with the SWAT model

Published:2017-03 Issue: Volume:581-582 Page:413-425
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Bucak Tuba,Trolle Dennis,Andersen Hans Estrup,Thodsen Hans,Erdoğan Şeyda,Levi Eti E.,Filiz Nur,Jeppesen Erik,Beklioğlu Meryem

Funder

7th EU Framework Programme

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference88 articles.

1. SWAT-CUP 2012: SWAT Calibration and Uncertainty Programs-A User Manual;Abbaspour,2013

2. Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT;Abbaspour;J. Hydrol.,2007

3. Simulating hydrological and nonpoint source pollution processes in a karst watershed: a variable source area hydrology model evaluation;Amin;Agric. Water Manag.,2016

4. The effects of climate change on decomposition processes in grassland and coniferous forests;Anderson;Ecol. Appl.,1991

5. Climate change and British hydrology;Arnell,1999

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