GIS-based models for water quantity and quality assessment in the Júcar River Basin, Spain, including climate change effects

2012 ◽  
Vol 440 ◽  
pp. 42-59 ◽  
Author(s):  
Javier Ferrer ◽  
Miguel A. Pérez-Martín ◽  
Sara Jiménez ◽  
Teodoro Estrela ◽  
Joaquín Andreu
Keyword(s):  
Climate Change ◽  
Quality Assessment ◽  
River Basin ◽  
Water Quantity ◽  
Climate Change Effects ◽  
Water Quantity And Quality

Water quantity and quality assessment of lower Nestos river, Greece

2011 ◽  
Vol 46 (10) ◽  
pp. 1050-1067 ◽  
Author(s):  
Ioannis Boskidis ◽  
Georgios D. Gikas ◽  
Georgios Sylaios ◽  
Vassilios A. Tsihrintzis
Keyword(s):  
Quality Assessment ◽  
Water Quantity ◽  
Nestos River ◽  
Water Quantity And Quality

Assessment of Future Climate Change Impacts on Water Quantity and Quality for a Mountainous Dam Watershed Using SWAT

2011 ◽  
Vol 54 (5) ◽  
pp. 1725-1737 ◽  
Author(s):  
J.-Y. Park ◽  
M.-J. Park ◽  
S.-R. Ahn ◽  
G.-A. Park ◽  
J.-E. Yi ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Future Climate ◽  
Future Climate Change ◽  
Water Quantity ◽  
Water Quantity And Quality

scholarly journals Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

2016 ◽  
Author(s):  
Awoke D. Teshager ◽  
Philip W. Gassman ◽  
Justin T. Schoof ◽  
Silvia Secchi
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
21St Century ◽  
Agricultural Land ◽  
Agricultural Landscapes ◽  
Water Quantity ◽  
Agricultural Land Use ◽  
Water Quantity And Quality

Abstract. Modeling impacts of agricultural scenarios and climate change on surface water quantity and quality provides useful information for planning effective water, environmental, and land use policies. Despite the significant impacts of agriculture on water quantity and quality, limited literature exists that describes the combined impacts of agricultural land use change and climate change on future bioenergy crop yields and watershed hydrology. In this study, the Soil and Water Assessment Tool (SWAT) eco-hydrological model was used to model the combined impacts of five agricultural land use change scenarios and three downscaled climate pathways (representative concentration pathways, RCPs) that were created from an ensemble of eight atmosphere-ocean general circulation models (AOGCMs). These scenarios were implemented in a well calibrated SWAT model for the Raccoon River watershed (RRW) located in western Iowa. The scenarios were executed for the historical baseline, early-century, mid-century, and late-century periods. The results indicate that historical and more corn intensive agricultural scenarios with higher CO2 emissions consistently result in more water in the streams and greater water quality problems, especially late in the 21st century. Planting more switchgrass, on the other hand, results in less water in the streams and water quality improvements relative to the baseline. For all given agricultural landscapes simulated, all flow, sediment and nutrient outputs increase from early-to-late century periods for the RCP4.5 and RCP8.5 climate scenarios. We also find that corn and switchgrass yields are negatively impacted under RCP4.5 and RCP8.5 scenarios in the mid and late 21st century.

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