2001
DOI: 10.1080/02626660109492798
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Hydrological response to climate change in the Black Hills of South Dakota, USA

Abstract: The hydrological response due to potential CO,~forced climate change in the Black Hills of South Dakota was investigated using modelling techniques that include variations to atmospheric CO,, temperature, and precipitation. The Soil and Water Assessment Tool (SWAT) was used to model the 427 km 2 Spring Creek basin hydrology and simulate the impact of potential climate change. As expected, modelling results of precipitation and temperature change demonstrated that increased temperature caused a decrease in wate… Show more

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Cited by 58 publications
(35 citation statements)
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References 40 publications
(31 reference statements)
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“…Regarding maximum values, the pessimistic Scenario A2 gave the most extreme value. These results showing reductions in mean flow for future scenarios correspond to those of Fontaine et al (2009), who evaluated the impacts of climate change on water yields in the Spring Creek basin of the Missouri River in South Dakota, USA. These authors found a reduction of about 39% in mean annual flow.…”
Section: Calibration Of Swatmentioning
confidence: 83%
“…Regarding maximum values, the pessimistic Scenario A2 gave the most extreme value. These results showing reductions in mean flow for future scenarios correspond to those of Fontaine et al (2009), who evaluated the impacts of climate change on water yields in the Spring Creek basin of the Missouri River in South Dakota, USA. These authors found a reduction of about 39% in mean annual flow.…”
Section: Calibration Of Swatmentioning
confidence: 83%
“…The SWAT model divides the watershed into multiple subwatersheds, which are then further subdivided into hydrologic response units (HRUs) that consist of homogenous land use, management, and soil characteristics. Models calibrated using watershed and water quality data have been used to forecast water quantity/quality in response to climate change scenarios; the SWAT model has been widely used to predict water quantity and quality in response to various management and climate scenarios [40][41][42][43][44][45][46][47][48][49][50][51].…”
Section: Swat Modelmentioning
confidence: 99%
“…Studies have reported that an increase in CO 2 under constant temperature and precipitation causes an increase in water yield (Aber et al, 1995;Fontaine et al, 2001;Chaplot, 2007). As future changes in river discharge and watershed hydrology caused by global warming are important factors for water management, many researchers have studied the sensitivity of streamflow and hydrological processes to climate change (e.g.…”
Section: Introductionmentioning
confidence: 99%