2016
DOI: 10.1016/j.apgeog.2016.05.002
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Forecasting streamflow response to increased imperviousness in an urbanizing Midwestern watershed using a coupled modeling approach

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Cited by 22 publications
(11 citation statements)
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References 45 publications
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“…With regards to model optimization, it proved to be advantageous to include field-based soil database of the Torrens catchment as model input that resulted in satisfactory streamflow simulation of both peak and base flows (Figures 3 and 5) and improved simulation results for nutrient loads when compared with results for the urban catchment Aldgate of a previous study by Shrestha et al [27] that was based on a coarser representation of soils. All urbanization-related scenarios predicted increased streamflow as a result of increased surface flow and decreased baseflow that corresponds well with findings by Richards et al [16] and Sunde et al [19]. The trends of predicted TP loads as appeared to be strongly positively correlated with streamflow since phosphorus is primarily transported by sediments in surface streamflow.…”
Section: Discussionsupporting
confidence: 87%
“…With regards to model optimization, it proved to be advantageous to include field-based soil database of the Torrens catchment as model input that resulted in satisfactory streamflow simulation of both peak and base flows (Figures 3 and 5) and improved simulation results for nutrient loads when compared with results for the urban catchment Aldgate of a previous study by Shrestha et al [27] that was based on a coarser representation of soils. All urbanization-related scenarios predicted increased streamflow as a result of increased surface flow and decreased baseflow that corresponds well with findings by Richards et al [16] and Sunde et al [19]. The trends of predicted TP loads as appeared to be strongly positively correlated with streamflow since phosphorus is primarily transported by sediments in surface streamflow.…”
Section: Discussionsupporting
confidence: 87%
“…In SWAT, hydrologic processes such as surface runoff, infiltration, ET, canopy interception, and soil water movement are simulated at the HRU level (Neitsch, Arnold, Kiniry, & Williams, ). The SWAT has been used effectively for a wide variety of climate change and land‐use hydrologic impact assessments (Gassman, Sadeghi, & Srinivasan, ; Gassman et al, ; Sunde et al, ; Zeiger & Hubbart, ).…”
Section: Methodsmentioning
confidence: 99%
“…Approximately 60% of the city of Columbia, Missouri is located in HCW. A major portion of the catchment is comprised of urban land cover (~30%), with forested (~32%) and agricultural (~36%) areas being the other dominant types (Sunde, He, Hubbart, & Scroggins, ). After becoming listed as impaired under the guidelines of the Clean Water Act, Hinkson Creek (HC) has been the target of efforts to mitigate erosion and nonpoint source pollution (Hubbart, Holmes, & Bowman, ).…”
Section: Methodsmentioning
confidence: 99%
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“…Há vasta literatura destacando o uso de modelos em estudos teóricos e aplicados em vários campos da Pedologia (por ex., Hoosbeek e Bryant, 1992;Brooks e Richards, 1993;Pachepsky et al, 2006;Minasny et al, 2008;Vanwalleghem et al, 2013), da Climatologia (por ex., Wilks e Wilby, 1999;Viles e Goudie, 2003;Salmun e Molod, 2006;Donner e Large, 2008;Harrison et al, 2016), da Biogeografia (por ex., Moorhead et al, 1996;Jørgensen, 2008;Rovira e Rovira, 2010;Acevedo et al, 2012;Baird, 2013), da Geomorfologia (por ex., Fernandes, 1996;Kirkby, 1996;Kirkby, 2003;Lawler e Fairchild, 2010;Parker et al, 2011;Perron et al, 2012), da Hidrologia (por ex., Kampf e Burges, 2007;Ranatunga et al, 2008;Beven, 2012), entre outros. Da mesma forma, destacam-se estudos de modelagem na previsão e análise dos impactos associados a mudanças ambientais (por ex., Sohl e Sayler, 2008;Kettner e Syvitski, 2012), à expansão de áreas urbanas (por ex., Sunde et al, 2016) e à previsão de desastres naturais (por ex., Borga et al, 2014;Tonini et al, 2014). O contínuo crescimento do uso da modelagem nas últimas décadas reflete, pelo menos em parte, a maior popularização e os avanços nas técnicas de computação, os avanços nas próprias técnicas de modelagem, o reconhecimento da necessidade do estudo dos sistemas ambientais de modo integrado, assim como um aumento na demanda de estudos de previsão (Mulligan e Wainwright, 2013).…”
Section: Modelos Em Geografia Físicaunclassified