Water Quality Modeling for the Raccoon River Watershed Using SWAT
By Manoj Kumar Jha, Jeffrey G. Arnold, Philip Gassman. 2006
197 citations recorded by the source corpus.
Subfields: Ecology, Environmental Chemistry, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/a05c85a45046300edeb3706288d25340bcf0f9e9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
In Environmental Chemistry
- Philip Gassman
- Jeffrey G. Arnold
- M. Reyes
- Colleen H. M. Green
- Misgana K. Muleta
- Raghavan Srinivasan
- Stephen Polasky
- Heather Tallis
In Water Science and Technology
- M. Reyes
- Colleen H. M. Green
- Philip Gassman
- Jeffrey G. Arnold
- Misgana K. Muleta
- Raghavan Srinivasan
- Stephen Polasky
- Heather Tallis
Citations in the corpus
- The Agricultural Policy Environmental EXtender (APEX) Model: An Emerging Tool for Landscape and Watershed Environmental Analyses (2009, background): “SWAT applications range from hydrologic and/or pollutant loss validation studies (Arnold et al., 2000; Saleh et al., 2000; Jha et al., 2007; Reungsang et al., 2007; Green and van Griensven, 2008; Stehr et al., 2008), to hydrologic assessments of climate change, reservoir, wetland, or tile drainage e”
- The Economics of Dead Zones: Causes, Impacts, Policy Challenges, and a Model of the Gulf of Mexico Hypoxic Zone (2014, background): “…as part of its efforts to address the problem of nitrate pollution of drinking water, the US city of Des Moines, Iowa, operates the world’s largest denitrification facility (Jha, Gassman, and Arnold 2007), which releases the nitrogen that has been removed from the drinking water further downstream.”
- The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions (2007, methodology): “However, Jha et al. (2007) report very strong nitrate loss predictions for the Raccoon River Watershed using SWAT2000, with monthly r2 and NSE values that ranged between 0.73 and 0.79 for the calibration and validation periods.”