| Title: | Integrated assessment modeling reveals near-channel management as cost-effective to improve water quality in agricultural watersheds |
| Authors: | Hansen, A.T., T. Campbell, S.J. Cho, J.A. Czuba, B.J. Dalzell, C.L. Dolph, P.L. Hawthorne, S. Rabotyagov, Z. Lang, K. Kumarasamy, P. Belmont, J.C. Finlay, E. Foufoula-Georgiou, K.B. Gran, C.L. Kling and P. Wilcock |
| Year: | 2021 |
| Journal: | Proceedings of the National Academy of Sciences |
| Volume (Issue): | 118(28) |
| Pages: | |
| Article ID: | e2024912118 |
| DOI: | 10.1073/pnas.2024912118 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | model and/or data interface |
| Secondary Application Category: | BMP and/or cropping system assessment |
| Watershed Description: | 2,900 km^2 Le Sueur River, a a tributary of the Blue Earth River (and larger Minnesota River and Mississippi River systems) located in south central Minnesota, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | Detailed SWAT testing and scenario results are reported in the supplementary document provided at the article webpage (use the DOI link). Some of the watershed description information was obtained at https://en.wikipedia.org/wiki/Le_Sueur_River. |
| Language: | English |
| Keywords: | water quality, agriculture, wetlands, integrated assessment modeling |