Literature DB >> 19707706

Modeling nitrate-nitrogen load reduction strategies for the Des Moines River, Iowa using SWAT.

Keith E Schilling1, Calvin F Wolter.   

Abstract

The Des Moines River that drains a watershed of 16,175 km(2) in portions of Iowa and Minnesota is impaired for nitrate-nitrogen (nitrate) due to concentrations that exceed regulatory limits for public water supplies. The Soil Water Assessment Tool (SWAT) model was used to model streamflow and nitrate loads and evaluate a suite of basin-wide changes and targeting configurations to potentially reduce nitrate loads in the river. The SWAT model comprised 173 subbasins and 2,516 hydrologic response units and included point and nonpoint nitrogen sources. The model was calibrated for an 11-year period and three basin-wide and four targeting strategies were evaluated. Results indicated that nonpoint sources accounted for 95% of the total nitrate export. Reduction in fertilizer applications from 170 to 50 kg/ha achieved the 38% reduction in nitrate loads, exceeding the 34% reduction required. In terms of targeting, the most efficient load reductions occurred when fertilizer applications were reduced in subbasins nearest the watershed outlet. The greatest load reduction for the area of land treated was associated with reducing loads from 55 subbasins with the highest nitrate loads, achieving a 14% reduction in nitrate loads achieved by reducing applications on 30% of the land area. SWAT model results provide much needed guidance on how to begin implementing load reduction strategies most efficiently in the Des Moines River watershed.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19707706     DOI: 10.1007/s00267-009-9364-y

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  3 in total

1.  Evaluation of nitrate nitrogen fluxes from a tile-drained watershed in central Iowa.

Authors:  M D Tomer; D W Meek; D B Jaynes; J L Hatfield
Journal:  J Environ Qual       Date:  2003 Mar-Apr       Impact factor: 2.751

2.  Water quality, nutrients and the European union's Water Framework Directive in a lowland agricultural region: Suffolk, south-east England.

Authors:  Nicholas J K Howden; Michael J Bowes; Alistair D J Clark; Neil Humphries; Colin Neal
Journal:  Sci Total Environ       Date:  2009-02-12       Impact factor: 7.963

3.  Modeling riverine nitrate export from an East-Central Illinois watershed using SWAT.

Authors:  X Hu; G F McIsaac; M B David; C A L Louwers
Journal:  J Environ Qual       Date:  2007-05-25       Impact factor: 2.751

  3 in total
  7 in total

1.  Effect of nutrient management planning on crop yield, nitrate leaching and sediment loading in Thomas Brook watershed.

Authors:  Frederick Amon-Armah; Emmanuel K Yiridoe; Nafees H M Ahmad; Dale Hebb; Rob Jamieson; David Burton; Ali Madani
Journal:  Environ Manage       Date:  2013-08-13       Impact factor: 3.266

2.  Letting wet spots be wet: restoring natural bioreactors in the dissected glacial landscape.

Authors:  Keith E Schilling; Eileen McLellan; E Arthur Bettis
Journal:  Environ Manage       Date:  2013-08-24       Impact factor: 3.266

3.  Iowa Stream Nitrate, Discharge and Precipitation: 30-Year Perspective.

Authors:  Christopher S Jones; Keith E Schilling; Ian M Simpson; Calvin F Wolter
Journal:  Environ Manage       Date:  2018-05-31       Impact factor: 3.266

4.  Land use/land cover water quality nexus: quantifying anthropogenic influences on surface water quality.

Authors:  Cyril O Wilson
Journal:  Environ Monit Assess       Date:  2015-06-12       Impact factor: 2.513

5.  Assessment of Agriculture Pressures Impact on the Joumine River Water Quality Using the PEGASE Model.

Authors:  Amira Boukari; Sihem Benabdallah; Etienne Everbecq; Pol Magermans; Aline Grard; Hamadi Habaieb; Jean-François Deliège
Journal:  Environ Manage       Date:  2019-09-21       Impact factor: 3.266

6.  Estimation of tile drainage contribution to streamflow and nutrient loads at the watershed scale based on continuously monitored data.

Authors:  A Arenas Amado; K E Schilling; C S Jones; N Thomas; L J Weber
Journal:  Environ Monit Assess       Date:  2017-08-01       Impact factor: 2.513

7.  Quantifying the effectiveness of a saturated buffer to reduce tile NO3-N concentrations in eastern Iowa.

Authors:  Matthew T Streeter; Keith E Schilling
Journal:  Environ Monit Assess       Date:  2021-07-21       Impact factor: 2.513

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.