Cargando…

Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials

Runoff and erosion are the most important transport pathways of water, sediment, and associated pesticides from sloped agricultural fields. This results in the loss of fertile topsoil material, nutrients, irrigation water, and plant protection products (PPP) into adjacent surface water bodies. In th...

Descripción completa

Detalles Bibliográficos
Autores principales: Sittig, Stephan, Sur, Robin, Baets, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546288/
https://www.ncbi.nlm.nih.gov/pubmed/34708905
http://dx.doi.org/10.1002/ieam.4546
_version_ 1784805008145907712
author Sittig, Stephan
Sur, Robin
Baets, Dirk
author_facet Sittig, Stephan
Sur, Robin
Baets, Dirk
author_sort Sittig, Stephan
collection PubMed
description Runoff and erosion are the most important transport pathways of water, sediment, and associated pesticides from sloped agricultural fields. This results in the loss of fertile topsoil material, nutrients, irrigation water, and plant protection products (PPP) into adjacent surface water bodies. In the European and US risk assessment for the registration of PPP, runoff and erosion are numerically calculated with the simulation Pesticide Root Zone Model (PRZM) using the US Department of Agriculture (USDA) runoff curve number (CN) concept for the water movement and the MUSS equation to quantify the sediment transfer. This work presents an evaluation of maize field trials conducted in three seasons that considered micro‐dams (i.e., small earthen dams between the rows; also known as “furrow diking,” “furrow damming,” etc.) and/or conservation tillage (via subsoiling) as mitigation measures to investigate the effects on the reduction in runoff and erosion. Measured quantitative reductions and event‐wise calculated CN are presented. Furthermore, the trials were simulated using the PRZM over the complete vegetation period and runoff CN as well as parameter values of the MUSS erosion equation (a relative adaptation of the C‐factor) were inversely estimated. Compared with the control plots (i.e., conventional tillage), micro‐dams or conservation tillage reduced runoff by 24%–71% or 69%–89%, and erosion by 54%–81% or 91%–98%. Based on these data, a robust case can be made to lower CN or parameters in the MUSS equation for surface water exposure scenarios to consider the effects on predicted environmental concentrations (PECs) and estimated environmental concentrations (EECs). Mean resulting CN reductions by micro‐dams or conservation tillage were ascertained to be 6% (±2.5%) or 12% (±3.0%), the C‐factor was reduced by a factor of 0.1 (±0.15) or 0.48 (±0.19). Example calculations show reductions in the ranges of 11%–100% for PECs and 30%–98% for EECs. Integr Environ Assess Manag 2022;18:1348–1363. © 2021 Bayer AG Crop Science. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
format Online
Article
Text
id pubmed-9546288
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-95462882022-10-14 Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials Sittig, Stephan Sur, Robin Baets, Dirk Integr Environ Assess Manag Health & Ecological Risk Assessment Runoff and erosion are the most important transport pathways of water, sediment, and associated pesticides from sloped agricultural fields. This results in the loss of fertile topsoil material, nutrients, irrigation water, and plant protection products (PPP) into adjacent surface water bodies. In the European and US risk assessment for the registration of PPP, runoff and erosion are numerically calculated with the simulation Pesticide Root Zone Model (PRZM) using the US Department of Agriculture (USDA) runoff curve number (CN) concept for the water movement and the MUSS equation to quantify the sediment transfer. This work presents an evaluation of maize field trials conducted in three seasons that considered micro‐dams (i.e., small earthen dams between the rows; also known as “furrow diking,” “furrow damming,” etc.) and/or conservation tillage (via subsoiling) as mitigation measures to investigate the effects on the reduction in runoff and erosion. Measured quantitative reductions and event‐wise calculated CN are presented. Furthermore, the trials were simulated using the PRZM over the complete vegetation period and runoff CN as well as parameter values of the MUSS erosion equation (a relative adaptation of the C‐factor) were inversely estimated. Compared with the control plots (i.e., conventional tillage), micro‐dams or conservation tillage reduced runoff by 24%–71% or 69%–89%, and erosion by 54%–81% or 91%–98%. Based on these data, a robust case can be made to lower CN or parameters in the MUSS equation for surface water exposure scenarios to consider the effects on predicted environmental concentrations (PECs) and estimated environmental concentrations (EECs). Mean resulting CN reductions by micro‐dams or conservation tillage were ascertained to be 6% (±2.5%) or 12% (±3.0%), the C‐factor was reduced by a factor of 0.1 (±0.15) or 0.48 (±0.19). Example calculations show reductions in the ranges of 11%–100% for PECs and 30%–98% for EECs. Integr Environ Assess Manag 2022;18:1348–1363. © 2021 Bayer AG Crop Science. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC). John Wiley and Sons Inc. 2021-11-25 2022-09 /pmc/articles/PMC9546288/ /pubmed/34708905 http://dx.doi.org/10.1002/ieam.4546 Text en © 2021 Bayer AG Crop Science. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC) https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Health & Ecological Risk Assessment
Sittig, Stephan
Sur, Robin
Baets, Dirk
Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials
title Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials
title_full Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials
title_fullStr Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials
title_full_unstemmed Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials
title_short Runoff mitigation via micro‐dams and conservation tillage—Numerical modeling of runoff and erosion from maize field trials
title_sort runoff mitigation via micro‐dams and conservation tillage—numerical modeling of runoff and erosion from maize field trials
topic Health & Ecological Risk Assessment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546288/
https://www.ncbi.nlm.nih.gov/pubmed/34708905
http://dx.doi.org/10.1002/ieam.4546
work_keys_str_mv AT sittigstephan runoffmitigationviamicrodamsandconservationtillagenumericalmodelingofrunoffanderosionfrommaizefieldtrials
AT surrobin runoffmitigationviamicrodamsandconservationtillagenumericalmodelingofrunoffanderosionfrommaizefieldtrials
AT baetsdirk runoffmitigationviamicrodamsandconservationtillagenumericalmodelingofrunoffanderosionfrommaizefieldtrials