Modeling of Bentazone Leaching in Soils with Low Organic Matter Content

Autor: Tadeusz Paszko, Claudio A. Spadotto
Přispěvatelé: TADEUSZ PASZKO, UNIVERSITY OF LIFE SCIENCES, LUBLIN, CLAUDIO APARECIDO SPADOTTO, CNPTIA.
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Environmental Research and Public Health; Volume 19; Issue 12; Pages: 7187
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
ISSN: 1660-4601
DOI: 10.3390/ijerph19127187
Popis: The aim of this study was to estimate bentazone´s potential to leach to groundwater in the Arenosols developed from sand, Luvisols developed from loamy sand or sandy loam, and Luvisols or Cambisols developed from loess, and to identify the major factors influencing bentazone´s fate in the soils. Potato and maize cultivations were simulated using the FOCUS PELMO 5.5.3 pesticide leaching model. The amount of bentazone reaching groundwater was highly sensitive to degradation parameters, water-holding capacity, evapotranspiration, organic carbon content, and pH. The highest bentazone concentrations in percolate were noted in Arenosols. The risk of bentazone concentration exceeding 0.1 µg/L was low only in Arenosols with high organic carbon content (3.0% for topsoil or higher). In Luvisols developed from loamy sand or sandy loam, the estimated bentazone concentrations in percolate were highly dependent on the climate. In Luvisols or Cambisols developed from loess, concentrations of >0.1 µg/L were the least likely due to the high water-holding capacity and high organic carbon content of these soils. The study also revealed that the FOCUS Hamburg scenario, representing the coarsest soils in the European Union with relatively low organic carbon content, does not reflect the leaching potential of Arenosols and Luvisols. Made available in DSpace on 2022-06-13T15:20:19Z (GMT). No. of bitstreams: 1 AP-Modeling-bentazone-2022.pdf: 2043050 bytes, checksum: 576e561db06a0345021aa7c0cca6d432 (MD5) Previous issue date: 2022
Databáze: OpenAIRE