A platform for research: civil engineering, architecture and urbanism
Revealing the Extent of Pesticide Runoff to the Surface Water in Agricultural Watersheds
Pesticides are beneficial in protecting crops from pests and improving agricultural productivity; however, concerns on pesticide pollution in water have increased due to their indiscriminate use and lack of adequate regulations. Many studies have focused on the risks of pesticides considering the limited number and types of pesticide residues in crops and soils, and duration, and very few have focused on surface water throughout the year. Therefore, this study comprehensively identified 308 pesticides in surface water samples collected monthly over one year in the Saemangeum Basin, Korea. Both targeted and non-targeted analyses were used to identify 171 and 24 pesticides, respectively. Results highlight the extensive extent of pesticide contamination. Among the quantified pesticides, bromobutide and pretilachlor consistently exhibited high concentrations and risk levels, as indicated by their elevated risk quotient (RQ) values. Seasonal variations in pesticide concentrations revealed distinct patterns with intensified herbicide use during summer and increased insecticide concentrations during autumn. This study highlights the presence, distribution, and associated ecological risks of pesticides in surface waters, emphasizing the necessity of comprehensive monitoring and regulatory measures to protect aquatic ecosystems. The high RQ values identified for specific pesticides underscore the urgent need to implement effective strategies to mitigate these environmental risks.
Revealing the Extent of Pesticide Runoff to the Surface Water in Agricultural Watersheds
Pesticides are beneficial in protecting crops from pests and improving agricultural productivity; however, concerns on pesticide pollution in water have increased due to their indiscriminate use and lack of adequate regulations. Many studies have focused on the risks of pesticides considering the limited number and types of pesticide residues in crops and soils, and duration, and very few have focused on surface water throughout the year. Therefore, this study comprehensively identified 308 pesticides in surface water samples collected monthly over one year in the Saemangeum Basin, Korea. Both targeted and non-targeted analyses were used to identify 171 and 24 pesticides, respectively. Results highlight the extensive extent of pesticide contamination. Among the quantified pesticides, bromobutide and pretilachlor consistently exhibited high concentrations and risk levels, as indicated by their elevated risk quotient (RQ) values. Seasonal variations in pesticide concentrations revealed distinct patterns with intensified herbicide use during summer and increased insecticide concentrations during autumn. This study highlights the presence, distribution, and associated ecological risks of pesticides in surface waters, emphasizing the necessity of comprehensive monitoring and regulatory measures to protect aquatic ecosystems. The high RQ values identified for specific pesticides underscore the urgent need to implement effective strategies to mitigate these environmental risks.
Revealing the Extent of Pesticide Runoff to the Surface Water in Agricultural Watersheds
Young-Eun Kim (author) / Darae Jeon (author) / Hyeri Lee (author) / Yujeong Huh (author) / Soohyung Lee (author) / Jong Guk Kim (author) / Hyoung Seop Kim (author)
2023
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Prediction of nitrogen and phosphorus transport in surface runoff from agricultural watersheds
Springer Verlag | 2006
|Mathematical Models of Water and Substances Runoff from Watersheds
British Library Conference Proceedings | 1995
|Invited lecture: Modeling Pollutant Routing in Runoff in Agricultural Watersheds: a Mixed Approach
British Library Conference Proceedings | 2013
|Runoff Curve Numbers for Peat-Dominated Watersheds
Online Contents | 2015
|Predicting Storm Runoff on Small Experimental Watersheds
ASCE | 2021
|