Marked reductions in mean annual rainfall associated with climate change in Eswatini in Southern Africa have encouraged the recycling of irrigation water and the increased use of pesticides in agricultural production, raising concerns about potential ecological and health risks due to long-term exposure to pesticide residues in soil and irrigation water. This probabilistic integrated risk assessment used liquid chromatography with tandem mass spectrometry to analyze the concentrations of four commonly used agricultural pesticides (ametryn, atrazine, pendimethalin, and 2,4-dichlorophenoxyacetic acid (2,4-D)) in irrigation water and topsoil samples from farmlands in Eswatini to assess potential ecological and health risks due to exposure. The concentrations of these pesticides ranged from undetectable to 0.104 µg/L in irrigation water and from undetectable to 2.70 µg/g in soil. The probabilistic multi-pathway and multi-route risk assessments conducted revealed hazard indices exceeding 1.0 for all age groups for ametryn and atrazine, suggesting that the daily consumption of recycled irrigation water and produce from the fields in this area may pose considerable health risks. The indices pertaining to ecological risks had values less than 0.1. Adaptation measures are recommended to efficiently manage pesticide use in agriculture, and further research will ensure that agriculture can adapt to climate change and that the general public and ecosystem are protected.
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http://dx.doi.org/10.3390/toxics11090770 | DOI Listing |
Mol Biol Rep
January 2025
Plant Protection and Bimolecular Diagnosis Department, Arid Lands Cultivation Research Institute, City of Scientific Research and Technological Applications, New Borg El-Arab 21934, Alexandria, Egypt.
Background: Heavy metal contamination, particularly from lead (Pb), poses a significant threat to plant agriculture worldwide, adversely affecting growth, physiological functions, and yield. Signalling molecules such as calcium and salicylic acid are known to mitigate various stresses in plants, prompting this study to explore their interaction with Pb stress in wheat.
Methods: A pot experiment was conducted in which wheat grains were primed with either distilled water, 5 mM calcium (Ca), or 0.
Mar Pollut Bull
January 2025
College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China.
Seawater intrusion and human activities have significantly impacted coastal groundwater quality in many regions worldwide. This study systematically assessed groundwater chemistry, its suitability for drinking and irrigation (sample size, n = 3034), and exposure risks (n = 2863) across three key sub-regions of the Bohai Sea area: Bohai Bay, Liaodong Bay, and Laizhou Bay. Significant seasonal variations observed in groundwater chemistry at different depths in Bohai Bay region, with severe contamination from salinity-alkalinity and nitrogen-fluoride.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Earth and Environmental Sciences, California State University, Fresno, CA, United States of America.
Rice-crab co-culture is an environmentally friendly agricultural and aquaculture technology with high economic and ecological value. In order to clarify the structure and function of soil and water microbial communities in the rice-crab symbiosis system, the standard rice-crab field with a ring groove was used as the research object. High-throughput sequencing was performed with rice field water samples to analyze the species and abundance differences of soil bacteria and fungi.
View Article and Find Full Text PDFPLoS One
January 2025
School of Civil and Architectural Engineering, Harbin University, Harbin, China.
This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm-Backpropagation Neural Network (EGA-BPNN) model in the context of smart agriculture. To achieve this, irrigation flow prediction in agricultural fields is chosen as the research topic. Firstly, the BPNN principles are studied, revealing issues such as sensitivity to initial values, susceptibility to local optima, and sample dependency.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Sustainability Cluster, School of Engineering, University of Petroleum and Energy Studies, Dehradun, 248007, India.
This study provides a detailed approach to evaluating water quality in the Haridwar district, Uttarakhand, India, by integrating physicochemical and microbiological investigations. It employs multivariate analysis and applies water quality and trophic state indices to evaluate the current state of the water and identify potential sources of contamination. The results from the correlation matrix highlight the dynamic interactions between different water quality parameters.
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