Spatiotemporal patterns of pesticide residues in intensive agricultural soil and water bodies in Shaheed Benazirabad, Pakistan

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Monitoring and Assessment Pub Date : 2025-03-19 DOI:10.1007/s10661-025-13873-2
Najeeba Parre Pakar, Kelly Redeker, Muhammad Farooq Husain Munis, Hassan Javed Chaudhary
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Abstract

This study investigates the spatial and temporal distribution of 21 pesticides across soil and water in three major agricultural tehsils (Nawabshah, Sakrand, and Daur) of district Shaheed Benazirabad, Pakistan, spanning spring, summer, and autumn 2023. Method sensitivity and precision allowed for detection limits (LOD) ranging from 0.016–0.056 in water and 1.39–4.64 in soil with a limit of quantification (LOQ) ensuring high accuracy. Results showed peak pesticide concentrations during summer with detection rates of 74.15% in soil, and 61.2% in water followed by autumn (55.78% and 36%) and spring (30.91% and 24.4%) in soil and water respectively. Highest detection frequencies of chlorpyrifos (882 µg/kg), profenofos (663 µg/kg), malathion (645 µg/kg), and endosulfan (973 µg/kg) were found in soil. Significant concentrations of dimethoate (0.657 µg/L), DDT (0.675 µg/L), and bifenthrin (0.458 µg/L) were recorded in water samples. Sakrand soil exhibited the highest contamination during the summer season reaching the level of 5070 μg/kg soil, highlighting the impact of intensive agriculture practices. Significant correlations were found between pesticide retention and soil and water physiochemical properties. The highest positive correlation was found in pesticide retention with OM and soil pH with CaCO₃ and sulfate and nitrate in water. This study establishes a baseline for pesticide contamination in this agricultural region and analyzes the factors in soil and water that affect pesticide mobility. These findings suggested that environmental monitoring and strict pesticide regulation during peak agriculture season could minimize ecosystem contamination, protect human health, and encourage regulatory and conservation initiatives in high-intensity farming areas.

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巴基斯坦Shaheed Benazirabad集约化农业土壤和水体中农药残留的时空格局
本研究调查了2023年春、夏、秋三季巴基斯坦Shaheed Benazirabad地区3个主要农业省(Nawabshah、Sakrand和Daur) 21种农药在土壤和水中的时空分布。方法的灵敏度和精密度允许检测限(LOD)为0.016 ~ 0.056,土壤为1.39 ~ 4.64,定量限(LOQ)确保了较高的准确性。结果表明,农药浓度夏季最高,土壤检出率为74.15%,水体检出率为61.2%,其次是秋季(55.78%和36%)和春季(30.91%和24.4%)。土壤中毒死蜱(882µg/kg)、异丙磷(663µg/kg)、马拉硫磷(645µg/kg)和硫丹(973µg/kg)的检出频率最高。水样中检测到显著浓度的乐果(0.657µg/L)、滴滴涕(0.675µg/L)和联苯菊酯(0.458µg/L)。萨克兰德土壤夏季污染最高,达5070 μg/kg,集约化农业生产的影响突出。农药滞留量与土壤和水分理化性质呈显著相关。农药滞留量与有机质呈正相关,土壤pH与碳酸钙₃、水中硫酸盐和硝酸盐呈正相关。本研究建立了该农业区农药污染基线,并分析了影响农药流动的土壤和水体因素。这些结果表明,在农业旺季进行环境监测和严格的农药监管可以最大限度地减少生态系统污染,保护人类健康,并鼓励高强度农业地区的监管和保护措施。
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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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