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Insight into occurrence, profile and spatial distribution of organochlorine pesticides in soils of solid waste dumping sites of Pakistan: Influence of soil properties and implications for environmental fate

机译:洞察巴基斯坦固体废物倾倒场地土壤中有机氯杀虫剂的发生,型材和空间分布:土壤性质对环境命运的影响

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摘要

Waste dumping sites are considered as significant disposal pathway for waste contaminants including pesticides. In the present study OCPs were analyzed in soils of waste dumping sites of Pakistan. The mean concentrations of OCPs were in the order: Sigma DDTs Sigma HCHs Sigma Endosulfan Sigma HCB Heptachlor. Order of overall Sigma OCPs contamination with respect to location was Lahore Sukkur Karachi Kamoki Faisalabad Hyderabad Losar Gujrat Peshawar. Distribution of OCPs in solid waste dumping site was mainly influenced by textural classes, input history and pollution source. Soil texture was the dominant factor for retention of OCPs, whereas TOC and black carbon has not significantly impacted the concentrations of OCPs. Diagnostic ratios indicated the historical input, anaerobic degradation pathway and use of technical mixtures of DDTs in majority of waste dumping sites whereas for HCHs recent as well as past usage of technical mixture was prevalent in most of the areas. Regression analysis revealed a weak positive correlation of OCPs with socioeconomic indices (HDI, Population, waste generation) which is linked with history of use of these contaminants in the respective areas. Forecasted waste generation quantity for the year 2026 showed that waste generation amount will get doubled by the year 2026 suggesting the need properly designed waste management system.
机译:废物倾倒地点被认为是包括杀虫剂在内的废物污染物的重要处理途径。在本研究中,在巴基斯坦废物倾倒场地的土壤中分析了OCP。 OCP的平均浓度有序:Sigma DDTS> Sigma Hchs> Sigma endosulfan> Sigma HCB>庚烷。整体Sigma OCPS污染的顺序是Lahore> Sukkur> Karachi> Kamoki> Faisalabad>海德拉巴> Losar> Gujrat> Peshahaha.固体废物倾倒网站中的OCP分布主要受到纹理课程,投入历史和污染源的影响。土壤纹理是保留ocps的主要因素,而TOC和黑碳没有显着影响OCP的浓度。诊断比例表明了历史投入,厌氧降解途径和DDT的技术混合物在大多数废物倾倒场地,而对于近期HCH而言,在大多数地区普遍存在地区。回归分析揭示了OCP与社会经济指标(HDI,人口,废弃物)的弱正相关,这些污染物在各个地区的使用历史相关联。预测2026年的废物生成数量表明,浪费生成金额将在2026年度增加一倍,这表明需要适当设计的废物管理系统。

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