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利用响应面法通过微生物辅助植物修复从粉煤灰改良土壤中优化养分。

Optimizing nutrients from fly ash-amended soil through microbial-assisted phytoremediation using response surface methodology.

机构信息

Civil Engineering Department, Visvesvaraya National Institute of Technology, Nagpur, 440010, India.

出版信息

Environ Monit Assess. 2024 Jan 12;196(2):145. doi: 10.1007/s10661-023-12273-8.

DOI:10.1007/s10661-023-12273-8
PMID:38214830
Abstract

Nutrients are vital ingredients to boost plant health. The availability of nutrients is limited in fly ash (FA) waste to properly implement phytoremediation. The research explored the integration of microbes and treated wastewater irrigation in phytoremediation to provide the necessary nutrients for plant growth in fly ash-amended soils. The Box-Behnken method was used to design the experimental layout for the pot study. Response surface methodology (RSM) was applied as the optimization approach to model predictions for nutrient accumulation. The implemented pot study attained the highest morphological indicators with a plastochron index of 33.40, an absolute growth rate of 2.63 cm/day, and a leaf area of 2681.68 cm and attained maximum biomass of 24.91 g for the treatments that included a mid-range of the variables. The combination of FA 14.98%, microbial dose 4.07 mL, and treated wastewater as the irrigation source was found to be the optimized combination for nitrogen and phosphorus accumulation of 212.4 and 8.867 mg/L.

摘要

养分是促进植物健康的重要组成部分。在粉煤灰(FA)废物中,养分的可利用性有限,无法正确实施植物修复。本研究探讨了将微生物和处理后的废水灌溉整合到植物修复中,以在粉煤灰改良土壤中为植物生长提供必要的养分。采用 Box-Behnken 方法设计盆栽研究的实验布局。响应面法(RSM)被应用于优化方法,以对养分积累的模型预测进行建模。实施的盆栽研究获得了最高的形态指标,叶面积为 2681.68cm 的叶片,比叶面积为 33.40cm,绝对生长速率为 2.63cm/天,在包含中等变量范围的处理中,达到了 24.91g 的最大生物量。发现 FA 为 14.98%,微生物剂量为 4.07mL,处理后的废水作为灌溉源的组合是氮磷积累的最佳组合,分别为 212.4 和 8.867mg/L。

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Environ Pollut. 2023 Jan 1;316(Pt 1):120523. doi: 10.1016/j.envpol.2022.120523. Epub 2022 Oct 28.
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