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作 者:陈华丽 陈佳夷 王挺[1] 叶家辉 吴礼光[1] 乔旭东[1] 朱红娜 CHEN Huali;CHEN Jiayi;WANG Ting;YE Jiahui;WU Liguang;QIAO Xudong;ZHU Hongna(School of Environmental Science and Engineering,Zhejiang Gongshang University,Hangzhou 310018)
机构地区:[1]浙江工商大学,环境科学与工程学院,杭州310018
出 处:《环境科学学报》2025年第1期283-291,共9页Acta Scientiae Circumstantiae
基 金:国家自然科学基金(No.42077178)。
摘 要:为了研究基于地下水修复的过硫酸盐缓释剂的释放过程,本文制备了含有石英砂组分,以过硫酸盐为氧化剂和石蜡为粘合剂的缓释剂并进行了不同条件的释放实验,同时基于一阶动力学和菲克扩散定律提出了一种新的两相扩散模型来模拟缓释剂的释放过程.释放实验设计了不同蜡砂比、不同过硫酸盐含量的缓释剂释放,得到了15 d以上的释放数据,并用一阶动力学、扩散模型和本研究提出的两相扩散模型进行模拟计算.结果表明,两相扩散模型的决定系数R^(2)均在0.96以上,准确度比单一的一阶动力学模型和扩散模型提高10%以上,能更高精度地模拟本研究的缓释剂释放过程.当石蜡占比和过硫酸钠含量逐渐变大时,模型中快速释放常数(k)与有效扩散系数(D_(e))也线性增大.通过两相扩散模型的计算能够更为精准地计算缓释剂的释放过程,为缓释剂的制备和实际原位应用提供数据支撑.To study the release process of persulfate controlled release materials(CRMs)based on groundwater remediation,this paper prepared CRMs containing quartz sand components,using persulfate as oxidant and paraffin as binder,and conducted release experiments under different conditions.At the same time,a new two-phase diffusion model was proposed based on first-order kinetics and Fick's diffusion law to simulate the release process of CRMs.The release experiments were designed to release CRMs with different wax sand ratios and different persulfate contents,obtaining release data for more than 15 days.Simulation calculations were investigated using first-order kinetics,diffusion models,and the two-phase diffusion model proposed in this paper.The results show that the determination coefficients R~2 of the two-phase diffusion model are all above 0.96,and the accuracy is improved by more than 10%compared to a single first-order kinetic model and diffusion model,which can more accurately simulate the release process of CRMs in this paper.As the proportion of paraffin and the content of sodium persulfate gradually increase,the rapid release constant(k)and effective diffusion coefficient(D_(e))in the model also increase linearly.The calculation of the two-phase diffusion model can more accurately calculate the release process of CRMs,providing data support for the preparation and practical in-situ application of CRMs.
分 类 号:X523[环境科学与工程—环境工程]
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