一个简单的模型来预测MICP处理的沙子的液压导电性
Yanning Wang1, Longjian Huang2, Bogireddy Chandra2
1Department of Civil Engineering and Smart Cities, College of Engineering, Shantou University, Shantou, 515063, Guangdong, China. wangyn@stu.edu.cn.
Environmental science and pollution research international
|August 21, 2024
概括
这项研究提出了一个新的模型,用于预测微生物诱导碳酸盐沉 (MICP) 处理的沙子中的液压导电性. 该方法有效预测减少污染物扩散,提供可持续的解决方案.
科学领域:
- 地质技术工程 地质技术工程
- 环境科学 环境科学
- 生物技术是生物技术.
背景情况:
- 微生物诱导碳酸盐沉 (MICP) 是一种可持续的土壤改善和污染物修复方法.
- 在MICP处理的土壤中精确预测液压导电性对于有效的环境应用至关重要.
- 现有的模型可能无法完全捕捉影响液压导电性的MICP后处理因素的复杂相互作用.
研究的目的:
- 开发和验证一种新的,可持续的模型,用于预测MICP处理的沙层中的液压导电性.
- 为了整合碳酸 (CaCO3) 含量和晶体特征对土壤液压性能的影响.
- 为评估MICP在减轻有毒污染物扩散方面的有效性提供简化预测工具.
主要方法:
- 开发一个包含空隙比和CaCO3晶体大小 (通过SEM分析) 的预测模型.
- 将这些参数集成到K-C方程中,以制定一个简化的液压导电模型.
- 与实验数据和现有的替代模型对拟议模型的验证.
主要成果:
- 该模型有效地预测了液压导电率的大幅降低 (最初为93-97%,在10%的CaCO3下随访时为67-92%).
- 观察到液压导电率最初急剧下降,随后稳定.
- 证明了模型在评估MICP处理的沙子液压行为的准确性.
结论:
- 开发的模型为MICP处理的沙子中的液压导电性提供了更好的预测准确度.
- 这些发现支持MICP作为控制污染物分散的可持续战略.
- 该研究为地质技术和环境工程应用提供了宝贵的见解.
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