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一个基于变化系数方法的三维采样设计,用于土壤环境损害调查
1Shenyang Jianzhu University, Shenyang, 110168, China. Tyl98037@163.com.
Environmental monitoring and assessment
|February 28, 2024
概括
这项研究引入了一种优化的土壤采样方法,使用3D kriging插值来提高现场污染评估的准确性和成本节省. 新方法显著降低了采样和测试费用,同时提高了识别污染程度的精度.
科学领域:
- 环境科学 环境科学
- 地质统计学 在地质统计学
- 土壤科学 土壤科学
背景情况:
- 传统的网格土壤采样方法往往缺乏效率和准确性.
- 污染的地点,如有色金属加工厂,需要精确的土壤采样,以进行有效的整治.
- (As) 污染对环境和健康构成重大风险.
研究的目的:
- 开发和验证一个具有成本效益,高精度的土壤采样策略.
- 优化采样密度和深度,以进行现场污染评估.
- 为了减少与土壤采样和测试相关的财务负担.
主要方法:
- 利用基于初步调查数据的三维战争插值模型.
- 应用变化系数方法来估计在污染间隔内的表面土壤采样密度.
- 根据污染间隔的垂直预测结果确定最佳采样深度.
主要成果:
- 优化的土壤采样方法在采样点较少的情况下实现了更高的准确性.
- 在深度优化后,采样准确率达到87.62%.
- 与全面部署相比,观察到显著的成本降低:采样66.13%,测试56.93%.
结论:
- 开发的方法为预测现场污染提供了一种新且经济的方法.
- 优化的抽样策略提高了准确性,减少了资源支出.
- 提供了指导污染场所有效的补救后战略的关键数据.
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