使用集群方法在道路建设项目中找到最终的环境参数系数
Eshagh Rasouli Sarabi1, Ramin Vafaei Poursorkhabi2,3, Mehdi Ravanshadnia1
1Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Scientific reports
|February 5, 2025
概括
本研究介绍了一种使用遗传优化算法的两阶段方法,根据环境影响对道路建设项目的排名. 它确定了不同项目阶段的关键污染参数,以更好地评估和优先考虑环境.
科学领域:
- 环境科学 环境科学
- 土木工程 土木工程是指土木工程.
- 运输工程 运输工程
背景情况:
- 道路运输的发展引发了环境问题,需要有效的评估方法.
- 优先考虑对环境造成最小损害的道路项目至关重要,尤其是在不同地理区域.
研究的目的:
- 提出一种新的两相方法,用于确定道路建设中最佳的环境参数系数.
- 根据其对环境的影响对道路建设项目进行排名,以便更好地分配资源.
主要方法:
- 第一个阶段:基因优化算法 (GOA) 用于确定和集群环境参数系数.
- 第2阶段:使用印度政府的结果计算项目排名的环境指数.
主要成果:
- 水污染 (3.59) 是实施前的关键;噪音污染 (5.89) 在实施期间.
- 土地使用变更期间生态系统损害 (5.25),维护期间土壤污染 (5.81).
- 在道路实施期间,当地气候影响 (5.67) 是显著的.
结论:
- 拟议的方法有效地根据环境影响对道路项目进行排名.
- 在不同的道路建设阶段确定了关键的环境参数.
- 这些发现有助于研究人员优先考虑可持续的道路建设项目.
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