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Updated: Jun 10, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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模拟水质参数使用模型树,随机森林和非线性回归用于印度浦那市穆拉-穆塔河的水质参数

Pali Sahu1, Shreenivas N Londhe2, Preeti S Kulkarni2

  • 1Civil Department, Oriental College of Technology (OCT), Bhopal, India. palisahu18@gmail.com.

Environmental monitoring and assessment
|October 12, 2024
PubMed
概括

随机森林和模型树等数据驱动的技术可以准确预测河流水质量指标,特别是生物和化学氧气需求. 这些方法为环境和健康管理提供了可靠和快速的评估.

关键词:
化学和生物氧气需求 (BOD和COD)M5模型树 (MT) 是一个模型树.建模建模模型是什么非线性回归 (NLR) 是一种非线性回归法.随机森林 (RF) 是一个随机的森林.

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