综述了使用软计算模型计算孟加拉国参考蒸发透气量的近期进展和未来前景
Md Mahfuz Alam1, Mst Yeasmin Akter1, Abu Reza Md Towfiqul Islam2
1Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.
Journal of environmental management
|December 6, 2023
概括
软计算 (SC) 模型为估计蒸发透气 (ETo) 提供了准确的替代方案,特别是当Penman-Monteith (PM) 方程的数据不可用时. 在孟加拉国,ANFIS模型表现出卓越的性能.
科学领域:
- 水文与水资源工程 水文与水资源工程
- 环境科学中的人工智能
背景情况:
- 蒸发透气 (ETO) 对于水资源管理至关重要,但像Penman-Monteith (PM) 方程这样的传统方法需要广泛的气候数据.
- 软计算 (SC) 模型为准确的ETO估计提供了一个有希望的替代方案,特别是在数据稀缺的地区.
结论:
- 软计算模型为ETO估计提供了强大而准确的方法,克服了传统方法的局限性.
- 这些发现支持通过先进的SC建模来加强水资源监测和管理计划.
- 本综述是全球水文学家和水资源工程师的宝贵资源.
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