通过集成深度学习神经网络和模糊方法来加强水质监测
Marzieh Mokarram1, Hamid Reza Pourghasemi2, Tam Minh Pham3
1Department of Geography, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran.
Marine pollution bulletin
|July 13, 2024
概括
全球人口增长降低了海水质量. 这项研究使用地理统计学和模糊逻辑来绘制伊朗的水污染,发现北部地区的污染程度更高,并使用LSTM模型预测未来的趋势.
科学领域:
- 环境科学 环境科学
- 水质管理水质管理
- 地质统计学 在地质统计学
背景情况:
- 全球人口增长导致水质的严重恶化,特别是在海洋环境中.
- 有效的水质监测对于理解变化和制定管理策略至关重要.
- 由于人为压力,伊朗西南部的海水质量越来越令人担忧.
研究的目的:
- 用地统计学方法在伊朗西南部空间分析海水质量.
- 使用模糊逻辑生成水质地图.
- 用先进的预测模型预测未来的水污染趋势.
主要方法:
- 在地理信息系统 (GIS) 环境中对水样本进行空间分析.
- 应用地质统计方法进行数据分析.
- 使用大小模糊的会员功能生成水质地图.
- 开发神经网络模型,包括长期短期记忆 (LSTM),用于污染预测.
主要成果:
- 模糊方法分析显示,与南部地区相比,北部地区的污染水平更高.
- 对于水质趋势,LSTM模型表现出极好的预测性能 (R2 = 0.93,RMSE = 0.007).
- 城市化,发电厂建设 (2010-2020年) 和废水管理不善被确定为影响水污染的关键因素.
结论:
- 地理统计和模糊逻辑方法对于空间水质评估是有效的.
- 像LSTM这样的先进模型可以准确地预测未来的水污染趋势.
- 解决城市化和废水管理对于改善该地区的海水质量至关重要.
相关概念视频
01:19Quality of Water
727
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
727
01:14Testing Water Quality
598
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
598