优化和解释机器和深度学习模型,以改善洛克塔克湖水质管理
Swapan Talukdar1, Shahfahad1, Somnath Bera2
1Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India.
Journal of environmental management
|December 26, 2023
概括
印度洛克塔克湖的水质很差,52.7%的样本非常差. 机器学习模型,特别是随机森林,准确评估了水质指数 (WQI),并将度确定为一个关键的污染指标.
科学领域:
- 环境科学 环境科学
- 水资源管理 水资源管理
- 数据科学与机器学习
背景情况:
- 洛克塔克湖是印度马尼普尔的一个重要的淡水生态系统,由于城市化和污染,其水质下降.
- 有效的管理策略对于应对这种恶化的生态和经济影响至关重要.
研究的目的:
- 为了评估洛克塔克湖的水质指数 (WQI).
- 开发和解释用于WQI评估和污染管理决策的先进机器学习 (ML) 模型.
主要方法:
- 使用基于的权重算法计算WQI.
- 优化的渐变增强机 (GBM),随机森林 (RF) 和深度神经网络 (DNN) 模型使用H2O API中的网格搜索.
- 使用指标验证模型,并使用部分依赖图 (PDP),累积局部效应 (ALE) 和夏普利添加式扩展 (SHAP) 来解释.
主要成果:
- 水质在72.38-100之间,其中52.7%的样本被归类为非常差.
- 射频模型表现出优异的性能,R2值为0.97 (训练) 和0.9 (测试),表现优于GBM和DNN.
- 度被确定为WQI的关键预测因素,pH和温度也很重要.
结论:
- 先进的ML模型,特别是RF,为洛克塔克湖提供准确的WQI评估和解释.
- 识别诸如度之类的关键驱动因素,使得有针对性的污染管理策略成为可能.
- 这项研究为改善重要淡水生态系统的水质监测和决策提供了强有力的框架.
相关概念视频
01:12Modeling and Similitude
268
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
268
01:29Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
56
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
56
01:21Manipulation and Analysis
26
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
26
01:30Typical Model Studies
359
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
359
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
48
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
48
01:27Laminar Flow
1.1K
Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:
1.1K