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相关概念视频

Typical Model Studies01:30

Typical Model Studies

350
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.
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

41
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...
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Rapidly Varying Flow01:24

Rapidly Varying Flow

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Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
56
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
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Modeling and Similitude01:12

Modeling and Similitude

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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...
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Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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Sampling materials are classified into three main types: solid, liquid, and gas.
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相关实验视频

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Watershed Planning within a Quantitative Scenario Analysis Framework
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基于机器学习的水质演变和水库类型河流中的污染识别.

Rui Deng1, Tianci Zhu2, Weilin Zhou3

  • 1School of Smart City, Chongqing Jiaotong University, No.66 Xuefu Rd., Nan'an Dist, Chongqing, 400074, China; Technology Innovation Center for Spatio-temporal Information and Equipment of Intelligent City, Ministry of Natural Resources, No.6 Qingzhu East Road, Yubei Dist., Chongqing, 401121, China.

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概括

水库调节显著影响河水质量,增加叶绿素a,同时适度影响总. 机器学习,特别是XGBoost,准确地量化这些污染物动态,以有效地管理生态系统.

关键词:
污染物反向建模的模型.遥感是一种远程传感.水质的演变水质的演变机器学习是机器学习.河流是水库类型的河流.

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科学领域:

  • 环境科学 环境科学
  • 水资源管理 水资源管理
  • 遥感 遥感 遥感 遥感

背景情况:

  • 由于复杂的水力动力学和生物地化学相互作用,在受水库调节的河流中量化污染物运输和转化具有挑战性.
  • 了解这些动态对于管理重要河流系统的水质至关重要,例如三峡水库的支流尤林河.

研究的目的:

  • 通过实地监测和卫星图像,探索林河水质参数 (WQP) 的时空动态.
  • 评估高级机器学习算法 (XGBoost,RF,CatBoost,GBDT) 的性能,以检索WQPs.
  • 确定影响水库规范河流系统污染物动态的主要驱动因素.

主要方法:

  • 结合了48个月的高频场监测数据 (2020年1月至2023年12月) 与Sentinel-2多谱图像.
  • 系统地评估了四种机器学习算法 (XGBoost,RF,CatBoost,GBDT) 来检索化学氧气需求 (COD),总 (TP),总 (TN) 和叶绿素-a (Chla).
  • 分析了水文调节和气象因素对WQPs的影响.

主要成果:

  • 在WQP检索方面,XGBoost表现出优异的性能,R2值从0.9154到0.9488之间,RMSE低 (0.0267-1.7351毫克/升).
  • 储水池灌显著增加了叶绿素a (100%-1000%在56.2%的面积),但对TN的影响很小 (≤40%在73%的面积).
  • 水文条件对河口地区的COD和Chla有很大的影响,在低流量时期水平升高;气象因素显示相关性较弱.

结论:

  • XGBoost是一个强大的工具,用于在水库调节的河流系统中大规模检索水质参数.
  • 水文调节是控制污染物动态的主要因素,特别是甲在灌后的升.
  • 开发的XGBoost模型提供了高精度,流域规模的监测能力,为河流生态系统管理提供了宝贵的见解.