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相关概念视频

Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

1.8K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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Precipitation Processes01:12

Precipitation Processes

461
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
461
Precipitation Gravimetry01:03

Precipitation Gravimetry

6.6K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
6.6K
Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

1.1K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
1.1K
Types of Coprecipitation01:10

Types of Coprecipitation

636
Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
636
Survival Tree01:19

Survival Tree

88
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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Design and Analysis for Fall Detection System Simplification
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深度学习降水预测模型与特征分析相结合.

Xianqi Zhang1,2,3, Zhiwen Zheng4, Haiyang Li1

  • 1Water Conservancy College, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.

Environmental science and pollution research international
|November 13, 2023
PubMed
概括

这项研究通过分析降水模式和应用一种新的CEEMD-BiLSTM模型,提高了河南省降雨预报的准确性. 改进的模型显著提高了水资源管理的预测性能.

关键词:
双向的长期短期记忆.互补集合体实证模式分解特性分析 特性分析预计降雨量将有所增加.

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科学领域:

  • 水文学的水文学
  • 气象学 天气学
  • 数据科学数据科学数据科学

背景情况:

  • 准确的降雨预测对于有效的水资源规划和管理至关重要.
  • 分析降雨时间序列特征和调整预测模型可以提高预测准确度.

研究的目的:

  • 为了确定河南省降雨数据 (1961-2013) 中的突变成分和周期性.
  • 通过特征分析和先进的机器学习技术,开发和验证一个改进的降雨预测模型.

主要方法:

  • 使用曼-肯达尔和滑动T突变测试进行趋势分析.
  • 利用波形分析来确定降水系列的周期性.
  • 集成的互补集体实证模式分解 (CEEMD) 与双向长短期内存 (BiLSTM) 网络用于降雨模拟.

主要成果:

  • 基于特征分析的CEEMD-BiLSTM模型显示出高预测准确度.
  • 实现了131.210的平均绝对误差 (MAE) 和187.776.776的根平均平方误差 (RMSE).
  • 纳什-萨特克利夫效率 (NSE) 超过0.910,在四个气象站有显著的预测改进.

结论:

  • CEEMD-BiLSTM模型与特征分析相结合,为降雨预测提供了一个强大的方法.
  • 基于降水特征的特征分析和模型参数调整显著提高了预测准确性.
  • 这种综合方法为河南省的水资源管理提供了宝贵的工具.