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所在平台: Udemy |
课程主页: https://www.udemy.com/course/flood-frequency-analysis-using-glofas-dataset/
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**课程名称：** 基于GloFAS数据集的洪水频率分析 (Flood Frequency Analysis using GloFAS dataset) **课程概述：** 本课程是一门关于如何使用GloFAS数据集进行洪水频率分析（Flood Frequency Analysis, FFA）的实践性课程。洪水频率分析是一种统计方法，用于估算特定地点发生不同频率洪水事件的概率，是洪水风险管理的重要工具。通过分析历史洪水数据，我们可以预测未来洪水发生的可能性和规模。 **课程内容要点：** * **洪水频率分析基础：** 介绍洪水频率分析的原理，包括数据收集（洪水规模和频率）、概率分布的应用（如Gumbel分布、Log-Pearson Type III分布）、以及如何根据统计结果估算不同重现期（如25年、100年、1000年）的洪水。 * **GloFAS数据集的使用：** 详细讲解如何从Copernicus数据库下载GloFAS数据集（NetCDF格式）。 * **数据提取与处理：** * 在QGIS中从NetCDF文件中提取日流量时间序列。 * 在Excel中从长期数据集中提取年最大峰值流量（Annual Maximum Peak Discharges）。 * 将年最大峰值流量导入EasyFit软件。 * **概率分布拟合与选择：** 在EasyFit软件中，对年最大峰值流量数据拟合不同的概率分布函数，并选择最佳拟合分布。 * **洪水频率计算：** 根据选定的概率分布，计算不同概率值对应的洪水。 **课程目的：** 本课程旨在教授学员掌握使用GloFAS数据集进行完整的洪水频率分析流程，包括数据获取、预处理、统计分析、模型拟合和结果解读，从而为洪水风险评估和管理提供技术支持。 **重要提示：** 课程提醒，洪水频率分析存在局限性和不确定性。分析结果的准确性高度依赖于历史洪水数据的质量和数量。此外，气候变化和土地利用变化可能影响洪水频率和规模，增加预测难度。
Flood frequency analysis is a statistical method used to estimate the probability of different flood events occurring at a particular location. It is an important tool for flood risk management and involves analyzing historical flood data to determine the probability of different flood magnitudes occurring in the future.The first step in flood frequency analysis is to gather data on past floods, such as their magnitude and frequency. This data is then used to calculate the probability of different flood magnitudes occurring in the future using probability distributions.The most commonly used probability distribution in flood frequency analysis is the Gumbel distribution, which is based on extreme value theory. Other distributions, such as the Log-Pearson Type III distribution, can also be used depending on the nature of the flood data.Once the probability distributions have been calculated, they can be used to estimate the probability of different flood magnitudes occurring in a given time period, such as the 25-year, 100-year, or 1000-year floods. This information is used to determine flood risk and inform flood risk management strategies, such as the design of flood protection infrastructure.It's worth noting that flood frequency analysis is not without limitations and uncertainties. The accuracy of the results depends on the quality and quantity of historical flood data available, and there is always a degree of uncertainty associated with predicting rare or extreme events. Additionally, climate change and land use changes can impact flood frequency and magnitude, making accurate predictions more difficult.In this course, all details about FFA, downloading the GloFAS dataset from the Copernicus database in NetCDF format, Extracting daily flow time series from NetCDF in QGIS, Extraction of Annual Maximum Peak Discharges in Excel from Long Term dataset, Importing Annual Maximum Peak Discharges into EasyFit software, Fitting different Probability Distribution Functions to Annual Maximum Peak Discharges and selecting best PDF, Calculation of Flood for different probability values.
